{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DI6DLFHFOUIWRNK3B6Z2BVGUAM","short_pith_number":"pith:DI6DLFHF","canonical_record":{"source":{"id":"2501.00527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-31T16:23:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"eada37962943030dc1c4f39042b0ac42997e4008abc9bf30cb1e5cd6bb7f36d5","abstract_canon_sha256":"5049b4792eff0dc58a2542e9496290663fae79d6084991f6e8e155aa57779774"},"schema_version":"1.0"},"canonical_sha256":"1a3c3594e5751168b55b0fb3a0d4d4030d7126925364a2400580822d970125bd","source":{"kind":"arxiv","id":"2501.00527","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00527","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00527v1","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00527","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_12","alias_value":"DI6DLFHFOUIW","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_16","alias_value":"DI6DLFHFOUIWRNK3","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_8","alias_value":"DI6DLFHF","created_at":"2026-07-05T09:56:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DI6DLFHFOUIWRNK3B6Z2BVGUAM","target":"record","payload":{"canonical_record":{"source":{"id":"2501.00527","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-31T16:23:58Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"eada37962943030dc1c4f39042b0ac42997e4008abc9bf30cb1e5cd6bb7f36d5","abstract_canon_sha256":"5049b4792eff0dc58a2542e9496290663fae79d6084991f6e8e155aa57779774"},"schema_version":"1.0"},"canonical_sha256":"1a3c3594e5751168b55b0fb3a0d4d4030d7126925364a2400580822d970125bd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:56:07.140868Z","signature_b64":"AXv6y71Kk4d+VY8CsaNUM9jvwGZGmpSH05X9SZB5Wfx4t6NDewO/gubHkZPOzoeRcuhWTgMhntt+0jED3dNzDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1a3c3594e5751168b55b0fb3a0d4d4030d7126925364a2400580822d970125bd","last_reissued_at":"2026-07-05T09:56:07.140385Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:56:07.140385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.00527","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":"2026-07-05T09:56:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJT/PxV0QBgwuSFeuxbBIZ/MEs88sZJYod4tsXEJD9kOnOyavraDqbogNdkx7wP5VPcy2H+EbZKBU9VzmZ32Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:36:52.494748Z"},"content_sha256":"fbab6667563b9d2aeb00262a2a38647035b039c261dc9d763e1890ca8c5ea3b1","schema_version":"1.0","event_id":"sha256:fbab6667563b9d2aeb00262a2a38647035b039c261dc9d763e1890ca8c5ea3b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DI6DLFHFOUIWRNK3B6Z2BVGUAM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Elizabeth Sklar, Madeleine Darbyshire, Simon Parsons","submitted_at":"2024-12-31T16:23:58Z","abstract_excerpt":"Precision agriculture leverages data and machine learning so that farmers can monitor their crops and target interventions precisely. This enables the precision application of herbicide only to weeds, or the precision application of fertilizer only to undernourished crops, rather than to the entire field. The approach promises to maximize yields while minimizing resource use and harm to the surrounding environment. To this end, we propose a hierarchical panoptic segmentation method that simultaneously determines leaf count (as an identifier of plant growth)and locates weeds within an image. In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00527","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/2501.00527/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":"2026-07-05T09:56:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2jQ7gzFVQptcP2hCMkpO12Qml+grrMCC/hRkKS/m0H2XTGzVuQT3X+lG5oWbWdBX4GTW5gSMZxDJeZPBFe/0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T23:36:52.495124Z"},"content_sha256":"57e0f0c3e00347548443fb9ed07818c0dc6f21666f8b5fd13ca78bf352ddcd39","schema_version":"1.0","event_id":"sha256:57e0f0c3e00347548443fb9ed07818c0dc6f21666f8b5fd13ca78bf352ddcd39"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/bundle.json","state_url":"https://pith.science/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/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":"2026-07-08T23:36:52Z","links":{"resolver":"https://pith.science/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM","bundle":"https://pith.science/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/bundle.json","state":"https://pith.science/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DI6DLFHFOUIWRNK3B6Z2BVGUAM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DI6DLFHFOUIWRNK3B6Z2BVGUAM","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":"5049b4792eff0dc58a2542e9496290663fae79d6084991f6e8e155aa57779774","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-31T16:23:58Z","title_canon_sha256":"eada37962943030dc1c4f39042b0ac42997e4008abc9bf30cb1e5cd6bb7f36d5"},"schema_version":"1.0","source":{"id":"2501.00527","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.00527","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"arxiv_version","alias_value":"2501.00527v1","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.00527","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_12","alias_value":"DI6DLFHFOUIW","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_16","alias_value":"DI6DLFHFOUIWRNK3","created_at":"2026-07-05T09:56:07Z"},{"alias_kind":"pith_short_8","alias_value":"DI6DLFHF","created_at":"2026-07-05T09:56:07Z"}],"graph_snapshots":[{"event_id":"sha256:57e0f0c3e00347548443fb9ed07818c0dc6f21666f8b5fd13ca78bf352ddcd39","target":"graph","created_at":"2026-07-05T09:56:07Z","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/2501.00527/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precision agriculture leverages data and machine learning so that farmers can monitor their crops and target interventions precisely. This enables the precision application of herbicide only to weeds, or the precision application of fertilizer only to undernourished crops, rather than to the entire field. The approach promises to maximize yields while minimizing resource use and harm to the surrounding environment. To this end, we propose a hierarchical panoptic segmentation method that simultaneously determines leaf count (as an identifier of plant growth)and locates weeds within an image. In","authors_text":"Elizabeth Sklar, Madeleine Darbyshire, Simon Parsons","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-31T16:23:58Z","title":"Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.00527","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:fbab6667563b9d2aeb00262a2a38647035b039c261dc9d763e1890ca8c5ea3b1","target":"record","created_at":"2026-07-05T09:56:07Z","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":"5049b4792eff0dc58a2542e9496290663fae79d6084991f6e8e155aa57779774","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-31T16:23:58Z","title_canon_sha256":"eada37962943030dc1c4f39042b0ac42997e4008abc9bf30cb1e5cd6bb7f36d5"},"schema_version":"1.0","source":{"id":"2501.00527","kind":"arxiv","version":1}},"canonical_sha256":"1a3c3594e5751168b55b0fb3a0d4d4030d7126925364a2400580822d970125bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1a3c3594e5751168b55b0fb3a0d4d4030d7126925364a2400580822d970125bd","first_computed_at":"2026-07-05T09:56:07.140385Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:07.140385Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AXv6y71Kk4d+VY8CsaNUM9jvwGZGmpSH05X9SZB5Wfx4t6NDewO/gubHkZPOzoeRcuhWTgMhntt+0jED3dNzDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:07.140868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.00527","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fbab6667563b9d2aeb00262a2a38647035b039c261dc9d763e1890ca8c5ea3b1","sha256:57e0f0c3e00347548443fb9ed07818c0dc6f21666f8b5fd13ca78bf352ddcd39"],"state_sha256":"b855038e4f016778ee37ca7eac4d6404170cb1bdad02af12105c7ed67c3cc13a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R3yLQ7mBXhXvol9ByheUyoeUo3Lm4aj5GW5u+35lWoCUZrAdZDCpVBaLUaUsSnSYFkwZK8RK+zhM+H1ozguRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T23:36:52.497228Z","bundle_sha256":"6d70ed75fa762bd94f5f645f5d324807b38ae089cfd02db4dc7ba598de5121fc"}}