{"as_of":"2026-08-07T21:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b351c5ce67435d6729e3f5699a23fb30813b77b51c450dc3c7a30cf1a5669179","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T17:14:30.097714Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T20:07:21.678053Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":"2502.16474","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-07-02T20:07:21.678053Z","title":"arXiv preprint arXiv:2502.16474(2025)","venue":null,"work_id":"b2656a55-1c00-4459-a20d-695c5864c5ec","year":2025},"citing_paper":{"arxiv_id":"2510.21242","last_updated":"2026-04-16T10:43:39Z","snapshot_observed_at":"2026-07-06T22:33:58.663508Z","submitted_at":"2025-10-24T08:25:56Z","title":"Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T05:16:52.798401Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2510.21242"},"observation_digest":"sha256:fb5ca93690788eebdf09290e1a3bc22899bbcf8d4ed5166cca31bc7ae3e4231b","observation_id":"68587cf9-bd20-4fdf-b014-c0fdb8de068a","resolution":{"observed_at":"2026-05-18T05:20:54.409782Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-08-03T17:14:30.097714Z","title":"arXiv preprint arXiv:2502.16474(2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.10388","last_updated":"2026-06-25T17:11:26Z","snapshot_observed_at":"2026-08-03T17:14:27.596621Z","submitted_at":"2025-12-11T07:50:53Z","title":"The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation","version":3},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T17:14:30.097714Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2512.10388"},"observation_digest":"sha256:6af863b0fd1d575f7f417f208e413834287a6edf08d35578cf1e9933defcc4b5","observation_id":"ed8cb29e-36c5-4fb1-8356-50a1c2efa545","resolution":{"observed_at":"2026-08-03T17:14:30.097714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":"2502.16474","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-07-02T20:07:21.678053Z","title":"arXiv preprint arXiv:2502.16474(2025)","venue":null,"work_id":"b2656a55-1c00-4459-a20d-695c5864c5ec","year":2025},"citing_paper":{"arxiv_id":"2604.13273","last_updated":"2026-04-14T20:06:48Z","snapshot_observed_at":"2026-08-02T10:53:13.982624Z","submitted_at":"2026-04-14T20:06:48Z","title":"Mitigating Collaborative Semantic ID Staleness in Generative Retrieval","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T13:55:29.531937Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2604.13273"},"observation_digest":"sha256:41cad2655b10ecf1338d840f90120232129056d52baecc2809d900a59683c94b","observation_id":"523e134a-1a10-4f8a-b05b-d3b64b05313e","resolution":{"observed_at":"2026-05-10T14:00:29.470422Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":"2502.16474","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-07-02T20:07:21.678053Z","title":"arXiv preprint arXiv:2502.16474(2025)","venue":null,"work_id":"b2656a55-1c00-4459-a20d-695c5864c5ec","year":2025},"citing_paper":{"arxiv_id":"2604.14878","last_updated":"2026-04-16T11:07:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-16T11:07:05Z","title":"GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T09:58:14.599825Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2604.14878"},"observation_digest":"sha256:9746bcce44c164be96a44c8379df897ae1d648e9bf14c13e933fa34138021d8a","observation_id":"7e86ac4b-4a49-4dc4-9491-b175f947a6f9","resolution":{"observed_at":"2026-05-10T09:59:02.880261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":"2502.16474","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-07-02T20:07:21.678053Z","title":"arXiv preprint arXiv:2502.16474(2025)","venue":null,"work_id":"b2656a55-1c00-4459-a20d-695c5864c5ec","year":2025},"citing_paper":{"arxiv_id":"2606.06947","last_updated":"2026-06-05T06:21:01Z","snapshot_observed_at":"2026-08-06T21:44:47.016399Z","submitted_at":"2026-06-05T06:21:01Z","title":"DREAM: Dynamic Refinement of Early Assignment Mappings","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T21:01:35.956078Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2606.06947"},"observation_digest":"sha256:c5ca5863026e0196af7bcccda058c226021076e9b9bc634c30cf24e877f7dda3","observation_id":"b296566a-926f-4942-aac2-66a9446a2816","resolution":{"observed_at":"2026-07-02T20:07:21.679881Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.16474","snapshot_observed_at":"2026-07-31T22:39:48.818662Z","title":"Unified semantic and id representation learning for deep recommenders.arXiv preprint arXiv:2502.16474, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.27944","last_updated":"2026-07-30T09:52:18Z","snapshot_observed_at":"2026-08-06T09:27:54.547816Z","submitted_at":"2026-07-30T09:52:18Z","title":"Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-31T22:39:48.818662Z"},"links":{"cited_paper":"/paper/2502.16474","citing_paper":"/paper/2607.27944"},"observation_digest":"sha256:30494b851d164f25d6b314b4250336335868b5c275b32e1f37fe81e51545513b","observation_id":"3d517114-67bb-424d-9d66-1bc20771db72","resolution":{"observed_at":"2026-07-31T22:39:48.818662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.16474/citation-record","integrity":"/paper/2502.16474/integrity","json":"/paper/2502.16474/citation-record.json","paper":"/paper/2502.16474"},"outbound":[],"paper":{"arxiv_id":"2502.16474","last_updated":"2025-02-23T07:17:28Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-07T17:55:34.752069Z","submitted_at":"2025-02-23T07:17:28Z","title":"Unified Semantic and ID Representation Learning for Deep Recommenders"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.16474."}