{"as_of":"2026-08-04T17:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6dc333631b34472d8d1b0ebc3af646ffd4d37aa42d8235874ff836baa74c1354","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":"2026-05-18T12:43:49.628082Z","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":"2026-05-18T12:46:24.296009Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.02436","last_updated":"2026-07-08T02:44:40Z","snapshot_observed_at":"2026-07-11T23:17:19.094967Z","submitted_at":"2025-01-05T04:23:21Z","title":"Network Dynamics-Based Framework for Understanding Deep Neural Networks","version":5},"cited_work":{"arxiv_id":"2501.02436","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.02436","snapshot_observed_at":"2026-07-09T01:19:34.836589Z","title":"Network dynamics-based framework for understanding deep neural networks","venue":null,"work_id":"3cb9dbca-74f2-4732-9118-cdd4dd7f91da","year":2025},"citing_paper":{"arxiv_id":"2509.23629","last_updated":"2026-05-07T02:29:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-09-28T04:10:37Z","title":"Emergent Slow Thinking in LLMs as Inverse Tree Freezing","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-05-18T12:43:49.628082Z"},"links":{"cited_paper":"/paper/2501.02436","citing_paper":"/paper/2509.23629"},"observation_digest":"sha256:3d148f3c379beb0844f7e94d45f0f861c321f6461c2b3587a97b917bbee7ac51","observation_id":"88ae6282-14af-4832-9a6f-ca301f364a0f","resolution":{"observed_at":"2026-07-09T01:19:34.836589Z","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/2501.02436/citation-record","integrity":"/paper/2501.02436/integrity","json":"/paper/2501.02436/citation-record.json","paper":"/paper/2501.02436"},"outbound":[],"paper":{"arxiv_id":"2501.02436","last_updated":"2026-07-08T02:44:40Z","latest_version":5,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-11T23:17:19.094967Z","submitted_at":"2025-01-05T04:23:21Z","title":"Network Dynamics-Based Framework for Understanding Deep Neural Networks"},"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:2501.02436."}