{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","short_pith_number":"pith:NITYVJ5T","canonical_record":{"source":{"id":"2607.18787","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T07:06:46Z","cross_cats_sorted":[],"title_canon_sha256":"874a54bbede2964ead2e4cb98e95b2379557e52338aaa9b7420d270285818825","abstract_canon_sha256":"64bbbe87273da48273c718468d6b2184714e6b5cee004ddbd775621395f26611"},"schema_version":"1.0"},"canonical_sha256":"6a278aa7b30b200e65ee81c479698647994a407c4181ba1af4b8899f542f039c","source":{"kind":"arxiv","id":"2607.18787","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18787","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18787v1","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18787","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_12","alias_value":"NITYVJ5TBMQA","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_16","alias_value":"NITYVJ5TBMQA4ZPO","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_8","alias_value":"NITYVJ5T","created_at":"2026-07-22T01:23:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","target":"record","payload":{"canonical_record":{"source":{"id":"2607.18787","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T07:06:46Z","cross_cats_sorted":[],"title_canon_sha256":"874a54bbede2964ead2e4cb98e95b2379557e52338aaa9b7420d270285818825","abstract_canon_sha256":"64bbbe87273da48273c718468d6b2184714e6b5cee004ddbd775621395f26611"},"schema_version":"1.0"},"canonical_sha256":"6a278aa7b30b200e65ee81c479698647994a407c4181ba1af4b8899f542f039c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-22T01:23:11.835997Z","signature_b64":"8dZIrifdcES8zHydMhZBpPl0RXvWIsEV1tHgBwGHoTg12UlWEMlG30XzUqN1E6r04nXVMaRUX2Irouva6SMoCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a278aa7b30b200e65ee81c479698647994a407c4181ba1af4b8899f542f039c","last_reissued_at":"2026-07-22T01:23:11.835107Z","signature_status":"signed_v1","first_computed_at":"2026-07-22T01:23:11.835107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.18787","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-22T01:23:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"maaWT3GTjFNuf+JZXNikt9YvPiBOA4O2r3sR8GIl4/kNY0Bcd8EsfQHc7CW88GESQSzxqcEw8S3lndwC361KBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:24:19.410557Z"},"content_sha256":"0fd41178cdb4aad9fc58d547c5169b801976d900a34452c681b6986b3bae175f","schema_version":"1.0","event_id":"sha256:0fd41178cdb4aad9fc58d547c5169b801976d900a34452c681b6986b3bae175f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Editing Models are Numerical Solvers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ulysse Mizrahi","submitted_at":"2026-07-21T07:06:46Z","abstract_excerpt":"We investigate whether a pretrained generative image-editing model can provide a common interface for numerical simulation. Physical inputs and solutions are rendered as images, while scalar quantities such as material properties, diffusivity, and loading parameters enter through lightweight adapters. Using established numerical and analytic solvers for supervision, we apply the same architecture and training protocol to heterogeneous elliptic equations, forced heat and Burgers evolution, complex Ginzburg-Landau dynamics, two-dimensional Navier-Stokes prediction, potential flow, elasticity, ei"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18787","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.18787/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-22T01:23:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TugiM1+N72cbJ2sdP4XJmbWCt4fQJK65tmMUfpYwS2QV3BQUdBZ9/MJ8EYvqi3HitY2U9aYK1gJgmw6p8SgkAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:24:19.411051Z"},"content_sha256":"dbd7afca5338ffdfb1295abeef48683d4f36beceabbfeb8e10eca7926a878221","schema_version":"1.0","event_id":"sha256:dbd7afca5338ffdfb1295abeef48683d4f36beceabbfeb8e10eca7926a878221"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.2514/8.3664 resolves to 'Stiffness and Deflection Analysis of Complex Structures'. A reader following the printed text alone cannot reach it.","snippet":"M. J. Turner, R. W. Clough, H. C. Martin, and L. J. Topp. Stiffness and deflection analysis of complex structures.Journal of the Aeronautical Sciences, 23(9):805–823, 1956.https://doi.org/10.2514/8. 3664","arxiv_id":"2607.18787","detector":"doi_compliance","evidence":{"ref_index":60,"verdict_class":"incontrovertible","resolved_title":"Stiffness and Deflection Analysis of Complex Structures","printed_excerpt":"10.2514/8","reconstructed_doi":"10.2514/8.3664"},"severity":"advisory","ref_index":60,"audited_at":"2026-08-01T14:29:46.872154Z","event_type":"pith.integrity.v1","detected_doi":"10.2514/8.3664","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"c11df91bc4beee2d669c1cdc5aa2ca633ca5844fd32ac09636b48a7cd99845aa","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Stiffness and Deflection Analysis of Complex Structures","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15965,"payload_sha256":"cb2d0e9ce56e8383d482dd481f7f3cf81e7a90d11aa89fb725beb0b7ff1f30c1","signature_b64":"jvIR1wmJ7daw104Ejww4wuJ5dkON7bo0hfzGldpxurtjrnK/q/YJ5TJ7qyfxEkURKVJ5980atSEjtvRrVT3MAw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T14:33:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g9Bx8rSsTcWqxX8u0ThiEWq0fIlF2qTlGgSjUi4V+qmM505EMIxDPEwzNy6/g40LVa0Cps8keQZsq7k2PgVYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:24:19.413361Z"},"content_sha256":"d1f93dacdfcbf21069ebda9163e5c0300eb318c9425b1900a859edb70b3f0480","schema_version":"1.0","event_id":"sha256:d1f93dacdfcbf21069ebda9163e5c0300eb318c9425b1900a859edb70b3f0480"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","target":"integrity","payload":{"note":"DOI is split by whitespace or line breaks in the printed bibliography. Reconstructed DOI 10.1016/j.jcp.2018.10.045 resolves to 'Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear'. A reader following the printed text alone cannot reach it.","snippet":"Maziar Raissi, Paris Perdikaris, and George Em Karniadakis. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.Journal of Computational Phy","arxiv_id":"2607.18787","detector":"doi_compliance","evidence":{"ref_index":47,"verdict_class":"incontrovertible","resolved_title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations","printed_excerpt":"10.1016/j.jcp","reconstructed_doi":"10.1016/j.jcp.2018.10.045"},"severity":"advisory","ref_index":47,"audited_at":"2026-08-01T14:29:46.872154Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/j.jcp.2018.10.045","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1b430a31e7a82886ffca3f2667f2cf12e508827c406a584604b6867baf6ce434","paper_version":1,"verdict_class":"incontrovertible","resolved_title":"Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations","detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15964,"payload_sha256":"0886eb012d16744ae23aeddd466f32f4feb1116709befd6f1dc40eca30461146","signature_b64":"L5ScrIlZI9iONuVSqlg4FveVEsewcKtpFNI5yUzFuDvenfQvkMFs1K3089+/IdzEX3ZLCiDgbuWZvId/WNEWDA==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T14:33:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xxhVUbkqm7T4nms50pEjimFpVpnw2xNrzb/th7JCrwJnlNjWovftZgqA1qcBRcbr9cEh8iBwFASq6igRfZTPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T15:24:19.413765Z"},"content_sha256":"d3945682a00bbccf5f1dd21999e01f5a9ddb3bdd89aae2fac1fc654acbb86e4e","schema_version":"1.0","event_id":"sha256:d3945682a00bbccf5f1dd21999e01f5a9ddb3bdd89aae2fac1fc654acbb86e4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/bundle.json","state_url":"https://pith.science/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T15:24:19Z","links":{"resolver":"https://pith.science/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6","bundle":"https://pith.science/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/bundle.json","state":"https://pith.science/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NITYVJ5TBMQA4ZPOQHCHS2MGI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NITYVJ5TBMQA4ZPOQHCHS2MGI6","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"64bbbe87273da48273c718468d6b2184714e6b5cee004ddbd775621395f26611","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T07:06:46Z","title_canon_sha256":"874a54bbede2964ead2e4cb98e95b2379557e52338aaa9b7420d270285818825"},"schema_version":"1.0","source":{"id":"2607.18787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18787","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18787v1","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18787","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_12","alias_value":"NITYVJ5TBMQA","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_16","alias_value":"NITYVJ5TBMQA4ZPO","created_at":"2026-07-22T01:23:11Z"},{"alias_kind":"pith_short_8","alias_value":"NITYVJ5T","created_at":"2026-07-22T01:23:11Z"}],"graph_snapshots":[{"event_id":"sha256:dbd7afca5338ffdfb1295abeef48683d4f36beceabbfeb8e10eca7926a878221","target":"graph","created_at":"2026-07-22T01:23:11Z","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/2607.18787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We investigate whether a pretrained generative image-editing model can provide a common interface for numerical simulation. Physical inputs and solutions are rendered as images, while scalar quantities such as material properties, diffusivity, and loading parameters enter through lightweight adapters. Using established numerical and analytic solvers for supervision, we apply the same architecture and training protocol to heterogeneous elliptic equations, forced heat and Burgers evolution, complex Ginzburg-Landau dynamics, two-dimensional Navier-Stokes prediction, potential flow, elasticity, ei","authors_text":"Ulysse Mizrahi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T07:06:46Z","title":"Image Editing Models are Numerical Solvers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18787","kind":"arxiv","version":1},"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":"sha256:0fd41178cdb4aad9fc58d547c5169b801976d900a34452c681b6986b3bae175f","target":"record","created_at":"2026-07-22T01:23:11Z","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":"64bbbe87273da48273c718468d6b2184714e6b5cee004ddbd775621395f26611","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-21T07:06:46Z","title_canon_sha256":"874a54bbede2964ead2e4cb98e95b2379557e52338aaa9b7420d270285818825"},"schema_version":"1.0","source":{"id":"2607.18787","kind":"arxiv","version":1}},"canonical_sha256":"6a278aa7b30b200e65ee81c479698647994a407c4181ba1af4b8899f542f039c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a278aa7b30b200e65ee81c479698647994a407c4181ba1af4b8899f542f039c","first_computed_at":"2026-07-22T01:23:11.835107Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T01:23:11.835107Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8dZIrifdcES8zHydMhZBpPl0RXvWIsEV1tHgBwGHoTg12UlWEMlG30XzUqN1E6r04nXVMaRUX2Irouva6SMoCA==","signature_status":"signed_v1","signed_at":"2026-07-22T01:23:11.835997Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18787","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:d1f93dacdfcbf21069ebda9163e5c0300eb318c9425b1900a859edb70b3f0480","sha256:d3945682a00bbccf5f1dd21999e01f5a9ddb3bdd89aae2fac1fc654acbb86e4e"]}],"invalid_events":[],"applied_event_ids":["sha256:0fd41178cdb4aad9fc58d547c5169b801976d900a34452c681b6986b3bae175f","sha256:dbd7afca5338ffdfb1295abeef48683d4f36beceabbfeb8e10eca7926a878221"],"state_sha256":"b50452616b986e14f73fcc3f1cf1abd3e99b9a7d23fe4a318ff7f5aef0636758"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I+xljwWtS5mEOnhhEeonkQ8PwCcWpD3I1djRiQGIubJBvgovc7TR8UOYV7Im3R2zvM37n18Tz4VzZDKK7I+iAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T15:24:19.416248Z","bundle_sha256":"21dc30202f92be7c681c143154233ab90dcc2e970e713f99cb6b7a835ce96993"}}