{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4B6SUIOU5I6KEPWXVRMNZN6I5Y","short_pith_number":"pith:4B6SUIOU","canonical_record":{"source":{"id":"2306.04557","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-07T16:04:08Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"a09cff5112183512dc603ed938b241c34dd95fd59a994444f2ec5e0a99d4d75f","abstract_canon_sha256":"d0cc5c024fe071f69416432e0a4c4d82c5c957249652211667afae5b5cac22c6"},"schema_version":"1.0"},"canonical_sha256":"e07d2a21d4ea3ca23ed7ac58dcb7c8ee22f24668b0b6009ec6ddb226e0ea71c8","source":{"kind":"arxiv","id":"2306.04557","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.04557","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"arxiv_version","alias_value":"2306.04557v2","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.04557","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_12","alias_value":"4B6SUIOU5I6K","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_16","alias_value":"4B6SUIOU5I6KEPWX","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_8","alias_value":"4B6SUIOU","created_at":"2026-07-05T08:47:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4B6SUIOU5I6KEPWXVRMNZN6I5Y","target":"record","payload":{"canonical_record":{"source":{"id":"2306.04557","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-07T16:04:08Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"a09cff5112183512dc603ed938b241c34dd95fd59a994444f2ec5e0a99d4d75f","abstract_canon_sha256":"d0cc5c024fe071f69416432e0a4c4d82c5c957249652211667afae5b5cac22c6"},"schema_version":"1.0"},"canonical_sha256":"e07d2a21d4ea3ca23ed7ac58dcb7c8ee22f24668b0b6009ec6ddb226e0ea71c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:46.027018Z","signature_b64":"/uuJc0JNnETvSvQCqRV+9Mpp/Yd2SlimdO8H6IW8fGYMI8FDxh8cVO/8l6a9CK1Jxr607kAM1cmp0HwuAl27CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e07d2a21d4ea3ca23ed7ac58dcb7c8ee22f24668b0b6009ec6ddb226e0ea71c8","last_reissued_at":"2026-07-05T08:47:46.026561Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:46.026561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.04557","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:47:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"emYhGHzF8attcRuDKClB2nVNhM8TQdjw5Je+xsTQ4bmeP/LpjB76Ho0iISdJpmkMAm/pOejtToVJB596Tf//Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:18:51.810542Z"},"content_sha256":"c501eae95a09e0e86c978ffa86544c3c55172b4ecdae3d3388c64992400d5dab","schema_version":"1.0","event_id":"sha256:c501eae95a09e0e86c978ffa86544c3c55172b4ecdae3d3388c64992400d5dab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4B6SUIOU5I6KEPWXVRMNZN6I5Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Cyrill Stachniss, Elias Marks, Federico Magistri, Gianmarco Roggiolani, Jan Weyler, Jens Behley, Matteo Sodano, Nived Chebrolu, Yue Linn Chong","submitted_at":"2023-06-07T16:04:08Z","abstract_excerpt":"The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision systems can support making better and more sustainable field management decisions, but also support the breeding of new crop varieties by allowing temporally dense and reproducible measurements. Recently, agricultural robotics got an increasing interest in the vision and robotics communities since it is a promising avenue for coping with the aforementioned l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.04557","kind":"arxiv","version":2},"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/2306.04557/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":"2026-07-05T08:47:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LD6GJczKQCOumK8cLNIpTu/PuQ0XB9LLtMig1AUILOLmG8t+joUPp0jZQ9rg9LiMnnriayW07FBTHwNrEoHlDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T14:18:51.810863Z"},"content_sha256":"086264c80263926f8c9d3552e869c53724769aef43a9caecd5dddd7f6c0f9176","schema_version":"1.0","event_id":"sha256:086264c80263926f8c9d3552e869c53724769aef43a9caecd5dddd7f6c0f9176"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/bundle.json","state_url":"https://pith.science/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/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":"2026-07-31T14:18:51Z","links":{"resolver":"https://pith.science/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y","bundle":"https://pith.science/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/bundle.json","state":"https://pith.science/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4B6SUIOU5I6KEPWXVRMNZN6I5Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4B6SUIOU5I6KEPWXVRMNZN6I5Y","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":"d0cc5c024fe071f69416432e0a4c4d82c5c957249652211667afae5b5cac22c6","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-07T16:04:08Z","title_canon_sha256":"a09cff5112183512dc603ed938b241c34dd95fd59a994444f2ec5e0a99d4d75f"},"schema_version":"1.0","source":{"id":"2306.04557","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.04557","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"arxiv_version","alias_value":"2306.04557v2","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.04557","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_12","alias_value":"4B6SUIOU5I6K","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_16","alias_value":"4B6SUIOU5I6KEPWX","created_at":"2026-07-05T08:47:46Z"},{"alias_kind":"pith_short_8","alias_value":"4B6SUIOU","created_at":"2026-07-05T08:47:46Z"}],"graph_snapshots":[{"event_id":"sha256:086264c80263926f8c9d3552e869c53724769aef43a9caecd5dddd7f6c0f9176","target":"graph","created_at":"2026-07-05T08:47:46Z","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/2306.04557/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision systems can support making better and more sustainable field management decisions, but also support the breeding of new crop varieties by allowing temporally dense and reproducible measurements. Recently, agricultural robotics got an increasing interest in the vision and robotics communities since it is a promising avenue for coping with the aforementioned l","authors_text":"Cyrill Stachniss, Elias Marks, Federico Magistri, Gianmarco Roggiolani, Jan Weyler, Jens Behley, Matteo Sodano, Nived Chebrolu, Yue Linn Chong","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-07T16:04:08Z","title":"PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.04557","kind":"arxiv","version":2},"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:c501eae95a09e0e86c978ffa86544c3c55172b4ecdae3d3388c64992400d5dab","target":"record","created_at":"2026-07-05T08:47:46Z","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":"d0cc5c024fe071f69416432e0a4c4d82c5c957249652211667afae5b5cac22c6","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-06-07T16:04:08Z","title_canon_sha256":"a09cff5112183512dc603ed938b241c34dd95fd59a994444f2ec5e0a99d4d75f"},"schema_version":"1.0","source":{"id":"2306.04557","kind":"arxiv","version":2}},"canonical_sha256":"e07d2a21d4ea3ca23ed7ac58dcb7c8ee22f24668b0b6009ec6ddb226e0ea71c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e07d2a21d4ea3ca23ed7ac58dcb7c8ee22f24668b0b6009ec6ddb226e0ea71c8","first_computed_at":"2026-07-05T08:47:46.026561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:47:46.026561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/uuJc0JNnETvSvQCqRV+9Mpp/Yd2SlimdO8H6IW8fGYMI8FDxh8cVO/8l6a9CK1Jxr607kAM1cmp0HwuAl27CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:47:46.027018Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.04557","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c501eae95a09e0e86c978ffa86544c3c55172b4ecdae3d3388c64992400d5dab","sha256:086264c80263926f8c9d3552e869c53724769aef43a9caecd5dddd7f6c0f9176"],"state_sha256":"e8d9c406d8a8151a85cfd4285928e5aed3e30776744779ab4771a85c6e92cab4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UpCqgAZ9jhwmrd5EpwD9xQezU7LN+Ctbf4Hrqho7gdRlfhBSzVZ2gPKuey45xj3ocbXavk8KDXrLSFzi7tFCDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T14:18:51.813747Z","bundle_sha256":"71f8b5bc878efa1fa9b71b1ea9700216e9d33a1fc45e13b256aaa733b6b37224"}}