{"as_of":"2026-08-12T23:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dffa832df80b9f2390d537af8cdf9886dd6a7ef40ac594ea16c3efe7318a1429","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":"2026-08-12T06:34:41.77262+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":"2026-08-12T12:06:02.854453Z","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":"2026-08-05T15:39:05.169576Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.09496","last_updated":"2019-05-30T14:39:53Z","snapshot_observed_at":"2026-08-11T13:20:09.618016Z","submitted_at":"2019-01-28T03:10:56Z","title":"Characterizing the Shape of Activation Space in Deep Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.09496","snapshot_observed_at":"2026-08-12T12:06:02.854453Z","title":"Gebhart and P","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2411.17580","last_updated":"2025-03-11T14:53:35Z","snapshot_observed_at":"2026-08-12T11:55:26.698173Z","submitted_at":"2024-11-26T16:46:47Z","title":"Revisiting Point Cloud Completion: Are We Ready For The Real-World?","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T12:06:02.854453Z"},"links":{"cited_paper":"/paper/1901.09496","citing_paper":"/paper/2411.17580"},"observation_digest":"sha256:0f88a7a8f684956d8af5dca842c058babb89e94665c1f074046b51be72c90556","observation_id":"9cedaa47-2952-4212-860a-a2abfcc946e2","resolution":{"observed_at":"2026-08-12T12:06:02.854453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.09496","last_updated":"2019-05-30T14:39:53Z","snapshot_observed_at":"2026-08-11T13:20:09.618016Z","submitted_at":"2019-01-28T03:10:56Z","title":"Characterizing the Shape of Activation Space in Deep Neural Networks","version":2},"cited_work":{"arxiv_id":"1901.09496","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.09496","snapshot_observed_at":"2026-08-05T15:39:05.169576Z","title":"Characterizing the Shape of Activation Space in Deep Neural Networks","venue":"cs.LG","work_id":"3ff1c629-b9c7-4a9f-8b65-4e00d7657385","year":2019},"citing_paper":{"arxiv_id":"2508.19683","last_updated":"2025-08-27T08:44:56Z","snapshot_observed_at":"2026-08-10T15:59:10.598534Z","submitted_at":"2025-08-27T08:44:56Z","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T15:39:05.049405Z"},"links":{"cited_paper":"/paper/1901.09496","citing_paper":"/paper/2508.19683"},"observation_digest":"sha256:d0dc7c84c1d6a1734a5dfad7dbf2e47ddd51237766007b7dfc1ecae3f8894164","observation_id":"0e5b9721-06d9-45ce-a5e9-358fba6ce993","resolution":{"observed_at":"2026-08-05T15:39:05.174949Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1901.09496/citation-record","integrity":"/paper/1901.09496/integrity","json":"/paper/1901.09496/citation-record.json","paper":"/paper/1901.09496"},"outbound":[],"paper":{"arxiv_id":"1901.09496","last_updated":"2019-05-30T14:39:53Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T13:20:09.618016Z","submitted_at":"2019-01-28T03:10:56Z","title":"Characterizing the Shape of Activation Space in 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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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:1901.09496."}