{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:EVSYPN7KWEZ32JZEDFSYWAIKD2","short_pith_number":"pith:EVSYPN7K","schema_version":"1.0","canonical_sha256":"256587b7eab133bd272419658b010a1eb7464f1c66e03d45e968b80c0b262bd4","source":{"kind":"arxiv","id":"2103.02833","version":1},"attestation_state":"computed","paper":{"title":"Semantics-guided Skeletonization of Sweet Cherry Trees for Robotic Pruning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Abhisesh Silwal, Alexander You, Cindy Grimm, Joseph R. Davidson","submitted_at":"2021-03-04T04:53:38Z","abstract_excerpt":"Dormant pruning for fresh market fruit trees is a relatively unexplored application of agricultural robotics for which few end-to-end systems exist. One of the biggest challenges in creating an autonomous pruning system is the need to reconstruct a model of a tree which is accurate and informative enough to be useful for deciding where to cut. One useful structure for modeling a tree is a skeleton: a 1D, lightweight representation of the geometry and the topology of a tree. This skeletonization problem is an important one within the field of computer graphics, and a number of algorithms have b"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2103.02833","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-03-04T04:53:38Z","cross_cats_sorted":[],"title_canon_sha256":"0b2c2ed1f07bf00d9f5c56f4bb14c6ceee8dc35b43cf82b344837e371027e936","abstract_canon_sha256":"d3b826ba58fe8b356c0a0a28839c3f1ff8becb9db9aa9b8ed7cd4943f61d9eb2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:20:21.819449Z","signature_b64":"QmVA1mXeKJ5x1F/4LXMuAFCxzIjLryjxOOsF7b8vIE0f+zmXvgO/XC5IAKptZ/Us/uyc/ODCQYZLIb95d+NkBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"256587b7eab133bd272419658b010a1eb7464f1c66e03d45e968b80c0b262bd4","last_reissued_at":"2026-07-05T02:20:21.819032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:20:21.819032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Semantics-guided Skeletonization of Sweet Cherry Trees for Robotic Pruning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Abhisesh Silwal, Alexander You, Cindy Grimm, Joseph R. Davidson","submitted_at":"2021-03-04T04:53:38Z","abstract_excerpt":"Dormant pruning for fresh market fruit trees is a relatively unexplored application of agricultural robotics for which few end-to-end systems exist. One of the biggest challenges in creating an autonomous pruning system is the need to reconstruct a model of a tree which is accurate and informative enough to be useful for deciding where to cut. One useful structure for modeling a tree is a skeleton: a 1D, lightweight representation of the geometry and the topology of a tree. This skeletonization problem is an important one within the field of computer graphics, and a number of algorithms have b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.02833","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/2103.02833/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2103.02833","created_at":"2026-07-05T02:20:21.819094+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.02833v1","created_at":"2026-07-05T02:20:21.819094+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.02833","created_at":"2026-07-05T02:20:21.819094+00:00"},{"alias_kind":"pith_short_12","alias_value":"EVSYPN7KWEZ3","created_at":"2026-07-05T02:20:21.819094+00:00"},{"alias_kind":"pith_short_16","alias_value":"EVSYPN7KWEZ32JZE","created_at":"2026-07-05T02:20:21.819094+00:00"},{"alias_kind":"pith_short_8","alias_value":"EVSYPN7K","created_at":"2026-07-05T02:20:21.819094+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2","json":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2.json","graph_json":"https://pith.science/api/pith-number/EVSYPN7KWEZ32JZEDFSYWAIKD2/graph.json","events_json":"https://pith.science/api/pith-number/EVSYPN7KWEZ32JZEDFSYWAIKD2/events.json","paper":"https://pith.science/paper/EVSYPN7K"},"agent_actions":{"view_html":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2","download_json":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2.json","view_paper":"https://pith.science/paper/EVSYPN7K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.02833&json=true","fetch_graph":"https://pith.science/api/pith-number/EVSYPN7KWEZ32JZEDFSYWAIKD2/graph.json","fetch_events":"https://pith.science/api/pith-number/EVSYPN7KWEZ32JZEDFSYWAIKD2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2/action/storage_attestation","attest_author":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2/action/author_attestation","sign_citation":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2/action/citation_signature","submit_replication":"https://pith.science/pith/EVSYPN7KWEZ32JZEDFSYWAIKD2/action/replication_record"}},"created_at":"2026-07-05T02:20:21.819094+00:00","updated_at":"2026-07-05T02:20:21.819094+00:00"}