{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JMZ67K3MPZPINOKTDC76EKZXYV","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":"e913a6216b42e8f8f94016fbb81d59a76551ea87eb9489906c63776ca9adcee0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-04-06T20:36:48Z","title_canon_sha256":"d3566db835093106d4456987f67902af998deb604e83e677c071442320b916f7"},"schema_version":"1.0","source":{"id":"2004.02989","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.02989","created_at":"2026-07-05T00:53:22Z"},{"alias_kind":"arxiv_version","alias_value":"2004.02989v1","created_at":"2026-07-05T00:53:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.02989","created_at":"2026-07-05T00:53:22Z"},{"alias_kind":"pith_short_12","alias_value":"JMZ67K3MPZPI","created_at":"2026-07-05T00:53:22Z"},{"alias_kind":"pith_short_16","alias_value":"JMZ67K3MPZPINOKT","created_at":"2026-07-05T00:53:22Z"},{"alias_kind":"pith_short_8","alias_value":"JMZ67K3M","created_at":"2026-07-05T00:53:22Z"}],"graph_snapshots":[{"event_id":"sha256:94c0a7641ca95ca786a9b0e52c67ded0a3da897f46453d7f177ba5c4ece2c2f4","target":"graph","created_at":"2026-07-05T00:53:22Z","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/2004.02989/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D volume segmentation is a fundamental task in many scientific and medical applications. Producing accurate segmentations efficiently is challenging, in part due to low imaging data quality (e.g., noise and low image resolution) and ambiguity in the data that can only be resolved with higher-level knowledge of the structure. Automatic algorithms do exist, but there are many use cases where they fail. The gold standard is still manual segmentation or review. Unfortunately, even for an expert, manual segmentation is laborious, time consuming, and prone to errors. Existing 3D segmentation tools ","authors_text":"Anahita Sanandaji, Brandon Lane, Cindy Grimm, Kathryn Hays, Luke Hillard, Max Parola, Meghan Kajihara, Molly Beyer, Ruth West","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-04-06T20:36:48Z","title":"Analyzing 3D Volume Segmentation by Low-level Perceptual Cues, High-level Cognitive Tasks, and Decision-making Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.02989","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":"sha256:746c2bb129370b935280026f607db33962f86723efe358771be857b07b91156b","target":"record","created_at":"2026-07-05T00:53:22Z","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":"e913a6216b42e8f8f94016fbb81d59a76551ea87eb9489906c63776ca9adcee0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-04-06T20:36:48Z","title_canon_sha256":"d3566db835093106d4456987f67902af998deb604e83e677c071442320b916f7"},"schema_version":"1.0","source":{"id":"2004.02989","kind":"arxiv","version":1}},"canonical_sha256":"4b33efab6c7e5e86b95318bfe22b37c54aafad3fbbc0d34be3ef98151bf168a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b33efab6c7e5e86b95318bfe22b37c54aafad3fbbc0d34be3ef98151bf168a1","first_computed_at":"2026-07-05T00:53:22.203571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:53:22.203571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1VEJ6KSsE2j3QRhGmr8bitDf5qTlhJMRXXMvUjMaOHq2LcnmfGL+sy95/sbNl9Lec+l6lvBsqXeDnHW4YwkNAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:53:22.203969Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.02989","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:746c2bb129370b935280026f607db33962f86723efe358771be857b07b91156b","sha256:94c0a7641ca95ca786a9b0e52c67ded0a3da897f46453d7f177ba5c4ece2c2f4"],"state_sha256":"c51a56a41c13603d43632f3215967bc0f4dfa45adaa57ef7d3c076b8b9e950d5"}