{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:GBAK7XSDV6GND4FA5Y4TUWTUAI","short_pith_number":"pith:GBAK7XSD","canonical_record":{"source":{"id":"2004.12668","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-27T09:34:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2b74db56ed0480ef6bebab326a08b4a27c0fb5458167a31853dda72b7827d7f0","abstract_canon_sha256":"404f04b8c4dab1d7cfcbdc295351f820b388d615f7fe2f3f492668188538973f"},"schema_version":"1.0"},"canonical_sha256":"3040afde43af8cd1f0a0ee393a5a7402081a5f755629eaece4ae9641c37acef9","source":{"kind":"arxiv","id":"2004.12668","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.12668","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"arxiv_version","alias_value":"2004.12668v1","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.12668","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_12","alias_value":"GBAK7XSDV6GN","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_16","alias_value":"GBAK7XSDV6GND4FA","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_8","alias_value":"GBAK7XSD","created_at":"2026-07-05T00:58:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:GBAK7XSDV6GND4FA5Y4TUWTUAI","target":"record","payload":{"canonical_record":{"source":{"id":"2004.12668","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-27T09:34:05Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2b74db56ed0480ef6bebab326a08b4a27c0fb5458167a31853dda72b7827d7f0","abstract_canon_sha256":"404f04b8c4dab1d7cfcbdc295351f820b388d615f7fe2f3f492668188538973f"},"schema_version":"1.0"},"canonical_sha256":"3040afde43af8cd1f0a0ee393a5a7402081a5f755629eaece4ae9641c37acef9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:58:17.452295Z","signature_b64":"P+ssWouI8yRB1FrRaGGP8usy/96mMrM3ceV/uRnxB7dWoGMP4RJngsjLuAiA3TliuDu3LG0bqvVgpJUNdQRaCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3040afde43af8cd1f0a0ee393a5a7402081a5f755629eaece4ae9641c37acef9","last_reissued_at":"2026-07-05T00:58:17.451867Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:58:17.451867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.12668","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":"2026-07-05T00:58:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DuzZ3bcw8kfVIOY1gAPtzzJmEAKC0Heu9p515rRADByKUYfcbq6RfnsuJoRU3I5EqEml6tfcbOxyWVt0mCSMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T08:51:28.826898Z"},"content_sha256":"ab4a8b3505e932adfd41654abf97fdb5f80d43ea53482755dae766e8ff6aea54","schema_version":"1.0","event_id":"sha256:ab4a8b3505e932adfd41654abf97fdb5f80d43ea53482755dae766e8ff6aea54"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:GBAK7XSDV6GND4FA5Y4TUWTUAI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Fabian Isensee, Klaus H. Maier-Hein","submitted_at":"2020-04-27T09:34:05Z","abstract_excerpt":"Segmentation of endoscopic images is an essential processing step for computer and robotics-assisted interventions. The Robust-MIS challenge provides the largest dataset of annotated endoscopic images to date, with 5983 manually annotated images. Here we describe OR-UNet, our optimized robust residual 2D U-Net for endoscopic image segmentation. As the name implies, the network makes use of residual connections in the encoder. It is trained with the sum of Dice and cross-entropy loss and deep supervision. During training, extensive data augmentation is used to increase the robustness. In an 8-f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.12668","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/2004.12668/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":"2026-07-05T00:58:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JT2N/Ija4TTyjZA1o5I6hAv00+SV/NrI4BcRD2pesXhVmgheVMZyxTs0E1zIFUOM6vbsX0E4KkolhXcq27szCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T08:51:28.827283Z"},"content_sha256":"cfad59c6ebde7fa9da480918a9ce2a59f79de99682246cc73438dff2cf04d0c2","schema_version":"1.0","event_id":"sha256:cfad59c6ebde7fa9da480918a9ce2a59f79de99682246cc73438dff2cf04d0c2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/bundle.json","state_url":"https://pith.science/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/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":"2026-07-26T08:51:28Z","links":{"resolver":"https://pith.science/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI","bundle":"https://pith.science/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/bundle.json","state":"https://pith.science/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GBAK7XSDV6GND4FA5Y4TUWTUAI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:GBAK7XSDV6GND4FA5Y4TUWTUAI","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":"404f04b8c4dab1d7cfcbdc295351f820b388d615f7fe2f3f492668188538973f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-27T09:34:05Z","title_canon_sha256":"2b74db56ed0480ef6bebab326a08b4a27c0fb5458167a31853dda72b7827d7f0"},"schema_version":"1.0","source":{"id":"2004.12668","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.12668","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"arxiv_version","alias_value":"2004.12668v1","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.12668","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_12","alias_value":"GBAK7XSDV6GN","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_16","alias_value":"GBAK7XSDV6GND4FA","created_at":"2026-07-05T00:58:17Z"},{"alias_kind":"pith_short_8","alias_value":"GBAK7XSD","created_at":"2026-07-05T00:58:17Z"}],"graph_snapshots":[{"event_id":"sha256:cfad59c6ebde7fa9da480918a9ce2a59f79de99682246cc73438dff2cf04d0c2","target":"graph","created_at":"2026-07-05T00:58:17Z","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/2004.12668/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation of endoscopic images is an essential processing step for computer and robotics-assisted interventions. The Robust-MIS challenge provides the largest dataset of annotated endoscopic images to date, with 5983 manually annotated images. Here we describe OR-UNet, our optimized robust residual 2D U-Net for endoscopic image segmentation. As the name implies, the network makes use of residual connections in the encoder. It is trained with the sum of Dice and cross-entropy loss and deep supervision. During training, extensive data augmentation is used to increase the robustness. In an 8-f","authors_text":"Fabian Isensee, Klaus H. Maier-Hein","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-27T09:34:05Z","title":"OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.12668","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:ab4a8b3505e932adfd41654abf97fdb5f80d43ea53482755dae766e8ff6aea54","target":"record","created_at":"2026-07-05T00:58:17Z","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":"404f04b8c4dab1d7cfcbdc295351f820b388d615f7fe2f3f492668188538973f","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-04-27T09:34:05Z","title_canon_sha256":"2b74db56ed0480ef6bebab326a08b4a27c0fb5458167a31853dda72b7827d7f0"},"schema_version":"1.0","source":{"id":"2004.12668","kind":"arxiv","version":1}},"canonical_sha256":"3040afde43af8cd1f0a0ee393a5a7402081a5f755629eaece4ae9641c37acef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3040afde43af8cd1f0a0ee393a5a7402081a5f755629eaece4ae9641c37acef9","first_computed_at":"2026-07-05T00:58:17.451867Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:58:17.451867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P+ssWouI8yRB1FrRaGGP8usy/96mMrM3ceV/uRnxB7dWoGMP4RJngsjLuAiA3TliuDu3LG0bqvVgpJUNdQRaCg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:58:17.452295Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.12668","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab4a8b3505e932adfd41654abf97fdb5f80d43ea53482755dae766e8ff6aea54","sha256:cfad59c6ebde7fa9da480918a9ce2a59f79de99682246cc73438dff2cf04d0c2"],"state_sha256":"8077569e9ebc9b02068ba79671175b843fd337bae3980eae47adb416b0b299d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gu0oTdc82xUIOlOs+8sFNBC+ceqDuKRr0FtiYEHnE5JvQQ/HG48Pq6aEJtxt6jIUw/zsAHTrPLqfpwGeLDrfCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T08:51:28.829704Z","bundle_sha256":"0c8084e9a1d5b2250aa0f85b1c7eeb820c7d6cf3137585d03263667b272a7c1b"}}