{"as_of":"2026-08-12T03:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61ffcf32ae05e680ad7f99ccb12e8f0371a2a8d5df93bec6efa08b906d80df81","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T22:45:12.252155Z","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":"2026-08-09T14:54:29.633661Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.06751","last_updated":"2024-06-05T14:10:11Z","snapshot_observed_at":"2026-08-11T17:45:11.880305Z","submitted_at":"2024-01-12T18:36:29Z","title":"The Unreasonable Effectiveness of Easy Training Data for Hard Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06751","snapshot_observed_at":"2026-08-10T22:45:12.252155Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.00911","last_updated":"2025-01-01T17:58:31Z","snapshot_observed_at":"2026-08-10T22:37:21.538654Z","submitted_at":"2025-01-01T17:58:31Z","title":"Aligning LLMs with Domain Invariant Reward Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:45:12.252155Z"},"links":{"cited_paper":"/paper/2401.06751","citing_paper":"/paper/2501.00911"},"observation_digest":"sha256:fd8ff57a3b80bfedbf6e1496558e488ae1c27da92b2f5a9b63e9907b7efd9af9","observation_id":"9715775d-83cb-40a2-8121-0d37b211048c","resolution":{"observed_at":"2026-08-10T22:45:12.252155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06751","last_updated":"2024-06-05T14:10:11Z","snapshot_observed_at":"2026-08-11T17:45:11.880305Z","submitted_at":"2024-01-12T18:36:29Z","title":"The Unreasonable Effectiveness of Easy Training Data for Hard Tasks","version":2},"cited_work":{"arxiv_id":"2401.06751","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.06751","snapshot_observed_at":"2026-08-09T14:54:29.633661Z","title":"The Unreasonable Effectiveness of Easy Training Data for Hard Tasks","venue":"cs.CL","work_id":"df00b274-7b85-4e7c-83b0-7c0179a0456c","year":2024},"citing_paper":{"arxiv_id":"2502.01612","last_updated":"2025-02-13T05:32:54Z","snapshot_observed_at":"2026-08-10T17:26:50.013600Z","submitted_at":"2025-02-03T18:45:22Z","title":"Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T14:54:29.170865Z"},"links":{"cited_paper":"/paper/2401.06751","citing_paper":"/paper/2502.01612"},"observation_digest":"sha256:4205f91cdc6bd7430ff13b656166957fdf3dddc3387b0ae3912334964b759952","observation_id":"df3f472d-1ed4-4260-90c6-f41e4b432024","resolution":{"observed_at":"2026-08-09T14:54:29.637481Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.06751/citation-record","integrity":"/paper/2401.06751/integrity","json":"/paper/2401.06751/citation-record.json","paper":"/paper/2401.06751"},"outbound":[],"paper":{"arxiv_id":"2401.06751","last_updated":"2024-06-05T14:10:11Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T17:45:11.880305Z","submitted_at":"2024-01-12T18:36:29Z","title":"The Unreasonable Effectiveness of Easy Training Data for Hard Tasks"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.06751."}