{"as_of":"2026-08-18T16:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d203e3f90fabdfc326765966b3d97102e13346bb4d523df5833fe701f3f40588","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T19:28:25.704968Z","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":"2026-07-01T21:16:14.369772Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.16262","last_updated":"2022-03-30T12:46:31Z","snapshot_observed_at":"2026-08-18T07:13:53.738850Z","submitted_at":"2022-03-30T12:46:31Z","title":"How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.16262","snapshot_observed_at":"2026-08-10T19:28:25.704968Z","title":"How does sim- siam avoid collapse without negative samples? a unified un- derstanding with self-supervised contrastive learning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.10131","last_updated":"2025-01-17T11:39:47Z","snapshot_observed_at":"2026-08-10T23:17:37.189660Z","submitted_at":"2025-01-17T11:39:47Z","title":"ACE: Anatomically Consistent Embeddings in Composition and Decomposition","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T19:28:25.704968Z"},"links":{"cited_paper":"/paper/2203.16262","citing_paper":"/paper/2501.10131"},"observation_digest":"sha256:0d5186c627e6d3201ee7a536d5ae278ff11110b1cbd771447b0ca790a3e507fa","observation_id":"757a2036-a924-4051-baa2-606f77faa063","resolution":{"observed_at":"2026-08-10T19:28:25.704968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.16262","last_updated":"2022-03-30T12:46:31Z","snapshot_observed_at":"2026-08-18T07:13:53.738850Z","submitted_at":"2022-03-30T12:46:31Z","title":"How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.16262","snapshot_observed_at":"2026-08-07T22:14:56.182972Z","title":"X., Yoo, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09252","last_updated":"2025-06-11T13:17:56Z","snapshot_observed_at":"2026-08-17T05:45:08.036720Z","submitted_at":"2025-02-13T12:09:17Z","title":"On the Importance of Embedding Norms in Self-Supervised Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T22:14:56.182972Z"},"links":{"cited_paper":"/paper/2203.16262","citing_paper":"/paper/2502.09252"},"observation_digest":"sha256:7c1f413508632eee4f2a70825be896d927a0f7d2841d83d96996f8fa5e54963c","observation_id":"c49fca80-7594-4cb7-a6b1-a4acbab54a55","resolution":{"observed_at":"2026-08-07T22:14:56.182972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.16262","last_updated":"2022-03-30T12:46:31Z","snapshot_observed_at":"2026-08-18T07:13:53.738850Z","submitted_at":"2022-03-30T12:46:31Z","title":"How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2203.16262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.16262","snapshot_observed_at":"2026-07-01T21:16:14.369772Z","title":"How does sim- siam avoid collapse without negative samples? a unified un- derstanding with self-supervised contrastive learning","venue":null,"work_id":"acf4042a-0a3e-46e6-9b9a-a4950203b982","year":2022},"citing_paper":{"arxiv_id":"2604.24393","last_updated":"2026-04-27T12:21:25Z","snapshot_observed_at":"2026-08-12T22:16:30.641393Z","submitted_at":"2026-04-27T12:21:25Z","title":"Complexity of Linear Regions in Self-supervised Deep ReLU Networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T04:18:11.839205Z"},"links":{"cited_paper":"/paper/2203.16262","citing_paper":"/paper/2604.24393"},"observation_digest":"sha256:729b139431335ca5cac7fe38cc5d6c6b52ce7f50a7d962e9060f66bb37a5391b","observation_id":"87d0bf51-8bc4-4162-aaf7-af5ecc79315c","resolution":{"observed_at":"2026-05-11T21:46:48.844226Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.16262","last_updated":"2022-03-30T12:46:31Z","snapshot_observed_at":"2026-08-18T07:13:53.738850Z","submitted_at":"2022-03-30T12:46:31Z","title":"How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2203.16262","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.16262","snapshot_observed_at":"2026-07-01T21:16:14.369772Z","title":"How does sim- siam avoid collapse without negative samples? a unified un- derstanding with self-supervised contrastive learning","venue":null,"work_id":"acf4042a-0a3e-46e6-9b9a-a4950203b982","year":2022},"citing_paper":{"arxiv_id":"2606.01443","last_updated":"2026-05-31T20:26:54Z","snapshot_observed_at":"2026-08-07T15:23:37.083052Z","submitted_at":"2026-05-31T20:26:54Z","title":"UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-28T17:15:10.206481Z"},"links":{"cited_paper":"/paper/2203.16262","citing_paper":"/paper/2606.01443"},"observation_digest":"sha256:4e99a57160f17efa092cfb0534652ca68bc28b641399b54aefa9a7dd5737d1d4","observation_id":"bb452708-5d1a-439e-a803-fdb198920d44","resolution":{"observed_at":"2026-07-01T21:16:14.371945Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.16262/citation-record","integrity":"/paper/2203.16262/integrity","json":"/paper/2203.16262/citation-record.json","paper":"/paper/2203.16262"},"outbound":[],"paper":{"arxiv_id":"2203.16262","last_updated":"2022-03-30T12:46:31Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T07:13:53.738850Z","submitted_at":"2022-03-30T12:46:31Z","title":"How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.16262."}