{"as_of":"2026-08-05T13:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9aced75874cd5c83c2c1898edd0cfae89c44d0b01ff30b94daa243ec5ee8caa3","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T20:27:47.663579Z","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":"2026-07-03T14:38:29.036034Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.07439","last_updated":"2025-04-10T04:08:38Z","snapshot_observed_at":"2026-07-06T21:07:04.785627Z","submitted_at":"2025-04-10T04:08:38Z","title":"LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07439","snapshot_observed_at":"2026-08-02T20:27:47.663579Z","title":"arXiv:2504.07439 https://arxiv.org/abs/2504.07439","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.23234","last_updated":"2026-06-07T00:45:24Z","snapshot_observed_at":"2026-08-03T04:32:35.932734Z","submitted_at":"2026-02-26T17:11:26Z","title":"Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments","version":5},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-02T20:27:47.663579Z"},"links":{"cited_paper":"/paper/2504.07439","citing_paper":"/paper/2602.23234"},"observation_digest":"sha256:b73badd5ca2fcf720620a5780be86d7657f42db8a10d5c201a8699f79d9895f5","observation_id":"47ada31f-dc65-4f3e-a343-27f531b9e7e5","resolution":{"observed_at":"2026-08-02T20:27:47.663579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07439","last_updated":"2025-04-10T04:08:38Z","snapshot_observed_at":"2026-07-06T21:07:04.785627Z","submitted_at":"2025-04-10T04:08:38Z","title":"LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking","version":1},"cited_work":{"arxiv_id":"2504.07439","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07439","snapshot_observed_at":"2026-07-03T14:38:29.036034Z","title":"Llm4ranking: An easy-to-use framework of utilizing large language models for document reranking.arXiv preprint arXiv:2504.07439, 2025","venue":null,"work_id":"585bf5aa-936b-42c6-9f7a-a29d30f5c99d","year":2025},"citing_paper":{"arxiv_id":"2605.30027","last_updated":"2026-05-28T14:50:53Z","snapshot_observed_at":"2026-08-03T22:01:49.076895Z","submitted_at":"2026-05-28T14:50:53Z","title":"DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-29T08:09:41.068000Z"},"links":{"cited_paper":"/paper/2504.07439","citing_paper":"/paper/2605.30027"},"observation_digest":"sha256:21dbfb0aa2f3a7aef841b7349e216e7e2099abe8303ffc1d325a32fc26f053bc","observation_id":"acdc5f1a-8426-4c5d-bedf-b55290ff328a","resolution":{"observed_at":"2026-06-29T08:13:15.113295Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07439","last_updated":"2025-04-10T04:08:38Z","snapshot_observed_at":"2026-07-06T21:07:04.785627Z","submitted_at":"2025-04-10T04:08:38Z","title":"LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking","version":1},"cited_work":{"arxiv_id":"2504.07439","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.07439","snapshot_observed_at":"2026-07-03T14:38:29.036034Z","title":"Llm4ranking: An easy-to-use framework of utilizing large language models for document reranking.arXiv preprint arXiv:2504.07439, 2025","venue":null,"work_id":"585bf5aa-936b-42c6-9f7a-a29d30f5c99d","year":2025},"citing_paper":{"arxiv_id":"2606.12942","last_updated":"2026-06-11T06:09:51Z","snapshot_observed_at":"2026-08-02T20:26:56.141213Z","submitted_at":"2026-06-11T06:09:51Z","title":"PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T07:00:17.978103Z"},"links":{"cited_paper":"/paper/2504.07439","citing_paper":"/paper/2606.12942"},"observation_digest":"sha256:5b01d59cffb33f84c8e34e3815a48942b334217e39386811e965e62961c92c69","observation_id":"0c8df822-f573-4307-854b-dd5cb97b88e1","resolution":{"observed_at":"2026-07-03T14:38:29.037555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.07439","last_updated":"2025-04-10T04:08:38Z","snapshot_observed_at":"2026-07-06T21:07:04.785627Z","submitted_at":"2025-04-10T04:08:38Z","title":"LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.07439","snapshot_observed_at":"2026-08-01T03:45:20.168715Z","title":"Llm4ranking: An easy-to-use framework of utilizing large language models for document reranking","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24850","last_updated":"2026-07-25T06:47:46Z","snapshot_observed_at":"2026-08-03T12:18:41.225352Z","submitted_at":"2026-07-25T06:47:46Z","title":"SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T03:45:20.168715Z"},"links":{"cited_paper":"/paper/2504.07439","citing_paper":"/paper/2607.24850"},"observation_digest":"sha256:5e2e5fb48851ee08a6434664846d07a33b2c2bb2a0aebd785a1f2bbae1712be1","observation_id":"917bfbfe-9893-4ed5-a186-a53005093fc1","resolution":{"observed_at":"2026-08-01T03:45:20.168715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.07439/citation-record","integrity":"/paper/2504.07439/integrity","json":"/paper/2504.07439/citation-record.json","paper":"/paper/2504.07439"},"outbound":[],"paper":{"arxiv_id":"2504.07439","last_updated":"2025-04-10T04:08:38Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T21:07:04.785627Z","submitted_at":"2025-04-10T04:08:38Z","title":"LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.07439."}