{"as_of":"2026-08-17T21:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:20c30d00be484b884dc86d8f03ee7bd67a0448256b81f976cb3ea26f0a3c19e7","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":"2026-08-17T06:30:58.91139+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":"2026-08-16T11:03:35.405111Z","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":"2026-08-07T14:36:18.941351Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.10150","last_updated":"2024-02-15T17:57:54Z","snapshot_observed_at":"2026-08-17T18:51:00.576890Z","submitted_at":"2024-02-15T17:57:54Z","title":"$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10150","snapshot_observed_at":"2026-08-16T11:03:35.405111Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.16667","last_updated":"2025-04-23T12:35:27Z","snapshot_observed_at":"2026-08-16T23:12:07.756971Z","submitted_at":"2025-04-23T12:35:27Z","title":"Representation Learning via Non-Contrastive Mutual Information","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:03:35.405111Z"},"links":{"cited_paper":"/paper/2402.10150","citing_paper":"/paper/2504.16667"},"observation_digest":"sha256:da79fa03f0013acfd7d6dbb62fef02dab7c9db4f2c17e432d8d1b6d5ed37020b","observation_id":"4302abf5-eeb4-4b38-946b-6b2e64b7c427","resolution":{"observed_at":"2026-08-16T11:03:35.405111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10150","last_updated":"2024-02-15T17:57:54Z","snapshot_observed_at":"2026-08-17T18:51:00.576890Z","submitted_at":"2024-02-15T17:57:54Z","title":"$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning","version":1},"cited_work":{"arxiv_id":"2402.10150","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.10150","snapshot_observed_at":"2026-08-07T14:36:18.941351Z","title":"$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning","venue":"cs.LG","work_id":"7e06619b-19f8-43a8-b9a3-186e76768142","year":2024},"citing_paper":{"arxiv_id":"2505.18671","last_updated":"2025-05-24T12:18:19Z","snapshot_observed_at":"2026-08-15T09:59:50.947630Z","submitted_at":"2025-05-24T12:18:19Z","title":"Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T14:36:14.149987Z"},"links":{"cited_paper":"/paper/2402.10150","citing_paper":"/paper/2505.18671"},"observation_digest":"sha256:96750685562fbc1a70af5e682812ec5a0a46158ed6e5655df7cbdc347b557cb4","observation_id":"e0e87d0e-2e7f-4675-bd16-2b9661437c51","resolution":{"observed_at":"2026-08-07T14:36:19.060279Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.10150/citation-record","integrity":"/paper/2402.10150/integrity","json":"/paper/2402.10150/citation-record.json","paper":"/paper/2402.10150"},"outbound":[],"paper":{"arxiv_id":"2402.10150","last_updated":"2024-02-15T17:57:54Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T18:51:00.576890Z","submitted_at":"2024-02-15T17:57:54Z","title":"$f$-MICL: Understanding and Generalizing InfoNCE-based 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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10150."}