{"as_of":"2026-08-18T23:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3fea0b8593d41e2e6107b3a95bbc08b2050ee44b1490ee6247e85ce23a0bca32","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":"2026-08-18T06:34:40.430872+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":"2026-08-06T23:20:58.117215Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T08:26:42.033724Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.05549","last_updated":"2022-10-11T15:43:58Z","snapshot_observed_at":"2026-08-16T16:25:07.535681Z","submitted_at":"2022-10-11T15:43:58Z","title":"Continual Training of Language Models for Few-Shot Learning","version":1},"cited_work":{"arxiv_id":"2210.05549","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.05549","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Continual training of language models for few-shot learning","venue":null,"work_id":"913cb5b2-260c-4101-8796-f4b8b755d5f2","year":null},"citing_paper":{"arxiv_id":"2308.08747","last_updated":"2025-01-05T04:09:00Z","snapshot_observed_at":"2026-08-16T00:12:56.001802Z","submitted_at":"2023-08-17T02:53:23Z","title":"An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T08:26:41.953873Z"},"links":{"cited_paper":"/paper/2210.05549","citing_paper":"/paper/2308.08747"},"observation_digest":"sha256:e2308cc3a8f8a931a7dd2aca4456f74c3705ceb34eea3aae0beb63b050e6f8ea","observation_id":"1b729fe8-ad12-437a-84f1-178afed7578f","resolution":{"observed_at":"2026-05-18T08:26:42.036396Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.05549","last_updated":"2022-10-11T15:43:58Z","snapshot_observed_at":"2026-08-16T16:25:07.535681Z","submitted_at":"2022-10-11T15:43:58Z","title":"Continual Training of Language Models for Few-Shot Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.05549","snapshot_observed_at":"2026-08-06T23:20:58.117215Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.117215Z"},"links":{"cited_paper":"/paper/2210.05549","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:2478d0111546ac672964bb8d5dc8c8efd72c64625ec9dd162707c7de19e22114","observation_id":"f5da7e7c-0855-480b-ab65-82486e8afafe","resolution":{"observed_at":"2026-08-06T23:20:58.117215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.05549/citation-record","integrity":"/paper/2210.05549/integrity","json":"/paper/2210.05549/citation-record.json","paper":"/paper/2210.05549"},"outbound":[],"paper":{"arxiv_id":"2210.05549","last_updated":"2022-10-11T15:43:58Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T16:25:07.535681Z","submitted_at":"2022-10-11T15:43:58Z","title":"Continual Training of Language Models for Few-Shot Learning"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.05549."}