{"as_of":"2026-08-09T04:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d05ebe5451906b6ae15727178ad42d2dddfe16085b025744fe0b5a0b2d9f80c","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T05:20:04.667236Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-11T03:47:48.304155Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.12065","last_updated":"2025-05-17T16:07:01Z","snapshot_observed_at":"2026-08-07T15:43:49.894744Z","submitted_at":"2025-05-17T16:07:01Z","title":"Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12065","snapshot_observed_at":"2026-08-07T05:20:04.667236Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08352","last_updated":"2025-06-10T02:09:57Z","snapshot_observed_at":"2026-08-08T11:06:57.563767Z","submitted_at":"2025-06-10T02:09:57Z","title":"Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:20:04.667236Z"},"links":{"cited_paper":"/paper/2505.12065","citing_paper":"/paper/2506.08352"},"observation_digest":"sha256:7209812f662e971c306c51df0eea68de6efc3f72748595825cd89c2b921f1b17","observation_id":"0c8aba97-b7ae-4c83-9258-e661802f1359","resolution":{"observed_at":"2026-08-07T05:20:04.667236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.12065","last_updated":"2025-05-17T16:07:01Z","snapshot_observed_at":"2026-08-07T15:43:49.894744Z","submitted_at":"2025-05-17T16:07:01Z","title":"Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents","version":1},"cited_work":{"arxiv_id":"2505.12065","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.12065","snapshot_observed_at":"2026-07-11T03:47:48.304155Z","title":"Demystifying and enhancing the efficiency of large language model based search agents","venue":"cs.AI","work_id":"829b7ae7-62b6-4c68-9929-90b6454032ea","year":2025},"citing_paper":{"arxiv_id":"2605.10114","last_updated":"2026-05-11T07:31:48Z","snapshot_observed_at":"2026-07-06T23:22:08.560919Z","submitted_at":"2026-05-11T07:31:48Z","title":"SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T02:55:05.775217Z"},"links":{"cited_paper":"/paper/2505.12065","citing_paper":"/paper/2605.10114"},"observation_digest":"sha256:c1999e3f1a80617f54c40c2371bab9e5c2b4fae9e9069cd8e0145b522ccdaecb","observation_id":"e4d8044d-2eb6-4b06-8d58-df636d66361c","resolution":{"observed_at":"2026-05-12T02:56:18.893927Z","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":"2505.12065","last_updated":"2025-05-17T16:07:01Z","snapshot_observed_at":"2026-08-07T15:43:49.894744Z","submitted_at":"2025-05-17T16:07:01Z","title":"Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents","version":1},"cited_work":{"arxiv_id":"2505.12065","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.12065","snapshot_observed_at":"2026-07-11T03:47:48.304155Z","title":"Demystifying and enhancing the efficiency of large language model based search agents","venue":"cs.AI","work_id":"829b7ae7-62b6-4c68-9929-90b6454032ea","year":2025},"citing_paper":{"arxiv_id":"2607.05690","last_updated":"2026-07-19T20:21:45Z","snapshot_observed_at":"2026-08-02T15:10:53.788869Z","submitted_at":"2026-07-06T23:16:11Z","title":"Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T03:44:52.659947Z"},"links":{"cited_paper":"/paper/2505.12065","citing_paper":"/paper/2607.05690"},"observation_digest":"sha256:1e799d89156e999c2305ff881f502623894912fa9447447a8a5c9a61a09b56b7","observation_id":"0e1f3f1c-361c-475b-838b-6dd3ba3a5cfa","resolution":{"observed_at":"2026-07-11T03:47:48.328198Z","resolver_source":"local_arxiv","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":"2505.12065","last_updated":"2025-05-17T16:07:01Z","snapshot_observed_at":"2026-08-07T15:43:49.894744Z","submitted_at":"2025-05-17T16:07:01Z","title":"Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.12065","snapshot_observed_at":"2026-08-02T08:31:02.527350Z","title":"Demystifying and enhancing the efficiency of large language model based search agents.arXiv preprint arXiv:2505.12065,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05690","last_updated":"2026-07-19T20:21:45Z","snapshot_observed_at":"2026-08-02T15:10:53.788869Z","submitted_at":"2026-07-06T23:16:11Z","title":"Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language Agents","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T08:31:02.527350Z"},"links":{"cited_paper":"/paper/2505.12065","citing_paper":"/paper/2607.05690"},"observation_digest":"sha256:406f7941d349afc91c7ebd9fbc1c60c590efd25c476a9683d2261a09707b02ac","observation_id":"1d650cba-3d79-48d0-8e73-69d9a0191158","resolution":{"observed_at":"2026-08-02T08:31:02.527350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.12065/citation-record","integrity":"/paper/2505.12065/integrity","json":"/paper/2505.12065/citation-record.json","paper":"/paper/2505.12065"},"outbound":[],"paper":{"arxiv_id":"2505.12065","last_updated":"2025-05-17T16:07:01Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T15:43:49.894744Z","submitted_at":"2025-05-17T16:07:01Z","title":"Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents"},"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 4 inbound Pith citation observations for arXiv:2505.12065."}