{"as_of":"2026-08-08T07:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cfdd031b3a40e3737392ecff96e3bc8cccd5646204af19fac49251d9a13f879c","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":"2026-08-06T15:56:55.422423Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":21,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.09620","last_updated":"2021-10-27T11:19:39Z","snapshot_observed_at":"2026-08-01T16:40:37.093844Z","submitted_at":"2021-06-17T15:56:57Z","title":"Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09620","snapshot_observed_at":"2026-08-06T15:56:55.422423Z","title":"Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.14748","last_updated":"2025-07-19T20:48:46Z","snapshot_observed_at":"2026-08-07T00:04:27.004989Z","submitted_at":"2025-07-19T20:48:46Z","title":"Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:56:55.422423Z"},"links":{"cited_paper":"/paper/2106.09620","citing_paper":"/paper/2507.14748"},"observation_digest":"sha256:ecb7cf20e87ba4b46a2b347746e482e8f1691bb325fd824937db4a7d1d4d47d7","observation_id":"dd8db151-85d0-40e8-ac90-633cd01f57e1","resolution":{"observed_at":"2026-08-06T15:56:55.422423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09620","last_updated":"2021-10-27T11:19:39Z","snapshot_observed_at":"2026-08-01T16:40:37.093844Z","submitted_at":"2021-06-17T15:56:57Z","title":"Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA","version":2},"cited_work":{"arxiv_id":"2106.09620","doi":"10.48550/arxiv.2106.09620","metadata_source":"arxiv_reference","pith_arxiv_id":"2106.09620","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Disentangling","venue":"Työväentutkimus Vuosikirja","work_id":"98de9d91-3a8e-4d92-af69-6a25e2e9ec15","year":null},"citing_paper":{"arxiv_id":"2606.13260","last_updated":"2026-06-11T12:16:35Z","snapshot_observed_at":"2026-08-05T18:30:36.265406Z","submitted_at":"2026-06-11T12:16:35Z","title":"Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-27T07:30:17.092770Z"},"links":{"cited_paper":"/paper/2106.09620","citing_paper":"/paper/2606.13260"},"observation_digest":"sha256:396b95a1e5ec1cdd6bb4fc779e37826317f3c509887a8bdd94b72398e3a44052","observation_id":"ab05fb1e-7ee6-4de2-abc2-e1ca088c60b1","resolution":{"observed_at":"2026-06-27T07:30:40.894192Z","resolver_source":"arxiv_id","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/2106.09620/citation-record","integrity":"/paper/2106.09620/integrity","json":"/paper/2106.09620/citation-record.json","paper":"/paper/2106.09620"},"outbound":[],"paper":{"arxiv_id":"2106.09620","last_updated":"2021-10-27T11:19:39Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-01T16:40:37.093844Z","submitted_at":"2021-06-17T15:56:57Z","title":"Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA"},"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:2106.09620."}