{"as_of":"2026-08-07T22:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40c8783ddb0420d4322fa3428df11030748bda6b08e4d7608e1a8c8dec5aafc4","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T04:56:55.367570Z","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":"2026-08-05T23:09:14.161722Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.07868","last_updated":"2022-04-15T23:31:53Z","snapshot_observed_at":"2026-08-04T00:05:19.841985Z","submitted_at":"2021-12-15T04:19:52Z","title":"Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.07868","snapshot_observed_at":"2026-08-07T04:56:55.367570Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.09259","last_updated":"2025-06-10T21:40:54Z","snapshot_observed_at":"2026-08-07T04:50:44.638660Z","submitted_at":"2025-06-10T21:40:54Z","title":"Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T04:56:55.367570Z"},"links":{"cited_paper":"/paper/2112.07868","citing_paper":"/paper/2506.09259"},"observation_digest":"sha256:8c69aef4929e7a711ba674e76a00021fd8e2a4de8348d5c1490c61204fafbefa","observation_id":"87bc0ecc-bf11-4d47-8651-e59d22a27adb","resolution":{"observed_at":"2026-08-07T04:56:55.367570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.07868","last_updated":"2022-04-15T23:31:53Z","snapshot_observed_at":"2026-08-04T00:05:19.841985Z","submitted_at":"2021-12-15T04:19:52Z","title":"Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases","version":2},"cited_work":{"arxiv_id":"2112.07868","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.07868","snapshot_observed_at":"2026-08-05T23:09:14.161722Z","title":"Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases","venue":"cs.CL","work_id":"22336aba-27b0-42d4-899e-fcb0d4dfd821","year":2021},"citing_paper":{"arxiv_id":"2508.05938","last_updated":"2025-08-08T02:04:14Z","snapshot_observed_at":"2026-08-05T23:09:06.715787Z","submitted_at":"2025-08-08T02:04:14Z","title":"Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T23:09:10.927421Z"},"links":{"cited_paper":"/paper/2112.07868","citing_paper":"/paper/2508.05938"},"observation_digest":"sha256:3246e050c02b0a6dc952728ca7479d47866ab0cab1b46e6607728b401713f872","observation_id":"7b0b4f43-d097-41b1-944d-4679c6ea13df","resolution":{"observed_at":"2026-08-05T23:09:14.232870Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.07868/citation-record","integrity":"/paper/2112.07868/integrity","json":"/paper/2112.07868/citation-record.json","paper":"/paper/2112.07868"},"outbound":[],"paper":{"arxiv_id":"2112.07868","last_updated":"2022-04-15T23:31:53Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T00:05:19.841985Z","submitted_at":"2021-12-15T04:19:52Z","title":"Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.07868."}