{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4GNF5ZQMSKSJNFUOGKA2LYYMHG","short_pith_number":"pith:4GNF5ZQM","canonical_record":{"source":{"id":"2412.01590","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T15:07:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"126b4668de69c4cfeaf009a8d75aaea94977383a87854b92e0dd1adf940ade16","abstract_canon_sha256":"312e6e1662d0ec0706a9cfad7511f12f4bb7e752daaba827b07011b56283a800"},"schema_version":"1.0"},"canonical_sha256":"e19a5ee60c92a496968e3281a5e30c39aa90bd4c855fd1abc2c84fab495401d0","source":{"kind":"arxiv","id":"2412.01590","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01590","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01590v1","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01590","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_12","alias_value":"4GNF5ZQMSKSJ","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_16","alias_value":"4GNF5ZQMSKSJNFUO","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_8","alias_value":"4GNF5ZQM","created_at":"2026-07-05T09:43:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4GNF5ZQMSKSJNFUOGKA2LYYMHG","target":"record","payload":{"canonical_record":{"source":{"id":"2412.01590","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T15:07:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"126b4668de69c4cfeaf009a8d75aaea94977383a87854b92e0dd1adf940ade16","abstract_canon_sha256":"312e6e1662d0ec0706a9cfad7511f12f4bb7e752daaba827b07011b56283a800"},"schema_version":"1.0"},"canonical_sha256":"e19a5ee60c92a496968e3281a5e30c39aa90bd4c855fd1abc2c84fab495401d0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:15.746927Z","signature_b64":"K1FwUTfauUpXV8B2G5gy5Ba9ahDeQRgnXHvd2rdSsgyt4tOJnS1Ja/sYOSn5L/6N23SwHzNFAl8AiEhlAHrsCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e19a5ee60c92a496968e3281a5e30c39aa90bd4c855fd1abc2c84fab495401d0","last_reissued_at":"2026-07-05T09:43:15.746424Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:15.746424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.01590","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":"2026-07-05T09:43:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LKGlcJJUVn1z6g7rtQgQHnh6Gt2vamSxbfMscyckSpQgJRL7+nPpRUlTLzmHzhu5N/ZM3kxi5Q9QOHYSpFkoDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:05:31.863843Z"},"content_sha256":"be547423ae570f8181a495c65866bd39ef873cefaa22351239cdaf34105afe7e","schema_version":"1.0","event_id":"sha256:be547423ae570f8181a495c65866bd39ef873cefaa22351239cdaf34105afe7e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4GNF5ZQMSKSJNFUOGKA2LYYMHG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Angus Watson, Anh Nguyen, Binod Bhattarai, Danail Stoyanov, Prashnna Gyawali, Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Yash Raj Shrestha","submitted_at":"2024-12-02T15:07:55Z","abstract_excerpt":"The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challenge, however, is these tools' tendency to make overconfident predictions, even when encountering unseen or newly emerging disease patterns, undermining their reliability.\n  We address this critical issue of reliability by framing it as an out-of-distribution (OOD) detection problem, where previously unseen and emerging diseases are identified as OOD examples. However, gastrointestinal images pose a unique challenge d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01590","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/2412.01590/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":"2026-07-05T09:43:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y1hWwgxYsSekRdoFJuxJ5ugwgH2GRLGGpdiVERyZoW0qU1GU8Dub4m9oZ8TFFCybtQz/F0owrvrmfaZFmPXIDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:05:31.864789Z"},"content_sha256":"9f48050ff54856c032ba6f3d9ff98ec6b911743f5bc30254909fadf93a98dea8","schema_version":"1.0","event_id":"sha256:9f48050ff54856c032ba6f3d9ff98ec6b911743f5bc30254909fadf93a98dea8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/bundle.json","state_url":"https://pith.science/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/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":"2026-08-18T17:05:31Z","links":{"resolver":"https://pith.science/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG","bundle":"https://pith.science/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/bundle.json","state":"https://pith.science/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4GNF5ZQMSKSJNFUOGKA2LYYMHG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4GNF5ZQMSKSJNFUOGKA2LYYMHG","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":"312e6e1662d0ec0706a9cfad7511f12f4bb7e752daaba827b07011b56283a800","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T15:07:55Z","title_canon_sha256":"126b4668de69c4cfeaf009a8d75aaea94977383a87854b92e0dd1adf940ade16"},"schema_version":"1.0","source":{"id":"2412.01590","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.01590","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"arxiv_version","alias_value":"2412.01590v1","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.01590","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_12","alias_value":"4GNF5ZQMSKSJ","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_16","alias_value":"4GNF5ZQMSKSJNFUO","created_at":"2026-07-05T09:43:15Z"},{"alias_kind":"pith_short_8","alias_value":"4GNF5ZQM","created_at":"2026-07-05T09:43:15Z"}],"graph_snapshots":[{"event_id":"sha256:9f48050ff54856c032ba6f3d9ff98ec6b911743f5bc30254909fadf93a98dea8","target":"graph","created_at":"2026-07-05T09:43:15Z","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/2412.01590/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challenge, however, is these tools' tendency to make overconfident predictions, even when encountering unseen or newly emerging disease patterns, undermining their reliability.\n  We address this critical issue of reliability by framing it as an out-of-distribution (OOD) detection problem, where previously unseen and emerging diseases are identified as OOD examples. However, gastrointestinal images pose a unique challenge d","authors_text":"Angus Watson, Anh Nguyen, Binod Bhattarai, Danail Stoyanov, Prashnna Gyawali, Sandesh Pokhrel, Sanjay Bhandari, Sharib Ali, Tryphon Lambrou, Yash Raj Shrestha","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T15:07:55Z","title":"NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.01590","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:be547423ae570f8181a495c65866bd39ef873cefaa22351239cdaf34105afe7e","target":"record","created_at":"2026-07-05T09:43:15Z","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":"312e6e1662d0ec0706a9cfad7511f12f4bb7e752daaba827b07011b56283a800","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-02T15:07:55Z","title_canon_sha256":"126b4668de69c4cfeaf009a8d75aaea94977383a87854b92e0dd1adf940ade16"},"schema_version":"1.0","source":{"id":"2412.01590","kind":"arxiv","version":1}},"canonical_sha256":"e19a5ee60c92a496968e3281a5e30c39aa90bd4c855fd1abc2c84fab495401d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e19a5ee60c92a496968e3281a5e30c39aa90bd4c855fd1abc2c84fab495401d0","first_computed_at":"2026-07-05T09:43:15.746424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:15.746424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K1FwUTfauUpXV8B2G5gy5Ba9ahDeQRgnXHvd2rdSsgyt4tOJnS1Ja/sYOSn5L/6N23SwHzNFAl8AiEhlAHrsCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:15.746927Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.01590","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be547423ae570f8181a495c65866bd39ef873cefaa22351239cdaf34105afe7e","sha256:9f48050ff54856c032ba6f3d9ff98ec6b911743f5bc30254909fadf93a98dea8"],"state_sha256":"08aaf6327176cfafab8dd3e46f682491f717140494e5284367197f001799f0f2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GIQsdOODFGGGp4TEAOILlPOIASjPx+rftwwqKKndJQLa2H/ls0sRJGgd+AIE9ocjI1C9JpB56FmRmpwXJxQyCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:05:31.872269Z","bundle_sha256":"6af1247350036dc8e33562d8d79815f2496bde9220e7086a08f420fa86e19c8c"}}