{"as_of":"2026-08-11T02:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e37edb354628ca62b98dc63aed43434282227d43a9cb75cca83424341aef3817","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T12:52:54.438088Z","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":"2026-05-12T03:31:19.470371Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09685","snapshot_observed_at":"2026-08-04T12:52:54.438088Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.01698","last_updated":"2026-06-02T09:47:42Z","snapshot_observed_at":"2026-08-04T12:52:53.800643Z","submitted_at":"2025-10-02T06:08:54Z","title":"TalkPlay-Tools: Conversational Music Recommendation with LLM Tool Calling","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T12:52:54.438088Z"},"links":{"cited_paper":"/paper/2509.09685","citing_paper":"/paper/2510.01698"},"observation_digest":"sha256:00bf1d4bf718086b11279f905514a1d3ae55f2c9fbd415305b5959dad8fd4ea8","observation_id":"8989a91b-6b1d-4bd0-a21b-e83e3563fee2","resolution":{"observed_at":"2026-08-04T12:52:54.438088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09685","snapshot_observed_at":"2026-08-03T21:09:13.653839Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.16478","last_updated":"2026-07-20T11:57:11Z","snapshot_observed_at":"2026-08-08T04:23:14.885822Z","submitted_at":"2025-11-20T15:46:27Z","title":"Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T21:09:13.653839Z"},"links":{"cited_paper":"/paper/2509.09685","citing_paper":"/paper/2511.16478"},"observation_digest":"sha256:a23a3095eb82cc03052776ade1dd3b8abc2bf65cef7ffdee34d2ba9df4d50c57","observation_id":"91f6c315-66b1-4072-95d6-33404feddc4f","resolution":{"observed_at":"2026-08-03T21:09:13.653839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation","version":5},"cited_work":{"arxiv_id":"2509.09685","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.09685","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"83422ff6-c670-41a3-9f2d-0fa092b5423b","year":2025},"citing_paper":{"arxiv_id":"2605.09120","last_updated":"2026-05-09T19:08:18Z","snapshot_observed_at":"2026-07-06T23:21:16.454273Z","submitted_at":"2026-05-09T19:08:18Z","title":"Reddit2Deezer: A Scalable Dataset for Real-World Grounded Conversational Music Recommendation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T03:30:53.788986Z"},"links":{"cited_paper":"/paper/2509.09685","citing_paper":"/paper/2605.09120"},"observation_digest":"sha256:801473fc71f69df0747ce61577f56f3bb4ea1183ae51ca893f1e5115fff05e9a","observation_id":"43dd185e-a412-48a3-85b1-12fbd9d67c80","resolution":{"observed_at":"2026-06-03T02:05:42.055026Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09685","snapshot_observed_at":"2026-07-11T19:14:13.105401Z","title":"arXiv:2509.09685 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04433","last_updated":"2026-07-05T17:55:05Z","snapshot_observed_at":"2026-08-04T17:53:26.891888Z","submitted_at":"2026-07-05T17:55:05Z","title":"Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-07-11T19:14:13.105401Z"},"links":{"cited_paper":"/paper/2509.09685","citing_paper":"/paper/2607.04433"},"observation_digest":"sha256:73e399632ee846c7e8f9cc8939748bdbdb40dc461b238cbb47781d67b531209b","observation_id":"d977ef17-a3e7-4757-a16f-4590bd182d56","resolution":{"observed_at":"2026-07-11T19:14:13.105401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09685","snapshot_observed_at":"2026-08-01T01:52:41.508868Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25640","last_updated":"2026-07-28T12:26:55Z","snapshot_observed_at":"2026-08-08T02:49:45.524688Z","submitted_at":"2026-07-28T12:26:55Z","title":"LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T01:52:41.508868Z"},"links":{"cited_paper":"/paper/2509.09685","citing_paper":"/paper/2607.25640"},"observation_digest":"sha256:0a7e0e8c5bda9e9053daf8980754feb0d2f2611e756809990eb79d4e25a8516b","observation_id":"62ff3a2c-e0da-4ffb-aad7-69e9b410b36a","resolution":{"observed_at":"2026-08-01T01:52:41.508868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2509.09685/citation-record","integrity":"/paper/2509.09685/integrity","json":"/paper/2509.09685/citation-record.json","paper":"/paper/2509.09685"},"outbound":[],"paper":{"arxiv_id":"2509.09685","last_updated":"2026-06-02T15:04:53Z","latest_version":5,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-08T04:03:01.559067Z","submitted_at":"2025-08-18T05:06:58Z","title":"TalkPlayData 2: An Agentic Synthetic Data Pipeline for Multimodal Conversational Music Recommendation"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2509.09685."}