{"as_of":"2026-08-17T12:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cdef5ef3355277f7995c3cc8eaa934f10e631c825673415e5407689e1766717f","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:25:38.738092Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2608.11980/citation-record","integrity":"/paper/2608.11980/integrity","json":"/paper/2608.11980/citation-record.json","paper":"/paper/2608.11980"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:38.485889Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.485889Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:6cb2f4ba72e8563e1dea16ff742a9f9aebd96ed6602c6e46d0d4fdae062c9f0f","observation_id":"cdac9e75-ca43-4c44-b888-08ba78857860","resolution":{"observed_at":"2026-08-16T00:25:38.485889Z","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":"2026-08-16T00:25:38.497798Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.497798Z"},"links":{"cited_paper":"/paper/2502.18965","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:7dd35e8567e58408ca740e3174fa8857313a4a79b90abe6be8e1b2002502eaab","observation_id":"891c5659-77f5-479a-b0c9-3b92cfb89daa","resolution":{"observed_at":"2026-08-16T00:25:38.497798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.05113","last_updated":"2026-04-06T19:18:24Z","snapshot_observed_at":"2026-08-12T20:51:31.765270Z","submitted_at":"2026-04-06T19:18:24Z","title":"CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.05113","snapshot_observed_at":"2026-08-16T00:25:38.503304Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.503304Z"},"links":{"cited_paper":"/paper/2604.05113","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:a6e97a9dd8d3efc378093c9f01a13edb1649bb5a7af5e2ef6c81904c4cad08ae","observation_id":"03f51d29-77b5-46e1-b60e-416027a8bd52","resolution":{"observed_at":"2026-08-16T00:25:38.503304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.04618","last_updated":"2025-09-11T07:51:20Z","snapshot_observed_at":"2026-08-15T03:03:35.646465Z","submitted_at":"2025-08-06T16:45:05Z","title":"HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.04618","snapshot_observed_at":"2026-08-16T00:25:38.508938Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.508938Z"},"links":{"cited_paper":"/paper/2508.04618","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:17a98379b2d940aab9ab711f265d74327088da837bbf6163ee2014e36476d38a","observation_id":"18ae55bb-02b7-4bc9-a57b-9809ec73c8ee","resolution":{"observed_at":"2026-08-16T00:25:38.508938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.19711","last_updated":"2026-04-14T15:10:25Z","snapshot_observed_at":"2026-08-11T13:41:29.697340Z","submitted_at":"2026-01-27T15:34:11Z","title":"Differentiable Semantic ID for Generative Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.19711","snapshot_observed_at":"2026-08-16T00:25:38.514506Z","title":"Jose, and Zhaochun Ren","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.514506Z"},"links":{"cited_paper":"/paper/2601.19711","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:f37c2c229515de5f1cb536f95325b362edf294aaa9a9244b081a572809140450","observation_id":"a7a08108-f9aa-4981-92c5-f37be5c7a186","resolution":{"observed_at":"2026-08-16T00:25:38.514506Z","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":"2026-08-16T00:25:38.520094Z","title":"Gao, Chen Xue, Marc Versage, Xie Zhou, Zhongruo Wang, Chao Li, Yeon Seonwoo, Nan Chen, Zhen Ge, Gourab Kundu, Weiqi Zhang, Tian Wang, Qingjun Cui, and Trishul Chilimbi","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.520094Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:b522958bd22f4a2b427b31af3704aac99a87c7a0e3b470bbeed797cdbc9cc78e","observation_id":"fd16f1cd-b1fb-4f37-afec-cd0900bde6da","resolution":{"observed_at":"2026-08-16T00:25:38.520094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.13366","last_updated":"2023-01-02T05:35:41Z","snapshot_observed_at":"2026-08-16T17:11:57.542225Z","submitted_at":"2022-03-24T22:13:23Z","title":"Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.13366","snapshot_observed_at":"2026-08-16T00:25:38.525191Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.525191Z"},"links":{"cited_paper":"/paper/2203.13366","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:6b4b60030e1d12fde26ea202ee1ba5977d5eafa52774620bda10ab4c7cdcf0e8","observation_id":"81ffd4f1-f826-4f1e-bcf0-2b19a5094369","resolution":{"observed_at":"2026-08-16T00:25:38.525191Z","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":"2026-08-16T00:25:38.531292Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.531292Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:8498e562c89daeb3f34a059d3ff32684d6ba864586aa0495e3924f49d65ff8be","observation_id":"4a9352fb-8ca7-4cd2-b4b7-7f1922b93d27","resolution":{"observed_at":"2026-08-16T00:25:38.531292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00457","last_updated":"2023-07-04T20:04:58Z","snapshot_observed_at":"2026-08-16T15:19:26.240031Z","submitted_at":"2023-07-02T02:37:07Z","title":"GenRec: Large Language Model for Generative Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00457","snapshot_observed_at":"2026-08-16T00:25:38.541735Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.541735Z"},"links":{"cited_paper":"/paper/2307.00457","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:ad385770730fb3c199dc51f0dc0d2f5465081d2556669a1910e469a477f7c5a1","observation_id":"88764204-3f9a-466f-bb4f-9f4a47a255de","resolution":{"observed_at":"2026-08-16T00:25:38.541735Z","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":"2026-08-16T00:25:38.547019Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.547019Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:e946d4a4bb4f7b187b6d1e3346b1e246d04b968d7c1e66dff3e008e36936a298","observation_id":"9f97dace-59f1-46f1-9a4f-76d3c35dacf9","resolution":{"observed_at":"2026-08-16T00:25:38.547019Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.22224","last_updated":"2025-07-29T20:41:51Z","snapshot_observed_at":"2026-08-14T01:39:03.051350Z","submitted_at":"2025-07-29T20:41:51Z","title":"Generative Recommendation with Semantic IDs: A Practitioner's Handbook","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.22224","snapshot_observed_at":"2026-08-16T00:25:38.552045Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.552045Z"},"links":{"cited_paper":"/paper/2507.22224","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:d9600d31f454e1031ef25418436d9dc984299848960b44b2c84397b0cdaf44ee","observation_id":"5bbdf2db-f2d0-490c-8a2a-67bf6e4a83b7","resolution":{"observed_at":"2026-08-16T00:25:38.552045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1808.09781","last_updated":"2018-08-20T04:28:05Z","snapshot_observed_at":"2026-08-14T18:39:29.436895Z","submitted_at":"2018-08-20T04:28:05Z","title":"Self-Attentive Sequential Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.09781","snapshot_observed_at":"2026-08-16T00:25:38.557193Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.557193Z"},"links":{"cited_paper":"/paper/1808.09781","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:8a40e1798e8477349a01d28cf9cac3fa2183c33761c4997ee6116e47489de79c","observation_id":"340ee0b9-eddf-4ccd-8600-c551e14244b2","resolution":{"observed_at":"2026-08-16T00:25:38.557193Z","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":"2602.16375","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:39.828939Z","title":null,"venue":null,"work_id":"5531b377-836e-4450-8aeb-b44fe3ff9918","year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.562322Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:081739d4ed05b82ceaba9ba72c366bbaaee5812f1f00dbf0318990abfea00ab5","observation_id":"1d19f464-c915-4770-b557-6c45ae60abcd","resolution":{"observed_at":"2026-08-16T00:25:39.836957Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:38.567466Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.567466Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:3aeb12565bdf6cefe6223d260e942709c9d93e81435a7c2387ed1eb5cdf2eb1d","observation_id":"d1b3967a-65ec-4ef4-b2f5-907ce713b336","resolution":{"observed_at":"2026-08-16T00:25:38.567466Z","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":"2026-08-16T00:25:38.572255Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.572255Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:483406206bcaf0dbc184e367e8a83beebe671e9efcf144c57b84ffad1ab1432a","observation_id":"3182ba92-2c56-4903-bb0c-a8b5bb9154d0","resolution":{"observed_at":"2026-08-16T00:25:38.572255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:40.201551Z","title":null,"venue":null,"work_id":"437d9217-7bad-4b2e-bf93-153055c4779d","year":2019},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.576965Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:d532019ca6f7fc09c937ab09207e7116c0c036c9dc72685742ed873339c69ef5","observation_id":"13dc6e16-a0e3-40bb-b629-be719edf1253","resolution":{"observed_at":"2026-08-16T00:25:40.206433Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10478","last_updated":"2025-08-14T09:28:49Z","snapshot_observed_at":"2026-08-13T23:41:04.706043Z","submitted_at":"2025-08-14T09:28:49Z","title":"Semantic IDs for Joint Generative Search and Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.10478","snapshot_observed_at":"2026-08-16T00:25:38.582380Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.582380Z"},"links":{"cited_paper":"/paper/2508.10478","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:baf7b30ef2a3de83aa323761011d602cd38079e1b9c525c4b88886c7d279c8e9","observation_id":"313a0b10-1d45-49a5-a672-71456848aff7","resolution":{"observed_at":"2026-08-16T00:25:38.582380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16823","last_updated":"2024-10-22T08:49:43Z","snapshot_observed_at":"2026-08-16T13:07:04.395838Z","submitted_at":"2024-10-22T08:49:43Z","title":"Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?","version":1},"cited_work":{"arxiv_id":"2410.16823","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16823","snapshot_observed_at":"2026-08-16T00:25:39.587515Z","title":"Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?","venue":"cs.IR","work_id":"d3a5fe50-7ade-442e-8cd8-e21374d0212f","year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.587681Z"},"links":{"cited_paper":"/paper/2410.16823","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:74c58295b41b0446ca53844aea0dc4d6fd0a06969b4a446d7bb9075dbac3fa27","observation_id":"e084f626-e57f-4a95-ba43-432e3a23b123","resolution":{"observed_at":"2026-08-16T00:25:39.593238Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05065","last_updated":"2023-11-03T18:02:56Z","snapshot_observed_at":"2026-08-16T15:34:38.812759Z","submitted_at":"2023-05-08T21:48:17Z","title":"Recommender Systems with Generative Retrieval","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05065","snapshot_observed_at":"2026-08-16T00:25:38.592881Z","title":"Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.592881Z"},"links":{"cited_paper":"/paper/2305.05065","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:231266f1f914e61e7d9523fa6bcb02baf666eba959d97adaac80a1bb02d6ab57","observation_id":"3697b94a-5230-454a-9524-db0eda6957a3","resolution":{"observed_at":"2026-08-16T00:25:38.592881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2608.02276","last_updated":"2026-08-03T14:12:18Z","snapshot_observed_at":"2026-08-07T00:46:13.342278Z","submitted_at":"2026-08-03T14:12:18Z","title":"Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories","version":1},"cited_work":{"arxiv_id":"2608.02276","doi":"10.48550/arxiv.2608.02276","metadata_source":"pith","pith_arxiv_id":"2608.02276","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories","venue":"cs.AI","work_id":"57075f0b-5490-4b16-9813-889e09d7bb8a","year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.597926Z"},"links":{"cited_paper":"/paper/2608.02276","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:411444b54977120a22b709cc8a09c368860a069df4ca75400946a368f2759bfd","observation_id":"30b8d41f-d455-4ba9-baa8-79bded77af76","resolution":{"observed_at":"2026-08-16T00:25:38.875890Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03300","last_updated":"2024-04-27T15:25:53Z","snapshot_observed_at":"2026-08-06T14:58:42.911363Z","submitted_at":"2024-02-05T18:55:32Z","title":"DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03300","snapshot_observed_at":"2026-08-16T00:25:38.603323Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.603323Z"},"links":{"cited_paper":"/paper/2402.03300","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:f6db4c1aac07041c82e6a896d60aace27911dc7e181caaf6c969a8da0c7bc8bd","observation_id":"e1a9edd9-610c-4e0d-99b6-8fb45e29b627","resolution":{"observed_at":"2026-08-16T00:25:38.603323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13375","last_updated":"2024-07-07T09:23:35Z","snapshot_observed_at":"2026-08-16T14:58:13.951071Z","submitted_at":"2023-09-23T13:44:59Z","title":"Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13375","snapshot_observed_at":"2026-08-16T00:25:38.608766Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.608766Z"},"links":{"cited_paper":"/paper/2309.13375","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:59011f2e9b74aab90d9b629338b5d6bd270cbc5a5cbd25fa3642349be7539d3b","observation_id":"db41a66b-f9f3-4622-bda5-e202117c8626","resolution":{"observed_at":"2026-08-16T00:25:38.608766Z","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":"2026-08-16T00:25:38.614165Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.614165Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:bee7645731a7202adbd99d16b9105f5e179f2cfa664d51083cd98acb0124692b","observation_id":"bf831aba-2974-4cf4-a401-47f467689dce","resolution":{"observed_at":"2026-08-16T00:25:38.614165Z","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":"2026-08-16T00:25:38.625597Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.625597Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:0c93d8436111e1c7cb0b2b3c350b2a4375edf4a0fea3e069ba7a9a20abee73f4","observation_id":"ad85e529-c186-401e-a85c-5623ae394419","resolution":{"observed_at":"2026-08-16T00:25:38.625597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.07426","last_updated":"2018-09-19T23:13:57Z","snapshot_observed_at":"2026-08-16T12:44:44.254033Z","submitted_at":"2018-09-19T23:13:57Z","title":"Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.07426","snapshot_observed_at":"2026-08-16T00:25:38.630655Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.630655Z"},"links":{"cited_paper":"/paper/1809.07426","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:568570c34f2815395bc828022f0a75aa7e74f8bb0966d59b7467d6b0727fbcfc","observation_id":"5b8bdca2-3f17-4fd2-bc76-0447d00a8125","resolution":{"observed_at":"2026-08-16T00:25:38.630655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.26427","last_updated":"2026-04-29T08:38:14Z","snapshot_observed_at":"2026-08-02T14:06:59.801631Z","submitted_at":"2026-04-29T08:38:14Z","title":"CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.26427","snapshot_observed_at":"2026-08-16T00:25:38.635815Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.635815Z"},"links":{"cited_paper":"/paper/2604.26427","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:18bb9137fec26835a44d30a40977f46f11204177c8944fde925c31d71db9e94f","observation_id":"ed9b04de-de16-44a7-bf80-4e9e74682a39","resolution":{"observed_at":"2026-08-16T00:25:38.635815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.13573","last_updated":"2026-08-02T03:45:59Z","snapshot_observed_at":"2026-08-15T14:10:29.632245Z","submitted_at":"2026-02-14T03:15:31Z","title":"Unleash the Potential of Long Semantic IDs for Generative Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.13573","snapshot_observed_at":"2026-08-16T00:25:38.641691Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.641691Z"},"links":{"cited_paper":"/paper/2602.13573","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:8ac10052aefe7887b34eb516d723a33d093a884a01f23ff054539088e0614c7f","observation_id":"01eb6d09-c731-44d1-a8ff-80d2eeb8f492","resolution":{"observed_at":"2026-08-16T00:25:38.641691Z","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":"2026-08-16T00:25:38.648312Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.648312Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:cff45149708eb437a7cbf8232c00dfbc8b28690d222fa135839c3b8e95d981ba","observation_id":"d311c29e-9b53-47e2-b677-13bc5dea7332","resolution":{"observed_at":"2026-08-16T00:25:38.648312Z","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":"2602.23639","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:39.317165Z","title":null,"venue":null,"work_id":"0a13d66e-f9b9-4ac4-9dc2-f29225a5dc17","year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.653941Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:a93e7cce1011d7e2eb7c8508b0bd7013ea713c8c878623fa36eb8b456f5eed18","observation_id":"737968ef-36e4-4504-8227-26e9e636f142","resolution":{"observed_at":"2026-08-16T00:25:39.325341Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18814","last_updated":"2024-12-06T23:09:05Z","snapshot_observed_at":"2026-08-14T07:51:33.486023Z","submitted_at":"2024-11-27T23:36:59Z","title":"Unifying Generative and Dense Retrieval for Sequential Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18814","snapshot_observed_at":"2026-08-16T00:25:38.659161Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.659161Z"},"links":{"cited_paper":"/paper/2411.18814","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:8d7f8287c6b59eb7e2c3d7a182295ac66fee7b8f2a134c0d788802d28c7ad149","observation_id":"a88be0ad-ba54-4caa-b918-e79b0c1ec184","resolution":{"observed_at":"2026-08-16T00:25:38.659161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.19276","last_updated":"2026-06-10T15:56:20Z","snapshot_observed_at":"2026-08-16T13:06:04.028433Z","submitted_at":"2024-10-25T03:06:10Z","title":"MOTOR: Learning ID-free Item Representation with Token Crossing for Embedding-based Multimodal Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.19276","snapshot_observed_at":"2026-08-16T00:25:38.664365Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.664365Z"},"links":{"cited_paper":"/paper/2410.19276","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:792b27fc26ecce84de34957cf28ce74d94c074e9d88e88f76e89951060d5b9f4","observation_id":"cc877d1e-c4ee-4bdb-9778-f9db439a2e35","resolution":{"observed_at":"2026-08-16T00:25:38.664365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:40.175761Z","title":null,"venue":null,"work_id":"996b0b12-6c33-4cd0-bde3-33bf91f0bdbd","year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.670005Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:6065b91c7d26ba1277242cf160e1379b8474aa93415bedfadccecb18c1bb2b76","observation_id":"554d3169-64cd-42fd-923b-1d1897064e22","resolution":{"observed_at":"2026-08-16T00:25:40.180486Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:38.681430Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.681430Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:f7c2db569d50c6ff1bf21c3ce865287a6affc43b2022489da1878edb1ac4ae0a","observation_id":"b5d95dd3-7872-43b5-a83b-702e5adef373","resolution":{"observed_at":"2026-08-16T00:25:38.681430Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2606.12245","last_updated":"2026-06-10T15:47:26Z","snapshot_observed_at":"2026-08-15T03:24:50.938349Z","submitted_at":"2026-06-10T15:47:26Z","title":"DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation","version":1},"cited_work":{"arxiv_id":"2606.12245","doi":"10.48550/arxiv.2606.12245","metadata_source":"pith","pith_arxiv_id":"2606.12245","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation","venue":"cs.IR","work_id":"5e13233d-0a72-4a49-ab70-4786da47403b","year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.686689Z"},"links":{"cited_paper":"/paper/2606.12245","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:38c1cb059c523cae5288e2738d9c3fbf435a2d0487498528fcafa775ef7ef964","observation_id":"309b0005-a0b3-4238-a86b-e929adb57759","resolution":{"observed_at":"2026-08-16T00:25:38.801796Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.13527","last_updated":"2026-06-01T11:38:10Z","snapshot_observed_at":"2026-08-15T20:23:45.112464Z","submitted_at":"2026-05-13T13:40:31Z","title":"MMSkills: Towards Multimodal Skills for General Visual Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.13527","snapshot_observed_at":"2026-08-16T00:25:38.692227Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.692227Z"},"links":{"cited_paper":"/paper/2605.13527","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:0609fde6c8758031d53b857ef6bf344f67854bf021195824781cb3a0008f4c69","observation_id":"2abe8750-e116-45b8-a37c-ab841c51c7fd","resolution":{"observed_at":"2026-08-16T00:25:38.692227Z","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":"2026-08-16T00:25:38.697393Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.697393Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:db37377d1ede813d4a75d7ad98e87f1dbedc55850ce9e2f57e1110dceca59173","observation_id":"34faa12f-f861-4ff1-b862-4b511971ec09","resolution":{"observed_at":"2026-08-16T00:25:38.697393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09049","last_updated":"2024-04-19T08:03:50Z","snapshot_observed_at":"2026-08-16T14:43:02.804455Z","submitted_at":"2023-11-15T15:39:33Z","title":"Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.09049","snapshot_observed_at":"2026-08-16T00:25:38.702222Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.702222Z"},"links":{"cited_paper":"/paper/2311.09049","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:37e517557f2db1ddff38a1b63ce8210d4ce20d671b43c8611aef672e84130b05","observation_id":"b27ae927-5f33-4528-9087-5827b5b39098","resolution":{"observed_at":"2026-08-16T00:25:38.702222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.04400","last_updated":"2025-05-25T06:28:48Z","snapshot_observed_at":"2026-08-16T12:43:39.045340Z","submitted_at":"2025-04-06T08:03:03Z","title":"Pre-training Generative Recommender with Multi-Identifier Item Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.04400","snapshot_observed_at":"2026-08-16T00:25:38.707194Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.707194Z"},"links":{"cited_paper":"/paper/2504.04400","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:670b7d78acffff3e57375b36bd4318ab44ed78f2154e2a043274e478c1aa07e6","observation_id":"7edc586c-febd-4cdd-a619-1b1fbb991fa8","resolution":{"observed_at":"2026-08-16T00:25:38.707194Z","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":"2026-08-16T00:25:38.712481Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.712481Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:f2f127b9c2b2513f3b88ffe2963978eddbb98530f0dd4654ba4abf82b37d6774","observation_id":"5f2eab84-e475-40e4-bbaa-74e535210530","resolution":{"observed_at":"2026-08-16T00:25:38.712481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.20900","last_updated":"2025-10-28T09:32:28Z","snapshot_observed_at":"2026-08-16T16:15:56.566906Z","submitted_at":"2025-08-28T15:29:51Z","title":"OneRec-V2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.20900","snapshot_observed_at":"2026-08-16T00:25:38.717575Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.717575Z"},"links":{"cited_paper":"/paper/2508.20900","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:dcb3a89cbb34d41814476640bb291dce434c83aa507ca8a9f5ffc164aa0b2789","observation_id":"0b140531-0574-4b74-9bc0-915f4cadec40","resolution":{"observed_at":"2026-08-16T00:25:38.717575Z","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":"2026-08-16T00:25:38.722881Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.722881Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:c406161521847271eb1a662f9786d6367236e4a9d862125017f9124229ea6048","observation_id":"ff7f6252-30a0-4928-8c89-f2cc849f904b","resolution":{"observed_at":"2026-08-16T00:25:38.722881Z","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":"2026-08-16T00:25:38.732991Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.732991Z"},"links":{"citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:9bd07067523915bfa0c33159d3157286706c28db48d59c1266b45035194482e1","observation_id":"7102ef06-1717-4543-8aaa-dab2d39c0e1d","resolution":{"observed_at":"2026-08-16T00:25:38.732991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.14878","last_updated":"2026-04-16T11:07:05Z","snapshot_observed_at":"2026-08-15T06:42:42.368963Z","submitted_at":"2026-04-16T11:07:05Z","title":"GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.14878","snapshot_observed_at":"2026-08-16T00:25:38.738092Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.738092Z"},"links":{"cited_paper":"/paper/2604.14878","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:8e8715aa4e42d064b6c3ed1e3a5de5c00cdccaa8f19c2adfab4a141be8b58852","observation_id":"cf76463b-a82d-43d6-9ac9-eb8c974635ff","resolution":{"observed_at":"2026-08-16T00:25:38.738092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06939","last_updated":"2016-03-29T14:52:58Z","snapshot_observed_at":"2026-08-15T14:18:11.908702Z","submitted_at":"2015-11-21T23:42:59Z","title":"Session-based Recommendations with Recurrent Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06939","snapshot_observed_at":"2026-08-16T00:25:38.536121Z","title":"arXiv:1511.06939 [cs.LG] https://arxiv.org/abs/1511.06939","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.536121Z"},"links":{"cited_paper":"/paper/1511.06939","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:c470bc8ec939e0c8abe207cc7278cd5348745a6c35643c7617244a797482d018","observation_id":"608d3e77-ec04-4ff6-a9de-63bd76fc812a","resolution":{"observed_at":"2026-08-16T00:25:38.536121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.06690","last_updated":"2019-08-21T07:36:44Z","snapshot_observed_at":"2026-08-14T16:46:53.271614Z","submitted_at":"2019-04-14T13:01:46Z","title":"BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.06690","snapshot_observed_at":"2026-08-16T00:25:38.619381Z","title":"arXiv:1904.06690 [cs.IR] https://arxiv.org/abs/ 1904.06690","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.619381Z"},"links":{"cited_paper":"/paper/1904.06690","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:bb9a6a52757ddaa04dd495e00eae4a3cfcba3f6303f05048babade6206f57f60","observation_id":"7cb41305-80f5-4c9a-9a16-8cb1debc116d","resolution":{"observed_at":"2026-08-16T00:25:38.619381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.00447","last_updated":"2023-10-17T13:29:42Z","snapshot_observed_at":"2026-08-16T15:36:42.046553Z","submitted_at":"2023-04-30T10:55:56Z","title":"TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.00447","snapshot_observed_at":"2026-08-16T00:25:38.491722Z","title":"arXiv:2305.00447 [cs.IR] doi:10.1145/ 3604915.3608857","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.491722Z"},"links":{"cited_paper":"/paper/2305.00447","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:ec3338c0b7f485c170b132a4b47de2097c740ced99daf88ec7d59608da7aad3a","observation_id":"1dc5a6d9-a685-401d-8729-a7b7b116826b","resolution":{"observed_at":"2026-08-16T00:25:38.491722Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14774","last_updated":"2024-09-07T16:11:36Z","snapshot_observed_at":"2026-08-16T13:58:39.151510Z","submitted_at":"2024-04-23T06:29:48Z","title":"CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14774","snapshot_observed_at":"2026-08-16T00:25:38.727834Z","title":"arXiv:2404.14774 [cs.IR] https://arxiv.org/abs/2404.14774","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.727834Z"},"links":{"cited_paper":"/paper/2404.14774","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:05131f70829dc65d813ba7442bf02534c58bccb730a7f71a08d84829ea40c5d9","observation_id":"b7ca92d1-e68b-4b6c-8dc2-1a3489b5d753","resolution":{"observed_at":"2026-08-16T00:25:38.727834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2607.28590","last_updated":"2026-07-30T17:43:46Z","snapshot_observed_at":"2026-08-10T13:40:32.070762Z","submitted_at":"2026-07-30T17:43:46Z","title":"VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation","version":1},"cited_work":{"arxiv_id":"2607.28590","doi":"10.48550/arxiv.2607.28590","metadata_source":"pith","pith_arxiv_id":"2607.28590","snapshot_observed_at":"2026-08-16T12:16:17.039197Z","title":"VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation","venue":"cs.CV","work_id":"35759d56-6d2e-4f47-8baf-608c2178c669","year":2026},"citing_paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-16T00:25:38.676170Z"},"links":{"cited_paper":"/paper/2607.28590","citing_paper":"/paper/2608.11980"},"observation_digest":"sha256:e08515a27ba7d0fafdefb113053ef737bc09fe5fdcca00b464f4bf5deed92cbf","observation_id":"874c3844-0141-4490-b6ad-f05cb8453032","resolution":{"observed_at":"2026-08-16T00:25:38.835129Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.11980","last_updated":"2026-08-12T12:13:08Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-16T16:16:25.620155Z","submitted_at":"2026-08-12T12:13:08Z","title":"HCGRec: Hint-Conditioned Generative Recommendation with Semantic IDs"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":2,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":40,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":48},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.11980."}