{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EJ5Z44DI7D3MGABLTUCFYYJWOQ","short_pith_number":"pith:EJ5Z44DI","canonical_record":{"source":{"id":"2311.07548","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-13T18:37:07Z","cross_cats_sorted":["physics.comp-ph","physics.flu-dyn"],"title_canon_sha256":"d6297a5a49822b475cc0c87ba4228eb364257aff478a94a171164643d1de5253","abstract_canon_sha256":"da55549f14e8e43b8c42acf21a368647c972af9a945077c3b3be9fa4b8d5c537"},"schema_version":"1.0"},"canonical_sha256":"227b9e7068f8f6c3002b9d045c6136743f6f82e3b1f9e51ba55344b89b8dbfb8","source":{"kind":"arxiv","id":"2311.07548","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07548","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07548v4","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07548","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_12","alias_value":"EJ5Z44DI7D3M","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_16","alias_value":"EJ5Z44DI7D3MGABL","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_8","alias_value":"EJ5Z44DI","created_at":"2026-07-05T09:24:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EJ5Z44DI7D3MGABLTUCFYYJWOQ","target":"record","payload":{"canonical_record":{"source":{"id":"2311.07548","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-13T18:37:07Z","cross_cats_sorted":["physics.comp-ph","physics.flu-dyn"],"title_canon_sha256":"d6297a5a49822b475cc0c87ba4228eb364257aff478a94a171164643d1de5253","abstract_canon_sha256":"da55549f14e8e43b8c42acf21a368647c972af9a945077c3b3be9fa4b8d5c537"},"schema_version":"1.0"},"canonical_sha256":"227b9e7068f8f6c3002b9d045c6136743f6f82e3b1f9e51ba55344b89b8dbfb8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:24:55.105391Z","signature_b64":"c04g8lf50yS8OiTtdaAjyVQk7ANOp3GpYKzinitTC+cxDa24CFUQgZVzJvbgSYpteEebdcS3ehgjCY6Lw/XpCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"227b9e7068f8f6c3002b9d045c6136743f6f82e3b1f9e51ba55344b89b8dbfb8","last_reissued_at":"2026-07-05T09:24:55.105040Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:24:55.105040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.07548","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:24:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ulIwx7btJ9Z68uS0W3w60W2+N9XLWb1TyrDFptemNjiOWsTMctWhDCrvGMfUu6PByLOykY5GLdKXqk/ap3d5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:12:11.314796Z"},"content_sha256":"47a59c316208a376cedbf3abeeaef35ef19dea35701c500d3716ba51bc6dec08","schema_version":"1.0","event_id":"sha256:47a59c316208a376cedbf3abeeaef35ef19dea35701c500d3716ba51bc6dec08"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EJ5Z44DI7D3MGABLTUCFYYJWOQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph","physics.flu-dyn"],"primary_cat":"cs.LG","authors_text":"Hojin Kim, Romit Maulik, Shivam Barwey","submitted_at":"2023-11-13T18:37:07Z","abstract_excerpt":"Data-driven surrogate modeling has surged in capability in recent years with the emergence of graph neural networks (GNNs), which can operate directly on mesh-based representations of data. The goal of this work is to introduce an interpretability enhancement procedure for GNNs, with application to unstructured mesh-based fluid dynamics modeling. Given a black-box baseline GNN model, the end result is an interpretable GNN model that isolates regions in physical space, corresponding to sub-graphs, that are intrinsically linked to the forecasting task while retaining the predictive capability of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07548","kind":"arxiv","version":4},"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/2311.07548/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":"2026-07-05T09:24:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CW+dMkQQecGVzHmiBr98AsArSOJe5zODQrKc3g89HfLW43rE6zue058zMASikT6GeUrfQqRkEFokcVIQKsJ5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:12:11.315325Z"},"content_sha256":"ac10b530fc10771cfc47c3afed361cedda0b76e9402f1eb2e7dc85130c2ab914","schema_version":"1.0","event_id":"sha256:ac10b530fc10771cfc47c3afed361cedda0b76e9402f1eb2e7dc85130c2ab914"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/bundle.json","state_url":"https://pith.science/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/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":"2026-08-05T21:12:11Z","links":{"resolver":"https://pith.science/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ","bundle":"https://pith.science/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/bundle.json","state":"https://pith.science/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EJ5Z44DI7D3MGABLTUCFYYJWOQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EJ5Z44DI7D3MGABLTUCFYYJWOQ","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":"da55549f14e8e43b8c42acf21a368647c972af9a945077c3b3be9fa4b8d5c537","cross_cats_sorted":["physics.comp-ph","physics.flu-dyn"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-13T18:37:07Z","title_canon_sha256":"d6297a5a49822b475cc0c87ba4228eb364257aff478a94a171164643d1de5253"},"schema_version":"1.0","source":{"id":"2311.07548","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07548","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07548v4","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07548","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_12","alias_value":"EJ5Z44DI7D3M","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_16","alias_value":"EJ5Z44DI7D3MGABL","created_at":"2026-07-05T09:24:55Z"},{"alias_kind":"pith_short_8","alias_value":"EJ5Z44DI","created_at":"2026-07-05T09:24:55Z"}],"graph_snapshots":[{"event_id":"sha256:ac10b530fc10771cfc47c3afed361cedda0b76e9402f1eb2e7dc85130c2ab914","target":"graph","created_at":"2026-07-05T09:24:55Z","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/2311.07548/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data-driven surrogate modeling has surged in capability in recent years with the emergence of graph neural networks (GNNs), which can operate directly on mesh-based representations of data. The goal of this work is to introduce an interpretability enhancement procedure for GNNs, with application to unstructured mesh-based fluid dynamics modeling. Given a black-box baseline GNN model, the end result is an interpretable GNN model that isolates regions in physical space, corresponding to sub-graphs, that are intrinsically linked to the forecasting task while retaining the predictive capability of","authors_text":"Hojin Kim, Romit Maulik, Shivam Barwey","cross_cats":["physics.comp-ph","physics.flu-dyn"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-13T18:37:07Z","title":"Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07548","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":"sha256:47a59c316208a376cedbf3abeeaef35ef19dea35701c500d3716ba51bc6dec08","target":"record","created_at":"2026-07-05T09:24:55Z","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":"da55549f14e8e43b8c42acf21a368647c972af9a945077c3b3be9fa4b8d5c537","cross_cats_sorted":["physics.comp-ph","physics.flu-dyn"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-11-13T18:37:07Z","title_canon_sha256":"d6297a5a49822b475cc0c87ba4228eb364257aff478a94a171164643d1de5253"},"schema_version":"1.0","source":{"id":"2311.07548","kind":"arxiv","version":4}},"canonical_sha256":"227b9e7068f8f6c3002b9d045c6136743f6f82e3b1f9e51ba55344b89b8dbfb8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"227b9e7068f8f6c3002b9d045c6136743f6f82e3b1f9e51ba55344b89b8dbfb8","first_computed_at":"2026-07-05T09:24:55.105040Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:24:55.105040Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c04g8lf50yS8OiTtdaAjyVQk7ANOp3GpYKzinitTC+cxDa24CFUQgZVzJvbgSYpteEebdcS3ehgjCY6Lw/XpCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:24:55.105391Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.07548","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47a59c316208a376cedbf3abeeaef35ef19dea35701c500d3716ba51bc6dec08","sha256:ac10b530fc10771cfc47c3afed361cedda0b76e9402f1eb2e7dc85130c2ab914"],"state_sha256":"6f391f4f3d820dde32bb3988eaa3c6a555a3e1c1f4d45dfcbd1efb0d5dc686de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PmrRp02jOYdTP33h5sRb7+iec5SNg4JWyZMWQSpB39LqKwMNoukmdmByPtfy5K8N3p0hSLex7po5E2EOxJF4BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:12:11.320117Z","bundle_sha256":"bfab31a8fce4a1643a7ea51675192608a09c5f81762cb72ad043578d12345579"}}