{"as_of":"2026-08-14T02:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:492e5bb506674675dd3d1d09a8f8361e50abe7b91f05a1d852b036f165e4fc93","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":"2026-08-13T06:32:02.005865+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":"2026-08-11T11:13:44.976033Z","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":"2026-06-30T11:34:37.597039Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.09165","last_updated":"2022-08-02T03:30:26Z","snapshot_observed_at":"2026-08-14T00:34:36.391780Z","submitted_at":"2021-10-18T10:33:03Z","title":"A reservoir of timescales in random neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09165","snapshot_observed_at":"2026-08-11T11:13:44.976033Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.15711","last_updated":"2024-12-23T08:30:18Z","snapshot_observed_at":"2026-08-11T11:07:41.747904Z","submitted_at":"2024-12-20T09:31:10Z","title":"Does the brain behave like a (complex) network? I. Dynamics","version":2},"reference_index":169,"source":"pdf_text","source_observed_at":"2026-08-11T11:13:44.976033Z"},"links":{"cited_paper":"/paper/2110.09165","citing_paper":"/paper/2412.15711"},"observation_digest":"sha256:52126137f364693e5a13ba08f3657ff231669ea4bfeebd3533aa31f114891956","observation_id":"da26900c-afef-42da-ae97-30c756a39536","resolution":{"observed_at":"2026-08-11T11:13:44.976033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09165","last_updated":"2022-08-02T03:30:26Z","snapshot_observed_at":"2026-08-14T00:34:36.391780Z","submitted_at":"2021-10-18T10:33:03Z","title":"A reservoir of timescales in random neural networks","version":2},"cited_work":{"arxiv_id":"2110.09165","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09165","snapshot_observed_at":"2026-06-30T11:34:37.597039Z","title":"arXiv:2110.09165 [cond-mat, physics:nlin, q-bio] , author =","venue":null,"work_id":"7b84b105-2799-4ba8-9bf6-73e83682cb14","year":2021},"citing_paper":{"arxiv_id":"2606.28380","last_updated":"2026-06-20T09:21:05Z","snapshot_observed_at":"2026-07-07T00:02:29.000757Z","submitted_at":"2026-06-20T09:21:05Z","title":"Distilling a Modular Reservoir Through a Genomic Bottleneck","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-06-30T11:32:09.892478Z"},"links":{"cited_paper":"/paper/2110.09165","citing_paper":"/paper/2606.28380"},"observation_digest":"sha256:aa20a8ca597710c3f1f6d0ec02ff1c21b659034350201637ff5e9d1a105881a7","observation_id":"0d813102-421c-4f29-bc5e-f7cf1ca754e7","resolution":{"observed_at":"2026-06-30T11:34:37.598364Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2110.09165/citation-record","integrity":"/paper/2110.09165/integrity","json":"/paper/2110.09165/citation-record.json","paper":"/paper/2110.09165"},"outbound":[],"paper":{"arxiv_id":"2110.09165","last_updated":"2022-08-02T03:30:26Z","latest_version":2,"primary_category":"cond-mat.dis-nn","snapshot_observed_at":"2026-08-14T00:34:36.391780Z","submitted_at":"2021-10-18T10:33:03Z","title":"A reservoir of timescales in random 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.09165."}