{"as_of":"2026-08-05T21:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d52d386db3e0acc91adec788fa1043e3b4a271151f017dfeb71589219d6e7f6","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":"2026-08-05T06:32:48.257954+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":"2026-05-13T08:09:12.716163Z","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":"2026-05-13T08:09:12.920871Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.01378","last_updated":"2023-09-13T15:07:01Z","snapshot_observed_at":"2026-08-02T22:13:00.670528Z","submitted_at":"2022-12-02T18:59:04Z","title":"ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning","version":2},"cited_work":{"arxiv_id":"2212.01378","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.01378","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cold fusion: Collaborative descent for distributed multitask ﬁnetuning","venue":null,"work_id":"5f9e1ac0-aea9-4c94-a489-9e0d8b96e528","year":2022},"citing_paper":{"arxiv_id":"2212.04089","last_updated":"2023-03-31T15:27:01Z","snapshot_observed_at":"2026-08-03T22:12:27.993418Z","submitted_at":"2022-12-08T05:50:53Z","title":"Editing Models with Task Arithmetic","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-13T08:09:12.716163Z"},"links":{"cited_paper":"/paper/2212.01378","citing_paper":"/paper/2212.04089"},"observation_digest":"sha256:55b9c4a29485246f02891ebed009182b0be5aed290e8a5a40110e6b3605ea2ae","observation_id":"68f73e1c-56c2-4488-af2c-afcc01b429ca","resolution":{"observed_at":"2026-05-13T08:09:12.926121Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.01378/citation-record","integrity":"/paper/2212.01378/integrity","json":"/paper/2212.01378/citation-record.json","paper":"/paper/2212.01378"},"outbound":[],"paper":{"arxiv_id":"2212.01378","last_updated":"2023-09-13T15:07:01Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T22:13:00.670528Z","submitted_at":"2022-12-02T18:59:04Z","title":"ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.01378."}