{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:O5BGKKRXVUXODQSSXYNEJIGUVA","short_pith_number":"pith:O5BGKKRX","canonical_record":{"source":{"id":"2505.13633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T18:13:09Z","cross_cats_sorted":[],"title_canon_sha256":"bae61f14e4533499955acd5d9092c5d423c73632c6f1539c023df3fd70c840a1","abstract_canon_sha256":"aa8132c7fd07b1816951ba730ec4905f0220242123f831a4679713962d684546"},"schema_version":"1.0"},"canonical_sha256":"7742652a37ad2ee1c252be1a44a0d4a801976008e3c755e1ead799a6f389c7c6","source":{"kind":"arxiv","id":"2505.13633","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13633","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13633v1","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13633","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_12","alias_value":"O5BGKKRXVUXO","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_16","alias_value":"O5BGKKRXVUXODQSS","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_8","alias_value":"O5BGKKRX","created_at":"2026-07-05T11:05:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:O5BGKKRXVUXODQSSXYNEJIGUVA","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13633","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T18:13:09Z","cross_cats_sorted":[],"title_canon_sha256":"bae61f14e4533499955acd5d9092c5d423c73632c6f1539c023df3fd70c840a1","abstract_canon_sha256":"aa8132c7fd07b1816951ba730ec4905f0220242123f831a4679713962d684546"},"schema_version":"1.0"},"canonical_sha256":"7742652a37ad2ee1c252be1a44a0d4a801976008e3c755e1ead799a6f389c7c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:48.773496Z","signature_b64":"FdQkYf5tOaqqNDqkOP62XO1ML7WV//Llky5Vu7A0kWog9nEJTR64MjxejzSGcTVwkU4VCMj8v7u66O8ylmVBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7742652a37ad2ee1c252be1a44a0d4a801976008e3c755e1ead799a6f389c7c6","last_reissued_at":"2026-07-05T11:05:48.773015Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:48.773015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13633","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":"2026-07-05T11:05:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cFqNg3LCuZHDHKyQziMrDcCPbkOehR7wdiQFGyChZGSvfTUKjau3KLbEAa5K774DFv/b+sfqYIxEP4V4FIaADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:39:22.871912Z"},"content_sha256":"874442f1cb5e89de6197b345baf31d6c33887cac1b3bedf13ef47d2a31efd701","schema_version":"1.0","event_id":"sha256:874442f1cb5e89de6197b345baf31d6c33887cac1b3bedf13ef47d2a31efd701"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:O5BGKKRXVUXODQSSXYNEJIGUVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IPENS:Interactive Unsupervised Framework for Rapid Plant Phenotyping Extraction via NeRF-SAM2 Fusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyang Peng, Fang Qu, He Huang, Jiaqi Zhang, Longhui Fang, Wentao Song, Youqiang Sun, Yuwei Hao","submitted_at":"2025-05-19T18:13:09Z","abstract_excerpt":"Advanced plant phenotyping technologies play a crucial role in targeted trait improvement and accelerating intelligent breeding. Due to the species diversity of plants, existing methods heavily rely on large-scale high-precision manually annotated data. For self-occluded objects at the grain level, unsupervised methods often prove ineffective. This study proposes IPENS, an interactive unsupervised multi-target point cloud extraction method. The method utilizes radiance field information to lift 2D masks, which are segmented by SAM2 (Segment Anything Model 2), into 3D space for target point clo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13633","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/2505.13633/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:05:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MZgPxThPHwgvT15sxflebX1gSKQWaKfUXCazkk6hKJemgoftKfnrpvemu19vLBUsvJKtzGqaovjxEm5loRS2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T00:39:22.872396Z"},"content_sha256":"3c5f3a306b34a4475bd2e509cae8716cdcc327e0a9667582dc3fffe8c27a4f10","schema_version":"1.0","event_id":"sha256:3c5f3a306b34a4475bd2e509cae8716cdcc327e0a9667582dc3fffe8c27a4f10"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/bundle.json","state_url":"https://pith.science/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/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":"2026-08-04T00:39:22Z","links":{"resolver":"https://pith.science/pith/O5BGKKRXVUXODQSSXYNEJIGUVA","bundle":"https://pith.science/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/bundle.json","state":"https://pith.science/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O5BGKKRXVUXODQSSXYNEJIGUVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:O5BGKKRXVUXODQSSXYNEJIGUVA","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":"aa8132c7fd07b1816951ba730ec4905f0220242123f831a4679713962d684546","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T18:13:09Z","title_canon_sha256":"bae61f14e4533499955acd5d9092c5d423c73632c6f1539c023df3fd70c840a1"},"schema_version":"1.0","source":{"id":"2505.13633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13633","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13633v1","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13633","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_12","alias_value":"O5BGKKRXVUXO","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_16","alias_value":"O5BGKKRXVUXODQSS","created_at":"2026-07-05T11:05:48Z"},{"alias_kind":"pith_short_8","alias_value":"O5BGKKRX","created_at":"2026-07-05T11:05:48Z"}],"graph_snapshots":[{"event_id":"sha256:3c5f3a306b34a4475bd2e509cae8716cdcc327e0a9667582dc3fffe8c27a4f10","target":"graph","created_at":"2026-07-05T11:05:48Z","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/2505.13633/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advanced plant phenotyping technologies play a crucial role in targeted trait improvement and accelerating intelligent breeding. Due to the species diversity of plants, existing methods heavily rely on large-scale high-precision manually annotated data. For self-occluded objects at the grain level, unsupervised methods often prove ineffective. This study proposes IPENS, an interactive unsupervised multi-target point cloud extraction method. The method utilizes radiance field information to lift 2D masks, which are segmented by SAM2 (Segment Anything Model 2), into 3D space for target point clo","authors_text":"Chenyang Peng, Fang Qu, He Huang, Jiaqi Zhang, Longhui Fang, Wentao Song, Youqiang Sun, Yuwei Hao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T18:13:09Z","title":"IPENS:Interactive Unsupervised Framework for Rapid Plant Phenotyping Extraction via NeRF-SAM2 Fusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13633","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":"sha256:874442f1cb5e89de6197b345baf31d6c33887cac1b3bedf13ef47d2a31efd701","target":"record","created_at":"2026-07-05T11:05:48Z","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":"aa8132c7fd07b1816951ba730ec4905f0220242123f831a4679713962d684546","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T18:13:09Z","title_canon_sha256":"bae61f14e4533499955acd5d9092c5d423c73632c6f1539c023df3fd70c840a1"},"schema_version":"1.0","source":{"id":"2505.13633","kind":"arxiv","version":1}},"canonical_sha256":"7742652a37ad2ee1c252be1a44a0d4a801976008e3c755e1ead799a6f389c7c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7742652a37ad2ee1c252be1a44a0d4a801976008e3c755e1ead799a6f389c7c6","first_computed_at":"2026-07-05T11:05:48.773015Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:48.773015Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FdQkYf5tOaqqNDqkOP62XO1ML7WV//Llky5Vu7A0kWog9nEJTR64MjxejzSGcTVwkU4VCMj8v7u66O8ylmVBCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:48.773496Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:874442f1cb5e89de6197b345baf31d6c33887cac1b3bedf13ef47d2a31efd701","sha256:3c5f3a306b34a4475bd2e509cae8716cdcc327e0a9667582dc3fffe8c27a4f10"],"state_sha256":"0786abdb251a718db80a4b5b1792c996e829561f8537f16030ba3fd150a06953"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUQ5atxa1yFCcIQ41tf+PJUWA2oHw7SsIKfae4rc7HO2NOeosclvAJeNBfEuukVyaYSxXKcBHutMNSA2WGX3BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T00:39:22.876404Z","bundle_sha256":"7841548c61b417c6801134e49c7a823e046613617b2190fe2e271c205e48e970"}}