{"as_of":"2026-08-06T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:03d096de752f009e8311f412de0217ca219e870f0b42d35e3c95f596c4af1e81","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:13:43.244486Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.03131/citation-record","integrity":"/paper/2509.03131/integrity","json":"/paper/2509.03131/citation-record.json","paper":"/paper/2509.03131"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:47.583876Z","title":null,"venue":null,"work_id":"09210a79-fb42-42c6-97dd-06f7d5df1448","year":2020},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:37.949809Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:c0dd1893428195c6a4883ec9c79991f69cbe738a320b1e5c34a9a097093e68fe","observation_id":"90dd30e3-f107-4d4a-8466-d6a8b91d0a7d","resolution":{"observed_at":"2026-08-05T11:13:47.635462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.acl-long.7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:43.823798Z","title":null,"venue":null,"work_id":"0bded4a4-4667-497f-bc86-77427686e75f","year":2021},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.161619Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:f9525c01d8eab4097399746c1b47ccecdfea42d15648ed684f77a75520ad350a","observation_id":"39a0ecff-996d-42f9-8834-53cf738bf6d9","resolution":{"observed_at":"2026-08-05T11:13:43.922625Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:38.312350Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.312350Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:6fdb2db9f2ae7d8979c9f7273e12801aeddd881890edc44aeb97a5aa156160bd","observation_id":"fce2c6d9-ecdd-4d24-83b9-48252011a763","resolution":{"observed_at":"2026-08-05T11:13:38.312350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:47.462918Z","title":null,"venue":null,"work_id":"55ccf046-9f52-4f7e-9fc5-3e1b7b2c4598","year":2009},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.420977Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:cbf0df3c633f55241d87017927b98be187fa262ba7d4c21cd69984cf1589021c","observation_id":"34bb3cd1-8ad1-47d6-a041-cc7f4b8c40ae","resolution":{"observed_at":"2026-08-05T11:13:47.533197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:47.351960Z","title":"Brown, Benjamin Mann, Nick Ryder, and et al","venue":null,"work_id":"899fd154-1172-4b14-ac76-ee421f0bb5eb","year":2020},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.585176Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:647b9b264fdfae158e627c82d8da9d0cec17857303dc1ee387c8e21096de9d0b","observation_id":"ab60104a-0b64-43d9-869e-419664d65d8a","resolution":{"observed_at":"2026-08-05T11:13:47.384648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:47.213734Z","title":null,"venue":null,"work_id":"4700a3d2-386f-4aa1-954c-1881779f0481","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.688665Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:dc441696e4dc2d9084e14a1da48aa338fa78113eea6ae44b5007b65608853e0b","observation_id":"c0c031ff-b576-4c8a-b459-6021a5be7871","resolution":{"observed_at":"2026-08-05T11:13:47.253605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.08084","snapshot_observed_at":"2026-08-05T11:13:38.877359Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.877359Z"},"links":{"cited_paper":"/paper/2205.08084","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:7f6b06c3accfec60e195ffe1370c76677601d251b55b9d7d154e68bd1b6b0a3a","observation_id":"7167e0ca-32f7-487b-9569-07cac715a371","resolution":{"observed_at":"2026-08-05T11:13:38.877359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:38.953378Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:38.953378Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:1dbc8089a5733df3c87e9e528f803f9c3b0e4d32b3626cd55be9c5ce63e3fb50","observation_id":"0af7f745-a20c-47b8-8e3c-7cc5e2f0a9b6","resolution":{"observed_at":"2026-08-05T11:13:38.953378Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-05T11:13:39.152616Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.152616Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:cb9b6a07101a66b4bf96d022a2545a1a4fa2bdbdafe4238f8faf95ed4868b381","observation_id":"61ebec77-5483-4a8b-9b95-9bc419433efd","resolution":{"observed_at":"2026-08-05T11:13:39.152616Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:47.070977Z","title":null,"venue":null,"work_id":"29c8087d-ae91-4f1b-9ffd-2ef3a380b9cc","year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.266280Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:102d68998d76dabaa2bc4ccdd42b855c74ffc3aa024a2b4c9331e0cf0b0cd6a0","observation_id":"c78dc4df-591a-4869-958a-f6b5caaa31da","resolution":{"observed_at":"2026-08-05T11:13:47.131125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:39.381477Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.381477Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:e86790c667b040f0f767308e0e97b1b3522eeee7f779ec4c139fe64b2d850d1e","observation_id":"d0efc062-1beb-4137-b454-fdc27d561c95","resolution":{"observed_at":"2026-08-05T11:13:39.381477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:39.541881Z","title":"Maxwell Harper and Joseph A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.541881Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:eadf383c3e6919dacd140a084cf1cff5678b3be7581e8cd67046056fb72ca0be","observation_id":"4122ff26-2a89-4efb-9f20-8f603fda806f","resolution":{"observed_at":"2026-08-05T11:13:39.541881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:46.933639Z","title":null,"venue":null,"work_id":"44680ca8-1e1d-46c2-ac24-1fe0e5bd1a71","year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.630750Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:4cf4b63be357341804e03995a238bc8944299e6eacadecd681687121decfbb74","observation_id":"d66d4b39-7a60-49dc-a066-f38664a7c1f3","resolution":{"observed_at":"2026-08-05T11:13:47.009959Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:46.852902Z","title":null,"venue":null,"work_id":"cc268b25-64ae-4395-ae45-979ae6a22625","year":2025},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.774507Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:81d8a97d4129dd03de2da88ff3fb1d548bc2b3cf6c96029fbe181f0376afc00a","observation_id":"5e18e84d-3c3f-4ffe-9ecc-079b8954215f","resolution":{"observed_at":"2026-08-05T11:13:46.894536Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03952","last_updated":"2026-04-20T06:05:54Z","snapshot_observed_at":"2026-08-03T00:56:47.399756Z","submitted_at":"2024-03-06T18:56:36Z","title":"Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03952","snapshot_observed_at":"2026-08-05T11:13:39.894817Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.894817Z"},"links":{"cited_paper":"/paper/2403.03952","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:09bf45912f0b6af9833fdf7462ce86672901d7e0c9240b3aa6186138d4ec1d7a","observation_id":"d6e9ff87-0635-47de-aad9-69a983a2a261","resolution":{"observed_at":"2026-08-05T11:13:39.894817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:46.752620Z","title":"McAuley, and Wayne Xin Zhao","venue":null,"work_id":"46063337-3402-40bd-9160-e4171d40cab8","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:39.964879Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:f56d96485876e59fb69af5a1b2cd7fd34ea6bfff881c573c41f81ea32988aa73","observation_id":"6be42900-76f1-4066-b424-42be193c1034","resolution":{"observed_at":"2026-08-05T11:13:46.786975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11143","last_updated":"2024-02-17T00:22:03Z","snapshot_observed_at":"2026-08-05T12:42:44.328594Z","submitted_at":"2024-02-17T00:22:03Z","title":"Foundation Models for Recommender Systems: A Survey and New Perspectives","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11143","snapshot_observed_at":"2026-08-05T11:13:40.033073Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.033073Z"},"links":{"cited_paper":"/paper/2402.11143","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:78ce282c95be7d1462291bc82ead17d36519f932b3316987e1986f501b29a6f2","observation_id":"5529fa05-73f1-48c2-8d43-64ce2f5ebe6e","resolution":{"observed_at":"2026-08-05T11:13:40.033073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00457","last_updated":"2023-07-04T20:04:58Z","snapshot_observed_at":"2026-07-06T15:49:15.368952Z","submitted_at":"2023-07-02T02:37:07Z","title":"GenRec: Large Language Model for Generative Recommendation","version":2},"cited_work":{"arxiv_id":"2307.00457","doi":"10.48550/arxiv.2307.00457","metadata_source":"pith","pith_arxiv_id":"2307.00457","snapshot_observed_at":"2026-08-05T12:16:14.913508Z","title":"GenRec: Large Language Model for Generative Recommendation","venue":"cs.IR","work_id":"c69c768a-aa5f-4f31-bf42-f5e9060db2fb","year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.103254Z"},"links":{"cited_paper":"/paper/2307.00457","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:39e771c9733665ac6f252f95313b3f4cdfc5380f694b95cb068ffec6cf3ec356","observation_id":"8843f5d7-ce2e-4692-9c4b-769a9aea02e7","resolution":{"observed_at":"2026-08-05T11:13:43.721933Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-05T11:13:40.154807Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.154807Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:e891114dc7104c0b81ae10371531467ebcfbff2117f1d82756dfbb5448f68b31","observation_id":"bdaa8117-fb1c-485e-a3ce-86650dd3a4f8","resolution":{"observed_at":"2026-08-05T11:13:40.154807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7151.36871","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:45.314156Z","title":null,"venue":null,"work_id":"e8ced6c4-e2f6-442b-8d7e-100b26efcaaa","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.228252Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:5b2ce8a44e62138c7545dbf3830e6a49cd21b8bcc0047103f8d5c2b246aee8f2","observation_id":"ece6a3db-89c6-4676-9f37-2663a900ea50","resolution":{"observed_at":"2026-08-05T11:13:45.384526Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17428","last_updated":"2025-02-25T00:35:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-27T17:59:45Z","title":"NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17428","snapshot_observed_at":"2026-08-05T11:13:40.281400Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.281400Z"},"links":{"cited_paper":"/paper/2405.17428","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:9880804039bcd9bbcd7c12e25be8d9dfaaaa3202692b2f42edf9e8e719885300","observation_id":"5b7d3e77-1ac1-4ad7-8ca0-16295e03359c","resolution":{"observed_at":"2026-08-05T11:13:40.281400Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.01941","last_updated":"2022-03-09T09:11:16Z","snapshot_observed_at":"2026-08-06T03:47:01.974156Z","submitted_at":"2022-03-03T11:44:46Z","title":"Autoregressive Image Generation using Residual Quantization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.01941","snapshot_observed_at":"2026-08-05T11:13:40.338284Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.338284Z"},"links":{"cited_paper":"/paper/2203.01941","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:5fd6bf84e60c89ce29a462c1fd4b6edbb5eee24d0616c4a4be1fd960d7e39a5b","observation_id":"35fa464b-fc96-486b-af11-c02fa4a658d4","resolution":{"observed_at":"2026-08-05T11:13:40.338284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:40.394404Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.394404Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:7072e94a28bc8f45847a91a2de0612259e6cf80d4618b125f3e0b78dac96d81b","observation_id":"56a5a789-2cae-410f-9a70-580e4a1a2bdd","resolution":{"observed_at":"2026-08-05T11:13:40.394404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:46.625478Z","title":"Yu, and Kai Shu","venue":null,"work_id":"6b0f08b8-0648-4ec0-aa54-bb074e8d40da","year":2025},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.493724Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:244379631f3016967b21489132badae48ad252852a7dbcc16a9fc5e9e313a87c","observation_id":"190a9655-1e59-423f-8b8a-5fab15841555","resolution":{"observed_at":"2026-08-05T11:13:46.700314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:46.514006Z","title":null,"venue":null,"work_id":"4c4fc98a-5cf0-4db2-a9ba-b7cd2d4a0a3f","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.552417Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:4a694aeb91c7be208c27757328142f88fe9ce0005f384d60cdb7731a2aa496a6","observation_id":"686ad6b4-8c98-447d-8809-a26261f74934","resolution":{"observed_at":"2026-08-05T11:13:46.579910Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10149","last_updated":"2023-10-27T09:11:50Z","snapshot_observed_at":"2026-07-06T15:17:48.587665Z","submitted_at":"2023-04-20T08:16:07Z","title":"Is ChatGPT a Good Recommender? A Preliminary Study","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10149","snapshot_observed_at":"2026-08-05T11:13:40.611702Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.611702Z"},"links":{"cited_paper":"/paper/2304.10149","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:736e72ab801fe641332d36e7cd2f4ac2b6b97eea8730d6b49b5457f368709500","observation_id":"7253d440-d97d-40c9-842b-71d1202e88bc","resolution":{"observed_at":"2026-08-05T11:13:40.611702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:46.423963Z","title":null,"venue":null,"work_id":"ea6e477f-1691-4635-93a2-fda32c526795","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.662532Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:d426774cab7fb48ffaf7f7cddacefa9f08910987dcb93e5d07a8f30575e8ab4e","observation_id":"77909230-a02c-46fe-b3a1-d74aa5ade7ab","resolution":{"observed_at":"2026-08-05T11:13:46.451887Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:40.720073Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.720073Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:4451d13ae9848de6ea207640b251927bbc499e20e622bf7685439a1e78631cfa","observation_id":"43af1165-38ab-453d-868b-98f714114223","resolution":{"observed_at":"2026-08-05T11:13:40.720073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.21354","last_updated":"2025-08-29T06:40:52Z","snapshot_observed_at":"2026-08-05T14:24:20.177683Z","submitted_at":"2025-08-29T06:40:52Z","title":"Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark","version":1},"cited_work":{"arxiv_id":"2508.21354","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.21354","snapshot_observed_at":"2026-08-05T11:13:44.946863Z","title":"Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark","venue":"cs.IR","work_id":"c33c4b87-c06b-44ac-b0e8-e9d3449d226c","year":2025},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.751517Z"},"links":{"cited_paper":"/paper/2508.21354","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:66993e93228143a88550a192e86b7d955d43b87a787eede3b446adf68f636de6","observation_id":"7917368b-6bf0-4154-9537-afc4211d5087","resolution":{"observed_at":"2026-08-05T11:13:45.012281Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:46.316716Z","title":null,"venue":null,"work_id":"f04415f0-f1ff-4c25-8a79-f8d3d4004369","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.816525Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:d21d56bd31a64bf292ad7cc1254f4349fafd84d06e0b34e9b1d35e8826839f2d","observation_id":"42de15a4-064b-4e14-873b-526ec45c195c","resolution":{"observed_at":"2026-08-05T11:13:46.363415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"4678.35392","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:44.806514Z","title":null,"venue":null,"work_id":"977b9e2d-a567-4409-8cc5-2e83333ab89c","year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.822763Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:886a994b32af025919a4a16c94849b84c0f06a1722c6462d44ea4e76d2b8472b","observation_id":"308d5314-7d6e-4920-afa4-38664c15bd4f","resolution":{"observed_at":"2026-08-05T11:13:44.860878Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06196","last_updated":"2025-03-23T14:51:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-02-09T05:37:09Z","title":"Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06196","snapshot_observed_at":"2026-08-05T11:13:40.982200Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:40.982200Z"},"links":{"cited_paper":"/paper/2402.06196","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:817d074963017594c90c0b6b069a9ce34d58159dea180fe4a6f682e035137471","observation_id":"1dfc7831-ed65-41ea-9d62-2950c9ed3520","resolution":{"observed_at":"2026-08-05T11:13:40.982200Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:41.103401Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.103401Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:f4303f0bb311d375c61d68f93f4981865977d8f8916b5db172b2869cf877c0ff","observation_id":"7135d8aa-4974-471d-b88b-a5a04af874c8","resolution":{"observed_at":"2026-08-05T11:13:41.103401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15379","last_updated":"2023-09-27T03:15:52Z","snapshot_observed_at":"2026-07-06T16:24:10.053246Z","submitted_at":"2023-09-27T03:15:52Z","title":"A Content-Driven Micro-Video Recommendation Dataset at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15379","snapshot_observed_at":"2026-08-05T11:13:41.209810Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.209810Z"},"links":{"cited_paper":"/paper/2309.15379","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:b60bedb1f48d17b1f8814368cc63b5434d61732c73b66306a5fe8a21effbfc71","observation_id":"b1c03318-1006-489e-ab94-67474edbe1d8","resolution":{"observed_at":"2026-08-05T11:13:41.209810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.07997","last_updated":"2022-09-16T15:17:30Z","snapshot_observed_at":"2026-07-06T13:53:06.225789Z","submitted_at":"2022-09-16T15:17:30Z","title":"Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation","version":1},"cited_work":{"arxiv_id":"2209.07997","doi":"10.48550/arxiv.2209.07997","metadata_source":"pith","pith_arxiv_id":"2209.07997","snapshot_observed_at":"2026-08-05T12:16:14.913508Z","title":"Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation","venue":"cs.IR","work_id":"5c8f7029-ca83-4f19-b663-419fba1e8dd3","year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.285648Z"},"links":{"cited_paper":"/paper/2209.07997","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:a20459b0a7994e18e140bda2018b9eefccac117d42e1abd3fe95e0c0194a5bf8","observation_id":"6c4feef3-0e83-4f87-8f21-52783f3704ad","resolution":{"observed_at":"2026-08-05T11:13:43.597455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11114","last_updated":"2023-06-19T18:27:54Z","snapshot_observed_at":"2026-07-30T19:33:13.544855Z","submitted_at":"2023-06-19T18:27:54Z","title":"Generative Sequential Recommendation with GPTRec","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11114","snapshot_observed_at":"2026-08-05T11:13:41.389484Z","title":"Petrov and Craig Macdonald","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.389484Z"},"links":{"cited_paper":"/paper/2306.11114","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:cdcad4175016cc7ba1e6701df19cc04690ead12f1fd00ee373a2237e7c42231a","observation_id":"562e1eb3-84f7-4d75-ba2f-ae0dd37d1de7","resolution":{"observed_at":"2026-08-05T11:13:41.389484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:46.212021Z","title":"Tran, Jonah Samost, Maciej Kula, Ed H","venue":null,"work_id":"f81568e1-1542-4dab-8c37-5c549c3c0e38","year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.495310Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:9731fc8463c0d9200c4950cd92c99f5e883908496a64507f9e6d0359a3a362eb","observation_id":"8ca611c8-ef34-400f-aa8d-6c436ff14dde","resolution":{"observed_at":"2026-08-05T11:13:46.258741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-02T11:57:18.735747Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-05T11:13:41.612630Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.612630Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:64af0c654a122369fa506306e4f2f17f787c25f8b1756602c0435b2ba11916ff","observation_id":"dcc7ed9b-a3c0-41c9-b61f-5ef61bb9f7ff","resolution":{"observed_at":"2026-08-05T11:13:41.612630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00937","last_updated":"2018-05-30T14:58:27Z","snapshot_observed_at":"2026-08-01T14:58:21.912263Z","submitted_at":"2017-11-02T21:14:44Z","title":"Neural Discrete Representation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.00937","snapshot_observed_at":"2026-08-05T11:13:41.699414Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.699414Z"},"links":{"cited_paper":"/paper/1711.00937","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:b0402db73d4df1cf53c838a14540171374a147e1e2f67092cb782764bffaddcc","observation_id":"3b485bbf-9af9-426c-a8f7-efe6225c7c86","resolution":{"observed_at":"2026-08-05T11:13:41.699414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:41.819877Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.819877Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:a90d85a27fbb690f311930e8c3adcaf5c8ca3a4654d4b2a4865c9edda188c65f","observation_id":"8078ea6e-ac9b-451f-826b-a9b61e289f7c","resolution":{"observed_at":"2026-08-05T11:13:41.819877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.29973","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:44.601377Z","title":null,"venue":null,"work_id":"b8e76af6-72e7-4ae3-a0e4-6e80ef065387","year":2021},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:41.934942Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:2bd9a272433225cc36ec19d8368b6cb3caf684ca1582906b9cfaabac91970019","observation_id":"1582dbbd-5db2-4866-b408-390aa0785949","resolution":{"observed_at":"2026-08-05T11:13:44.657041Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:46.090515Z","title":null,"venue":null,"work_id":"0a2e9c2d-c765-4be7-ac11-e707ec955882","year":2021},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.054716Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:8a2a2b2dcef7f393db10f781e4b6397f0c300dd7e4a0b191e209d65ac5408f2e","observation_id":"16474cf0-5067-4286-84b2-f962386d4ae0","resolution":{"observed_at":"2026-08-05T11:13:46.136823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:45.980001Z","title":null,"venue":null,"work_id":"97ec14bc-bf33-40e2-ba6f-a2eeb0038e08","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.198867Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:aa293b0f7b0327d1cdc2f05b56e0491764fa5af41be751017db38a3d4781daf9","observation_id":"226c75ba-2684-4cf1-a301-280367c0d14f","resolution":{"observed_at":"2026-08-05T11:13:46.051183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"7673.36796","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:44.438755Z","title":null,"venue":null,"work_id":"b322fcf8-1b11-48a4-92a3-c6d0220c4585","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.282506Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:34f4120aa03f9e56034d7fcfb19185ab3c5a0130960f586169e82f43416938b5","observation_id":"422279d4-5768-4fa0-9468-10f061a2c85f","resolution":{"observed_at":"2026-08-05T11:13:44.487421Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:42.371665Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.371665Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:ab1e077d32f7ef348da7a49d584e540acf3603fbb9c4b96bab997d7e79de8889","observation_id":"ae1323d1-c127-486e-8a31-7a1f05fa5dfb","resolution":{"observed_at":"2026-08-05T11:13:42.371665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:45.869534Z","title":null,"venue":null,"work_id":"81f5f5a7-ab9d-472f-aef3-f7eb22ab0895","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.526204Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:cefc96d7dee3096e45e20a2cbd6ec80419c54980130c409bd95a0c4a02ac4b52","observation_id":"a716ee6b-ad07-458a-9dc6-2938f606c60d","resolution":{"observed_at":"2026-08-05T11:13:45.930823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-05T11:13:42.637744Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.637744Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:c86875195990ef020f6f8300cec6fd1935110074b43b75ea6432415780849b22","observation_id":"00c72e5f-198b-419e-9668-11a9bd30a43b","resolution":{"observed_at":"2026-08-05T11:13:42.637744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01068","last_updated":"2022-06-21T17:04:40Z","snapshot_observed_at":"2026-08-06T03:13:37.403059Z","submitted_at":"2022-05-02T17:49:50Z","title":"OPT: Open Pre-trained Transformer Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01068","snapshot_observed_at":"2026-08-05T11:13:42.709607Z","title":"Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, and Luke Zettlemoyer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.709607Z"},"links":{"cited_paper":"/paper/2205.01068","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:58a29daff9d4a9c3e214eb31a3e8d53fcd893c0e76f3d18c7a74fdb69ff4e48b","observation_id":"9a863835-743e-4fc1-a5e4-1602f2ce7492","resolution":{"observed_at":"2026-08-05T11:13:42.709607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08675","last_updated":"2024-04-06T12:38:54Z","snapshot_observed_at":"2026-07-06T17:59:29.408432Z","submitted_at":"2024-04-06T12:38:54Z","title":"RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm","version":1},"cited_work":{"arxiv_id":"2404.08675","doi":"10.48550/arxiv.2404.08675","metadata_source":"pith","pith_arxiv_id":"2404.08675","snapshot_observed_at":"2026-08-05T12:16:14.913508Z","title":"RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm","venue":"cs.IR","work_id":"d6974fd4-f58b-495a-99a5-e2f4e373c601","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.757808Z"},"links":{"cited_paper":"/paper/2404.08675","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:1a83c9b1a5632be98e768a4f3a1e64a2dd1b533f631e3926571a933dfb062a79","observation_id":"664de26a-d0be-4172-9993-c4c5ddb9dc66","resolution":{"observed_at":"2026-08-05T11:13:43.409425Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:42.845363Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.845363Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:8651b6f3cd1f614c703ed8b40303bb610ce95e4305c74449430f69a7eda0c6a9","observation_id":"2f26d60b-8dea-41f8-bd6a-c84c43ad65ca","resolution":{"observed_at":"2026-08-05T11:13:42.845363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:42.920323Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.920323Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:b1411d73d55206f495ebd927311f1b967a328da316f3b1c73711f5e2686e9be5","observation_id":"37114512-52eb-4685-8bdf-38ce2293e0b5","resolution":{"observed_at":"2026-08-05T11:13:42.920323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.02157","last_updated":"2023-07-05T09:58:08Z","snapshot_observed_at":"2026-08-05T17:03:32.851608Z","submitted_at":"2023-07-05T09:58:08Z","title":"Generative Job Recommendations with Large Language Model","version":1},"cited_work":{"arxiv_id":"2307.02157","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.02157","snapshot_observed_at":"2026-08-05T11:13:44.086811Z","title":"Generative Job Recommendations with Large Language Model","venue":"cs.IR","work_id":"951c079b-3767-4e55-b351-1c34575a26d7","year":2023},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:42.955653Z"},"links":{"cited_paper":"/paper/2307.02157","citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:2bcaba3922f444fb10f4aad3c1b76b8edae128623fc2848dbaa3f5fb8f87b7c1","observation_id":"9161f236-129c-41fc-8e7b-66f654e5b77b","resolution":{"observed_at":"2026-08-05T11:13:44.141288Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:45.748738Z","title":null,"venue":null,"work_id":"970e3918-a802-48a0-aee5-4c2f9f913604","year":2022},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:43.017719Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:074e33761f1eef8bf84d363eecffce42714f8d2dfbd8790bdd349dbfda536cb4","observation_id":"45019a00-a7de-4e17-bc1d-8b581181b179","resolution":{"observed_at":"2026-08-05T11:13:45.792210Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T11:13:45.628055Z","title":null,"venue":null,"work_id":"f2494495-1566-4c5b-a11d-b309f1711e00","year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:43.093149Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:59ce45a0d431c88857d895ae44eee72afd136d678183afaeb2b24ba45dd83985","observation_id":"9aadcf73-99ca-4c8e-9719-0e7670e2b4ce","resolution":{"observed_at":"2026-08-05T11:13:45.668438Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:43.164369Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:43.164369Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:45e7ec3599d8e1fad5be6b4f952aa5c4bb8302e0e86517afd6abb572a4f69833","observation_id":"56e2fcfb-10a0-4a7e-b8fc-cf4ebe9e6c48","resolution":{"observed_at":"2026-08-05T11:13:43.164369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:43.213508Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:43.213508Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:4a4cd5a708cb846202a83ee92513a6efca130759ae387c929851de26c43c7990","observation_id":"270b8669-7cee-4954-9e00-08a311830545","resolution":{"observed_at":"2026-08-05T11:13:43.213508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:13:43.244486Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-05T11:13:43.244486Z"},"links":{"citing_paper":"/paper/2509.03131"},"observation_digest":"sha256:9b0df645c03902577b5f2c0f688c6068ee3f4c44f32647a451a7c72f1a4a03b8","observation_id":"2530858d-4e3b-498d-88d1-1d38e0c3b27e","resolution":{"observed_at":"2026-08-05T11:13:43.244486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.03131","last_updated":"2025-09-03T08:33:43Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-05T11:13:31.171618Z","submitted_at":"2025-09-03T08:33:43Z","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":4,"parse_uncertain":0,"unresolved":43,"verified_exact":6,"verified_fuzzy":4},"total_outbound_references":57},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2509.03131."}