{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HB4MZRMM4UOZVF4YBZZBH5VGG6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0458e1a349e62bbacbdd4b02f6c8f1589b98c630a7d3b168fd3c81beb2b38094","cross_cats_sorted":["cs.NA","math.NA","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-29T17:32:22Z","title_canon_sha256":"f92a740c8587edc56b5500cdf9e0dfcfe8f1e5ec556557cfedf43446f2655c0d"},"schema_version":"1.0","source":{"id":"2401.16327","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.16327","created_at":"2026-07-05T09:11:12Z"},{"alias_kind":"arxiv_version","alias_value":"2401.16327v4","created_at":"2026-07-05T09:11:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16327","created_at":"2026-07-05T09:11:12Z"},{"alias_kind":"pith_short_12","alias_value":"HB4MZRMM4UOZ","created_at":"2026-07-05T09:11:12Z"},{"alias_kind":"pith_short_16","alias_value":"HB4MZRMM4UOZVF4Y","created_at":"2026-07-05T09:11:12Z"},{"alias_kind":"pith_short_8","alias_value":"HB4MZRMM","created_at":"2026-07-05T09:11:12Z"}],"graph_snapshots":[{"event_id":"sha256:b79e6ba5630dabeca3949a2b40ef379f06eca410842b30d4e0832ea338dcdf2c","target":"graph","created_at":"2026-07-05T09:11:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2401.16327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural operators have recently grown in popularity as Partial Differential Equation (PDE) surrogate models. Learning solution functionals, rather than functions, has proven to be a powerful approach to calculate fast, accurate solutions to complex PDEs. While much work has been done evaluating neural operator performance on a wide variety of surrogate modeling tasks, these works normally evaluate performance on a single equation at a time. In this work, we develop a novel contrastive pretraining framework utilizing Generalized Contrastive Loss that improves neural operator generalization acros","authors_text":"Amir Barati Farimani, Cooper Lorsung","cross_cats":["cs.NA","math.NA","physics.comp-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-29T17:32:22Z","title":"PICL: Physics Informed Contrastive Learning for Partial Differential Equations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16327","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:11d249cc419d207da19a27d364ea2fa453821fbd838315d3b7456e144e3504df","target":"record","created_at":"2026-07-05T09:11:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0458e1a349e62bbacbdd4b02f6c8f1589b98c630a7d3b168fd3c81beb2b38094","cross_cats_sorted":["cs.NA","math.NA","physics.comp-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-01-29T17:32:22Z","title_canon_sha256":"f92a740c8587edc56b5500cdf9e0dfcfe8f1e5ec556557cfedf43446f2655c0d"},"schema_version":"1.0","source":{"id":"2401.16327","kind":"arxiv","version":4}},"canonical_sha256":"3878ccc58ce51d9a97980e7213f6a637864b73246ed7701ccd869362f70f444c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3878ccc58ce51d9a97980e7213f6a637864b73246ed7701ccd869362f70f444c","first_computed_at":"2026-07-05T09:11:12.806592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:11:12.806592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hq4gD914g2/7Jayv3gdZ8BKMF1PlxlU2WbMEOsMKztXd1t5YPP/VRUiI0+7QgucFBqSQYzdamnw108sRkka6Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:11:12.807106Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.16327","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11d249cc419d207da19a27d364ea2fa453821fbd838315d3b7456e144e3504df","sha256:b79e6ba5630dabeca3949a2b40ef379f06eca410842b30d4e0832ea338dcdf2c"],"state_sha256":"7e96ca0948132767a40916a3236263a0acbf5f2b3fd14a8f941c34a55a0d78b7"}