{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SBQIHRQE6JVI34RD2IZC5U3CQE","short_pith_number":"pith:SBQIHRQE","canonical_record":{"source":{"id":"2409.12450","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T04:10:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"60d138c7cee959c0457f5b3de1fb713d22fb9af87e64d97bf1e3d22bcabaadc0","abstract_canon_sha256":"7868d73158d39efa47009a2bc4338995a887fc5c4c86695c5d5a750101fab4c0"},"schema_version":"1.0"},"canonical_sha256":"906083c604f26a8df223d2322ed36281329ff307d0b3ac40c86d44b2718ac6f3","source":{"kind":"arxiv","id":"2409.12450","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12450","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12450v1","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12450","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_12","alias_value":"SBQIHRQE6JVI","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_16","alias_value":"SBQIHRQE6JVI34RD","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_8","alias_value":"SBQIHRQE","created_at":"2026-07-05T09:08:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SBQIHRQE6JVI34RD2IZC5U3CQE","target":"record","payload":{"canonical_record":{"source":{"id":"2409.12450","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T04:10:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"60d138c7cee959c0457f5b3de1fb713d22fb9af87e64d97bf1e3d22bcabaadc0","abstract_canon_sha256":"7868d73158d39efa47009a2bc4338995a887fc5c4c86695c5d5a750101fab4c0"},"schema_version":"1.0"},"canonical_sha256":"906083c604f26a8df223d2322ed36281329ff307d0b3ac40c86d44b2718ac6f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:08:54.428184Z","signature_b64":"e/pm5GMsCTBDfZKiEdelyqOdB55Etle3mdlXmw22JTTGtw/gzyFIDS4YpEPB5e0wbg0HlYTVLhhwXB9XxDmqBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"906083c604f26a8df223d2322ed36281329ff307d0b3ac40c86d44b2718ac6f3","last_reissued_at":"2026-07-05T09:08:54.427768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:08:54.427768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.12450","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":"2026-07-05T09:08:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"njmRlMsgWYG8nRVK25yHGc9PPIUk635IMmtaPEs0y90SAeaUo1ArmyFN6UnBnmBe6bMeqlfy4U0N/h9hLx0oDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T18:55:12.493856Z"},"content_sha256":"f8912d8be1ba2487cd30aabb843883b22d14dab3c1b38ad36a295023bd5c3f1e","schema_version":"1.0","event_id":"sha256:f8912d8be1ba2487cd30aabb843883b22d14dab3c1b38ad36a295023bd5c3f1e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SBQIHRQE6JVI34RD2IZC5U3CQE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Gilberto Ochoa-Ruiz, Mansoor Ali Teevno, Rafael Martinez-Garcia-Pena, Sharib Ali","submitted_at":"2024-09-19T04:10:04Z","abstract_excerpt":"Frequent monitoring is necessary to stratify individuals based on their likelihood of developing gastrointestinal (GI) cancer precursors. In clinical practice, white-light imaging (WLI) and complementary modalities such as narrow-band imaging (NBI) and fluorescence imaging are used to assess risk areas. However, conventional deep learning (DL) models show degraded performance due to the domain gap when a model is trained on one modality and tested on a different one. In our earlier approach, we used a superpixel-based method referred to as \"SUPRA\" to effectively learn domain-invariant informat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12450","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/2409.12450/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":"2026-07-05T09:08:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wiULex17WAmAQpGWb0cL/dz5Jzb88xL584+RR3kzpgWum5+aHzaeGBPZB/qWzAVklzYY2dL1UCcnfrpRGNs1CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T18:55:12.494433Z"},"content_sha256":"159829b57f73117bbcb923708d8547aa2aafa05cce26447759090b09cba7a470","schema_version":"1.0","event_id":"sha256:159829b57f73117bbcb923708d8547aa2aafa05cce26447759090b09cba7a470"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/bundle.json","state_url":"https://pith.science/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/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":"2026-08-22T18:55:12Z","links":{"resolver":"https://pith.science/pith/SBQIHRQE6JVI34RD2IZC5U3CQE","bundle":"https://pith.science/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/bundle.json","state":"https://pith.science/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SBQIHRQE6JVI34RD2IZC5U3CQE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SBQIHRQE6JVI34RD2IZC5U3CQE","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":"7868d73158d39efa47009a2bc4338995a887fc5c4c86695c5d5a750101fab4c0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T04:10:04Z","title_canon_sha256":"60d138c7cee959c0457f5b3de1fb713d22fb9af87e64d97bf1e3d22bcabaadc0"},"schema_version":"1.0","source":{"id":"2409.12450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.12450","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"arxiv_version","alias_value":"2409.12450v1","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.12450","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_12","alias_value":"SBQIHRQE6JVI","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_16","alias_value":"SBQIHRQE6JVI34RD","created_at":"2026-07-05T09:08:54Z"},{"alias_kind":"pith_short_8","alias_value":"SBQIHRQE","created_at":"2026-07-05T09:08:54Z"}],"graph_snapshots":[{"event_id":"sha256:159829b57f73117bbcb923708d8547aa2aafa05cce26447759090b09cba7a470","target":"graph","created_at":"2026-07-05T09:08:54Z","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/2409.12450/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Frequent monitoring is necessary to stratify individuals based on their likelihood of developing gastrointestinal (GI) cancer precursors. In clinical practice, white-light imaging (WLI) and complementary modalities such as narrow-band imaging (NBI) and fluorescence imaging are used to assess risk areas. However, conventional deep learning (DL) models show degraded performance due to the domain gap when a model is trained on one modality and tested on a different one. In our earlier approach, we used a superpixel-based method referred to as \"SUPRA\" to effectively learn domain-invariant informat","authors_text":"Gilberto Ochoa-Ruiz, Mansoor Ali Teevno, Rafael Martinez-Garcia-Pena, Sharib Ali","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T04:10:04Z","title":"Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.12450","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:f8912d8be1ba2487cd30aabb843883b22d14dab3c1b38ad36a295023bd5c3f1e","target":"record","created_at":"2026-07-05T09:08:54Z","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":"7868d73158d39efa47009a2bc4338995a887fc5c4c86695c5d5a750101fab4c0","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-19T04:10:04Z","title_canon_sha256":"60d138c7cee959c0457f5b3de1fb713d22fb9af87e64d97bf1e3d22bcabaadc0"},"schema_version":"1.0","source":{"id":"2409.12450","kind":"arxiv","version":1}},"canonical_sha256":"906083c604f26a8df223d2322ed36281329ff307d0b3ac40c86d44b2718ac6f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"906083c604f26a8df223d2322ed36281329ff307d0b3ac40c86d44b2718ac6f3","first_computed_at":"2026-07-05T09:08:54.427768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:54.427768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e/pm5GMsCTBDfZKiEdelyqOdB55Etle3mdlXmw22JTTGtw/gzyFIDS4YpEPB5e0wbg0HlYTVLhhwXB9XxDmqBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:54.428184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.12450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8912d8be1ba2487cd30aabb843883b22d14dab3c1b38ad36a295023bd5c3f1e","sha256:159829b57f73117bbcb923708d8547aa2aafa05cce26447759090b09cba7a470"],"state_sha256":"188c7b0fc0779274a52209b83298e28e980e729e3326c8c5762421f8caad49d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i3w+wFREV9ULPhpgTvNfPBu/Qsoj+c+HTqERbkMgfgpmGzCB9DOUBp00PX33qALakampJ+shNo/HqKPG7Ed2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T18:55:12.499369Z","bundle_sha256":"5b3e64e534343a7c8363634a4047d2781ee99932d337e8227ebebc4b70791b4c"}}