{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ED5Q43USR7C6UJQD3M4EILSB2S","short_pith_number":"pith:ED5Q43US","canonical_record":{"source":{"id":"2503.13581","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-03-17T17:17:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9b63dafe4ecee5fc43c2a92b048d9499122b04fa4b0224b85bbfae4f14c9f7f9","abstract_canon_sha256":"40405f8d2d061e12fb2880ae108f9bdb4c99b2f64b3f5351e12396d90560f721"},"schema_version":"1.0"},"canonical_sha256":"20fb0e6e928fc5ea2603db38442e41d496884c14645a32a66e5d104e09edceab","source":{"kind":"arxiv","id":"2503.13581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.13581","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"arxiv_version","alias_value":"2503.13581v1","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.13581","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_12","alias_value":"ED5Q43USR7C6","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_16","alias_value":"ED5Q43USR7C6UJQD","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_8","alias_value":"ED5Q43US","created_at":"2026-07-05T10:33:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ED5Q43USR7C6UJQD3M4EILSB2S","target":"record","payload":{"canonical_record":{"source":{"id":"2503.13581","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-03-17T17:17:36Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9b63dafe4ecee5fc43c2a92b048d9499122b04fa4b0224b85bbfae4f14c9f7f9","abstract_canon_sha256":"40405f8d2d061e12fb2880ae108f9bdb4c99b2f64b3f5351e12396d90560f721"},"schema_version":"1.0"},"canonical_sha256":"20fb0e6e928fc5ea2603db38442e41d496884c14645a32a66e5d104e09edceab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:13.486688Z","signature_b64":"pSnmJKnDhYcjSEhOSYAoMUlZ9MBFvvLjsKgu6C9DeEVv7r3ixp4IAnsHy62vUMJTSIkM6KFY8fJGrYpmDJlUDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"20fb0e6e928fc5ea2603db38442e41d496884c14645a32a66e5d104e09edceab","last_reissued_at":"2026-07-05T10:33:13.486192Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:13.486192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.13581","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":"2026-07-05T10:33:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpht7wS806R+LU+RHyRK8g4mVHhtHwoPERpJld+ST8Oga6S2B9mQdaxUIcVIGajlBfFJn9Ak/poBe7vV9NoUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:18:09.704820Z"},"content_sha256":"d87023f1c5f2712819b1cd3a792a3babf098b0a889131722a64b33b516084181","schema_version":"1.0","event_id":"sha256:d87023f1c5f2712819b1cd3a792a3babf098b0a889131722a64b33b516084181"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ED5Q43USR7C6UJQD3M4EILSB2S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Aawez Mansuri, Ambika Seth, Beatrice Brown-Mulry, Bhavna Paryani, Christian Allison Fauria-Robinson, Frank Li, Hari Trivedi, Judy Wawira Gichoya, KyungJee Min, Minjae Woo, Rohan Satya Isaac, Sang Hyup Lee, Theo Dapamede","submitted_at":"2025-03-17T17:17:36Z","abstract_excerpt":"While research has established the potential of AI models for mammography to improve breast cancer screening outcomes, there have not been any detailed subgroup evaluations performed to assess the strengths and weaknesses of commercial models for digital breast tomosynthesis (DBT) imaging. This study presents a granular evaluation of the Lunit INSIGHT DBT model on a large retrospective cohort of 163,449 screening mammography exams from the Emory Breast Imaging Dataset (EMBED). Model performance was evaluated in a binary context with various negative exam types (162,081 exams) compared against "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.13581","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/2503.13581/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":"2026-07-05T10:33:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"weqpnnge+W0hi9ckSreLRO7CG9zAlio7O8aQBZCJylyLFt1qFMPfP33rlRLSFvwyLhnAg0UCav6cJ8wJbzxDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T04:18:09.705192Z"},"content_sha256":"4bce853530aaa45bc8f9b38e950b0ed23bc4d4426a9a8e9dbb6f05743e3b4542","schema_version":"1.0","event_id":"sha256:4bce853530aaa45bc8f9b38e950b0ed23bc4d4426a9a8e9dbb6f05743e3b4542"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ED5Q43USR7C6UJQD3M4EILSB2S/bundle.json","state_url":"https://pith.science/pith/ED5Q43USR7C6UJQD3M4EILSB2S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ED5Q43USR7C6UJQD3M4EILSB2S/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":"2026-07-07T04:18:09Z","links":{"resolver":"https://pith.science/pith/ED5Q43USR7C6UJQD3M4EILSB2S","bundle":"https://pith.science/pith/ED5Q43USR7C6UJQD3M4EILSB2S/bundle.json","state":"https://pith.science/pith/ED5Q43USR7C6UJQD3M4EILSB2S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ED5Q43USR7C6UJQD3M4EILSB2S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ED5Q43USR7C6UJQD3M4EILSB2S","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":"40405f8d2d061e12fb2880ae108f9bdb4c99b2f64b3f5351e12396d90560f721","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-03-17T17:17:36Z","title_canon_sha256":"9b63dafe4ecee5fc43c2a92b048d9499122b04fa4b0224b85bbfae4f14c9f7f9"},"schema_version":"1.0","source":{"id":"2503.13581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.13581","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"arxiv_version","alias_value":"2503.13581v1","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.13581","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_12","alias_value":"ED5Q43USR7C6","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_16","alias_value":"ED5Q43USR7C6UJQD","created_at":"2026-07-05T10:33:13Z"},{"alias_kind":"pith_short_8","alias_value":"ED5Q43US","created_at":"2026-07-05T10:33:13Z"}],"graph_snapshots":[{"event_id":"sha256:4bce853530aaa45bc8f9b38e950b0ed23bc4d4426a9a8e9dbb6f05743e3b4542","target":"graph","created_at":"2026-07-05T10:33:13Z","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/2503.13581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While research has established the potential of AI models for mammography to improve breast cancer screening outcomes, there have not been any detailed subgroup evaluations performed to assess the strengths and weaknesses of commercial models for digital breast tomosynthesis (DBT) imaging. This study presents a granular evaluation of the Lunit INSIGHT DBT model on a large retrospective cohort of 163,449 screening mammography exams from the Emory Breast Imaging Dataset (EMBED). Model performance was evaluated in a binary context with various negative exam types (162,081 exams) compared against ","authors_text":"Aawez Mansuri, Ambika Seth, Beatrice Brown-Mulry, Bhavna Paryani, Christian Allison Fauria-Robinson, Frank Li, Hari Trivedi, Judy Wawira Gichoya, KyungJee Min, Minjae Woo, Rohan Satya Isaac, Sang Hyup Lee, Theo Dapamede","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-03-17T17:17:36Z","title":"Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.13581","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:d87023f1c5f2712819b1cd3a792a3babf098b0a889131722a64b33b516084181","target":"record","created_at":"2026-07-05T10:33:13Z","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":"40405f8d2d061e12fb2880ae108f9bdb4c99b2f64b3f5351e12396d90560f721","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-03-17T17:17:36Z","title_canon_sha256":"9b63dafe4ecee5fc43c2a92b048d9499122b04fa4b0224b85bbfae4f14c9f7f9"},"schema_version":"1.0","source":{"id":"2503.13581","kind":"arxiv","version":1}},"canonical_sha256":"20fb0e6e928fc5ea2603db38442e41d496884c14645a32a66e5d104e09edceab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"20fb0e6e928fc5ea2603db38442e41d496884c14645a32a66e5d104e09edceab","first_computed_at":"2026-07-05T10:33:13.486192Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:33:13.486192Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pSnmJKnDhYcjSEhOSYAoMUlZ9MBFvvLjsKgu6C9DeEVv7r3ixp4IAnsHy62vUMJTSIkM6KFY8fJGrYpmDJlUDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:33:13.486688Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.13581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d87023f1c5f2712819b1cd3a792a3babf098b0a889131722a64b33b516084181","sha256:4bce853530aaa45bc8f9b38e950b0ed23bc4d4426a9a8e9dbb6f05743e3b4542"],"state_sha256":"42344edb73ed4e58575f8a89228f21d4ca6bce6a2082872b8fa936922805b9dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3KZ8DDMXPhZd9vZWMHsRsvL/15NfTjtD2p0vAk4mNut1ZsXFHttti2fsuNblYbp4Rph1S6KZ+M3SrDphvhqUBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T04:18:09.707295Z","bundle_sha256":"4414834378ea79ff19a2d03fba6ead0a22c716ccb9ff08354598a749cc26eaa4"}}