{"as_of":"2026-08-05T20:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7d10bf4d069c87a6d1604a253a13202eb94eed2990d249e9e5c81c446a47abc","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T21:04:49.458441Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:59:19.123760Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.10468","snapshot_observed_at":"2026-08-01T14:59:19.123760Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18600","last_updated":"2026-07-21T00:27:30Z","snapshot_observed_at":"2026-08-01T14:59:14.842313Z","submitted_at":"2026-07-21T00:27:30Z","title":"Topology-Aware Tokenization for Generative Recommendation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T14:59:19.123760Z"},"links":{"cited_paper":"/paper/2509.10468","citing_paper":"/paper/2607.18600"},"observation_digest":"sha256:2c3c3dbd0275255f60f1bcab52311e3849d9e5dfb61ddf9f021c6cdcb6d6b3bc","observation_id":"5b721d52-8151-4e09-a409-c7e1ae1a850f","resolution":{"observed_at":"2026-08-01T14:59:19.123760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.10468/citation-record","integrity":"/paper/2509.10468/integrity","json":"/paper/2509.10468/citation-record.json","paper":"/paper/2509.10468"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T00:44:24.768682Z","title":"\" * write output.state after.block = add.period write newline","venue":null,"work_id":"00eebc59-e300-4d9d-86e2-f9bc6c1bf336","year":null},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:e46b0126ab5d36902e1527b98868847dcda785b30b89379ca269916374526a47","observation_id":"f0d2213c-026e-4c1e-b41f-7b3764e10916","resolution":{"observed_at":"2026-05-18T21:06:51.643759Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-08T00:44:24.772159Z","title":"write newline","venue":null,"work_id":"3b731e2d-843c-43f2-b9b6-7ffd356be7ad","year":null},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:449e1719515e53c2ad85d32545b317eae88fe5fa88d7922f02662553e9c42539","observation_id":"8a022ebc-d82f-4863-9d01-1a19ab4dfed1","resolution":{"observed_at":"2026-05-18T21:06:51.658356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"8306a3bc-ccad-416f-913d-548a69c59459","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:32ecee9ec00ab54f05dec5761fc05f25864d864994475f4567064659fec0589e","observation_id":"e8998df0-77e3-4564-b3bc-662f2a1e74c8","resolution":{"observed_at":"2026-05-18T21:06:51.650673Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10837","last_updated":"2023-08-21T16:39:11Z","snapshot_observed_at":"2026-07-06T16:08:37.443746Z","submitted_at":"2023-08-21T16:39:11Z","title":"Leveraging Large Language Models for Pre-trained Recommender Systems","version":1},"cited_work":{"arxiv_id":"2308.10837","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.10837","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Leveraging large language models for pre-trained recommender systems","venue":null,"work_id":"5da9d61d-5dcb-431c-a15b-76bc87378d2f","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2308.10837","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:1d0d913518688b644c86b67687e6a2f7f22f6be296d851faf7185ef312781028","observation_id":"6cfdaa3c-145e-4f2d-9bd8-baaf783018aa","resolution":{"observed_at":"2026-05-18T21:06:50.725426Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"98a1587a-d78e-4be9-ba2a-4576772f9fc6","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:4c965f69bf56a7ea0e42b4228760d32b37e9ac0a195640d99540ce76b1edb58a","observation_id":"f4f85419-2c3e-4e18-b59a-e17d6fd324f8","resolution":{"observed_at":"2026-05-18T21:06:51.654028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"32f2a2ea-c736-45dd-be55-4bbb730aa290","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:8f46ca3cf08d648ca7f5ba700411ebeb9422833ccf883827b84a7cabc18d72f8","observation_id":"b23bff89-c464-4ab6-aa57-038b74e242eb","resolution":{"observed_at":"2026-05-18T21:06:51.661808Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18965","last_updated":"2025-02-26T09:25:10Z","snapshot_observed_at":"2026-07-06T20:42:55.911327Z","submitted_at":"2025-02-26T09:25:10Z","title":"OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment","version":1},"cited_work":{"arxiv_id":"2502.18965","doi":"10.48550/arxiv.2502.18965","metadata_source":"pith","pith_arxiv_id":"2502.18965","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment","venue":"cs.IR","work_id":"d1a07d92-e045-4af2-a79f-c7b0112cf824","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2502.18965","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:1a802e874d27ade918420fbd0dbefe13226dcd266d72910ca67ad466bba798b5","observation_id":"2b1e1d0c-bfa2-4b96-889d-45bc5f94461d","resolution":{"observed_at":"2026-05-18T21:06:50.720273Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T20:53:23.201732+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T20:53:23.201732+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"73d50083-4f4a-47a1-a9d4-f27b62a37512","year":2022},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:3eff2251286330599772cc1335cd253e73c549d1f59a958cda8839488f846767","observation_id":"b301fe10-6b6d-437b-a8af-78bb1701e149","resolution":{"observed_at":"2026-05-18T21:06:51.677971Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"83b9541a-8c3f-4420-8515-53cb3b1682e2","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:2f970157938546db6d4bb7c127c54b302a0ed1450644aad78556c62c38e8483c","observation_id":"e449de9c-8dc2-4f25-85d0-371110f8e732","resolution":{"observed_at":"2026-05-18T21:06:51.639576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2403.03952","doi":"10.1007/978-3-031-56060-6","metadata_source":"pith","pith_arxiv_id":"2403.03952","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders","venue":"cs.IR","work_id":"357c2b19-af52-48bc-a55a-e34d2d84b8ff","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2403.03952","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:1f61c9ad4c3c48ead2a336f7e8677d41781ae6c2278df8d460ca85e9ca53547e","observation_id":"6d8dbbb7-15ab-45fa-866c-bcaca7b33848","resolution":{"observed_at":"2026-05-18T21:06:50.730685Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"01e2a90b-dc40-4c94-a43a-ca23da4f1e2f","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:696fe6b447c5f902635bc15556194324561acd46b8f5518f736af374f898f96b","observation_id":"2b861506-f210-4ed6-8a7b-958f8977af3d","resolution":{"observed_at":"2026-05-18T21:06:51.632223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"5d29a74a-311b-43b4-9943-1129f514af12","year":2017},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:ea9b47d7e2a9466f3d9570795066f9bd2985018bf3112f7c897d95341867cbd4","observation_id":"0c01a468-cb1d-4b65-940e-7e2dd6b10122","resolution":{"observed_at":"2026-05-18T21:06:51.635554Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"78e78879-c1e8-4573-954d-4114ad149e22","year":2018},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:d8948d3ccee0d59eda98eb40d39c1551b9913f5f51e041d175fd42cc9db2f6d8","observation_id":"8db1854f-3946-4825-9a87-5a8ee91af837","resolution":{"observed_at":"2026-05-18T21:06:51.668102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"397a55be-adc0-482e-9c7f-851b5d8fad0c","year":2022},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:a769c7af5452675469019b9ad0c9279c67076a4b489e4db69e747e4df7d9ad1a","observation_id":"415a53c7-1338-442d-a86c-dd453894c798","resolution":{"observed_at":"2026-05-18T21:06:51.665036Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"67db0bad-24f9-4a51-9c92-cd3b9caa389d","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:1c0a0f6dd779d07d0854590183e8a56aff16da83f7791984fcc4f8728161a20a","observation_id":"0baacd5c-5d83-4502-a855-b68bc2336c4c","resolution":{"observed_at":"2026-05-18T21:06:51.647183Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"4cba1eba-1da4-46d2-bdd5-19e3877b7a1a","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:f0deb7eb57ea0294e7b901467bc1fc83202d8c715b56c07a1c206329664ebd03","observation_id":"663929f5-85bc-450c-9297-18f925772466","resolution":{"observed_at":"2026-05-18T21:06:51.674845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"a7039d79-5e11-46bc-a155-a63a895acacc","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:b4d7aecb8a5fc566eebb1a989772a7609075e459e082219c2da7f83540da8f3d","observation_id":"7791a41b-13a9-47d2-a868-ce9bdade4bcd","resolution":{"observed_at":"2026-05-18T21:06:51.671332Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.05546","last_updated":"2025-06-04T09:22:33Z","snapshot_observed_at":"2026-08-05T16:00:27.722143Z","submitted_at":"2024-09-09T12:11:53Z","title":"Generative Recommender with End-to-End Learnable Item Tokenization","version":3},"cited_work":{"arxiv_id":"2409.05546","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.05546","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2409.05546(2024)","venue":null,"work_id":"ec85a5ef-40dc-4036-8efb-77e231b248b2","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2409.05546","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:674f6e2c2eb51910b5cc7edad9e74e294a95df8cfdcdf9331969c5935e2392a0","observation_id":"59ea6baa-8af3-4344-a209-4b878133b433","resolution":{"observed_at":"2026-05-18T21:06:50.735611Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"5401e3f1-276e-4e00-81b3-8ea8d6e82e76","year":2020},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:bff057deac998560765c3c651cd858130fecd4583fc9aeb18b6e18b687706159","observation_id":"5296c2eb-544c-401d-ada3-f7405c9a6800","resolution":{"observed_at":"2026-05-18T21:06:51.606947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"Q.; Samost, J.; Kula, M.; Chi, E","venue":null,"work_id":"89528b1a-20c7-41b4-a566-48500141f71c","year":2023},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:e3837e02d1aba642ec66d8238a7b8c7426f4888c333cecdb9c3640286c9d7b7d","observation_id":"605a4ccd-d5aa-4ff0-9975-0a175e9bbabf","resolution":{"observed_at":"2026-05-18T21:06:51.610507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"6a8cc83a-2ed8-4431-82d3-1904070afa9a","year":2019},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:3526a3c898bd0da92cb30c6374d9fd7de081765014f0d214ee3694c764f9d4d4","observation_id":"5e848f14-ec95-4a93-80df-abf189060cad","resolution":{"observed_at":"2026-05-18T21:06:51.603113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"28d74eed-6a67-45e3-9881-b5ebf570b6f9","year":2018},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:710c83ac9a836afa1649598bccefb37cbe219ff65b3061e0710a9fb5f0bbf837","observation_id":"e6c6a409-f666-4148-9e8e-6b85a39fd930","resolution":{"observed_at":"2026-05-18T21:06:51.613749Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"301c48be-97dd-40ef-a26b-afc53496420d","year":2017},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:7db8109b19383b47456b0232cfec6ff6d8e31617bf779999b552f83e2fd85f8a","observation_id":"8926572f-cd7f-4f9a-8dfd-ada049ac0168","resolution":{"observed_at":"2026-05-18T21:06:51.617010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"b6740583-903f-4837-a445-b62cfaa926aa","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:43cdb4c92eeb48fcc94a5ea1922427cfa01a765e4065e46c9623a56b7979c080","observation_id":"1a94c56f-1eaf-406c-8dff-d6816efbb632","resolution":{"observed_at":"2026-05-18T21:06:51.596374Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"c2cedd66-c811-42ab-9072-7eb3961bfaf3","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:b1282e9e184deaa6abebd749514d8ac3d26d5bd2a059efb87e29c6806042c099","observation_id":"f3a9bdbf-5773-4217-af9a-2b51205dd249","resolution":{"observed_at":"2026-05-18T21:06:51.599777Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"4347b6a6-856c-4b47-86e1-03283b729eb9","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:a7b5ac19edc355a68e66bf4258a098a473d9da8f80fd77a14e785488830bb5de","observation_id":"dad1ac97-b604-450a-93dc-ede73a89bbc0","resolution":{"observed_at":"2026-05-18T21:06:51.590305Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"3ec0c67f-0214-42b9-a68c-cee5511a4538","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:d11c4f3c9d18408442ea2dae69ac3ec4d235d1f768a74916f4823031ab4a39ca","observation_id":"07467f69-726e-41c0-8422-fb77e8b40e2b","resolution":{"observed_at":"2026-05-18T21:06:51.628615Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"a311cc7b-a7a3-40d2-9960-f21501cb977b","year":2025},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:dde3f42bcd5225cf5e22fc84002cde9fe8db6c5969ddd1030924c464fe15976e","observation_id":"bd170798-a96b-445e-b895-b28b168395ea","resolution":{"observed_at":"2026-05-18T21:06:51.593200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"90320604-d1d0-4332-bedd-86c1c74ecd65","year":2021},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:0e7f5c1e908f3d4f631fc2fd279ef39ca3cc582cd95674ead04741a0b70464c9","observation_id":"4fc74872-1502-44df-aa2d-bbe9769619be","resolution":{"observed_at":"2026-05-18T21:06:51.624895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"X.; Chen, M.; and Wen, J.-R","venue":null,"work_id":"d083b8d5-db55-4e73-8098-0eb278e7249d","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:40d5c79004734ae3b30772c25f41e8da7c8f0f589aadd3c8a8d1851531598722","observation_id":"59d58522-e848-4328-bbf6-7903099400c4","resolution":{"observed_at":"2026-05-18T21:06:51.620471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"X.; Zhu, Y.; Wang, S.; Zhang, F.; Wang, Z.; and Wen, J.-R","venue":null,"work_id":"c88ec342-6cad-4282-9fb0-e35b73f8c72e","year":2020},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:4c7b2b3b9f437c93b04e72df7308e6428f3241f82db946ff537109a9f33f239b","observation_id":"ee059dde-6dea-4679-9ded-0ee8c78bf8de","resolution":{"observed_at":"2026-05-18T21:06:51.587266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14774","last_updated":"2024-09-07T16:11:36Z","snapshot_observed_at":"2026-07-06T18:04:08.777507Z","submitted_at":"2024-04-23T06:29:48Z","title":"CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation","version":2},"cited_work":{"arxiv_id":"2404.14774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.14774","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0c984fde-4862-40c9-a630-49fcc27833d6","year":2024},"citing_paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-05-18T21:04:49.458441Z"},"links":{"cited_paper":"/paper/2404.14774","citing_paper":"/paper/2509.10468"},"observation_digest":"sha256:ee8793690f1536aa6d9ebdc95bde6f31f0c9cb445e1088944fb322aa9f7c25a4","observation_id":"cb231827-7eee-435d-8f9d-8459a16ba2ff","resolution":{"observed_at":"2026-05-18T21:06:50.715567Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.10468","last_updated":"2026-05-01T22:20:56Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T22:29:28.746730Z","submitted_at":"2025-08-22T18:50:38Z","title":"Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":5,"verified_fuzzy":5},"total_outbound_references":32},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2509.10468."}