{"as_of":"2026-08-09T04:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:04620e9d1ce26536d655d918db64c8a2bba7c3a6c0991731005778dceaae13c0","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:30:54.419840Z","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":"2026-05-24T05:13:57.164975Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":"2401.06954","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bridging the preference gap between retrievers and llms","venue":null,"work_id":"f0e8752c-6923-40fe-8069-a13478b959a9","year":2024},"citing_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-24T05:10:25.171044Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2312.10997"},"observation_digest":"sha256:e2bb2e95be072232d7234a364f1c22386cab55215f4c4280e7a1401c19a56ef4","observation_id":"2d18d86b-4f2f-47fd-b305-bffe64d1c17a","resolution":{"observed_at":"2026-05-24T05:13:57.168327Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-08-07T14:30:54.419840Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18710","last_updated":"2025-05-24T14:14:57Z","snapshot_observed_at":"2026-08-07T14:24:55.284847Z","submitted_at":"2025-05-24T14:14:57Z","title":"GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T14:30:54.419840Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2505.18710"},"observation_digest":"sha256:9ad913985da92083dadf398ed5de8e69b181306a93ab918185e5a15c2a2addd3","observation_id":"1affa6fc-d9f7-4c14-92e9-8bc5a265ddf3","resolution":{"observed_at":"2026-08-07T14:30:54.419840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-08-06T22:31:37.572458Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21384","last_updated":"2025-06-26T15:35:12Z","snapshot_observed_at":"2026-08-07T20:42:59.691167Z","submitted_at":"2025-06-26T15:35:12Z","title":"Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:31:37.572458Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2506.21384"},"observation_digest":"sha256:be0c4fd30e84476ea196d12c6eb5efd0e637a20c9792a9a1f4c3257007bea096","observation_id":"58d94417-7e6d-48ab-9383-d080cd1efb86","resolution":{"observed_at":"2026-08-06T22:31:37.572458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-08-06T22:18:40.422048Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.21931","last_updated":"2025-08-11T16:24:36Z","snapshot_observed_at":"2026-08-06T22:13:07.182938Z","submitted_at":"2025-06-27T05:45:59Z","title":"ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:18:40.422048Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2506.21931"},"observation_digest":"sha256:2f80443222309de672424b7076663b7422cb26f189cb9612e624090e46bd114e","observation_id":"77962764-f8a3-4a2c-86ad-f0da08407528","resolution":{"observed_at":"2026-08-06T22:18:40.422048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-08-06T21:57:02.443855Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02949","last_updated":"2025-09-06T02:05:50Z","snapshot_observed_at":"2026-08-06T21:49:52.504047Z","submitted_at":"2025-06-28T21:40:35Z","title":"RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T21:57:02.443855Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2507.02949"},"observation_digest":"sha256:340ed17167a6f76289efa42e56f5f6bec65b9b99983d2315ebeaa39eea691968","observation_id":"b1106c0c-ca54-438b-84af-8542770ab1b8","resolution":{"observed_at":"2026-08-06T21:57:02.443855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":"2401.06954","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bridging the preference gap between retrievers and llms","venue":null,"work_id":"f0e8752c-6923-40fe-8069-a13478b959a9","year":2024},"citing_paper":{"arxiv_id":"2604.03675","last_updated":"2026-05-23T06:41:17Z","snapshot_observed_at":"2026-08-03T22:30:44.538626Z","submitted_at":"2026-04-04T10:23:46Z","title":"OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-13T17:16:09.927267Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2604.03675"},"observation_digest":"sha256:c5d9fde86070edfd15548f63cae6ee3371f56315411c722f9fe45379ba825d63","observation_id":"86f201a6-c2a1-47e9-a7ab-f1341eb74870","resolution":{"observed_at":"2026-05-13T17:16:44.757052Z","resolver_source":"orphan_title_repair","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs","version":2},"cited_work":{"arxiv_id":"2401.06954","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.06954","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bridging the preference gap between retrievers and llms","venue":null,"work_id":"f0e8752c-6923-40fe-8069-a13478b959a9","year":2024},"citing_paper":{"arxiv_id":"2604.12735","last_updated":"2026-08-05T08:52:46Z","snapshot_observed_at":"2026-08-09T03:20:26.673676Z","submitted_at":"2026-04-14T13:49:19Z","title":"AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T15:21:42.285340Z"},"links":{"cited_paper":"/paper/2401.06954","citing_paper":"/paper/2604.12735"},"observation_digest":"sha256:540ecff20c6806240466014cdb146e12bcb2a6f912f5f37a933301a78aaffcc1","observation_id":"7fb3613c-0871-472c-a1e4-81f30614b182","resolution":{"observed_at":"2026-05-11T10:41:05.761251Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.06954/citation-record","integrity":"/paper/2401.06954/integrity","json":"/paper/2401.06954/citation-record.json","paper":"/paper/2401.06954"},"outbound":[],"paper":{"arxiv_id":"2401.06954","last_updated":"2024-02-20T21:11:23Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T09:29:02.941237Z","submitted_at":"2024-01-13T02:20:17Z","title":"Bridging the Preference Gap between Retrievers and LLMs"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.06954."}