{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LMN5C2IVO4HGOG7S7V42WWP6MA","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":"693935a2e1b2e04f321caeb3cf336ef255076d6f39b20c55932308e635486ac3","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T22:59:02Z","title_canon_sha256":"423c194e67fc3237ca44b1d0e718ad2672c7564fc88f2c31a398e806bd7505af"},"schema_version":"1.0","source":{"id":"2203.15943","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.15943","created_at":"2026-07-05T04:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"2203.15943v1","created_at":"2026-07-05T04:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15943","created_at":"2026-07-05T04:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"LMN5C2IVO4HG","created_at":"2026-07-05T04:10:05Z"},{"alias_kind":"pith_short_16","alias_value":"LMN5C2IVO4HGOG7S","created_at":"2026-07-05T04:10:05Z"},{"alias_kind":"pith_short_8","alias_value":"LMN5C2IV","created_at":"2026-07-05T04:10:05Z"}],"graph_snapshots":[{"event_id":"sha256:c7d123a3170ca2ce74651eb1f13d72da5ac99709f31c2b3ad43da2eaa81a9844","target":"graph","created_at":"2026-07-05T04:10:05Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2203.15943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an essential prerequisite task in image-based plant phenotyping, leaf segmentation has garnered increasing attention in recent years. While self-supervised learning is emerging as an effective alternative to various computer vision tasks, its adaptation for image-based plant phenotyping remains rather unexplored. In this work, we present a self-supervised leaf segmentation framework consisting of a self-supervised semantic segmentation model, a color-based leaf segmentation algorithm, and a self-supervised color correction model. The self-supervised semantic segmentation model groups the se","authors_text":"Abbas Kouzani, Adam Guskic, Chang-Tsun Li, Egan Doeven, Lawrence Webb, Ligang He, Michael Vernon, Richard Jiang, Scott Adams, Todd Mcclellan, Xufeng Lin, Yongjian Hu","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T22:59:02Z","title":"Self-Supervised Leaf Segmentation under Complex Lighting Conditions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15943","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:a99c16b151f4db342cc8ad02b98b727568e7911ee147396165838eb36f53e0ca","target":"record","created_at":"2026-07-05T04:10:05Z","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":"693935a2e1b2e04f321caeb3cf336ef255076d6f39b20c55932308e635486ac3","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T22:59:02Z","title_canon_sha256":"423c194e67fc3237ca44b1d0e718ad2672c7564fc88f2c31a398e806bd7505af"},"schema_version":"1.0","source":{"id":"2203.15943","kind":"arxiv","version":1}},"canonical_sha256":"5b1bd16915770e671bf2fd79ab59fe601c281d70ef30c709ed690a10724137c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b1bd16915770e671bf2fd79ab59fe601c281d70ef30c709ed690a10724137c5","first_computed_at":"2026-07-05T04:10:05.375558Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:05.375558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"77tXQb0iFm+/d35V9zd+9zUp1UkVTX37JkveEcIzXA3cilb6Sie8lFpWSb/Mk06pUDROFEicr5Sm/6WNJK8RAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:05.375977Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.15943","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a99c16b151f4db342cc8ad02b98b727568e7911ee147396165838eb36f53e0ca","sha256:c7d123a3170ca2ce74651eb1f13d72da5ac99709f31c2b3ad43da2eaa81a9844"],"state_sha256":"856a0eab313a221c3f7383a1c7d70f45a65f4e3450c162bcf507a982574fa44d"}