{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YT3N2D3BQ27RDRFNAREHTXHICO","short_pith_number":"pith:YT3N2D3B","canonical_record":{"source":{"id":"2407.15756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T16:06:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77e27aac9288ecf06793762dcb806988e6247507dc2f6ff90b54697eb5c9afd8","abstract_canon_sha256":"a4d5b5716973dc652025d4c4ef939fe2b24b475f1d8e62316fd93a1dcb42ca89"},"schema_version":"1.0"},"canonical_sha256":"c4f6dd0f6186bf11c4ad044879dce81381923351a832578bda77cca92b18f998","source":{"kind":"arxiv","id":"2407.15756","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15756","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15756v1","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15756","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_12","alias_value":"YT3N2D3BQ27R","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_16","alias_value":"YT3N2D3BQ27RDRFN","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_8","alias_value":"YT3N2D3B","created_at":"2026-07-05T08:47:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YT3N2D3BQ27RDRFNAREHTXHICO","target":"record","payload":{"canonical_record":{"source":{"id":"2407.15756","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T16:06:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"77e27aac9288ecf06793762dcb806988e6247507dc2f6ff90b54697eb5c9afd8","abstract_canon_sha256":"a4d5b5716973dc652025d4c4ef939fe2b24b475f1d8e62316fd93a1dcb42ca89"},"schema_version":"1.0"},"canonical_sha256":"c4f6dd0f6186bf11c4ad044879dce81381923351a832578bda77cca92b18f998","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:00.800899Z","signature_b64":"Nqtj+bRp50NFHjsKSA9sP5lGbe8DrvC+R96w7oCNpAbrYcs/JurXwQejFEH8AeZsJndqi1fq3JMP/pn2vaAgDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4f6dd0f6186bf11c4ad044879dce81381923351a832578bda77cca92b18f998","last_reissued_at":"2026-07-05T08:47:00.800374Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:00.800374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.15756","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":"2026-07-05T08:47:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Bir741fyG8btejtvZXnDg0N4jKJe+Gk+OF5WWcYZS1l78CNl0dA/A64GLMVXbfZFmtLH53/a5dOMUsuem0vCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:35:49.438002Z"},"content_sha256":"5719736722b4c590f2b3786b1209e36fab07efde161d4ff945626b3a88ec8366","schema_version":"1.0","event_id":"sha256:5719736722b4c590f2b3786b1209e36fab07efde161d4ff945626b3a88ec8366"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YT3N2D3BQ27RDRFNAREHTXHICO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model editing for distribution shifts in uranium oxide morphological analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Cody Nizinski, Corey Fallon, Davis Brown, Henry Kvinge, Jonathan H. Tu, Madelyn Shapiro, Tianzhixi Yin","submitted_at":"2024-07-22T16:06:51Z","abstract_excerpt":"Deep learning still struggles with certain kinds of scientific data. Notably, pretraining data may not provide coverage of relevant distribution shifts (e.g., shifts induced via the use of different measurement instruments). We consider deep learning models trained to classify the synthesis conditions of uranium ore concentrates (UOCs) and show that model editing is particularly effective for improving generalization to distribution shifts common in this domain. In particular, model editing outperforms finetuning on two curated datasets comprising of micrographs taken of U$_{3}$O$_{8}$ aged in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15756","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/2407.15756/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":"2026-07-05T08:47:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ot4b7sqnQwo+39hr+T55CPD3Vv3Jq1t88xeqBnqtOy4Xyvb7xek5k+Jldvf0KkIcfUYsLefSPJOeHBZId+sDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T10:35:49.438542Z"},"content_sha256":"eb03e2ea867e5a34226fb91643f1c965fa9b6c96c033e83cda5a03bb8f984fa0","schema_version":"1.0","event_id":"sha256:eb03e2ea867e5a34226fb91643f1c965fa9b6c96c033e83cda5a03bb8f984fa0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YT3N2D3BQ27RDRFNAREHTXHICO/bundle.json","state_url":"https://pith.science/pith/YT3N2D3BQ27RDRFNAREHTXHICO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YT3N2D3BQ27RDRFNAREHTXHICO/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":"2026-08-11T10:35:49Z","links":{"resolver":"https://pith.science/pith/YT3N2D3BQ27RDRFNAREHTXHICO","bundle":"https://pith.science/pith/YT3N2D3BQ27RDRFNAREHTXHICO/bundle.json","state":"https://pith.science/pith/YT3N2D3BQ27RDRFNAREHTXHICO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YT3N2D3BQ27RDRFNAREHTXHICO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YT3N2D3BQ27RDRFNAREHTXHICO","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":"a4d5b5716973dc652025d4c4ef939fe2b24b475f1d8e62316fd93a1dcb42ca89","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T16:06:51Z","title_canon_sha256":"77e27aac9288ecf06793762dcb806988e6247507dc2f6ff90b54697eb5c9afd8"},"schema_version":"1.0","source":{"id":"2407.15756","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15756","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15756v1","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15756","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_12","alias_value":"YT3N2D3BQ27R","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_16","alias_value":"YT3N2D3BQ27RDRFN","created_at":"2026-07-05T08:47:00Z"},{"alias_kind":"pith_short_8","alias_value":"YT3N2D3B","created_at":"2026-07-05T08:47:00Z"}],"graph_snapshots":[{"event_id":"sha256:eb03e2ea867e5a34226fb91643f1c965fa9b6c96c033e83cda5a03bb8f984fa0","target":"graph","created_at":"2026-07-05T08:47:00Z","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/2407.15756/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning still struggles with certain kinds of scientific data. Notably, pretraining data may not provide coverage of relevant distribution shifts (e.g., shifts induced via the use of different measurement instruments). We consider deep learning models trained to classify the synthesis conditions of uranium ore concentrates (UOCs) and show that model editing is particularly effective for improving generalization to distribution shifts common in this domain. In particular, model editing outperforms finetuning on two curated datasets comprising of micrographs taken of U$_{3}$O$_{8}$ aged in","authors_text":"Cody Nizinski, Corey Fallon, Davis Brown, Henry Kvinge, Jonathan H. Tu, Madelyn Shapiro, Tianzhixi Yin","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T16:06:51Z","title":"Model editing for distribution shifts in uranium oxide morphological analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15756","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":"sha256:5719736722b4c590f2b3786b1209e36fab07efde161d4ff945626b3a88ec8366","target":"record","created_at":"2026-07-05T08:47:00Z","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":"a4d5b5716973dc652025d4c4ef939fe2b24b475f1d8e62316fd93a1dcb42ca89","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-22T16:06:51Z","title_canon_sha256":"77e27aac9288ecf06793762dcb806988e6247507dc2f6ff90b54697eb5c9afd8"},"schema_version":"1.0","source":{"id":"2407.15756","kind":"arxiv","version":1}},"canonical_sha256":"c4f6dd0f6186bf11c4ad044879dce81381923351a832578bda77cca92b18f998","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4f6dd0f6186bf11c4ad044879dce81381923351a832578bda77cca92b18f998","first_computed_at":"2026-07-05T08:47:00.800374Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:00.800374Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nqtj+bRp50NFHjsKSA9sP5lGbe8DrvC+R96w7oCNpAbrYcs/JurXwQejFEH8AeZsJndqi1fq3JMP/pn2vaAgDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:00.800899Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15756","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5719736722b4c590f2b3786b1209e36fab07efde161d4ff945626b3a88ec8366","sha256:eb03e2ea867e5a34226fb91643f1c965fa9b6c96c033e83cda5a03bb8f984fa0"],"state_sha256":"45b4e5915dc06e6b45998f1cbc9a123b98ad05e666525b81a8ae9e35728f59c2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"stXX206xEZn1TYchFpriW2uEqn9k20ZUaBJIr7eidcbZym8mSMukOzAjObZ/i6jFhRhheztSJU+SyQximDTzDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T10:35:49.443797Z","bundle_sha256":"acc7a5c3e68c5c0bb62bd53bfdfa6554971c2e4ae2c9f5ec035a0a8f2c28f97b"}}