{"as_of":"2026-08-01T00:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a4d1eabc31cd854b5b9b9c7305053c0c90f3bab1d13e5e9229217d9e91de8926","coverage":[{"denominator":143,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-13T19:39:32.740496Z","state":"measured"},{"denominator":173,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":173,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-31T06:34:12.847434+00:00","state":"measured"},{"denominator":73,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T23:18:22.046336Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2502.16759","last_updated":"2026-05-01T23:55:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-24T00:19:46Z","title":"Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations","version":3},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-23T03:03:09.697466Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2502.16759"},"observation_digest":"sha256:3ab13f49fa17387ef212b307e93534da7fd79f51f2a3419d0062f08d50d722f4","observation_id":"2af16a2c-5365-41f8-8068-9a1bc0efad46","resolution":{"observed_at":"2026-05-23T03:05:20.860537Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2508.20900","last_updated":"2025-10-28T09:32:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-28T15:29:51Z","title":"OneRec-V2 Technical Report","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-16T22:56:49.216473Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2508.20900"},"observation_digest":"sha256:8217faf0fb6555c957f2e278443acc371280dd5011c40df601f60f6342fe5b4c","observation_id":"da515030-6513-4dfa-a289-429eea58956b","resolution":{"observed_at":"2026-05-16T22:56:49.251792Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2510.11317","last_updated":"2026-04-13T13:27:12Z","snapshot_observed_at":"2026-07-06T22:32:32.632779Z","submitted_at":"2025-10-13T12:13:17Z","title":"Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T07:45:08.873182Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2510.11317"},"observation_digest":"sha256:885df155e31a0e8c7217ddaea85dc147a8d676f01cfcb5f5611c70f052246b09","observation_id":"94a5382c-3b60-4f2e-b3e6-89d2aa66c062","resolution":{"observed_at":"2026-05-18T07:46:03.454682Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2511.14881","last_updated":"2026-05-08T05:02:43Z","snapshot_observed_at":"2026-07-06T22:36:13.287872Z","submitted_at":"2025-11-18T20:00:19Z","title":"SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-17T20:21:31.266176Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2511.14881"},"observation_digest":"sha256:9ca357c53526a2dc28a44ca4d9fa5dcbece7923cba347d908c359f1944ce54d0","observation_id":"74e8a676-e4e5-4747-b6be-6d351d99dd42","resolution":{"observed_at":"2026-05-17T20:22:04.548287Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2512.13368","last_updated":"2026-05-22T09:00:57Z","snapshot_observed_at":"2026-07-06T22:39:04.164003Z","submitted_at":"2025-12-15T14:23:57Z","title":"BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-25T07:20:46.517218Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2512.13368"},"observation_digest":"sha256:8fb5589364e56383700a171b5c4d91b518123abd328e3c3bc34fcf2f4cf73ca8","observation_id":"24589b7c-47f5-43d8-b7bd-4f16fb965e04","resolution":{"observed_at":"2026-05-25T07:26:42.076468Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2601.22925","last_updated":"2026-05-23T17:53:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-30T12:45:02Z","title":"BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-16T09:24:48.941118Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2601.22925"},"observation_digest":"sha256:69364a49e62c7147635b01434646333183efae9b0341e52fd29999b91703f548","observation_id":"9580c194-af83-4dfa-9c66-70e2ef1bb15c","resolution":{"observed_at":"2026-05-16T09:27:41.255455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2602.10455","last_updated":"2026-05-20T08:54:35Z","snapshot_observed_at":"2026-07-06T22:45:25.047172Z","submitted_at":"2026-02-11T02:53:59Z","title":"Compute Only Once: UG-Separation for Efficient Large Recommendation Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-21T14:14:04.500656Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2602.10455"},"observation_digest":"sha256:9d06d0ed9758c152bcc67ae0a836884df489d647bbb38fefcab949ab094b21ed","observation_id":"3395b961-a198-41bd-bcc7-42a9bb8d5326","resolution":{"observed_at":"2026-05-21T14:14:12.311116Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2602.17050","last_updated":"2026-05-14T18:35:53Z","snapshot_observed_at":"2026-07-06T22:46:21.571641Z","submitted_at":"2026-02-19T03:42:57Z","title":"Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T12:00:32.942950Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2602.17050"},"observation_digest":"sha256:35d1e205daaf4b71afecbc4c9267d210e584e71617acc9199e236a2ccc32af0e","observation_id":"3cf9d016-8118-45ac-8b77-11b5d3ce7563","resolution":{"observed_at":"2026-05-21T12:04:09.545024Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2603.24226","last_updated":"2026-05-22T10:41:18Z","snapshot_observed_at":"2026-07-06T22:50:28.640006Z","submitted_at":"2026-03-25T12:00:26Z","title":"Joint Model Parameter Scaling and Universal-Domain Data Integration for E-commerce Search Ranking","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-25T06:52:50.606682Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2603.24226"},"observation_digest":"sha256:3c8a41c64f169dd1ae35131d33c24c880d10acc50e9c20d3d13b77e3e964db40","observation_id":"02ca307c-5e3c-46f3-be3c-43bd5c0d74e0","resolution":{"observed_at":"2026-05-25T06:55:26.138156Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2603.24422","last_updated":"2026-05-14T07:12:17Z","snapshot_observed_at":"2026-07-06T22:50:28.640006Z","submitted_at":"2026-03-25T15:33:34Z","title":"OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-15T07:22:24.713032Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2603.24422"},"observation_digest":"sha256:a56a9156cc7026eea9d195d4f3154a92e0d62c4b99262a46314588c7fbccc9a7","observation_id":"761519fe-873c-448f-a0fc-57c25cc00c73","resolution":{"observed_at":"2026-05-15T07:25:12.613904Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.02684","last_updated":"2026-04-03T03:26:36Z","snapshot_observed_at":"2026-07-06T22:52:02.162758Z","submitted_at":"2026-04-03T03:26:36Z","title":"MBGR: Multi-Business Prediction for Generative Recommendation at Meituan","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-13T19:16:17.841338Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.02684"},"observation_digest":"sha256:c48783796484e625be0d18ab3bec70aea51a30e47f70088952a47f04384f9bf0","observation_id":"629dd954-362d-42dd-aa84-fde0e572f8f3","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.04976","last_updated":"2026-04-04T17:05:15Z","snapshot_observed_at":"2026-07-06T22:53:51.418227Z","submitted_at":"2026-04-04T17:05:15Z","title":"Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-13T16:59:06.735742Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.04976"},"observation_digest":"sha256:9a91e29a1a432d46678aa023b13bf4adb6982994f43a23379caf7821a7ed8570","observation_id":"e430638d-6618-4360-987d-f5671afc9de3","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.05314","last_updated":"2026-04-07T01:35:20Z","snapshot_observed_at":"2026-07-06T22:54:04.491386Z","submitted_at":"2026-04-07T01:35:20Z","title":"Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T19:55:30.019335Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.05314"},"observation_digest":"sha256:cfc6d97615284ef726be8be3adf00b961ada71165344c967b7f8765d96892e83","observation_id":"2c7f005a-9617-4106-bd06-50475eda9d6a","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.08649","last_updated":"2026-04-09T18:00:00Z","snapshot_observed_at":"2026-07-06T22:57:40.773778Z","submitted_at":"2026-04-09T18:00:00Z","title":"PRAGMA: Revolut Foundation Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T17:37:04.381074Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.08649"},"observation_digest":"sha256:d46ad910c8c76a8821e1cd41c6e5ba595b8affd70e7aa641f192c8ba0e3495e2","observation_id":"dc7bbea6-d6d0-4520-b05a-7819cecf9465","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.08933","last_updated":"2026-04-10T04:02:58Z","snapshot_observed_at":"2026-07-06T22:57:55.179136Z","submitted_at":"2026-04-10T04:02:58Z","title":"IAT: Instance-As-Token Compression for Historical User Sequence Modeling in Industrial Recommender Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T17:20:50.041889Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.08933"},"observation_digest":"sha256:d9d43c90a042d1ab8b1fbd90e8e46ad58075cbede5adf89f0e581411299a21f0","observation_id":"221ab1de-630f-40f2-9597-636ade7a3a94","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.12234","last_updated":"2026-04-30T06:08:06Z","snapshot_observed_at":"2026-07-06T23:00:28.036409Z","submitted_at":"2026-04-14T03:13:50Z","title":"UniRec: Bridging the Expressive Gap between Generative and Discriminative Recommendation via Chain-of-Attribute","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T16:09:49.302682Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.12234"},"observation_digest":"sha256:cdd7a3ca90abb13a5526fdcfb4c922fbc4105baea13292e656975c521d31fcdd","observation_id":"d9fcb04e-e38c-412d-8b3f-90b1ec3abe55","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.13389","last_updated":"2026-04-15T01:38:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-15T01:38:41Z","title":"RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T13:12:31.825699Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.13389"},"observation_digest":"sha256:9c053c39d651bf961cc62a99e08310797417a9f04ac6596a3d7d6f456b1a89be","observation_id":"3e66e8a4-d512-4fe2-9b13-78893485cae8","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.14878","last_updated":"2026-04-16T11:07:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T11:07:05Z","title":"GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T09:58:14.599825Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.14878"},"observation_digest":"sha256:c13f4b84c8dc6447fcc2812a1d5dc464ab192360c174a39921115975dfa92780","observation_id":"7ad3779e-fc12-44ad-9b1c-c092191c41dd","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.15650","last_updated":"2026-07-16T11:34:49Z","snapshot_observed_at":"2026-07-19T23:19:16.599303Z","submitted_at":"2026-04-17T02:47:31Z","title":"Sample Is Feature: Beyond Item-Level, Toward Sample-Level Tokens for Unified Large Recommender Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T08:16:26.087500Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.15650"},"observation_digest":"sha256:f160ba71f8083066f463a8024e86d669294bbd50a07da6e522ab0453181d5cca","observation_id":"13227bc0-9be2-4953-a73f-6a90eb2bff1b","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.15650","last_updated":"2026-07-16T11:34:49Z","snapshot_observed_at":"2026-07-19T23:19:16.599303Z","submitted_at":"2026-04-17T02:47:31Z","title":"Sample Is Feature: Beyond Item-Level, Toward Sample-Level Tokens for Unified Large Recommender Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T06:44:59.047526Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.15650"},"observation_digest":"sha256:bc3105c8e5052ef1b28a16fdd393f7256f47bf142469c6cf3a26179aa595c298","observation_id":"d058f165-538d-4391-9e06-2330ed53c7ad","resolution":{"observed_at":"2026-05-25T06:45:25.707133Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.25787","last_updated":"2026-04-28T15:56:11Z","snapshot_observed_at":"2026-07-06T23:11:34.854305Z","submitted_at":"2026-04-28T15:56:11Z","title":"Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-07T14:59:29.618758Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.25787"},"observation_digest":"sha256:54e150a13bf27254c8df2f942bd6dcde57dc4f9dd656369e069989c39ad9007e","observation_id":"5d04d5ed-c932-409e-87bf-424eed95e5f0","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2604.27747","last_updated":"2026-04-30T11:37:08Z","snapshot_observed_at":"2026-07-06T23:13:11.623453Z","submitted_at":"2026-04-30T11:37:08Z","title":"Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-07T07:42:36.852261Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2604.27747"},"observation_digest":"sha256:03f5190b6db9468c6b2f45b428860d2fa8685dc0daace9c4da6a3819beb04776","observation_id":"65fc0211-49e9-4dc6-882c-e6a46f9cceb6","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.04726","last_updated":"2026-05-06T10:20:44Z","snapshot_observed_at":"2026-07-06T23:17:28.583202Z","submitted_at":"2026-05-06T10:20:44Z","title":"RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-08T16:28:47.356432Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.04726"},"observation_digest":"sha256:84e3133c799ebe03aa6e54ef1d3eedf8abcfba2e381a6ed4a01785a39078df63","observation_id":"7d74bb81-0846-406b-a648-b9e354fff993","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.05096","last_updated":"2026-05-06T16:33:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-06T16:33:13Z","title":"CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T15:54:53.821143Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.05096"},"observation_digest":"sha256:f51e866692052d10ef999967da7bacdef49f4259f4f78e9a5f6fdd5adbf46019","observation_id":"5dd1cb93-ae3f-4b96-bc3b-42f38179013c","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.06981","last_updated":"2026-05-07T21:59:12Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T21:59:12Z","title":"Bridging Textual Profiles and Latent User Embeddings for Personalization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-11T01:02:49.813751Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.06981"},"observation_digest":"sha256:fa11cecba62a39d16ce08dc739027680038538016db2a9ad53b164efb925ebce","observation_id":"6d8d2b53-4e1e-478b-9845-d38c28beb356","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.07039","last_updated":"2026-05-07T23:38:50Z","snapshot_observed_at":"2026-07-06T23:19:25.538514Z","submitted_at":"2026-05-07T23:38:50Z","title":"PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-11T00:54:39.349292Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.07039"},"observation_digest":"sha256:f598b7d02d66757c243681b9a7a950fa006429d6bbca980d0d7adcd4dbbe31ef","observation_id":"316da74e-9c79-40b8-ac5e-423fda2645a0","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.07125","last_updated":"2026-05-08T02:00:11Z","snapshot_observed_at":"2026-07-30T06:31:58.184575Z","submitted_at":"2026-05-08T02:00:11Z","title":"An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-11T01:02:46.958164Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.07125"},"observation_digest":"sha256:178e9a6bf4211567ddd845dd4c9a6b8a86684bcaab48517d544fb22684563af9","observation_id":"8b12f4c5-a30f-4c57-a317-dabe406f544d","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.09040","last_updated":"2026-05-18T07:00:17Z","snapshot_observed_at":"2026-07-06T23:21:11.475005Z","submitted_at":"2026-05-09T16:26:48Z","title":"UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T01:51:47.215030Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.09040"},"observation_digest":"sha256:e5cc39d30c18eb888108951a283581ba43db2e8ae2f7c9aeb606b8a68ff0ecd7","observation_id":"819370ba-63fc-486b-8147-9a8b06e79717","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.09040","last_updated":"2026-05-18T07:00:17Z","snapshot_observed_at":"2026-07-06T23:21:11.475005Z","submitted_at":"2026-05-09T16:26:48Z","title":"UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-14T21:04:43.102584Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.09040"},"observation_digest":"sha256:418912696cec3fc7de37ee66a3efeae65cfbfe528457fa988e6c80d62fbcd101","observation_id":"101604c5-1a6a-46df-9896-c1355a14120f","resolution":{"observed_at":"2026-05-14T21:19:28.839947Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.09040","last_updated":"2026-05-18T07:00:17Z","snapshot_observed_at":"2026-07-06T23:21:11.475005Z","submitted_at":"2026-05-09T16:26:48Z","title":"UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T22:27:34.442931Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.09040"},"observation_digest":"sha256:b12693b369fa5c60e4585efe5ea3f6f80c132154cf9866a2c631a31b36a38ffe","observation_id":"32e1d93d-4b74-49e7-903a-7d84e17437f3","resolution":{"observed_at":"2026-05-20T22:29:09.089659Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.10527","last_updated":"2026-05-11T13:12:23Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:12:23Z","title":"UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T05:01:20.075221Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.10527"},"observation_digest":"sha256:f113f61f50bfb2a7fee161ced8f89513a6b3ddcdcf79b1fb0364b4c5be18d12d","observation_id":"78186f38-c027-4e5e-9ab5-5cca4b37cc95","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.11118","last_updated":"2026-05-14T20:17:47Z","snapshot_observed_at":"2026-07-06T23:23:02.025664Z","submitted_at":"2026-05-11T18:27:08Z","title":"A Cascaded Generative Approach for e-Commerce Recommendations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-13T02:45:47.102573Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.11118"},"observation_digest":"sha256:9c4102b921c849cdb374ecc94153b4530c668d88cf8877764ee75d19f557a76d","observation_id":"011abced-012b-47f7-9f2a-8f55513b9066","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.11118","last_updated":"2026-05-14T20:17:47Z","snapshot_observed_at":"2026-07-06T23:23:02.025664Z","submitted_at":"2026-05-11T18:27:08Z","title":"A Cascaded Generative Approach for e-Commerce Recommendations","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T14:39:21.506844Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.11118"},"observation_digest":"sha256:e283d59f330b074d586e421337fae2e1a6416f53e7320dfaba589e503fff80e9","observation_id":"4e4450e6-4c7c-4217-9333-c7e65271a46c","resolution":{"observed_at":"2026-05-19T14:42:37.515210Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.11447","last_updated":"2026-05-12T02:56:59Z","snapshot_observed_at":"2026-07-06T23:23:16.461539Z","submitted_at":"2026-05-12T02:56:59Z","title":"Conditional Memory Enhanced Item Representation for Generative Recommendation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-13T02:30:29.654122Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.11447"},"observation_digest":"sha256:9b09aa2d025fac278af2b44b27df717f1fe8f1a89ca15692ade754fb9c2d0e6a","observation_id":"ba90b096-9a36-43b3-b068-30abf8cd4fc5","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.11553","last_updated":"2026-05-12T05:35:00Z","snapshot_observed_at":"2026-07-06T23:23:21.034839Z","submitted_at":"2026-05-12T05:35:00Z","title":"TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-13T01:40:04.856714Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.11553"},"observation_digest":"sha256:2294fb533d7b1ab60eec87326edb01dcf595fb5ef55504658dd76f4609350774","observation_id":"f43d17bb-3899-4a49-b2ab-330853d1f668","resolution":{"observed_at":"2026-05-13T19:39:33.082504Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.14512","last_updated":"2026-05-14T07:55:43Z","snapshot_observed_at":"2026-07-06T23:25:54.070869Z","submitted_at":"2026-05-14T07:55:43Z","title":"Asymmetric Generative Recommendation via Multi-Expert Projection and Multi-Faceted Hierarchical Quantization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-15T01:48:42.759751Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.14512"},"observation_digest":"sha256:dbdaade90f9dd33c0a37e45912eb1928bba227eaa7b70deb1f00cf3adbf8c767","observation_id":"a5532472-343f-4b89-8b24-ceb3ea653f48","resolution":{"observed_at":"2026-05-15T01:49:38.217770Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.17779","last_updated":"2026-05-18T02:57:19Z","snapshot_observed_at":"2026-07-06T23:28:45.646975Z","submitted_at":"2026-05-18T02:57:19Z","title":"Learning Variable-Length Tokenization for Generative Recommendation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-20T12:00:37.247231Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.17779"},"observation_digest":"sha256:92550a6a9100d3859d1ea670e68be16348c1223613eb3c9c5df5f91da79f73b1","observation_id":"765a1633-a002-42fa-9608-fcec96af3760","resolution":{"observed_at":"2026-05-20T12:03:15.119374Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.17994","last_updated":"2026-05-18T07:50:15Z","snapshot_observed_at":"2026-07-06T23:28:55.079333Z","submitted_at":"2026-05-18T07:50:15Z","title":"Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-20T00:48:49.792353Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.17994"},"observation_digest":"sha256:193acc8f6d04eb96a248ceb34bb2b5deea182038e17390acf9d1bc9b9e4f27af","observation_id":"88d8e4ee-b264-4ae2-80a8-366984158bd4","resolution":{"observed_at":"2026-05-20T00:52:54.799831Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.23312","last_updated":"2026-05-22T07:31:00Z","snapshot_observed_at":"2026-07-06T23:33:34.409634Z","submitted_at":"2026-05-22T07:31:00Z","title":"Towards Generalizable and Efficient Large-Scale Generative Recommenders","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T03:51:28.335012Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.23312"},"observation_digest":"sha256:e25d67ef17a56cdafe51764a2c68325f6ae55af1ae8f7de10488414569a402fa","observation_id":"77a840a5-c862-4ea3-8a46-355a65f07f90","resolution":{"observed_at":"2026-05-25T03:56:36.916292Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.23702","last_updated":"2026-05-22T14:53:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-22T14:53:00Z","title":"TubiFM: Unified Item, Carousel, and Search Ranking for Streaming Discovery","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T03:04:08.840336Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.23702"},"observation_digest":"sha256:10e919eb3227cf9c36c63408f8accd394abe94c84f058b266e34940a7c49637b","observation_id":"09ad39df-5ce5-4a00-b9cc-ab14bef9d2e7","resolution":{"observed_at":"2026-05-25T03:05:15.297553Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.25514","last_updated":"2026-05-25T07:18:51Z","snapshot_observed_at":"2026-07-06T23:35:26.687529Z","submitted_at":"2026-05-25T07:18:51Z","title":"From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T20:49:45.096493Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.25514"},"observation_digest":"sha256:27068ff96d1cf66168ccc4a85e160c8736af3011a342f49ce345ce2701e156f8","observation_id":"51fea8d3-03b8-4f72-8a39-3b5c055de2a2","resolution":{"observed_at":"2026-06-29T20:53:58.192531Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.25583","last_updated":"2026-06-11T02:35:04Z","snapshot_observed_at":"2026-07-06T23:35:31.372756Z","submitted_at":"2026-05-25T08:33:11Z","title":"LENS: A Staged Design for Interaction Granularity in Sequential CTR Prediction","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-29T20:43:03.477109Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.25583"},"observation_digest":"sha256:3b9bd53880954b4e92973bb22c64c8593084cc18c166ec853b2788d6dc5b46fb","observation_id":"73ed040f-7d02-42e8-9c59-9cad079cb86f","resolution":{"observed_at":"2026-06-29T20:43:58.726990Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.28888","last_updated":"2026-05-27T07:27:32Z","snapshot_observed_at":"2026-07-06T23:38:23.512460Z","submitted_at":"2026-05-27T07:27:32Z","title":"Generative Spatiotemporal Intent Sequence Recommendation via Implicit Reasoning in Amap","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T10:10:14.655556Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.28888"},"observation_digest":"sha256:c5714a86eff777ed4867878670e21108d348a2a0a9c0c5665d5bc1896b86b707","observation_id":"2949d314-7f32-4f9a-87d7-a6532b638562","resolution":{"observed_at":"2026-06-29T10:13:17.714560Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2605.29232","last_updated":"2026-05-28T01:48:19Z","snapshot_observed_at":"2026-07-06T23:38:41.516603Z","submitted_at":"2026-05-28T01:48:19Z","title":"On the Practice of Scaling Search Conversion Rate Prediction","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T06:04:05.505743Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2605.29232"},"observation_digest":"sha256:3323ef9965b9c31b6491544276f635c6edf13d3d57067f8b81e6e337e14a7e04","observation_id":"3473ac2a-7f7c-4251-83d4-d2cb90178590","resolution":{"observed_at":"2026-06-29T15:03:31.975716Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.00324","last_updated":"2026-05-29T20:01:06Z","snapshot_observed_at":"2026-07-06T23:41:01.066075Z","submitted_at":"2026-05-29T20:01:06Z","title":"LLMs Need Encoders for Semantic IDs Too","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-28T20:32:36.937027Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.00324"},"observation_digest":"sha256:c7ab0954dafa8b74841401bff876fc969513db45b1c5ba8e37cbec54db083673","observation_id":"36036dbe-45fd-4571-944a-8804ad759980","resolution":{"observed_at":"2026-06-28T20:42:37.374117Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.03221","last_updated":"2026-06-02T06:31:15Z","snapshot_observed_at":"2026-07-06T23:43:31.629075Z","submitted_at":"2026-06-02T06:31:15Z","title":"VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T08:34:32.266593Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.03221"},"observation_digest":"sha256:9ba32e0dc8228059e422e55c3ae2e8c8a50a36ce6843c7a4b813d7c0daf17af6","observation_id":"d153e318-e0fd-473e-bc02-c2362bc7ba94","resolution":{"observed_at":"2026-07-02T05:06:39.799630Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.07317","last_updated":"2026-06-08T08:58:58Z","snapshot_observed_at":"2026-07-06T23:47:00.425715Z","submitted_at":"2026-06-05T14:37:02Z","title":"Gated Bidirectional Linear Attention for Generative Retrieval","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T20:38:01.086990Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.07317"},"observation_digest":"sha256:44d774194561b1fa66a068049dd1a5bd4bc6bba4ae9411790a89e7551cf34216","observation_id":"30b84d7e-0f27-4650-a038-20ae137e6854","resolution":{"observed_at":"2026-07-02T20:17:22.264680Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.07546","last_updated":"2026-05-04T00:00:53Z","snapshot_observed_at":"2026-07-06T23:47:10.030985Z","submitted_at":"2026-05-04T00:00:53Z","title":"Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-01T00:51:54.836087Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.07546"},"observation_digest":"sha256:9b0be87f3f1de887bd5039bc05d27aab96e25c044cfe55376913103299aa1485","observation_id":"b9cfd163-cceb-48c8-ad70-c4212c921268","resolution":{"observed_at":"2026-07-01T00:55:11.881973Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.07980","last_updated":"2026-06-06T05:07:16Z","snapshot_observed_at":"2026-07-06T23:47:33.680573Z","submitted_at":"2026-06-06T05:07:16Z","title":"DeRes: Decoupling Residual Stability and Adaptivity for Scalable CTR Prediction","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T19:24:00.412682Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.07980"},"observation_digest":"sha256:ead1d712d0afdb2ee765f8eceaaddeeea89108648ff4716468077dbebb299325","observation_id":"8451af59-5516-43db-87b0-96b802f6b440","resolution":{"observed_at":"2026-07-02T21:57:25.816079Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.09888","last_updated":"2026-06-03T09:10:06Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-03T09:10:06Z","title":"SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-28T07:13:54.031036Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.09888"},"observation_digest":"sha256:356d2f89ab394a467533ddcf825e61fc6f19cf07aa1da343d8405adfd65be2b0","observation_id":"0f40615f-3961-4acc-8b74-06aa115c01d4","resolution":{"observed_at":"2026-07-02T07:06:43.827439Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.18379","last_updated":"2026-07-24T17:39:14Z","snapshot_observed_at":"2026-07-29T23:56:40.413488Z","submitted_at":"2026-06-16T18:27:11Z","title":"RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T22:11:12.138289Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.18379"},"observation_digest":"sha256:ae702e18f2c372081c881ef88f1e72c08cd27010b58bf6bc0685f48f8b975bbf","observation_id":"ce9ffd95-37ea-495c-ae6f-5e656a774c99","resolution":{"observed_at":"2026-07-03T23:29:02.792340Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.18379","last_updated":"2026-07-24T17:39:14Z","snapshot_observed_at":"2026-07-29T23:56:40.413488Z","submitted_at":"2026-06-16T18:27:11Z","title":"RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T10:43:41.332035Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.18379"},"observation_digest":"sha256:e2ca16cf93e1ca1ccbfa1117b9a4f61f84dc7930d5a391224e9da814dfa89894","observation_id":"4b7517e2-e90f-4f30-a4dd-5513cd8588f0","resolution":{"observed_at":"2026-06-30T10:44:36.304340Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-14T17:47:07.219294Z","title":"Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations.arXiv preprint arXiv:2402.17152,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.18379","last_updated":"2026-07-24T17:39:14Z","snapshot_observed_at":"2026-07-29T23:56:40.413488Z","submitted_at":"2026-06-16T18:27:11Z","title":"RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T17:47:07.219294Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.18379"},"observation_digest":"sha256:698a96e702db56b3567e578f610d9d7c92b552a8e7f2f28054f6ed98f6e7bcd7","observation_id":"b9287492-5880-450b-8f48-f6049b0cee4e","resolution":{"observed_at":"2026-07-14T17:47:07.219294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.19108","last_updated":"2026-06-17T14:22:18Z","snapshot_observed_at":"2026-07-06T23:54:27.624372Z","submitted_at":"2026-06-17T14:22:18Z","title":"JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-26T21:14:51.750652Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.19108"},"observation_digest":"sha256:e395184e189711b48ea87b68b02a1c5369b5a03689ba37d0b8d211d363e2d349","observation_id":"d163b157-24ef-4211-9041-3b65614e5586","resolution":{"observed_at":"2026-07-04T00:19:13.954935Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.21911","last_updated":"2026-06-20T07:13:49Z","snapshot_observed_at":"2026-07-06T23:56:49.977855Z","submitted_at":"2026-06-20T07:13:49Z","title":"The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-06-26T11:35:41.065037Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.21911"},"observation_digest":"sha256:0287c05c83b32163a116dc8a9f2275d2cdb15665ba9ad827217e172bf190a188","observation_id":"a34e75a7-435e-4f67-afb1-b20a1e922cea","resolution":{"observed_at":"2026-07-04T08:29:42.016797Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.22968","last_updated":"2026-06-22T07:51:15Z","snapshot_observed_at":"2026-07-06T23:57:47.047975Z","submitted_at":"2026-06-22T07:51:15Z","title":"MOCAP: Wafer-Scale-Chip-Oriented Memory-Orchestrated Chunked Pipelining Framework for Prefill-Only LLM Inference","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-26T06:26:59.984686Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.22968"},"observation_digest":"sha256:8fd80f1ef2eb04e3de409858ccf85f31558b7aad9e4dd4704fccbda37eb97e85","observation_id":"d90c3a09-fe21-4c5e-ae92-52682c9368e7","resolution":{"observed_at":"2026-07-04T12:39:49.226631Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.27058","last_updated":"2026-06-25T14:03:28Z","snapshot_observed_at":"2026-07-07T00:01:20.448165Z","submitted_at":"2026-06-25T14:03:28Z","title":"UniFormer: Efficient and Unified Model-Centric Scaling for Industrial Recommendation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T02:13:52.391765Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.27058"},"observation_digest":"sha256:75d9e36c8eba6ca00b7fc0b6df0d878cf5894e87017b84ba77e0bb2815307d02","observation_id":"214f6d0f-ce39-45a2-83f0-f03b523268c2","resolution":{"observed_at":"2026-07-04T14:49:56.199045Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.28368","last_updated":"2026-06-15T08:36:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-06-15T08:36:01Z","title":"EvoRec: Self Evolving Agentic Recommender Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T10:47:52.156114Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.28368"},"observation_digest":"sha256:966e033b2bd7444d74d4ae476ae77bcc0708c0a4c6762f56a1d19c59a47a8d6d","observation_id":"e6b9d0b0-34d4-4a39-9a49-68d4ed3c0399","resolution":{"observed_at":"2026-06-30T10:54:36.703163Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.28533","last_updated":"2026-07-10T20:43:15Z","snapshot_observed_at":"2026-07-22T23:19:12.436838Z","submitted_at":"2026-06-26T18:32:43Z","title":"CMSL: Constructive Multi-Sequence Learning for Recommendation Systems","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-06-30T00:51:49.085017Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.28533"},"observation_digest":"sha256:da4626282da13afa53210cb3ecadc1407d6ef264ad10c3435c37a5df050ddd17","observation_id":"f17dd982-2722-4218-b268-43a89cec1635","resolution":{"observed_at":"2026-07-01T16:05:49.810754Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-14T00:20:56.983620Z","title":"Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations.arXiv preprint arXiv:2402.17152,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.28533","last_updated":"2026-07-10T20:43:15Z","snapshot_observed_at":"2026-07-22T23:19:12.436838Z","submitted_at":"2026-06-26T18:32:43Z","title":"CMSL: Constructive Multi-Sequence Learning for Recommendation Systems","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T00:20:56.983620Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.28533"},"observation_digest":"sha256:78b1454400c89633b7e6204b5e76e42475cd5461e97c20b01c16bae0640b3d86","observation_id":"4e4b077b-2537-4212-af6b-1e72528a24a4","resolution":{"observed_at":"2026-07-14T00:20:56.983620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.29762","last_updated":"2026-07-10T03:14:55Z","snapshot_observed_at":"2026-07-15T23:17:49.019754Z","submitted_at":"2026-06-29T04:16:08Z","title":"Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-06-30T04:45:49.798987Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.29762"},"observation_digest":"sha256:577b2330f1e163b0e1a009db9feacd7b3a348111c9ee8305711f03ac79f959a4","observation_id":"9a1646b7-3aba-43a8-a629-c3af10a0b5be","resolution":{"observed_at":"2026-06-30T16:24:57.369830Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-13T07:14:21.482287Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.29762","last_updated":"2026-07-10T03:14:55Z","snapshot_observed_at":"2026-07-15T23:17:49.019754Z","submitted_at":"2026-06-29T04:16:08Z","title":"Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-13T07:14:21.482287Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.29762"},"observation_digest":"sha256:dccc3a2fe7e771a3a51159171f452d9994d93aad0f5933fd88a9bedf75b99564","observation_id":"962218bd-7e69-4057-938b-0409a9bfa0d7","resolution":{"observed_at":"2026-07-13T07:14:21.482287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2606.32025","last_updated":"2026-06-30T17:53:09Z","snapshot_observed_at":"2026-07-07T00:05:41.920778Z","submitted_at":"2026-06-30T17:53:09Z","title":"Generative Skill Composition for LLM Agents","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-01T05:29:11.490033Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2606.32025"},"observation_digest":"sha256:07d98e1adff01ade63f603163e5a958e0d888bf1f193a0252223ae9117fe2321","observation_id":"28fcbcb5-d5e6-484a-9380-7b63dc2b4ebe","resolution":{"observed_at":"2026-07-01T10:25:42.177581Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2607.00448","last_updated":"2026-07-06T17:02:14Z","snapshot_observed_at":"2026-07-12T09:31:49.091351Z","submitted_at":"2026-07-01T05:07:32Z","title":"Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-02T06:51:07.010077Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.00448"},"observation_digest":"sha256:2cecd3ae84b3e0919bbe2dd1c335fd10f7ea38f84d71195bd86b2725c5821d8b","observation_id":"a216f414-d3c5-48fe-b535-26d46ae61e1c","resolution":{"observed_at":"2026-07-02T06:56:43.813436Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-12T09:31:52.012118Z","title":"arXiv preprint arXiv:2402.17152v3 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.00448","last_updated":"2026-07-06T17:02:14Z","snapshot_observed_at":"2026-07-12T09:31:49.091351Z","submitted_at":"2026-07-01T05:07:32Z","title":"Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-12T09:31:52.012118Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.00448"},"observation_digest":"sha256:1bb269981fd6ff4942f9426a10297f9f5b1c897c57cf6a0763f6f235de0f0d6e","observation_id":"91cb1392-7b28-4d5d-9a4d-a5b02f16807b","resolution":{"observed_at":"2026-07-12T09:31:52.012118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-12T03:01:20.649010Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03362","last_updated":"2026-07-03T14:18:19Z","snapshot_observed_at":"2026-07-12T03:01:20.367266Z","submitted_at":"2026-07-03T14:18:19Z","title":"HGenPush: A Heterogeneous Generative Recommendation Architecture for Industrial Push Notification Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-12T03:01:20.649010Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.03362"},"observation_digest":"sha256:4b4815f9fb8a0ace1d8fbf3ae6c8a88653a21c115e797a7135b2aa36a243281d","observation_id":"1638d468-9e07-4b5e-942c-530732e475a8","resolution":{"observed_at":"2026-07-12T03:01:20.649010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-11T21:55:00.514210Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04068","last_updated":"2026-07-05T01:00:58Z","snapshot_observed_at":"2026-07-11T21:55:00.070098Z","submitted_at":"2026-07-05T01:00:58Z","title":"UniSGR: Unified Framework for Semantic ID Generation and Ranking","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-11T21:55:00.514210Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.04068"},"observation_digest":"sha256:7fc77db647163fae988d99c2d8cdaf975e608642a747e671249c8a498ade1d7c","observation_id":"886959db-320a-44d5-a086-a56a8ddddb71","resolution":{"observed_at":"2026-07-11T21:55:00.514210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":"2402.17152","doi":"10.48550/arxiv.2402.17152","metadata_source":"pith","pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","venue":"cs.LG","work_id":"cedb01b6-64b1-4cd7-a797-f157c3dc9930","year":2024},"citing_paper":{"arxiv_id":"2607.06993","last_updated":"2026-07-10T07:32:06Z","snapshot_observed_at":"2026-07-15T23:17:50.783426Z","submitted_at":"2026-07-08T04:31:18Z","title":"Large Behavior Model: A Promptable Digital Twin of the Retail Customer","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-09T22:13:38.928850Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.06993"},"observation_digest":"sha256:7ce27d85d2e4ddd4e64dab3572160660b9efe401bbe7ae55e2f8e88b72f29b2f","observation_id":"396bed85-cb1a-435e-996e-d74900453666","resolution":{"observed_at":"2026-07-09T22:16:36.489441Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-02T00:57:47.012388+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-13T06:47:40.850966Z","title":"Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.06993","last_updated":"2026-07-10T07:32:06Z","snapshot_observed_at":"2026-07-15T23:17:50.783426Z","submitted_at":"2026-07-08T04:31:18Z","title":"Large Behavior Model: A Promptable Digital Twin of the Retail Customer","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T06:47:40.850966Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.06993"},"observation_digest":"sha256:a1915d0ea5d31176587b9557058b2e77682fdc3626a7ef60b317850d32554931","observation_id":"51ef503c-7e57-4d14-8726-57ccfb48cf5a","resolution":{"observed_at":"2026-07-13T06:47:40.850966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-14T01:13:45.038679Z","title":"Guilin Zhang, Kai Zhao, Jeffrey Friedman, and Xu Chu","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09988","last_updated":"2026-07-22T17:27:17Z","snapshot_observed_at":"2026-07-25T23:21:32.031816Z","submitted_at":"2026-07-10T21:28:43Z","title":"An LLM-powered Agentic Recommendation System for Connected TV Content Discovery","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T01:13:45.038679Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.09988"},"observation_digest":"sha256:e67bc3a79adcaf8c5663c39a20c081b3e79be7e73fa6a4ec81d8621633b9317c","observation_id":"8fa247b4-e9f3-4737-9424-8526e27a5a2a","resolution":{"observed_at":"2026-07-14T01:13:45.038679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-31T23:18:22.046336Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24015","last_updated":"2026-07-27T05:25:50Z","snapshot_observed_at":"2026-07-31T23:18:18.925876Z","submitted_at":"2026-07-27T05:25:50Z","title":"Mosaic: A Fleet of User Embedding Specialists for Recommendation at Meta","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-31T23:18:22.046336Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.24015"},"observation_digest":"sha256:bbd62f9bfa60334322dc95e4ab748789aad94f44cbdda65776e8ba53e5b2a71a","observation_id":"76e8733e-27e4-476d-9b17-deebeb8142f8","resolution":{"observed_at":"2026-07-31T23:18:22.046336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-31T22:39:50.052385Z","title":"Actions speak louder than words: Trillion- parameter sequential transducers for generative recommendations.arXiv preprint arXiv:2402.17152, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27944","last_updated":"2026-07-30T09:52:18Z","snapshot_observed_at":"2026-08-01T00:17:33.540519Z","submitted_at":"2026-07-30T09:52:18Z","title":"Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-31T22:39:50.052385Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.27944"},"observation_digest":"sha256:798240d0d0d20f3e1ecf7ccc4a9a94a49c654951e3b05c4db05f3d6f0dfff551","observation_id":"68bcb66b-a475-4bc4-a654-963d18caf426","resolution":{"observed_at":"2026-07-31T22:39:50.052385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17152","snapshot_observed_at":"2026-07-31T18:47:39.143267Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.28070","last_updated":"2026-07-30T11:45:31Z","snapshot_observed_at":"2026-08-01T00:19:20.434775Z","submitted_at":"2026-07-30T11:45:31Z","title":"CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-31T18:47:39.143267Z"},"links":{"cited_paper":"/paper/2402.17152","citing_paper":"/paper/2607.28070"},"observation_digest":"sha256:c76f7699c92beb104269a5a15ad38948ff30ec22fd261c2a409afa0232173afd","observation_id":"43fd4cbc-d654-4321-9ed7-4b82b1d709d0","resolution":{"observed_at":"2026-07-31T18:47:39.143267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.17152/citation-record","integrity":"/paper/2402.17152/integrity","json":"/paper/2402.17152/citation-record.json","paper":"/paper/2402.17152"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Ermon, Stefano and Rudra, Atri and R","venue":null,"work_id":"26b2e9b3-3881-4efb-8d42-91e7b2fa79ce","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a465bbf0130e1700775dfe91d167afa7d6795b8c309c516634a92c826837becf","observation_id":"0fa6dc9f-b49b-4254-b5cf-869243d833ee","resolution":{"observed_at":"2026-05-13T19:39:33.025565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"bb11d244-c97e-4e9d-9c10-6b62be133029","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:06100bcdbc1026a4b2cbcc313fca81a0a4a25d5a41d47e53f7ea940b3cb44ed3","observation_id":"d210110e-1a91-4d2c-a5c1-8d2d72ab178c","resolution":{"observed_at":"2026-05-13T19:39:33.029529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2022 , eprint=","venue":null,"work_id":"f0a5e38f-f8df-4f9a-8e2c-d0dd46df96dd","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:f19ac1f4c91ae8ad60f29220b63de5996123a22d0133ce30c34d76387721df56","observation_id":"37370971-6531-490a-b6dc-587d1804c9b1","resolution":{"observed_at":"2026-05-13T19:39:33.031380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2020 , eprint=","venue":null,"work_id":"1c64fe64-4f87-43b3-b06b-b02ebcb38427","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:6ed6e25e9082cdb6db32616dfdd465c397cbb1e15fdb2c53900f6ef798024ff8","observation_id":"6601f111-d238-425f-b634-e382351182ca","resolution":{"observed_at":"2026-05-13T19:39:33.033598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS) , volume =","venue":null,"work_id":"219a9575-77ea-4df7-9c01-58d277ce6cef","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:12a6bf9f930853aa796dd3ba60e7adc41aca3d6e395e93ef0f4253112f032484","observation_id":"6b2f7904-473c-43e0-a78d-31e5f3b77cc6","resolution":{"observed_at":"2026-05-13T19:39:33.035544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Garcia-Molina, H","venue":null,"work_id":"1f205ec8-3481-4c66-bc97-42489478885c","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:04fcdcd845bd288c5af2710369cf0a8b0045cc5448068713401346a88571b714","observation_id":"90d8cbc0-1713-4626-a248-5ca6789ab4e7","resolution":{"observed_at":"2026-05-13T19:39:33.037432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data , pages =","venue":null,"work_id":"e4c60060-2554-437a-8d48-c99e9a408425","year":2011},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:bbbada02e6b081297878fb6c2f8ecfafcf0bf786b5c090a0dc16a15ab91abe06","observation_id":"d786c4d0-4fd4-45fa-bc49-9eb42c5aad57","resolution":{"observed_at":"2026-05-13T19:39:33.039436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2022 , eprint=","venue":null,"work_id":"98190392-26d2-459b-8121-096ec1f153ad","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:736b799720e31c1b3fdf8ed5e7c381e6f36cdc779f4e443972bd84ac6b6d309c","observation_id":"59bf368e-3138-4b5c-8b86-9b25ddaa9758","resolution":{"observed_at":"2026-05-13T19:39:33.041292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"title =","venue":null,"work_id":"bcf828b9-bb8d-423f-bb16-0761b58a262f","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1ffdd9e597c16c7463357e01b9519aa683e22063127aafac82a6ce8eed82a16f","observation_id":"bb0a5770-dd9b-4222-b70d-e8a896c275eb","resolution":{"observed_at":"2026-05-13T19:39:33.043233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 1st Workshop on Deep Learning for Recommender Systems , pages =","venue":null,"work_id":"0415cb49-5978-4d41-8843-6311c75ca997","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:48f02704cf10ac0bf656ee01f4881fa87f7f673147fb193d7be516887ca8d742","observation_id":"6211b544-4854-4e1b-81ba-185dbe1a413a","resolution":{"observed_at":"2026-05-13T19:39:33.045444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2018 , location =","venue":null,"work_id":"cd842ce4-c6ec-4e93-b731-8293d001900b","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:5fa97e8294d0a6d8a6af44ecdfde277f5d692ece0a12ce0ce30a3ea62421bbcb","observation_id":"f9b878d0-808b-412e-b975-ca41f0aa7314","resolution":{"observed_at":"2026-05-13T19:39:33.047572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1604.06174","last_updated":"2016-04-22T19:21:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-04-21T04:15:27Z","title":"Training Deep Nets with Sublinear Memory Cost","version":2},"cited_work":{"arxiv_id":"1604.06174","doi":"10.48550/arxiv.1604.06174","metadata_source":"pith","pith_arxiv_id":"1604.06174","snapshot_observed_at":"2026-07-11T01:57:49.960653Z","title":"Training Deep Nets with Sublinear Memory Cost","venue":"cs.LG","work_id":"f2c5c287-a500-40e4-a136-e7e3172db1d7","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/1604.06174","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:fca108a565018e3e57aa864fbf32c111586ab54bf17959c3b174cc41384edb99","observation_id":"284f9a26-0a10-4035-ac26-3585234d7fda","resolution":{"observed_at":"2026-05-13T19:39:32.868348Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-05-21T12:26:33.666045+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-21T12:26:33.666045+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Transformers Are RNNs: Fast Autoregressive Transformers with Linear Attention , year =","venue":null,"work_id":"66f7dde9-b7d1-4e5a-bf10-56604bad4d04","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:ef918b279c7f68093c45f67557c8047e44ad9c42a0dccc72c81a2d6b54f78d95","observation_id":"ef244c77-e3c9-4067-9990-8f25aced2e74","resolution":{"observed_at":"2026-05-13T19:39:33.049842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2020 , eprint=","venue":null,"work_id":"33dc5990-5bb8-4664-8202-9045b3c6dc0a","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:5fdf8810df17f8102c105e3d320f39f917fe41258581d673bd3812caac5a8f0e","observation_id":"68cf8667-9b22-4ec1-9f12-66bc4a3cc4d2","resolution":{"observed_at":"2026-05-13T19:39:33.051742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/p18-1008","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation","venue":null,"work_id":"00c5f1b9-c6b4-4227-bfd6-dd4f75758ad7","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:2b24e24fdb53c057e5ad3b1785577d75a52330753206a0fc71713e744639a126","observation_id":"b91eae13-1300-4d40-9554-d59864e4aacd","resolution":{"observed_at":"2026-05-13T19:39:32.819052Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"49ad4eca-2349-4110-8ccc-c2e86c9c9873","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:fbada06da3764a42de1805fe0243cf57d48770737148f894638969661105a15e","observation_id":"38adf3b4-8ef3-4910-87d9-878ec77e5410","resolution":{"observed_at":"2026-05-13T19:39:33.053502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficiently Modeling Long Sequences with Structured State Spaces , booktitle =","venue":null,"work_id":"8d1cc372-7ae1-4c12-a71b-5cb6c4af91fd","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:35f73e5c3821af239b5e0f3ab40d79de74195c42658182596f81f59e9f740c1d","observation_id":"4e51c516-9b5f-44a5-95a7-407d9d14f7bb","resolution":{"observed_at":"2026-05-13T19:39:33.055472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T18:26:27.118764Z","title":null,"venue":null,"work_id":"a9feada2-245c-4cfc-a04d-0c8a70426531","year":2024},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:594236b6e07b8da7733e21b489972dc57faf258effd66c0799ae1fc76414b358","observation_id":"1cce3aa1-1593-4978-bf1c-4b2a648fde23","resolution":{"observed_at":"2026-05-13T19:39:33.057597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2018 , numpages =","venue":null,"work_id":"798b0ddd-0f4b-4050-9e47-9b107078b8b5","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:ba30e2a7e6072d0e4ad37049622fd53e1c867caf3c055d30288dfb493f1b6c67","observation_id":"21164174-3e74-4693-8bbc-e70ce5396118","resolution":{"observed_at":"2026-05-13T19:39:33.059509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0531.341274","doi":"10.1145/3340531.3412744","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Twinbert: Distilling knowledge to twin-structured compressed bert models for large-scale retrieval","venue":null,"work_id":"24bfed46-152a-4021-aebc-ac2fd01f4e99","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1f9b3a0c0b66f09b029e5ef840b393ef23ff6beb5d9d26e64759f278cdaabcce","observation_id":"0af81138-bd8b-43a2-bb5e-f7462a13c643","resolution":{"observed_at":"2026-05-13T19:39:32.802595Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-14T15:50:05.321453+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T15:50:05.321453+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T03:08:02.288369Z","title":null,"venue":null,"work_id":"296b9de5-0258-4b29-832c-3abf245789ad","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:0aff6cc43d9cbf2b22e0b3c99ebc6e079422d86edf76bdeca4d7f314445271be","observation_id":"3af52d75-9812-4c3e-aa16-fe576d09b32f","resolution":{"observed_at":"2026-05-13T19:39:33.061529Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c4276305-180d-4f6f-b7e0-95354a0be83b","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:e17ef6f37f000ad6e106986c540e0b08452503a99dc24f430a57ab54bc55381f","observation_id":"ec4ff45d-7be7-4a0c-b0b1-8bb572ab82d7","resolution":{"observed_at":"2026-05-13T19:39:33.063107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T17:16:24.111187Z","title":"2023 , eprint=","venue":null,"work_id":"329bd184-e5b5-42bc-848f-e4d9af020cd5","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:92c9191d1e302d05c850f2fb3975ad6336acc528e4b0c85cce2d8ee1bb566ecc","observation_id":"d9eb3b46-1df4-41a4-849f-c0a2d5ae2ed4","resolution":{"observed_at":"2026-05-13T19:39:33.064903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T19:06:27.880303Z","title":"2023 , eprint=","venue":null,"work_id":"8a1e4cb7-b339-4ab3-a5b3-604af3598ddb","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:910f98f23ce4fc69fa1f78cc67001a6942afaa799c1f7ef55dad3812799af1ba","observation_id":"dd53d72c-c3e4-4b72-9967-b63e1828c524","resolution":{"observed_at":"2026-05-13T19:39:33.066551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"ADKDD'14: Proceedings of the Eighth International Workshop on Data Mining for Online Advertising , year =","venue":null,"work_id":"2451b8fc-bd9a-4801-8465-07b3491d1edc","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:f7ac0f1ceb9ee76bc0858ea320fa8e601f946161168fdd9b9c4aff6ba912d40b","observation_id":"0ec45556-726d-4e4e-a137-59aaa620a9f9","resolution":{"observed_at":"2026-05-13T19:39:33.069159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reddi and Sanjiv Kumar , title =","venue":null,"work_id":"3d27a62e-7b87-417e-b283-611ceba792ea","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:91f0e84b0d42d8ebbe16dbd9fea898442872315721035c8c286e1757a0f98df7","observation_id":"d4a4f60f-cdca-4e04-a901-280c6248c6da","resolution":{"observed_at":"2026-05-13T19:39:33.070710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2016 , eprint=","venue":null,"work_id":"6982ecbe-2234-4e70-9a93-151ee0eca04d","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:f24472a35bf37634f5c8d29adffe8dab2c02afd3964a2cd4cb925eeb2201e810","observation_id":"cfc1dc10-89e7-4d2d-986d-2da9b4e85579","resolution":{"observed_at":"2026-05-13T19:39:33.072137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Smith and Mike Lewis , title =","venue":null,"work_id":"7858238e-108d-4d62-a955-0fa677d63783","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3f795059f67a64a9dc9efd99e95c5d937c35b8168c678ab77f109e9eecde42c7","observation_id":"4b3152d3-5ee0-45f8-8a9f-219be7c0e7fa","resolution":{"observed_at":"2026-05-13T19:39:33.073733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2021 , eprint=","venue":null,"work_id":"14f7be91-518b-4c85-a545-9337e7a836bd","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:99c1b53d24edbf9d50a2add6971c0d06a122be8a1096ff66031872483221ae26","observation_id":"9583fc19-d33c-4410-89f7-c8443cfacaa3","resolution":{"observed_at":"2026-05-13T19:39:33.075245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Kaiser","venue":null,"work_id":"b5ed955b-7665-41a4-83b1-2a2af27b4ec1","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:e0a3070d795415ec0402aeb657003fa802d288ad9bcd720c7c03551f3761d246","observation_id":"244be128-cf5e-4a84-8d48-fb2dfba1a5bf","resolution":{"observed_at":"2026-05-13T19:39:33.076776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T04:40:41.495049Z","title":"title =","venue":null,"work_id":"f000516c-3120-4fd5-9fa9-f42efa0996f3","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:bdfac0b62c81efbb792f291b7c70b239a0ffad66ec055fc0b278430492c1c3d4","observation_id":"ea14967b-d2ee-44c2-9c42-84d2f52dc774","resolution":{"observed_at":"2026-05-13T19:39:33.078646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Le , editor =","venue":null,"work_id":"50d77772-2758-40a0-a579-e685ebee33c4","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:e22994e539ea7ea0d1cc448c0f5c86f9f137441fc725af4fa5b6582caa876130","observation_id":"334f996f-3d8f-4238-b2c5-00c6258cf305","resolution":{"observed_at":"2026-05-13T19:39:33.080127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T04:46:46.760109Z","title":"International Conference on Learning Representations , year=","venue":null,"work_id":"c41c2b6d-2808-4a83-9537-f2d5bf48bc34","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:89f5a23497ce97bdcd0b9336b3afcb9f627bbd5ec3d36d6391a0e8d4bdfc7210","observation_id":"17556024-e78b-4f24-8ea4-67e5005f802c","resolution":{"observed_at":"2026-05-13T19:39:33.081852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"fe9c8049-9529-406b-9ab8-19a9c361a366","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:513655b939d253bb543f3f905a26ed45dd4ec3dcca562980e802fdecbcfcdfbb","observation_id":"5a14b7a6-3e5c-4220-8b35-5390fd19f5f5","resolution":{"observed_at":"2026-05-13T19:39:32.876574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2022 , eprint=","venue":null,"work_id":"e896662a-4cec-4568-be5a-1862866738a1","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:c9eecd9b20f910f14a6c7265299bffb895576b167d8f6cb448ba816ffb63688f","observation_id":"9286a166-3018-41e4-b396-1109442342ed","resolution":{"observed_at":"2026-05-13T19:39:32.878573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 10th ACM Conference on Recommender Systems , pages =","venue":null,"work_id":"5689d8fb-9551-41a7-97a8-0faf011eb801","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a8c3afe00c4642a7c754e1d5f5f11c51ea8cce7c867d5fe7cb126d4cf0ba1873","observation_id":"e5deb39e-8895-4240-8393-1ea32170969a","resolution":{"observed_at":"2026-05-13T19:39:32.880539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 13th ACM Conference on Recommender Systems , pages=","venue":null,"work_id":"95bd5d5c-8c03-40f2-9e81-7627e72fdbf5","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:67da9bc418056937fdf79cf1407176845d68694fce49f87080e87cd53186e49a","observation_id":"be4842a6-9638-47cc-92f1-c730e5c344e5","resolution":{"observed_at":"2026-05-13T19:39:32.882589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-06T17:42:44.028160Z","title":"9th International Conference on Learning Representations","venue":null,"work_id":"58e01be2-a9ad-465e-ae85-e64d13f0c275","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:db50a6a5abc1e68fe93aa905df346cd3d16b409a40db438f7d7bf63753b17317","observation_id":"487255a9-9939-4c77-9448-1292799b84be","resolution":{"observed_at":"2026-05-13T19:39:32.884560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2020 , eprint=","venue":null,"work_id":"a2899458-8b6c-46f8-8e05-656444414d4b","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:e88001c3046d286788e57e47d1b173ef39a7bb5a7afb59e430ea9b2dd0535c26","observation_id":"44c56a75-cbd0-48b7-87fc-4518f850b51e","resolution":{"observed_at":"2026-05-13T19:39:32.887037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =","venue":null,"work_id":"11f7357c-0a71-43ea-9154-57b17d4e2a18","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:091b3d0b0f3b39b0fc97c4349883bb11d208424c658cc3cc0151d51bde573f84","observation_id":"d8fb59cf-25e5-4875-9a02-59ab29a0f128","resolution":{"observed_at":"2026-05-13T19:39:32.888679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 2018 World Wide Web Conference , pages =","venue":null,"work_id":"78c7cf64-341e-4dcd-8036-13d76f75163c","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:316765f18079b9b1ce394acf20e0f5ad408a2d2b38c41a1f927f60ad75ee02da","observation_id":"ff76f116-a7b5-409f-bde7-539de08507b9","resolution":{"observed_at":"2026-05-13T19:39:32.890336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =","venue":null,"work_id":"eea6cf58-83f2-4bae-b3d0-bcafd5aa97e3","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:e8cdc11d247e66c2e4637d6d688e28ee3bcf2a0038b11a6a793e64da93e12a09","observation_id":"92449f51-af2e-41c7-90b3-c260b709b6a3","resolution":{"observed_at":"2026-05-13T19:39:32.892249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 37th International Conference on Machine Learning , articleno =","venue":null,"work_id":"6226a271-fcd0-42e3-a508-b727e22d3d9b","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:18fd6fbfd85fa70541c5700069c70c433f1a997bce226439603ae4713270eb1e","observation_id":"96f71259-abaa-4755-948e-a616afa29538","resolution":{"observed_at":"2026-05-13T19:39:32.893961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 30th ACM International Conference on Information and Knowledge Management , pages =","venue":null,"work_id":"8021bc85-a5ef-466c-ba0e-03da307a87ea","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1de4a35bf95c748aea77228d5d3f7c29defee206c0bd3d8bd77e3201bbad1c63","observation_id":"775563f5-ab7f-432f-9b57-a091a3090667","resolution":{"observed_at":"2026-05-13T19:39:32.895703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =","venue":null,"work_id":"b06eb74a-667f-4491-87c7-17c94662321a","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:943b00df0072ab5b29fd297a39f53b29cca686729704c99312c5de291636a4ca","observation_id":"bf648137-4c1e-4d3f-81bc-89adf8d55189","resolution":{"observed_at":"2026-05-13T19:39:32.897292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 37th International Conference on Machine Learning , articleno =","venue":null,"work_id":"ade5f71e-c28d-4bac-9087-1246ca401b70","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3dfcf46280ca6b4c47eb392471c24483fa6b961c616589740008ba284887e802","observation_id":"bbbd90aa-4d34-43cf-aaae-ec35be67101b","resolution":{"observed_at":"2026-05-13T19:39:32.898846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fourteenth ACM Conference on Recommender Systems (RecSys'20) , pages =","venue":null,"work_id":"d3dc0275-3b0f-4931-96dc-202542e698a6","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:d3a49340ce7fbcc73b3d2bf98684a574cb88986fe3346b4b1a5ee6c264544b62","observation_id":"6bef6856-4cdf-4b59-b0ff-debc540c64a4","resolution":{"observed_at":"2026-05-13T19:39:32.900372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04039","last_updated":"2023-06-06T22:08:42Z","snapshot_observed_at":"2026-07-06T15:39:26.695526Z","submitted_at":"2023-06-06T22:08:42Z","title":"Revisiting Neural Retrieval on Accelerators","version":1},"cited_work":{"arxiv_id":"2306.04039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.04039","snapshot_observed_at":"2026-07-02T06:56:43.795639Z","title":"arXiv preprint arXiv:2306.04039 , year=","venue":null,"work_id":"72b5f40c-67ef-488a-9434-cd4621cb4fff","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/2306.04039","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:ac17999516382d76f6aaa24659c02a9cc508a89d6fc651abba58dc39c05b2a49","observation_id":"76a5f901-6187-4ef1-aadb-a892fed3503a","resolution":{"observed_at":"2026-05-13T19:39:32.862213Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 15th ACM Conference on Recommender Systems , pages =","venue":null,"work_id":"14f30403-7c83-4a1b-b3e6-ffa873a8ba33","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:991f656bebba46e2ea658c91326eaf52fa8dfbf53519bc333a4904e5e3627f33","observation_id":"5668ce87-6d61-443c-b5ce-17506c6b0f70","resolution":{"observed_at":"2026-05-13T19:39:32.902166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Session-based Recommendations with Recurrent Neural Networks , booktitle =","venue":null,"work_id":"ba4b3320-f2e4-4299-801d-58ebdf035117","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:5444d05a4cce43d64969fd5d4b17d63a6183ea5a032dfbf58307e65c5a5ac5cb","observation_id":"c1a5f595-53e3-4659-b2a4-516b8948f592","resolution":{"observed_at":"2026-05-13T19:39:32.903807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9618.359171","doi":"10.1145/3539618.3591717","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =","venue":null,"work_id":"91227674-b86a-4bc4-9cf6-37efc53595de","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:7f5866cf721b4e19c91a1f3520466f6479cf0c4dfdef76eee8e899bb425875d1","observation_id":"dedd2d18-83be-476d-8309-104417d16ccf","resolution":{"observed_at":"2026-05-13T19:39:32.837090Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 37th International Conference on Machine Learning , articleno =","venue":null,"work_id":"a591640d-cbc7-45f9-ba9c-03b4cc9c1b94","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:6efa1f5c0755e136121f699f0ded8e14cf48f26a370b5c459bd01f3931359368","observation_id":"aa43c862-37d1-4be5-8c30-d4513e2e998e","resolution":{"observed_at":"2026-05-13T19:39:32.905384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , articleno =","venue":null,"work_id":"fec60f2c-50c2-472e-8d57-62168a90c704","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:845db8443faff92cd4d0a5f8869d0961670caeddeed1a2ed9b6ab9172b9d02ee","observation_id":"ede2b257-1190-4a08-b8a2-c805c961f099","resolution":{"observed_at":"2026-05-13T19:39:32.907079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2022 , eprint=","venue":null,"work_id":"6e2311a1-a01f-4aac-9591-a91f6f0692fa","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:974a49ead0e231d952458646d9ef8d2bc62a30fafbe4e36df604b57aafb1f330","observation_id":"cc1691ba-befd-4faf-b639-d8f87afdf601","resolution":{"observed_at":"2026-05-13T19:39:32.908939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Factorization Machines , year=","venue":null,"work_id":"4a1f1366-c519-4c20-9441-bef1fbfc8f8e","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:b0973f2c3cb51d3b6c61351dc60cfa348805b2f9d3aac2ba5e7a7b27a0cdaee2","observation_id":"f55991f3-a39f-470d-a309-9f1310dae936","resolution":{"observed_at":"2026-05-13T19:39:32.910712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages =","venue":null,"work_id":"769e6cef-1bdd-44f0-bcf2-ad6ab22660b7","year":2017},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:c3622755df90932d9cc2bf5d579c7b3f67cd83ff13ffe75faefaf8b3bc7e00a7","observation_id":"c474074e-e428-4039-aa9b-1f83f0e475ad","resolution":{"observed_at":"2026-05-13T19:39:32.912267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages =","venue":null,"work_id":"3625fffd-650a-4c90-84d0-b071a525a800","year":2017},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:7b4cc5e233b4742b3711325eda634ca39748c78a56341d7d88aae1aeaa47cabc","observation_id":"ffc503ee-dcb2-4a77-b02a-1b136e4eba63","resolution":{"observed_at":"2026-05-13T19:39:32.913857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2 , pages =","venue":null,"work_id":"1f2c67a8-a545-4455-8a95-d7f157e2bca2","year":2014},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:05cfa6418a9c028e51d3c2e79078aca44d28edb7fbf862af2262c923d681ab53","observation_id":"cb9a8c3a-05d8-4d73-acdb-b8482b5afb9c","resolution":{"observed_at":"2026-05-13T19:39:32.915489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"8dfb670e-7d9b-4333-8693-48ce67d3a1d1","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:b49b343003cbcaf9917da3b5d33a04c67e0c61abc5ac3b55f90de3837f68d8c9","observation_id":"f0fcbc77-3c25-40f7-8673-fb96072eb9fc","resolution":{"observed_at":"2026-05-13T19:39:32.917063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9859.310987","doi":"10.1145/3109859.3109876","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks , year =","venue":null,"work_id":"6aac7226-55fe-432b-9ec6-528e1459ea74","year":2017},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:366e15b3822499342ea763ecf15c5bb7868653b9aa268b4ecf5f5838d860ac6e","observation_id":"bebf2db2-7f1c-4f46-aebd-bbbf5c2a6127","resolution":{"observed_at":"2026-05-13T19:39:32.793499Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08845","last_updated":"2024-01-24T04:41:01Z","snapshot_observed_at":"2026-07-06T15:27:25.253387Z","submitted_at":"2023-05-15T17:57:39Z","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems","version":2},"cited_work":{"arxiv_id":"2305.08845","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.08845","snapshot_observed_at":"2026-06-30T15:34:48.771898Z","title":"Large Language Models are Zero-Shot Rankers for Recommender Systems , booktitle =","venue":null,"work_id":"5dba4e3f-ce5b-46d1-afa2-5d6a91ebb295","year":2024},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/2305.08845","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:71845a935fbf128198a82fcae8a34de82b479ad53f7f1efbfcd975b21e791505","observation_id":"da55f5a9-1b4c-43e3-ba23-7e388be4ff68","resolution":{"observed_at":"2026-05-13T19:39:32.871849Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T14:46:18.253029Z","title":"2023 , eprint=","venue":null,"work_id":"7ce35342-6a47-4106-aec5-93666d8fe30c","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:ead2a2cf40b9ae2517dd42e2ef99c48f92a3fc77ff4d2c7760313af96a57cbd7","observation_id":"d23e5f91-e35b-49dc-98e6-0f467ba0591e","resolution":{"observed_at":"2026-05-13T19:39:32.918828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T14:46:18.236076Z","title":"2020 , eprint=","venue":null,"work_id":"1a5d14cc-ecd6-416e-822b-ebcb198535ce","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:91e7a0709c976ff227e03cf6ecda3f1a8953b991d764cbaecbd0f0f737524455","observation_id":"6a6a65e9-1887-4fb1-8d60-a92c0addc533","resolution":{"observed_at":"2026-05-13T19:39:32.920430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.08084","last_updated":"2022-05-19T06:50:31Z","snapshot_observed_at":"2026-07-06T13:10:38.860449Z","submitted_at":"2022-05-17T04:13:42Z","title":"M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems","version":2},"cited_work":{"arxiv_id":"2205.08084","doi":"10.48550/arxiv.2205.08084","metadata_source":"arxiv_reference","pith_arxiv_id":"2205.08084","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"M6-rec: Gen- erative pretrained language models are open-ended recommender systems","venue":null,"work_id":"1e6a8513-1389-4640-8985-7e792c4ed30b","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/2205.08084","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:68a56ab43c372078ef5a9407ad4ba067179a002394e4a0bf342f914e95a655cd","observation_id":"109d2e4e-3a10-43da-9d7d-d9be41cae644","resolution":{"observed_at":"2026-05-13T19:39:32.842630Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2018 International Conference on Data Mining (ICDM) , pages=","venue":null,"work_id":"f3b4c547-6164-4ac8-bfb9-e0d683107a79","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:2e316e7bca06abc147f8d331621a1e5dbef0e1b40ced44afff220941f2b532d2","observation_id":"9abfce0b-a878-4127-b158-f618b71893bc","resolution":{"observed_at":"2026-05-13T19:39:32.921921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management , pages =","venue":null,"work_id":"0c5fd6e7-63e4-4194-9fef-bba3a5fb1722","year":2019},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:8467765bedd20d42a1780ed6cc9de924cc36ef37504c30d499e1d81be58a5cf6","observation_id":"e9343d9a-04f9-44da-8c0a-31efd5049e01","resolution":{"observed_at":"2026-05-13T19:39:32.923422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Transformer Memory as a Differentiable Search Index , volume =","venue":null,"work_id":"3dc84659-9b13-4bab-bc99-f42230162c47","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3cb93538e5506659264ffcd2c7f75fda5b8b249a52ba7647f56059f7a63068e8","observation_id":"77a72fd0-b3f3-4893-be32-52d035d934c9","resolution":{"observed_at":"2026-05-13T19:39:32.924966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Bengio, Samy and Weston, Jason , title =","venue":null,"work_id":"55544600-0b0b-4a36-bfad-c52a3341f716","year":2014},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:4fcea758778e26f139e5b95571fa657c12946eed9e6b466db9ef713ce7cd4727","observation_id":"4787a241-2cb4-445e-97ca-7bd9aab20992","resolution":{"observed_at":"2026-05-13T19:39:32.926572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Thirty-seventh Conference on Neural Information Processing Systems , year=","venue":null,"work_id":"1570e6b2-8a9b-40a7-81c1-4dfd49111b50","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3734e59aaafe87cbeaeb8e8d064bda3dc34814dfe5c0c3043703ca9f8ee288eb","observation_id":"be469e5c-46c4-4f18-8826-80af5c81ed7e","resolution":{"observed_at":"2026-05-13T19:39:32.928733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Text is all you need: Learning language representations for sequential recommendation","venue":null,"work_id":"d1614533-15ab-4e03-803a-e81a5e5dfa5d","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a1781ac94ffe5ede5a90062f1896eb7ff8148346b9d46504193e6189d6f3db11","observation_id":"8c978cd8-6fde-457f-bb61-444ee78d52aa","resolution":{"observed_at":"2026-05-13T19:39:32.930416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"2023 , eprint=","venue":null,"work_id":"8f9ae2f1-c9c3-4d04-9aed-3c36554323a6","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:2cb1dc551a61bdc2933f7c3acbe1c1275fc7deb44d6cc189c42ad4e66b36ffa2","observation_id":"f85420b0-82b7-4133-aebb-30e0e69ead77","resolution":{"observed_at":"2026-05-13T19:39:32.932393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T10:56:11.883994Z","title":"2022 , eprint=","venue":null,"work_id":"60f818e3-e70c-4262-b6e2-c53c87304618","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:b84a790c32e18b32b8ca42e5e0587cb9146afbd5d84667de1dc96876a1b0d3b6","observation_id":"dbe36a9e-6f0a-4255-ae1f-128f8adf943e","resolution":{"observed_at":"2026-05-13T19:39:32.934015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ccf5abd8-6a73-4bb4-8b47-8d3f0b2ad319","year":null},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3532dacc2511c2ad52bca82c1398cb454e170dd573061f624055ca98aa6d04ca","observation_id":"c67cf450-18f1-4ac2-bb88-2d0466748bee","resolution":{"observed_at":"2026-05-13T19:39:32.935550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4915.360885","doi":"10.1145/3604915.3608855","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Tallrec: An effective and efficient tuning framework to align large language model with recommendation","venue":null,"work_id":"1bc26ef8-caf8-43cd-a4eb-2fa020a614b2","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a9aa6a8a172e20a59d1846165b11d04b6e72e2f63575c20b7a23db1f90431566","observation_id":"a1d4e383-1e5b-4f87-87ae-28fc83a26c3e","resolution":{"observed_at":"2026-05-13T19:39:32.813026Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"89c44159-d39e-4aa5-a62a-2000c6422200","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:61f0d908fbc002a1ba84ce081003dd55afdb3d8a15fd0aecd282db35a3f6e5bc","observation_id":"dd2f80b2-d9f2-46ff-be8d-7a2d9d9103ee","resolution":{"observed_at":"2026-05-13T19:39:32.937104Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Twin: Two-stage interest network for lifelong user behavior modeling in ctr prediction at kuaishou","venue":null,"work_id":"808e837a-9f39-49f9-9432-f07801c13047","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:9cddc3322aba2263747bdc55885fb248691fa024356248b3c8f80241073c9e00","observation_id":"310c03d5-49cf-4a68-ab6e-b26560935af5","resolution":{"observed_at":"2026-05-13T19:39:32.939074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"6937.334126","doi":"10.1145/3326937.3341261","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Behavior sequence transformer for e-commerce recommendation in alibaba","venue":null,"work_id":"a31a5a7d-e79a-461d-96cd-ffcbf0565ce6","year":2019},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:55b08c34601d2fbb950deb7e407a699f1e83749552d705883a7a7e2ec00bcfe2","observation_id":"a682803e-c49e-4e48-8441-757c6a801f66","resolution":{"observed_at":"2026-05-13T19:39:32.783128Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A simple framework for contrastive learning of visual representations","venue":null,"work_id":"f629f4b5-6e80-446c-9be9-01f43216ee43","year":2020},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:f90925035c9e15aa491b8162f7acc9d33d933912b3733511cb01b391defbd7a3","observation_id":"8cb9ff64-3362-489d-9e3a-c43530c8e34b","resolution":{"observed_at":"2026-05-13T19:39:32.940831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wide & deep learning for recommender systems","venue":null,"work_id":"ea895e4b-c0ee-472d-845d-1ee2bea35759","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:18aa4657c41ed8dece86c827b78426bb7a9df80f91386f95d0a96bbd80e7094a","observation_id":"083f0778-669a-445b-8865-f07e10bb9873","resolution":{"observed_at":"2026-05-13T19:39:32.942776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.10509","last_updated":"2019-04-23T19:29:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-04-23T19:29:47Z","title":"Generating Long Sequences with Sparse Transformers","version":1},"cited_work":{"arxiv_id":"1904.10509","doi":"10.48550/arxiv.1904.10509","metadata_source":"pith","pith_arxiv_id":"1904.10509","snapshot_observed_at":"2026-07-11T03:27:46.891605Z","title":"Generating Long Sequences with Sparse Transformers","venue":"cs.LG","work_id":"c5b81688-45ee-4a9a-b095-e6290f45cb6c","year":2019},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/1904.10509","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:fa8ca6921beb2565bb56ecbba66eeb7b4a04bb520958ac91250d984e30c2aaf7","observation_id":"165b0ac5-cc14-4812-a05d-e52e800b6f47","resolution":{"observed_at":"2026-05-13T19:39:32.849536Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-12T21:49:59.71041+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T21:49:59.71041+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep neural networks for youtube recommendations","venue":null,"work_id":"f100ac0d-2cc3-49cd-a8f0-a1c6c6458e1f","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:4195e3631b17f82242913c4291efa57967741455342087b5d7d04521d4150dcd","observation_id":"9156347e-430d-4a75-9a86-db6a2510c4e8","resolution":{"observed_at":"2026-05-13T19:39:32.944586Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"M6-rec: Generative pretrained language models are open-ended recommender systems","venue":null,"work_id":"bb1451bc-32ec-4e5a-8cfa-fa17a4ca3faa","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:2504123df12f05468582f17987bf2ac00b43967ad30fb3021a78539ec4fd6f11","observation_id":"f6f08e45-9e51-4c6e-ae9b-ea77c048fb18","resolution":{"observed_at":"2026-05-13T19:39:32.946366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A case study on sampling strategies for evaluating neural sequential item recommendation models","venue":null,"work_id":"3f852479-fbbf-40a7-a0a8-9dd4377a73d9","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:00a1fad89605747d73c24ad3ad6a8033334f92a6c919fcb6595e7f041fc3428a","observation_id":"5466bff8-2ed6-45c9-a8d0-fc10399cfa4f","resolution":{"observed_at":"2026-05-13T19:39:32.947983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Flashattention-2: Faster attention with better parallelism and work partitioning","venue":null,"work_id":"1db3ca91-a923-42b5-b4fd-827fe78cd89f","year":2023},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:8edba44ca879629988a7751ac49cdcd49c18356147ff1efe56e64cb1621c2fcf","observation_id":"4f35f879-76fb-4e6e-8122-0d2b51eb47fc","resolution":{"observed_at":"2026-05-13T19:39:32.950160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Y., Ermon, S., Rudra, A., and R \\'e , C","venue":null,"work_id":"f1b0467f-f1d3-49c3-a3c0-c77d306fa3c7","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":105,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:b98f14f2304bd9f291e96e96e28c9925c5914c1b0050ae8106e3808bb44c6bf9","observation_id":"dfdd9efc-db07-4565-a030-e20081240fa4","resolution":{"observed_at":"2026-05-13T19:39:32.952085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/n19-1423","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T01:27:44.847366Z","title":"BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding","venue":"Proceedings of the 2019 Conference of the North","work_id":"3e3c8ac8-b858-4b22-af32-393d98c883e0","year":2019},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:3df77f841260b67f1bb521858757be5f1f01d2d96a0c072af4eae991406760f0","observation_id":"14f09964-2153-4766-aca4-9e46959e28c4","resolution":{"observed_at":"2026-05-13T19:39:32.821587Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-17T19:51:02.335584+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-17T19:51:02.335584+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Z., Liu, Y., Sharma, R., Sugnet, C., Ulrich, M., and Leskovec, J","venue":null,"work_id":"478a0948-32cf-4639-a72e-670a1356ccf7","year":2018},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:ba8d66b2c6e974ee23bb48792724322d0d345eb551dbe0b19e61093242c19b13","observation_id":"68d6c314-4497-423c-ac6f-d6259a4b6749","resolution":{"observed_at":"2026-05-13T19:39:32.954438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.03118","last_updated":"2017-11-02T02:48:38Z","snapshot_observed_at":"2026-07-06T05:29:33.330565Z","submitted_at":"2017-02-10T10:04:30Z","title":"Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"1702.03118","doi":null,"metadata_source":"pith","pith_arxiv_id":"1702.03118","snapshot_observed_at":"2026-07-10T11:57:03.332004Z","title":"Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning","venue":"cs.LG","work_id":"5e02a8ca-5d0e-4a73-ad6f-c3ca805563a0","year":2017},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/1702.03118","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a1a08519a422582722ba5143344e9af1fc0083d872c45b7b3bf23c4b5eec410f","observation_id":"b723ab56-e734-424e-a840-74725e82a4ed","resolution":{"observed_at":"2026-05-13T19:39:32.865351Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning an end-to-end structure for retrieval in large-scale recommendations","venue":null,"work_id":"59e1dd40-8dfe-4151-a872-233c799ff00c","year":2021},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":109,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:a03cd9e3d6365e5ef11d8c3dd9ee9c2ed43b93b402c8c9518e0d9ef532495eb5","observation_id":"aa54eca5-5908-4de6-abd8-64d83c7e5f42","resolution":{"observed_at":"2026-05-13T19:39:32.957475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Expectation-maximization for learning determinantal point processes","venue":null,"work_id":"d284dc0e-8100-4c22-9ac2-c6457295b732","year":2014},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":110,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:f8104fa1d0bcd84f36fb631b2b71daeea35f20606772735c0936cdbec3732ec7","observation_id":"f47dfd82-7753-468c-a7df-2cc327be9af9","resolution":{"observed_at":"2026-05-13T19:39:32.959196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficiently modeling long sequences with structured state spaces","venue":null,"work_id":"47d6efb4-faf8-4277-bd3f-ad8ea5acb0fc","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":111,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:4741858a5a01cef592c14968a2d02f822535ba5cf0bd55d7b4c2dd777eddef77","observation_id":"af11054a-a18d-4026-8ba5-f60a5d334a56","resolution":{"observed_at":"2026-05-13T19:39:32.960861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deepfm: A factorization-machine based neural network for ctr prediction","venue":null,"work_id":"8f8db56d-de0b-4d57-8077-2d5c1bcd866f","year":2017},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":112,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:4da2c889c03fd2c06f347e1704ee37071683280311ec2ae3c6f7c365436a39c3","observation_id":"05a4e208-d95a-4f3b-ac1e-57ce74d69911","resolution":{"observed_at":"2026-05-13T19:39:32.962644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"R., Bengio, S., and Weston, J","venue":null,"work_id":"847c8174-a85e-4510-98a3-c86ad21f1079","year":2014},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":113,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:17b6f9e58f877ac6eed6c8fd533668a5b83203aeeec371d544af1790c327b35b","observation_id":"c0e6c470-3b58-4aab-b022-40d6916332e0","resolution":{"observed_at":"2026-05-13T19:39:32.964151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03385","last_updated":"2015-12-10T19:51:55Z","snapshot_observed_at":"2026-07-06T04:39:28.429064Z","submitted_at":"2015-12-10T19:51:55Z","title":"Deep Residual Learning for Image Recognition","version":1},"cited_work":{"arxiv_id":"1512.03385","doi":"10.48550/arxiv.1512.03385","metadata_source":"pith","pith_arxiv_id":"1512.03385","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Deep Residual Learning for Image Recognition","venue":"cs.CV","work_id":"ae9e5671-23e8-4853-82a4-699b5b8dd639","year":2015},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":114,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/1512.03385","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:65359219b3150a58b1231c2601767446361880b22a4fb632756a0f8d7387429e","observation_id":"e3cee461-fbe3-4089-9f20-82f00a8697c0","resolution":{"observed_at":"2026-05-13T19:39:32.874517Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-16T22:21:34.473166+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-16T22:21:34.473166+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"67f37a05-7054-43be-a8ba-abdf226862e1","year":2014},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1dbfd9c1e10825ff374ab02d22f693c304bd99dea9ba55b97b17a0d6dbb88ae2","observation_id":"e8e9b9c1-dfdf-4e75-8154-106a27731caf","resolution":{"observed_at":"2026-05-13T19:39:32.965659Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06939","last_updated":"2016-03-29T14:52:58Z","snapshot_observed_at":"2026-07-31T19:00:00.136727Z","submitted_at":"2015-11-21T23:42:59Z","title":"Session-based Recommendations with Recurrent Neural Networks","version":4},"cited_work":{"arxiv_id":"1511.06939","doi":"10.48550/arxiv.1511.06939","metadata_source":"pith","pith_arxiv_id":"1511.06939","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Session-based Recommendations with Recurrent Neural Networks","venue":"cs.LG","work_id":"9d4b6587-2e21-4e80-9580-2f993ff7903f","year":2015},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":116,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"cited_paper":"/paper/1511.06939","citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1fed81fcd63653763c6eb6f78560e98aa12166b2c9d30d8ed67ba3cac8c472f5","observation_id":"c9bbbfae-4d67-499c-92ed-e48633857717","resolution":{"observed_at":"2026-05-13T19:39:32.852691Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ca7ce794-09f5-41e5-98ba-e9e60d5ed692","year":2024},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":117,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:1bcaa4f2f28aeb001e1189776e9b4e3734f54e115cc1a0ebcee51e33a3cd900d","observation_id":"5b905dfc-e0ea-41fe-a4be-6d21e328b1c9","resolution":{"observed_at":"2026-05-13T19:39:32.967145Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c9002c88-ac4d-43e8-bd79-17afb71f58a1","year":2022},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:93836da89272fbc81e73d78d34128bf4f813dabc3389a7e65a81e57380921fe4","observation_id":"5e3e38d1-a730-41f3-b924-eb64ddf681c9","resolution":{"observed_at":"2026-05-13T19:39:32.968653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep networks with stochastic depth","venue":null,"work_id":"0bd79c09-14c7-431b-b0c0-549d303732fa","year":2016},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":119,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:cddfd5b3b934145fe7617775b70ee4bcbe5e92c590aa1f4cba55c09d5f7c6ab1","observation_id":"450b2ea0-7b61-4143-b6de-272bf87f7240","resolution":{"observed_at":"2026-05-13T19:39:32.970206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tpami.2010.57","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T21:38:58.127431Z","title":"IEEE Trans","venue":null,"work_id":"97378a9d-7daa-4077-9fe3-b9f143593221","year":2011},"citing_paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","version":3},"reference_index":120,"source":"arxiv_source","source_observed_at":"2026-05-13T19:39:32.740496Z"},"links":{"citing_paper":"/paper/2402.17152"},"observation_digest":"sha256:2b4610fe5a7622d22d8a352f0c285d3b38dad4dfb7502f67b70cf27d64f2be9e","observation_id":"b942496c-7252-48b3-bef7-40c464b97b75","resolution":{"observed_at":"2026-05-13T19:39:32.809688Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-12T04:50:25.84674+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T04:50:25.84674+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2402.17152","last_updated":"2024-05-06T02:05:45Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:35:57.887470Z","submitted_at":"2024-02-27T02:37:37Z","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":8,"verified_exact":13,"verified_fuzzy":76},"total_outbound_references":143},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"thesis":"As of 1 August 2026, this Paper Citation Record lists 100 of 143 outbound references and 73 inbound Pith citation observations for arXiv:2402.17152."}