{"as_of":"2026-08-10T10:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ad3e751f916e4fc293a84b8077355462a094618c5c3162a0337c2c279f12239","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":"2026-08-10T06:31:04.303077+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":"2026-08-07T13:33:54.253956Z","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":"2026-07-01T20:46:13.599229Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1412.7489","last_updated":"2015-03-26T15:29:50Z","snapshot_observed_at":"2026-08-04T04:09:11.311000Z","submitted_at":"2014-12-23T19:50:21Z","title":"A Unified Perspective on Multi-Domain and Multi-Task Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7489","snapshot_observed_at":"2026-08-07T13:33:54.253956Z","title":"Hospedales","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.21598","last_updated":"2025-05-27T16:56:54Z","snapshot_observed_at":"2026-08-09T06:28:29.015364Z","submitted_at":"2025-05-27T16:56:54Z","title":"Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T13:33:54.253956Z"},"links":{"cited_paper":"/paper/1412.7489","citing_paper":"/paper/2505.21598"},"observation_digest":"sha256:857816637320a21fc92c21763087b92bf24af0103e68e58046c095931c185f13","observation_id":"70accda3-7105-445a-8a53-0fa773379f6d","resolution":{"observed_at":"2026-08-07T13:33:54.253956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7489","last_updated":"2015-03-26T15:29:50Z","snapshot_observed_at":"2026-08-04T04:09:11.311000Z","submitted_at":"2014-12-23T19:50:21Z","title":"A Unified Perspective on Multi-Domain and Multi-Task Learning","version":3},"cited_work":{"arxiv_id":"1412.7489","doi":null,"metadata_source":"pith","pith_arxiv_id":"1412.7489","snapshot_observed_at":"2026-07-01T20:46:13.599229Z","title":"A Unified Perspective on Multi-Domain and Multi-Task Learning","venue":"stat.ML","work_id":"4a15a405-b4f0-4aa3-9fb8-fc3b560f9e97","year":2014},"citing_paper":{"arxiv_id":"2606.00979","last_updated":"2026-05-31T03:28:29Z","snapshot_observed_at":"2026-08-03T16:45:48.144041Z","submitted_at":"2026-05-31T03:28:29Z","title":"UME: A Unified Meta-Generalization Framework for Cross-Domain ETA","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-28T17:46:56.748768Z"},"links":{"cited_paper":"/paper/1412.7489","citing_paper":"/paper/2606.00979"},"observation_digest":"sha256:cd40716b7cde3b3e4d0da97f11d059867bf6d4c3d0bc80c0d366baa77391e8e0","observation_id":"2899e8e3-e253-47e6-a176-b40606fff6a9","resolution":{"observed_at":"2026-07-01T20:46:13.605501Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1412.7489/citation-record","integrity":"/paper/1412.7489/integrity","json":"/paper/1412.7489/citation-record.json","paper":"/paper/1412.7489"},"outbound":[],"paper":{"arxiv_id":"1412.7489","last_updated":"2015-03-26T15:29:50Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-04T04:09:11.311000Z","submitted_at":"2014-12-23T19:50:21Z","title":"A Unified Perspective on Multi-Domain and Multi-Task 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1412.7489."}