{"as_of":"2026-08-23T08:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8480de2ed074cbe4174b2c92790f3d86c08afbff3c3d3b9a8837e72df58d1984","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T03:29:25.238486Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2607.27682/citation-record","integrity":"/paper/2607.27682/integrity","json":"/paper/2607.27682/citation-record.json","paper":"/paper/2607.27682"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T03:29:25.139793Z","title":"Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.139793Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:7f12e9b86847e63e9fa4fbba6845b37e1c1bcf7d49f1afb994c2dfe79fa399eb","observation_id":"6b922980-31a8-4a1e-ae6f-3aadbe4ed71e","resolution":{"observed_at":"2026-08-01T03:29:25.139793Z","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":"2026-08-01T03:29:25.143929Z","title":"Classification Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.143929Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:f3c3b5b462964989b3ceff8b63666965dcec41d8b8e39f560eccfc97aee32654","observation_id":"4770f1d2-23fe-4450-83ad-ba3ef2e9676e","resolution":{"observed_at":"2026-08-01T03:29:25.143929Z","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":"2026-08-01T03:29:25.146507Z","title":", title =","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.146507Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:3fe15ad837dd9113c20906f1cbf01fe4b2b26bda2d3e50823039b9c7b17230d2","observation_id":"64ceb8e2-289c-4721-914f-fbb5c288a1e3","resolution":{"observed_at":"2026-08-01T03:29:25.146507Z","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":"2026-08-01T03:29:25.149073Z","title":"New Ways to Make Microcircuits Smaller---Duplicate Entry","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.149073Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:31846e28739db400f5e864558bd0f890f2ad7dd1c350751e8e50ae2a0efe9548","observation_id":"6eb68921-5bc1-452d-9800-2b52c86f3a1a","resolution":{"observed_at":"2026-08-01T03:29:25.149073Z","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":"2026-08-01T03:29:25.151722Z","title":"Clancey and Glenn Rennels , abstract =","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.151722Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:04f6ae0a4850bec844dcb5475bff7d9df2fedfd1b1d6d5fa98b30276b80eecdd","observation_id":"aebe08b4-07bb-4ad2-a8c5-6bfba2ee7cee","resolution":{"observed_at":"2026-08-01T03:29:25.151722Z","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":"2026-08-01T03:29:25.154440Z","title":"and Rennels, Glenn R","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.154440Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:1c35080cce6a08b0aa7f7520ca367362b95a0e74d2cb76d7f7ae3b1f4394fabb","observation_id":"5d1fbee5-e709-4b4c-bac7-19ad1f103dd0","resolution":{"observed_at":"2026-08-01T03:29:25.154440Z","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":"2026-08-01T03:29:25.157026Z","title":"Poligon: A System for Parallel Problem Solving","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.157026Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:00cdbddf7dc5e91309a1dbb6d132dd4f059cd273643f093f8ef6735088a9794a","observation_id":"375eb4b2-bc24-4a0c-8564-3bc2708473bd","resolution":{"observed_at":"2026-08-01T03:29:25.157026Z","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":"2026-08-01T03:29:25.159502Z","title":"Transfer of Rule-Based Expertise through a Tutorial Dialogue","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.159502Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:b5c24150e52e1ce794086a535e75f250aae25d7452138697ddfbd1989563b5a5","observation_id":"a13fcbe7-5268-4501-b379-651c72fd5ec4","resolution":{"observed_at":"2026-08-01T03:29:25.159502Z","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":"2026-08-01T03:29:25.162239Z","title":"The Engineering of Qualitative Models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.162239Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:04cf7014ce32f226e3874ea1e7d5bea4875825d02fa1f0d6a4e80dc918272260","observation_id":"7fca17a8-eb5a-469d-8d33-2c2008ad6764","resolution":{"observed_at":"2026-08-01T03:29:25.162239Z","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":"2026-08-01T03:29:25.164827Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.164827Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:cabc2c3270831456ce9a7bd7e1e1afaa74b07011bec6a2c98f4fa1939b8a3d95","observation_id":"416f2889-2d08-444b-817c-ffc3f4c87955","resolution":{"observed_at":"2026-08-01T03:29:25.164827Z","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":"2026-08-01T03:29:25.167602Z","title":"Pluto: The 'Other' Red Planet","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.167602Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:3dffed3c5984446f48985c2d2cd0ac55ecabf08f9a2065e865a32c03cf97cbae","observation_id":"70b6485b-787c-4ebb-9769-374448a5a6be","resolution":{"observed_at":"2026-08-01T03:29:25.167602Z","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":"2026-08-01T03:29:25.169978Z","title":"and Vu, Trung and Heldt, Lukasz and Hong, Lichan and Tay, Yi and Tran, Vinh Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.169978Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:8fe2b5fc9c8bfcd6dc30cf31c0e45def215c763e716e7668edfc43280ff29745","observation_id":"6ba41bef-4595-49ef-81f7-e22f83ac5032","resolution":{"observed_at":"2026-08-01T03:29:25.169978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18965","last_updated":"2025-02-26T09:25:10Z","snapshot_observed_at":"2026-08-11T02:18:35.186995Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18965","snapshot_observed_at":"2026-08-01T03:29:25.172407Z","title":"OneRec : Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.172407Z"},"links":{"cited_paper":"/paper/2502.18965","citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:10c9fadc6dc03fb1d4eb43b067d7ffe406583f70bde9257cd4662b28027aa2ca","observation_id":"fe9f0df2-2c7f-409c-9bc2-c82b55daa41c","resolution":{"observed_at":"2026-08-01T03:29:25.172407Z","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":"2026-08-01T03:29:25.175268Z","title":"Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.175268Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:848b4c8dd14068d9ee9f2cb75576a97f5d1feaede92150fd7a72badfa13572b8","observation_id":"2e118dcd-cd36-4835-9aef-4dd32acecd1f","resolution":{"observed_at":"2026-08-01T03:29:25.175268Z","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":"2026-08-01T03:29:25.177702Z","title":"Learnable Item Tokenization for Generative Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.177702Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:d915c34f9af055f56ab4e771dc16d086d052e4626e9787251ce294d6c468fc64","observation_id":"a2db75e5-c2f1-4137-af07-dae37b0d8319","resolution":{"observed_at":"2026-08-01T03:29:25.177702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.15576","last_updated":"2025-06-22T14:01:07Z","snapshot_observed_at":"2026-08-16T14:27:28.440285Z","submitted_at":"2025-06-18T15:53:47Z","title":"DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.15576","snapshot_observed_at":"2026-08-01T03:29:25.180188Z","title":"DiscRec : Disentangled Semantic-Collaborative Modeling for Generative Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.180188Z"},"links":{"cited_paper":"/paper/2506.15576","citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:f4df0fd433c3e35dc5823194fa80a454585415fd2189ba2b3d72b0e04a3f3019","observation_id":"f2c7c44b-fb2c-441c-83b2-3e177cde1c82","resolution":{"observed_at":"2026-08-01T03:29:25.180188Z","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":"2026-08-01T03:29:25.182811Z","title":"Implicit Reasoning for Large Language Model-based Generative Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.182811Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:b4f9f2cc2b9b7760d0c6f11ec111e9891a7975382b8efccb80c7b7e80a1beb5a","observation_id":"04e71cd1-574b-4ec5-bdd5-a8b8dc2c2ec1","resolution":{"observed_at":"2026-08-01T03:29:25.182811Z","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":"2026-08-01T03:29:25.185185Z","title":"OneRec-Think : In-Text Reasoning for Generative Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.185185Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:d9eb62f280c05c1d2391bfe0ac7a347c2de6183b3e10b36c5a0529ecdd3710a0","observation_id":"b85177cf-ce51-4894-8f9f-1e70167f836a","resolution":{"observed_at":"2026-08-01T03:29:25.185185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.06260","last_updated":"2026-06-04T15:04:34Z","snapshot_observed_at":"2026-08-15T09:30:56.734840Z","submitted_at":"2026-06-04T15:04:34Z","title":"OneReason Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2606.06260","snapshot_observed_at":"2026-08-01T03:29:25.187488Z","title":"OneReason Technical Report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.187488Z"},"links":{"cited_paper":"/paper/2606.06260","citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:461b4bd721be07587a7e90d9a35c157599d8f020e104bd8bb9acc16bc386f03a","observation_id":"a6cbe8d5-ed00-4457-8b81-412a132e39d7","resolution":{"observed_at":"2026-08-01T03:29:25.187488Z","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":"2026-08-01T03:29:25.190450Z","title":"and Blei, David M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.190450Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:100827c2f6f59efb0b409cf7beb5443e94bd0c92483121304eaf2d4ce35adf43","observation_id":"c810fb17-a28e-40f7-82c7-1c5e159dd967","resolution":{"observed_at":"2026-08-01T03:29:25.190450Z","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":"2026-08-01T03:29:25.192767Z","title":"Rethinking LLM -Based Recommendations: A Personalized Query-Driven Parallel Integration","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.192767Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:2a670a8e3eb1eba11105c62e336ee369ddc642c44f99c6619ab6f22d7808fd96","observation_id":"ef510294-a4ad-425e-821b-cdfcb4a4366f","resolution":{"observed_at":"2026-08-01T03:29:25.192767Z","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":"2026-08-01T03:29:25.195380Z","title":"Language Representations Can be What Recommenders Need: Findings and Potentials","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.195380Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:debfd03ac67cfad096cfca2d0940cd51ab025050348b5861bb956e31652647dd","observation_id":"b721fd25-5ec3-47c4-be3d-66c872a8ffd8","resolution":{"observed_at":"2026-08-01T03:29:25.195380Z","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":"2026-08-01T03:29:25.197771Z","title":"Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.197771Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:123afe607b7f95eb48e07ab3406f614f808002aeaef7087937e284d2c9ae2441","observation_id":"db29bbaf-9aea-4876-b5c6-d2087efade08","resolution":{"observed_at":"2026-08-01T03:29:25.197771Z","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":"2026-08-01T03:29:25.200198Z","title":"OpenOneRec Technical Report","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.200198Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:7e4c111ef0d63f150b1c88af8d7c7aa23822c5a629b50e65144db20cfe9d04ae","observation_id":"addc3de6-ea68-4c0e-bd22-65d4128588e1","resolution":{"observed_at":"2026-08-01T03:29:25.200198Z","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":"2026-08-01T03:29:25.202527Z","title":"Self-Attentive Sequential Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.202527Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:64041f79f4468541c99a4071a9db505705db15590b8f934b63f90b4631383f78","observation_id":"b352e016-957e-4624-82ce-d5ce4b7ac380","resolution":{"observed_at":"2026-08-01T03:29:25.202527Z","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":"2026-08-01T03:29:25.204996Z","title":"BERT4Rec : Sequential Recommendation with Bidirectional Encoder Representations from Transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.204996Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:2d4f55ec6262a6e8dcd26166e34ca08c8d934503f5d51e8ea3f47897bf4bef31","observation_id":"ad50f548-c00c-4892-b917-c1aff751f4bb","resolution":{"observed_at":"2026-08-01T03:29:25.204996Z","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":"2026-08-01T03:29:25.207351Z","title":"Session-based Recommendations with Recurrent Neural Networks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.207351Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:c333228cca01053b571053c0c06a76a226caf335e1cfdd409b2dff90d30a16c5","observation_id":"ea0d4dce-0075-40ee-99d2-b87f5306766d","resolution":{"observed_at":"2026-08-01T03:29:25.207351Z","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":"2026-08-01T03:29:25.209805Z","title":"BPR : Bayesian Personalized Ranking from Implicit Feedback","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.209805Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:f6b4db9803e2a8481a291fc8c4cbda65f403da95ebcd339e5cd98db558bbb0ff","observation_id":"ef6a04a9-b3b3-4bc3-8b07-7f2698087f72","resolution":{"observed_at":"2026-08-01T03:29:25.209805Z","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":"2026-08-01T03:29:25.212177Z","title":"and Volinsky, Chris","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.212177Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:67b370487e20a07d2d288232f8e953ddb9da699b74615756fe3bc85f0778dce9","observation_id":"cbf41264-0dc9-4efc-908a-4713415cb1db","resolution":{"observed_at":"2026-08-01T03:29:25.212177Z","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":"2026-08-01T03:29:25.214483Z","title":"Neural Collaborative Filtering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.214483Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:10504b805cc867e567ea94452a5cb45f99cdebfca5b6f1f877da50684a3d8af2","observation_id":"6f8e7f92-8bd7-48a3-a62e-9869e9d6fcb2","resolution":{"observed_at":"2026-08-01T03:29:25.214483Z","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":"2026-08-01T03:29:25.217060Z","title":"Recommendation as Language Processing ( RLP ): A Unified Pretrain, Personalized Prompt & Predict Paradigm ( P5 )","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.217060Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:1d098e30a0784eaf4cf844581d2f91447b72a2d38728e982b654acb8c1f60892","observation_id":"0ed96577-139a-45a5-8c12-77c213c3167c","resolution":{"observed_at":"2026-08-01T03:29:25.217060Z","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":"2026-08-01T03:29:25.219616Z","title":"TALLRec : An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.219616Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:8968a8fbf7f5cd12b522b18bf50dcb6a7d4569430e53ac8a4a3200598007e17b","observation_id":"4347948e-4579-4c47-876a-4c882ed6ab93","resolution":{"observed_at":"2026-08-01T03:29:25.219616Z","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":"2026-08-01T03:29:25.221967Z","title":"LLaRA : Large Language-Recommendation Assistant","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.221967Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:3f6f3167e939d5c8d5b226ac8ac650fa4cffb0cd886a63573337ffdfef96931c","observation_id":"b622eb37-d5de-41cf-bc3a-9acc012ad16d","resolution":{"observed_at":"2026-08-01T03:29:25.221967Z","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":"2026-08-01T03:29:25.224439Z","title":"CoLLM : Integrating Collaborative Embeddings Into Large Language Models for Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.224439Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:46ad86280316c43047f74a2c07804c205a6698ea20e358d5c0ba55efb33abcda","observation_id":"481a07a0-fd50-4770-8686-bf0dcc7397df","resolution":{"observed_at":"2026-08-01T03:29:25.224439Z","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":"2026-08-01T03:29:25.226745Z","title":"Text Is All You Need: Learning Language Representations for Sequential Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.226745Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:66d1971e3284fc767159f8ebfcd7f6cfe5304046f89bae1616d0513c98acf88e","observation_id":"72ac07a9-9eff-43e2-9b16-11ca3c5780e8","resolution":{"observed_at":"2026-08-01T03:29:25.226745Z","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":"2026-08-01T03:29:25.229158Z","title":"A Survey on Large Language Models for Recommendation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.229158Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:e8227edcb6c820f40c2ac0cd7e0ea8f4a31393b060d80ef7e75381a841837f42","observation_id":"17a4534d-27aa-4145-b092-3492adefbba9","resolution":{"observed_at":"2026-08-01T03:29:25.229158Z","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":"2026-08-01T03:29:25.231596Z","title":"Autoregressive Image Generation using Residual Quantization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.231596Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:5a46bf93f4c7f99799f3727924287440760639cda49bc72237f8d224e6f5a43d","observation_id":"350d1e64-0e1b-4116-944c-f589c5742420","resolution":{"observed_at":"2026-08-01T03:29:25.231596Z","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":"2026-08-01T03:29:25.233911Z","title":"and Sathiamoorthy, Maheswaran and Zheng, Yilin and Hong, Lichan and Heldt, Lukasz and Wei, Li and Tandon, Devansh and Chi, Ed H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.233911Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:394867af970dacfe882993ec77904dd4781562de1b28c88ccd00a419e6ca1795","observation_id":"0d626ef4-2aff-4fce-b8d5-a41230350a16","resolution":{"observed_at":"2026-08-01T03:29:25.233911Z","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":"2026-08-01T03:29:25.236232Z","title":"and Le, Quoc V","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.236232Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:5d57c902418aff9679c870856db45ca60a2a7d5edd227716278eaea494e754f8","observation_id":"6e5360fe-f952-44c3-b1ff-2e044f410bfa","resolution":{"observed_at":"2026-08-01T03:29:25.236232Z","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":"2026-08-01T03:29:25.238486Z","title":"and Chi, Ed H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-01T03:29:25.238486Z"},"links":{"citing_paper":"/paper/2607.27682"},"observation_digest":"sha256:32634aa196993ef54e0e7b25d433dfc3daeb6a717654a39adfb110477d31e68e","observation_id":"e9352cee-fb6f-421f-bc8f-e55f16a5c908","resolution":{"observed_at":"2026-08-01T03:29:25.238486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.27682","last_updated":"2026-07-30T04:58:22Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T14:28:40.323128Z","submitted_at":"2026-07-30T04:58:22Z","title":"Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":40,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":40},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.27682."}