{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:JGPDWXTCPEOZ5XIPWRLDKWY7P2","short_pith_number":"pith:JGPDWXTC","canonical_record":{"source":{"id":"2011.07631","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-15T21:14:50Z","cross_cats_sorted":[],"title_canon_sha256":"a10c81946e27cc59f4ce1ad6412d6bf81b2900772da8126410a7523c63a0ed7f","abstract_canon_sha256":"03069ebd3051873877b464d142c094f90b2859a974000df9c2c9afe0510cb541"},"schema_version":"1.0"},"canonical_sha256":"499e3b5e62791d9edd0fb456355b1f7e9caae35faa1d8a8e3fe3287ed539ede9","source":{"kind":"arxiv","id":"2011.07631","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.07631","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"2011.07631v2","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.07631","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"JGPDWXTCPEOZ","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"JGPDWXTCPEOZ5XIP","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"JGPDWXTC","created_at":"2026-07-05T02:28:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:JGPDWXTCPEOZ5XIPWRLDKWY7P2","target":"record","payload":{"canonical_record":{"source":{"id":"2011.07631","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-15T21:14:50Z","cross_cats_sorted":[],"title_canon_sha256":"a10c81946e27cc59f4ce1ad6412d6bf81b2900772da8126410a7523c63a0ed7f","abstract_canon_sha256":"03069ebd3051873877b464d142c094f90b2859a974000df9c2c9afe0510cb541"},"schema_version":"1.0"},"canonical_sha256":"499e3b5e62791d9edd0fb456355b1f7e9caae35faa1d8a8e3fe3287ed539ede9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:28:18.831571Z","signature_b64":"dJaWZViZzIId6zQIYRsIshxSFMRjgh9JMimTBTU/MCwSgiz7Onv8DMQHfevh9Y/WXsRNTHrr0qVFEfqiQXTGBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"499e3b5e62791d9edd0fb456355b1f7e9caae35faa1d8a8e3fe3287ed539ede9","last_reissued_at":"2026-07-05T02:28:18.831088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:28:18.831088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.07631","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zhJE8Mz7rdBOsfhsboV8QkCuEckRpjSZ7Hm7vDhPbegZecNNmnL68JfYO7WVJzOmeQ0NCDU4Qh4rUFxTJ8pRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:06:40.593116Z"},"content_sha256":"033a318f689f10994dc3fba766088fcb09cdb095a6b94f660c903f47128561f9","schema_version":"1.0","event_id":"sha256:033a318f689f10994dc3fba766088fcb09cdb095a6b94f660c903f47128561f9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:JGPDWXTCPEOZ5XIPWRLDKWY7P2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dag D. Johansen, Debesh Jha, H{\\aa}vard D. Johansen, Jens Rittscher, Michael A. Riegler, Nikhil Kumar Tomar, P{\\aa}l Halvorsen, Sharib Ali","submitted_at":"2020-11-15T21:14:50Z","abstract_excerpt":"Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art methods still remains an open problem. This is due to the increasing number of researched computer vision methods that can be applied to polyp datasets. Benchmarking of novel methods can provide a direction to the development of automated polyp detection and segmentation tasks. Furthermore, it ensures that the produced results in the community are reproducible"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.07631","kind":"arxiv","version":2},"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/2011.07631/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":"2026-07-05T02:28:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UdssjrcyulMAO75RcvJeUvYAyywzt8UPtgiEPs1ep1XyMQ3QU9E6TF22e7IhbnYCFQ7usGtwb0EzIia27N2MCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:06:40.593497Z"},"content_sha256":"8949fcbf2e8c49463024124196e36217b823b87725a6700d4538e8d173b60ebd","schema_version":"1.0","event_id":"sha256:8949fcbf2e8c49463024124196e36217b823b87725a6700d4538e8d173b60ebd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/bundle.json","state_url":"https://pith.science/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/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":"2026-08-04T03:06:40Z","links":{"resolver":"https://pith.science/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2","bundle":"https://pith.science/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/bundle.json","state":"https://pith.science/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGPDWXTCPEOZ5XIPWRLDKWY7P2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JGPDWXTCPEOZ5XIPWRLDKWY7P2","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":"03069ebd3051873877b464d142c094f90b2859a974000df9c2c9afe0510cb541","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-15T21:14:50Z","title_canon_sha256":"a10c81946e27cc59f4ce1ad6412d6bf81b2900772da8126410a7523c63a0ed7f"},"schema_version":"1.0","source":{"id":"2011.07631","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.07631","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"arxiv_version","alias_value":"2011.07631v2","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.07631","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_12","alias_value":"JGPDWXTCPEOZ","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_16","alias_value":"JGPDWXTCPEOZ5XIP","created_at":"2026-07-05T02:28:18Z"},{"alias_kind":"pith_short_8","alias_value":"JGPDWXTC","created_at":"2026-07-05T02:28:18Z"}],"graph_snapshots":[{"event_id":"sha256:8949fcbf2e8c49463024124196e36217b823b87725a6700d4538e8d173b60ebd","target":"graph","created_at":"2026-07-05T02:28:18Z","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/2011.07631/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art methods still remains an open problem. This is due to the increasing number of researched computer vision methods that can be applied to polyp datasets. Benchmarking of novel methods can provide a direction to the development of automated polyp detection and segmentation tasks. Furthermore, it ensures that the produced results in the community are reproducible","authors_text":"Dag D. Johansen, Debesh Jha, H{\\aa}vard D. Johansen, Jens Rittscher, Michael A. Riegler, Nikhil Kumar Tomar, P{\\aa}l Halvorsen, Sharib Ali","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-15T21:14:50Z","title":"Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.07631","kind":"arxiv","version":2},"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":"sha256:033a318f689f10994dc3fba766088fcb09cdb095a6b94f660c903f47128561f9","target":"record","created_at":"2026-07-05T02:28:18Z","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":"03069ebd3051873877b464d142c094f90b2859a974000df9c2c9afe0510cb541","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-11-15T21:14:50Z","title_canon_sha256":"a10c81946e27cc59f4ce1ad6412d6bf81b2900772da8126410a7523c63a0ed7f"},"schema_version":"1.0","source":{"id":"2011.07631","kind":"arxiv","version":2}},"canonical_sha256":"499e3b5e62791d9edd0fb456355b1f7e9caae35faa1d8a8e3fe3287ed539ede9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"499e3b5e62791d9edd0fb456355b1f7e9caae35faa1d8a8e3fe3287ed539ede9","first_computed_at":"2026-07-05T02:28:18.831088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:28:18.831088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dJaWZViZzIId6zQIYRsIshxSFMRjgh9JMimTBTU/MCwSgiz7Onv8DMQHfevh9Y/WXsRNTHrr0qVFEfqiQXTGBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:28:18.831571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.07631","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:033a318f689f10994dc3fba766088fcb09cdb095a6b94f660c903f47128561f9","sha256:8949fcbf2e8c49463024124196e36217b823b87725a6700d4538e8d173b60ebd"],"state_sha256":"f739f4f9260ec698ebc1ccdb722c44d8326abd2a6692180e6247f4aaf8125062"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o8MIee5HmUqLXqk0Cvqn61OALRWhjN3z54wEYPoRDfDDMOlSh5JIH6D8v7RIQ6Pz8y52B76SCsHCr/j3TqfiAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:06:40.595872Z","bundle_sha256":"5e069c1827c7dfa8c67645d9fded293e5dbcd6f2e7213eda49238681bd997d06"}}