{"as_of":"2026-08-19T06:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2759ffe6e7081c10e26578c977f02034a76d42e9e3981ecd707e1529950db28d","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:39:18.741136Z","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":"2026-05-16T12:40:54.699197Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.10766","last_updated":"2026-05-11T12:14:23Z","snapshot_observed_at":"2026-07-06T21:09:26.716260Z","submitted_at":"2025-04-14T23:53:47Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10766","snapshot_observed_at":"2026-08-07T05:52:18.384607Z","title":"How instruction and reasoning data shape post- training: Data quality through the lens of layer-wise gradients.arXiv preprint arXiv:2504.10766, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06998","last_updated":"2025-06-08T05:08:32Z","snapshot_observed_at":"2026-08-17T05:12:20.202064Z","submitted_at":"2025-06-08T05:08:32Z","title":"What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:52:18.384607Z"},"links":{"cited_paper":"/paper/2504.10766","citing_paper":"/paper/2506.06998"},"observation_digest":"sha256:65864958a89a6509c3a8ff2c6b9d3c64dbb0d49c4e796a2aadc088834f19b2d6","observation_id":"850ffb49-167d-49ec-a6ea-77e74aabfc8b","resolution":{"observed_at":"2026-08-07T05:52:18.384607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10766","last_updated":"2026-05-11T12:14:23Z","snapshot_observed_at":"2026-07-06T21:09:26.716260Z","submitted_at":"2025-04-14T23:53:47Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.10766","snapshot_observed_at":"2026-08-15T18:39:18.741136Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00045","last_updated":"2025-06-23T22:05:21Z","snapshot_observed_at":"2026-08-18T19:33:14.956239Z","submitted_at":"2025-06-23T22:05:21Z","title":"CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-15T18:39:18.741136Z"},"links":{"cited_paper":"/paper/2504.10766","citing_paper":"/paper/2507.00045"},"observation_digest":"sha256:65bfa3537cef79b671147819cefabcb892fc275fac297fb3b759492ce1317146","observation_id":"aad2cb95-847b-4e96-a0cc-2adeae487598","resolution":{"observed_at":"2026-08-15T18:39:18.741136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10766","last_updated":"2026-05-11T12:14:23Z","snapshot_observed_at":"2026-07-06T21:09:26.716260Z","submitted_at":"2025-04-14T23:53:47Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients","version":2},"cited_work":{"arxiv_id":"2504.10766","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.10766","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients","venue":"cs.LG","work_id":"05d78026-e6d9-4a93-b337-e4cbaeb34784","year":2025},"citing_paper":{"arxiv_id":"2601.14004","last_updated":"2026-04-14T03:49:06Z","snapshot_observed_at":"2026-08-16T20:33:34.399636Z","submitted_at":"2026-01-20T14:23:23Z","title":"Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models","version":4},"reference_index":171,"source":"pdf_text","source_observed_at":"2026-05-16T12:39:57.398423Z"},"links":{"cited_paper":"/paper/2504.10766","citing_paper":"/paper/2601.14004"},"observation_digest":"sha256:d7243f779a72e9d615bb743fdfe5a8f3f6b67279c2c5255476236bb1bde0e48b","observation_id":"974dbbd9-b83e-439d-a73b-8b2e88dc245f","resolution":{"observed_at":"2026-05-16T12:40:54.700960Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2504.10766/citation-record","integrity":"/paper/2504.10766/integrity","json":"/paper/2504.10766/citation-record.json","paper":"/paper/2504.10766"},"outbound":[],"paper":{"arxiv_id":"2504.10766","last_updated":"2026-05-11T12:14:23Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T21:09:26.716260Z","submitted_at":"2025-04-14T23:53:47Z","title":"How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients"},"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 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.10766."}