{"as_of":"2026-08-09T22:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e82ae44d281f69b3242b2187c20dca12c7174ff55650a77a14df7e48577c9fc5","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:51:05.517369Z","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":"2026-08-07T12:09:38.355136Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.06840","last_updated":"2024-06-06T11:55:36Z","snapshot_observed_at":"2026-07-06T17:42:41.349428Z","submitted_at":"2024-03-11T16:01:05Z","title":"RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06840","snapshot_observed_at":"2026-08-07T14:51:05.517369Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17447","last_updated":"2025-05-23T04:04:05Z","snapshot_observed_at":"2026-08-07T14:44:44.035377Z","submitted_at":"2025-05-23T04:04:05Z","title":"LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T14:51:05.517369Z"},"links":{"cited_paper":"/paper/2403.06840","citing_paper":"/paper/2505.17447"},"observation_digest":"sha256:e0e0c4bcca7f0a4182784fad7945797b35d738a012341c912e21bcfcf1f924f7","observation_id":"319efd8c-ff91-4ca4-bc9d-bc117fb75a7a","resolution":{"observed_at":"2026-08-07T14:51:05.517369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06840","last_updated":"2024-06-06T11:55:36Z","snapshot_observed_at":"2026-07-06T17:42:41.349428Z","submitted_at":"2024-03-11T16:01:05Z","title":"RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback","version":2},"cited_work":{"arxiv_id":"2403.06840","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.06840","snapshot_observed_at":"2026-08-07T12:09:38.355136Z","title":"RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback","venue":"cs.CL","work_id":"6f42dabc-914d-4524-b102-e9e0df6c4b1a","year":2024},"citing_paper":{"arxiv_id":"2506.00491","last_updated":"2025-05-31T09:57:07Z","snapshot_observed_at":"2026-08-09T21:33:10.690300Z","submitted_at":"2025-05-31T09:57:07Z","title":"Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:09:35.611999Z"},"links":{"cited_paper":"/paper/2403.06840","citing_paper":"/paper/2506.00491"},"observation_digest":"sha256:70400f784be8c8508247d31346f0ba9323c520129c1882e42639ac41d2f7b47b","observation_id":"006041a6-e7a4-448d-b601-3fa338854f9f","resolution":{"observed_at":"2026-08-07T12:09:38.414523Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.06840/citation-record","integrity":"/paper/2403.06840/integrity","json":"/paper/2403.06840/citation-record.json","paper":"/paper/2403.06840"},"outbound":[],"paper":{"arxiv_id":"2403.06840","last_updated":"2024-06-06T11:55:36Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:42:41.349428Z","submitted_at":"2024-03-11T16:01:05Z","title":"RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.06840."}