{"as_of":"2026-08-08T18:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1d7c2e0eb0c2bad9462b90a757b7d94aeeafae3043e443cedcc65af8321356b","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T10:58:58.079358Z","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":"2026-08-07T10:24:25.544142Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.16813","last_updated":"2024-10-22T08:40:05Z","snapshot_observed_at":"2026-07-06T19:37:42.469688Z","submitted_at":"2024-10-22T08:40:05Z","title":"Klein Model for Hyperbolic Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.16813","snapshot_observed_at":"2026-08-07T10:58:58.079358Z","title":"Werner, and Dongmian Zou","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04360","last_updated":"2025-06-04T18:20:30Z","snapshot_observed_at":"2026-08-08T00:20:38.118715Z","submitted_at":"2025-06-04T18:20:30Z","title":"Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T10:58:58.079358Z"},"links":{"cited_paper":"/paper/2410.16813","citing_paper":"/paper/2506.04360"},"observation_digest":"sha256:aa0069bc6a6b0d4f451f73d826054c9fb469aac1663abc31411b12903f8f8d35","observation_id":"6a049c78-55bb-4f44-b142-4da62da60d5f","resolution":{"observed_at":"2026-08-07T10:58:58.079358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16813","last_updated":"2024-10-22T08:40:05Z","snapshot_observed_at":"2026-07-06T19:37:42.469688Z","submitted_at":"2024-10-22T08:40:05Z","title":"Klein Model for Hyperbolic Neural Networks","version":1},"cited_work":{"arxiv_id":"2410.16813","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16813","snapshot_observed_at":"2026-08-07T10:24:25.544142Z","title":"Klein Model for Hyperbolic Neural Networks","venue":"cs.LG","work_id":"e9de131c-c84d-4636-9d0d-874e20e1ad68","year":2024},"citing_paper":{"arxiv_id":"2506.05826","last_updated":"2025-06-06T07:53:40Z","snapshot_observed_at":"2026-08-08T00:20:15.456939Z","submitted_at":"2025-06-06T07:53:40Z","title":"Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T10:24:24.875474Z"},"links":{"cited_paper":"/paper/2410.16813","citing_paper":"/paper/2506.05826"},"observation_digest":"sha256:e9a932b7bccf667cf07573c69b27ba0a94fb952948228e4ce43331f6073094e4","observation_id":"5522f410-346c-469d-9fd4-50887cd7eb9f","resolution":{"observed_at":"2026-08-07T10:24:25.549815Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.16813/citation-record","integrity":"/paper/2410.16813/integrity","json":"/paper/2410.16813/citation-record.json","paper":"/paper/2410.16813"},"outbound":[],"paper":{"arxiv_id":"2410.16813","last_updated":"2024-10-22T08:40:05Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:37:42.469688Z","submitted_at":"2024-10-22T08:40:05Z","title":"Klein Model for Hyperbolic 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.16813."}