{"as_of":"2026-08-10T05:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c050ccf3a334e5f6aafb9268e4d14237eb59247e68640829b94e5eed343634d","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:53:35.727935Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.11114","last_updated":"2024-10-14T21:48:14Z","snapshot_observed_at":"2026-07-06T19:33:30.263638Z","submitted_at":"2024-10-14T21:48:14Z","title":"Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios","version":1},"cited_work":{"arxiv_id":"2410.11114","doi":"10.48550/arxiv.2410.11114","metadata_source":"pith","pith_arxiv_id":"2410.11114","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios","venue":"cs.CL","work_id":"bb19a676-4685-416c-b8b7-c889a5e00625","year":2024},"citing_paper":{"arxiv_id":"2507.04432","last_updated":"2025-07-06T15:35:45Z","snapshot_observed_at":"2026-08-10T00:57:28.846603Z","submitted_at":"2025-07-06T15:35:45Z","title":"Reconstructing Biological Pathways by Applying Selective Incremental Learning to (Very) Small Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:53:35.727935Z"},"links":{"cited_paper":"/paper/2410.11114","citing_paper":"/paper/2507.04432"},"observation_digest":"sha256:3806212be06ff8c14bbb1d2cd61c3ee5c6a0eae8e4adb61209d7acfe5ab1ca57","observation_id":"52cce5bf-603b-4372-b73b-49f620c0054d","resolution":{"observed_at":"2026-08-06T19:53:40.656956Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2410.11114/citation-record","integrity":"/paper/2410.11114/integrity","json":"/paper/2410.11114/citation-record.json","paper":"/paper/2410.11114"},"outbound":[],"paper":{"arxiv_id":"2410.11114","last_updated":"2024-10-14T21:48:14Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:33:30.263638Z","submitted_at":"2024-10-14T21:48:14Z","title":"Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.11114."}