{"as_of":"2026-08-14T15:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c8af9eea8c4fa48d8d9b969c9639a64dd82127bcec4e96aacdcf3bbcf595f96","coverage":[{"denominator":3,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T18:02:38.838387Z","state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2512.07331/citation-record","integrity":"/paper/2512.07331/integrity","json":"/paper/2512.07331/citation-record.json","paper":"/paper/2512.07331"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T14:19:26.598265Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-03T18:02:38.632391Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale.arXiv preprint arXiv:2010.11929,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2512.07331","last_updated":"2026-07-16T06:58:18Z","snapshot_observed_at":"2026-08-13T13:56:24.317486Z","submitted_at":"2025-12-08T09:18:32Z","title":"The Inductive Bottleneck: Data-Driven Emergence of Representational Sparsity in Vision Transformers","version":2},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-03T18:02:38.632391Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2512.07331"},"observation_digest":"sha256:e8cdf4e94c2f3305a3c03d449b058cc2f961db7b4be24e47f1529def1132a22b","observation_id":"b741b80f-a571-426f-a4ee-992eb6a8fe01","resolution":{"observed_at":"2026-08-03T18:02:38.632391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"physics/0004057","last_updated":"2000-04-24T15:22:30Z","snapshot_observed_at":"2026-08-12T16:03:20.142135Z","submitted_at":"2000-04-24T15:22:30Z","title":"The information bottleneck method","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"physics/0004057","snapshot_observed_at":"2026-08-03T18:02:38.838387Z","title":"The information bottleneck method.arXiv preprint physics/0004057,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2512.07331","last_updated":"2026-07-16T06:58:18Z","snapshot_observed_at":"2026-08-13T13:56:24.317486Z","submitted_at":"2025-12-08T09:18:32Z","title":"The Inductive Bottleneck: Data-Driven Emergence of Representational Sparsity in Vision Transformers","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-03T18:02:38.838387Z"},"links":{"cited_paper":"/paper/physics/0004057","citing_paper":"/paper/2512.07331"},"observation_digest":"sha256:3727411e028f5876249e20c7dff2848c54f60fd4f180fe6169ce7db057279547","observation_id":"4710e446-5cda-44b8-9abf-dd18e3667ad0","resolution":{"observed_at":"2026-08-03T18:02:38.838387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.05723","last_updated":"2020-08-13T07:04:15Z","snapshot_observed_at":"2026-08-12T06:02:52.593714Z","submitted_at":"2020-08-13T07:04:15Z","title":"Contextual Diversity for Active Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.05723","snapshot_observed_at":"2026-08-03T18:02:38.726440Z","title":"Bayesian active learning for production, a systematic study and a novel approach.arXiv preprint arXiv:2008.05723,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.07331","last_updated":"2026-07-16T06:58:18Z","snapshot_observed_at":"2026-08-13T13:56:24.317486Z","submitted_at":"2025-12-08T09:18:32Z","title":"The Inductive Bottleneck: Data-Driven Emergence of Representational Sparsity in Vision Transformers","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T18:02:38.726440Z"},"links":{"cited_paper":"/paper/2008.05723","citing_paper":"/paper/2512.07331"},"observation_digest":"sha256:ef97f71a38c1a46368b331f304504f6f9fde1e963bad3a8d6da9b9180b95665f","observation_id":"7591a7d3-8f37-4dc2-b9a8-a383831ab39d","resolution":{"observed_at":"2026-08-03T18:02:38.726440Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.07331","last_updated":"2026-07-16T06:58:18Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T13:56:24.317486Z","submitted_at":"2025-12-08T09:18:32Z","title":"The Inductive Bottleneck: Data-Driven Emergence of Representational Sparsity in Vision Transformers"},"reference_resolution":{"displayed":3,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":3},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2512.07331."}