{"as_of":"2026-08-04T21:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c985823dc8571ad59e552602bbad16206b6981c5e67401333b4915ba8d6bb02","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":"2026-08-04T06:34:03.388597+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":"2026-05-08T18:45:52.380042Z","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":"2026-05-09T06:15:37.236583Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.13216","last_updated":"2025-06-16T08:16:03Z","snapshot_observed_at":"2026-07-06T21:42:44.024437Z","submitted_at":"2025-06-16T08:16:03Z","title":"Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law","version":1},"cited_work":{"arxiv_id":"2506.13216","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.13216","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.13216 , year=","venue":null,"work_id":"87de1bca-8023-4e10-ae67-1e5dd491b05d","year":null},"citing_paper":{"arxiv_id":"2605.02364","last_updated":"2026-05-04T09:07:54Z","snapshot_observed_at":"2026-07-06T23:15:27.816549Z","submitted_at":"2026-05-04T09:07:54Z","title":"InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-05-08T18:45:52.380042Z"},"links":{"cited_paper":"/paper/2506.13216","citing_paper":"/paper/2605.02364"},"observation_digest":"sha256:5603da40e1519ad5563fea65b333dd3ef1fce9c888493099535201f39886ffb7","observation_id":"9e7d1f0a-44e0-42cb-82f6-574c6dd46af9","resolution":{"observed_at":"2026-05-09T06:15:37.238284Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.13216/citation-record","integrity":"/paper/2506.13216/integrity","json":"/paper/2506.13216/citation-record.json","paper":"/paper/2506.13216"},"outbound":[],"paper":{"arxiv_id":"2506.13216","last_updated":"2025-06-16T08:16:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T21:42:44.024437Z","submitted_at":"2025-06-16T08:16:03Z","title":"Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2506.13216."}