{"as_of":"2026-08-08T12:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8ac4dff4e51e396d9c6edb02274f678ae7be619d42a3dafe491425e32a1074f7","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:56:39.930679Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.17906","last_updated":"2024-09-26T14:52:40Z","snapshot_observed_at":"2026-07-06T19:22:50.028253Z","submitted_at":"2024-09-26T14:52:40Z","title":"Graph Reasoning with Large Language Models via Pseudo-code Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17906","snapshot_observed_at":"2026-08-07T10:56:39.930679Z","title":"arXiv preprint arXiv:2409.17906","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03939","last_updated":"2025-06-04T13:31:21Z","snapshot_observed_at":"2026-08-07T21:43:16.151627Z","submitted_at":"2025-06-04T13:31:21Z","title":"Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:56:39.930679Z"},"links":{"cited_paper":"/paper/2409.17906","citing_paper":"/paper/2506.03939"},"observation_digest":"sha256:cff3ccdd0cd26d528a27704d938ff04405d67b3f8ddf275b3423ce87946ebc1f","observation_id":"5fedc170-3157-4e2a-a44f-650168f9e8cb","resolution":{"observed_at":"2026-08-07T10:56:39.930679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17906","last_updated":"2024-09-26T14:52:40Z","snapshot_observed_at":"2026-07-06T19:22:50.028253Z","submitted_at":"2024-09-26T14:52:40Z","title":"Graph Reasoning with Large Language Models via Pseudo-code Prompting","version":1},"cited_work":{"arxiv_id":"2409.17906","doi":"10.48550/arxiv.2409.17906","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.17906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"no flowchart available","venue":"arXiv (Cornell University)","work_id":"2bac7cd8-8b73-4196-a11e-a9e8ba4aff2f","year":2024},"citing_paper":{"arxiv_id":"2511.12439","last_updated":"2025-12-28T02:55:19Z","snapshot_observed_at":"2026-07-06T22:35:55.936840Z","submitted_at":"2025-11-16T03:48:22Z","title":"Multi-agent Self-triage System with Medical Flowcharts","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-17T21:53:47.777529Z"},"links":{"cited_paper":"/paper/2409.17906","citing_paper":"/paper/2511.12439"},"observation_digest":"sha256:4828d94c76c14c9c9c8cd3a467c2e12ba6ef5a9a9f6ffe5e7bb5101d1075b10b","observation_id":"ab5fd424-a82b-49e0-a9b5-e435124490b7","resolution":{"observed_at":"2026-05-17T21:55:19.726411Z","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":"2409.17906","last_updated":"2024-09-26T14:52:40Z","snapshot_observed_at":"2026-07-06T19:22:50.028253Z","submitted_at":"2024-09-26T14:52:40Z","title":"Graph Reasoning with Large Language Models via Pseudo-code Prompting","version":1},"cited_work":{"arxiv_id":"2409.17906","doi":"10.48550/arxiv.2409.17906","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.17906","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"no flowchart available","venue":"arXiv (Cornell University)","work_id":"2bac7cd8-8b73-4196-a11e-a9e8ba4aff2f","year":2024},"citing_paper":{"arxiv_id":"2604.24104","last_updated":"2026-04-27T06:52:09Z","snapshot_observed_at":"2026-07-06T23:10:12.016186Z","submitted_at":"2026-04-27T06:52:09Z","title":"Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T03:52:34.593773Z"},"links":{"cited_paper":"/paper/2409.17906","citing_paper":"/paper/2604.24104"},"observation_digest":"sha256:7118fc806e6bca5b3f6bb6ef3e2b08382cdfc5e672149073c7de44223c3cb4a8","observation_id":"e9be3ff1-5c00-4d3d-ace9-2e299c783264","resolution":{"observed_at":"2026-05-11T21:56:11.469644Z","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/2409.17906/citation-record","integrity":"/paper/2409.17906/integrity","json":"/paper/2409.17906/citation-record.json","paper":"/paper/2409.17906"},"outbound":[],"paper":{"arxiv_id":"2409.17906","last_updated":"2024-09-26T14:52:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:22:50.028253Z","submitted_at":"2024-09-26T14:52:40Z","title":"Graph Reasoning with Large Language Models via Pseudo-code Prompting"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17906."}