{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:COXBCSKHYZ54NYAIUIFFVPOU7C","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":"57b27a5e7a6922b0e5a386e7721c5e1aac479ddc904c4d780d100a01e9efde21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T14:25:52Z","title_canon_sha256":"231a2d348e275c02b657c79a8072e08df15abacac6b0fa255716107a04f83bb9"},"schema_version":"1.0","source":{"id":"2505.24636","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24636","created_at":"2026-07-05T11:12:53Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24636v1","created_at":"2026-07-05T11:12:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24636","created_at":"2026-07-05T11:12:53Z"},{"alias_kind":"pith_short_12","alias_value":"COXBCSKHYZ54","created_at":"2026-07-05T11:12:53Z"},{"alias_kind":"pith_short_16","alias_value":"COXBCSKHYZ54NYAI","created_at":"2026-07-05T11:12:53Z"},{"alias_kind":"pith_short_8","alias_value":"COXBCSKH","created_at":"2026-07-05T11:12:53Z"}],"graph_snapshots":[{"event_id":"sha256:f960ccd60ee776a47025d5cbe2f1adb95c764c1d2ad17627aba5856eb43a7861","target":"graph","created_at":"2026-07-05T11:12:53Z","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/2505.24636/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate 6D object pose estimation is essential for robotic grasping and manipulation, particularly in agriculture, where fruits and vegetables exhibit high intra-class variability in shape, size, and texture. The vast majority of existing methods rely on instance-specific CAD models or require depth sensors to resolve geometric ambiguities, making them impractical for real-world agricultural applications. In this work, we introduce PLANTPose, a novel framework for category-level 6D pose estimation that operates purely on RGB input. PLANTPose predicts both the 6D pose and deformation parameter","authors_text":"George Retsinas, Marios Glytsos, Panagiotis P. Filntisis, Petros Maragos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T14:25:52Z","title":"Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24636","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:dae9c8321c95189eb1714bf02055a0cf41b2a341db27d7b22b7657f9336ac469","target":"record","created_at":"2026-07-05T11:12:53Z","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":"57b27a5e7a6922b0e5a386e7721c5e1aac479ddc904c4d780d100a01e9efde21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T14:25:52Z","title_canon_sha256":"231a2d348e275c02b657c79a8072e08df15abacac6b0fa255716107a04f83bb9"},"schema_version":"1.0","source":{"id":"2505.24636","kind":"arxiv","version":1}},"canonical_sha256":"13ae114947c67bc6e008a20a5abdd4f890b4c6c71348eb7967eefc0c55815ea0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"13ae114947c67bc6e008a20a5abdd4f890b4c6c71348eb7967eefc0c55815ea0","first_computed_at":"2026-07-05T11:12:53.676483Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:53.676483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+y1VaR9TtAcP9Vwhgb0/uAeJ6GzMJ1GoIuxnKaN4O57fAmQmGaNHt+3MSbl7qH5+bA6wIQtgl4L5lkH7ZTGWCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:53.677008Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24636","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dae9c8321c95189eb1714bf02055a0cf41b2a341db27d7b22b7657f9336ac469","sha256:f960ccd60ee776a47025d5cbe2f1adb95c764c1d2ad17627aba5856eb43a7861"],"state_sha256":"5af35eb4a956ac076c5e34a94827322875f1f71d6ce8dfa7362c829c2cc1d238"}