{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:CWU2E2OFXZYIIVDVAUAQUIFEC3","short_pith_number":"pith:CWU2E2OF","canonical_record":{"source":{"id":"1807.08555","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T12:13:35Z","cross_cats_sorted":[],"title_canon_sha256":"b7992e9c0f2251aaf619c4afc326003318cf764cbff115dbda43de5b5ef4390a","abstract_canon_sha256":"7373abb47b9e8dd62fbb46c7c66a779e6dfdf9caee2d38f79a82987c4e6fccf2"},"schema_version":"1.0"},"canonical_sha256":"15a9a269c5be7084547505010a20a416cfb1993f6a2a545686175fe05812c7e0","source":{"kind":"arxiv","id":"1807.08555","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08555","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08555v1","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08555","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"CWU2E2OFXZYI","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CWU2E2OFXZYIIVDV","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CWU2E2OF","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:CWU2E2OFXZYIIVDVAUAQUIFEC3","target":"record","payload":{"canonical_record":{"source":{"id":"1807.08555","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T12:13:35Z","cross_cats_sorted":[],"title_canon_sha256":"b7992e9c0f2251aaf619c4afc326003318cf764cbff115dbda43de5b5ef4390a","abstract_canon_sha256":"7373abb47b9e8dd62fbb46c7c66a779e6dfdf9caee2d38f79a82987c4e6fccf2"},"schema_version":"1.0"},"canonical_sha256":"15a9a269c5be7084547505010a20a416cfb1993f6a2a545686175fe05812c7e0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:05.561239Z","signature_b64":"hGuo3cOd705WRk5E2qwKkP3IuJLK8bs+KLctjkLPMSgW12+iH8gAq/VZDBxImkRgNnvmHErPBBiHgiHD3foDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"15a9a269c5be7084547505010a20a416cfb1993f6a2a545686175fe05812c7e0","last_reissued_at":"2026-05-18T00:10:05.560598Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:05.560598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.08555","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":"2026-05-18T00:10:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Re2fiSsgrTSRrd+YGE5UZy6Hr7abZ+025QTqBSEOg3BptKcAAS4aMEw+Gix6P9tygNgFLavIGGV92V3Z42TWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:04:08.301949Z"},"content_sha256":"1fe076f98a3f797e7eef18fe21f490d1a49d46ea8fc5337c60ff4c633b07b191","schema_version":"1.0","event_id":"sha256:1fe076f98a3f797e7eef18fe21f490d1a49d46ea8fc5337c60ff4c633b07b191"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:CWU2E2OFXZYIIVDVAUAQUIFEC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Iterative Interaction Training for Segmentation Editing Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christine Tanner, Ender Konukoglu, Gustav Bredell","submitted_at":"2018-07-23T12:13:35Z","abstract_excerpt":"Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentation to their own needs and will need different tools for this. There has been methods developed to edit segmentations of automatic methods based on the user input, primarily for binary segmentations. Here however, we present an unique training strategy for convolutional neural networks (CNNs) trained on top of an automatic method to enable interactive segmentation editing that is not limited to binary segmentation. By"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08555","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":""},"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":"2026-05-18T00:10:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"grSfIwYpazA1xyftCh/TVd451HluPWD/G/cGznPjh8HimbVEXZ7/S7cL8vTJs6eMCLszh2vABxFMJACs0968BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T23:04:08.302645Z"},"content_sha256":"3489a4fa0dae8b30bd363f45b21db66d62a8420cf38175aaeb0f66a8ac9fc5e0","schema_version":"1.0","event_id":"sha256:3489a4fa0dae8b30bd363f45b21db66d62a8420cf38175aaeb0f66a8ac9fc5e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/bundle.json","state_url":"https://pith.science/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/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":"2026-05-26T23:04:08Z","links":{"resolver":"https://pith.science/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3","bundle":"https://pith.science/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/bundle.json","state":"https://pith.science/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CWU2E2OFXZYIIVDVAUAQUIFEC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CWU2E2OFXZYIIVDVAUAQUIFEC3","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":"7373abb47b9e8dd62fbb46c7c66a779e6dfdf9caee2d38f79a82987c4e6fccf2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T12:13:35Z","title_canon_sha256":"b7992e9c0f2251aaf619c4afc326003318cf764cbff115dbda43de5b5ef4390a"},"schema_version":"1.0","source":{"id":"1807.08555","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.08555","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"1807.08555v1","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.08555","created_at":"2026-05-18T00:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"CWU2E2OFXZYI","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"CWU2E2OFXZYIIVDV","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"CWU2E2OF","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:3489a4fa0dae8b30bd363f45b21db66d62a8420cf38175aaeb0f66a8ac9fc5e0","target":"graph","created_at":"2026-05-18T00:10:05Z","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"},"paper":{"abstract_excerpt":"Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentation to their own needs and will need different tools for this. There has been methods developed to edit segmentations of automatic methods based on the user input, primarily for binary segmentations. Here however, we present an unique training strategy for convolutional neural networks (CNNs) trained on top of an automatic method to enable interactive segmentation editing that is not limited to binary segmentation. By","authors_text":"Christine Tanner, Ender Konukoglu, Gustav Bredell","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T12:13:35Z","title":"Iterative Interaction Training for Segmentation Editing Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.08555","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":"sha256:1fe076f98a3f797e7eef18fe21f490d1a49d46ea8fc5337c60ff4c633b07b191","target":"record","created_at":"2026-05-18T00:10:05Z","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":"7373abb47b9e8dd62fbb46c7c66a779e6dfdf9caee2d38f79a82987c4e6fccf2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-07-23T12:13:35Z","title_canon_sha256":"b7992e9c0f2251aaf619c4afc326003318cf764cbff115dbda43de5b5ef4390a"},"schema_version":"1.0","source":{"id":"1807.08555","kind":"arxiv","version":1}},"canonical_sha256":"15a9a269c5be7084547505010a20a416cfb1993f6a2a545686175fe05812c7e0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15a9a269c5be7084547505010a20a416cfb1993f6a2a545686175fe05812c7e0","first_computed_at":"2026-05-18T00:10:05.560598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:05.560598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hGuo3cOd705WRk5E2qwKkP3IuJLK8bs+KLctjkLPMSgW12+iH8gAq/VZDBxImkRgNnvmHErPBBiHgiHD3foDCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:05.561239Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.08555","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fe076f98a3f797e7eef18fe21f490d1a49d46ea8fc5337c60ff4c633b07b191","sha256:3489a4fa0dae8b30bd363f45b21db66d62a8420cf38175aaeb0f66a8ac9fc5e0"],"state_sha256":"86b042eee05fdce9100e6b8b7c4f731ebd5cb0d9b9f00c6e7a9d6f193d11f136"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OOUF9U6jVAF/JH7G8FDZDimyX0r6FJahmMB/ZJxVZ+d+vSSwQbek9Em9E4VDXbmge+rr+P42Turvt3cZA1Q6Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T23:04:08.306299Z","bundle_sha256":"876e623fa298a9e611b4f04bc476bcef63cb8279e11b30a1fc2eb8e04e88c979"}}