{"as_of":"2026-08-22T22:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27621bc165a5b70daeb7ecf9eb7031147d65b7f27d8dbaebfa83a271f7bd5f30","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:42:31.514058Z","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":"2026-08-06T23:26:57.128846Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.18397","last_updated":"2023-11-30T09:48:51Z","snapshot_observed_at":"2026-08-22T02:51:15.949903Z","submitted_at":"2023-11-30T09:48:51Z","title":"IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18397","snapshot_observed_at":"2026-08-16T11:42:31.514058Z","title":"Iag: Induction-augmented generation framework fo r answering reasoning questions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.14941","last_updated":"2025-06-13T01:19:34Z","snapshot_observed_at":"2026-08-18T13:23:47.095083Z","submitted_at":"2025-04-21T08:02:25Z","title":"WindVE: Collaborative CPU-NPU Vector Embedding","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T11:42:31.514058Z"},"links":{"cited_paper":"/paper/2311.18397","citing_paper":"/paper/2504.14941"},"observation_digest":"sha256:cdacbd1db577568ba9fef6df464ab25f718047bdc7229559ceb966c1e5bc2207","observation_id":"fabae94d-8ffa-4657-aaeb-eea36ae9668b","resolution":{"observed_at":"2026-08-16T11:42:31.514058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18397","last_updated":"2023-11-30T09:48:51Z","snapshot_observed_at":"2026-08-22T02:51:15.949903Z","submitted_at":"2023-11-30T09:48:51Z","title":"IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions","version":1},"cited_work":{"arxiv_id":"2311.18397","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.18397","snapshot_observed_at":"2026-08-06T23:26:57.128846Z","title":"IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions","venue":"cs.CL","work_id":"376dc3ce-57f6-4fd8-9080-50c9a8d23b30","year":2023},"citing_paper":{"arxiv_id":"2506.18096","last_updated":"2025-09-03T15:32:23Z","snapshot_observed_at":"2026-08-15T20:12:18.032530Z","submitted_at":"2025-06-22T16:52:48Z","title":"Deep Research Agents: A Systematic Examination And Roadmap","version":2},"reference_index":137,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:57.016287Z"},"links":{"cited_paper":"/paper/2311.18397","citing_paper":"/paper/2506.18096"},"observation_digest":"sha256:d11b73d83a5b81742ed8d70abfe684bfd21ba14eb89b646df49fd35b40ca1a58","observation_id":"fb7b923f-5dfc-48d0-b0e1-6368b8bff882","resolution":{"observed_at":"2026-08-06T23:26:57.135091Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.18397/citation-record","integrity":"/paper/2311.18397/integrity","json":"/paper/2311.18397/citation-record.json","paper":"/paper/2311.18397"},"outbound":[],"paper":{"arxiv_id":"2311.18397","last_updated":"2023-11-30T09:48:51Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-22T02:51:15.949903Z","submitted_at":"2023-11-30T09:48:51Z","title":"IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.18397."}