{"as_of":"2026-08-11T14:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3c99aa65f66cb945c8bfe4bd6c31a1a59231f2212a3da10b51eec6b44b0674d","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":"2026-08-09T15:39:50.325085Z","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":"2026-05-12T08:26:24.513370Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.04443","last_updated":"2018-02-13T02:32:10Z","snapshot_observed_at":"2026-08-10T21:58:41.148289Z","submitted_at":"2018-02-13T02:32:10Z","title":"On Characterizing the Capacity of Neural Networks using Algebraic Topology","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.04443","snapshot_observed_at":"2026-08-09T15:39:50.325085Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.01360","last_updated":"2026-05-28T13:22:52Z","snapshot_observed_at":"2026-08-09T15:31:05.293987Z","submitted_at":"2025-02-03T13:52:17Z","title":"A Quotient Homology Theory of Representation in Neural Networks","version":4},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-09T15:39:50.325085Z"},"links":{"cited_paper":"/paper/1802.04443","citing_paper":"/paper/2502.01360"},"observation_digest":"sha256:9f0d843a673a7608d9860b438e96c36118f59a7b91399fd23dde514bf7e195c2","observation_id":"61c8b981-947a-4b45-8ae7-c82109380d60","resolution":{"observed_at":"2026-08-09T15:39:50.325085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.04443","last_updated":"2018-02-13T02:32:10Z","snapshot_observed_at":"2026-08-10T21:58:41.148289Z","submitted_at":"2018-02-13T02:32:10Z","title":"On Characterizing the Capacity of Neural Networks using Algebraic Topology","version":1},"cited_work":{"arxiv_id":"1802.04443","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1802.04443","snapshot_observed_at":"2026-07-04T22:32:31.415877Z","title":"arXiv preprint arXiv:1802.04443 , year=","venue":null,"work_id":"afdd2a1d-8b0e-4021-8d76-4dfb94dd5fcd","year":null},"citing_paper":{"arxiv_id":"2605.08870","last_updated":"2026-05-28T16:11:51Z","snapshot_observed_at":"2026-08-04T04:21:24.826200Z","submitted_at":"2026-05-09T10:46:47Z","title":"TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-12T01:09:31.633709Z"},"links":{"cited_paper":"/paper/1802.04443","citing_paper":"/paper/2605.08870"},"observation_digest":"sha256:d2c07151c7de1143384bb8c4d600574015a83ac1c410c6e8a4b4902309723040","observation_id":"256cc42e-eabc-430f-915f-989ae0f5e447","resolution":{"observed_at":"2026-07-04T22:32:31.415877Z","resolver_source":"arxiv_id","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/1802.04443/citation-record","integrity":"/paper/1802.04443/integrity","json":"/paper/1802.04443/citation-record.json","paper":"/paper/1802.04443"},"outbound":[],"paper":{"arxiv_id":"1802.04443","last_updated":"2018-02-13T02:32:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T21:58:41.148289Z","submitted_at":"2018-02-13T02:32:10Z","title":"On Characterizing the Capacity of Neural Networks using Algebraic Topology"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1802.04443."}