{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WYJP7YTPRVYBVXZYZLPKFYUMPP","short_pith_number":"pith:WYJP7YTP","canonical_record":{"source":{"id":"2411.11285","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T05:11:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"20d204a796c873b16c0deeef85d97a338b1e8d77b5e1bd18b8a175ad60e9a856","abstract_canon_sha256":"c5d5ce2b4ea9b9df3d4ca366c776bb01bc82d8b3b13a097646d7cd6ab099cca8"},"schema_version":"1.0"},"canonical_sha256":"b612ffe26f8d701adf38cadea2e28c7bec7035f3af2f1ba166c0bfbdcd66cc30","source":{"kind":"arxiv","id":"2411.11285","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11285","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11285v2","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11285","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_12","alias_value":"WYJP7YTPRVYB","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_16","alias_value":"WYJP7YTPRVYBVXZY","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_8","alias_value":"WYJP7YTP","created_at":"2026-07-05T10:21:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WYJP7YTPRVYBVXZYZLPKFYUMPP","target":"record","payload":{"canonical_record":{"source":{"id":"2411.11285","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T05:11:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"20d204a796c873b16c0deeef85d97a338b1e8d77b5e1bd18b8a175ad60e9a856","abstract_canon_sha256":"c5d5ce2b4ea9b9df3d4ca366c776bb01bc82d8b3b13a097646d7cd6ab099cca8"},"schema_version":"1.0"},"canonical_sha256":"b612ffe26f8d701adf38cadea2e28c7bec7035f3af2f1ba166c0bfbdcd66cc30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:26.306698Z","signature_b64":"n8G3iyvNgtnjald5ClAezXpBxT9CL8CTN5qze65wUNx97VZ7/OXEwS7kniBdQVuMc3iIuMwB1XEnmLOftmVrCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b612ffe26f8d701adf38cadea2e28c7bec7035f3af2f1ba166c0bfbdcd66cc30","last_reissued_at":"2026-07-05T10:21:26.306144Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:26.306144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.11285","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":"2026-07-05T10:21:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3vdwWKbHOSmWKPMe9X/Ip1LKejik30WyP/0HGXslcrPXsEXIZHKBxGv373IQ5ZyprT1ZGPDih6yzF+KYPkOuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T08:57:23.751171Z"},"content_sha256":"54768af3f394fb94c408842deb9bb96b74a8586a0b5889104ea978bdf9adc40a","schema_version":"1.0","event_id":"sha256:54768af3f394fb94c408842deb9bb96b74a8586a0b5889104ea978bdf9adc40a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WYJP7YTPRVYBVXZYZLPKFYUMPP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Achyut Paudel, Manoj Karkee, Ranjan Sapkota","submitted_at":"2024-11-18T05:11:29Z","abstract_excerpt":"Currently, deep learning-based instance segmentation for various applications (e.g., Agriculture) is predominantly performed using a labor-intensive process involving extensive field data collection using sophisticated sensors, followed by careful manual annotation of images, presenting significant logistical and financial challenges to researchers and organizations. The process also slows down the model development and training process. In this study, we presented a novel method for deep learning-based instance segmentation of apples in commercial orchards that eliminates the need for labor-i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11285","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/2411.11285/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":"2026-07-05T10:21:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CqwiPD1dPCt66KR+lqBT6ZivEJsr9iGtxcT8H0rX3Bx8joevKNwWykZd414er88/DWa8MPnRsPQpqJY6HuhGCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T08:57:23.751943Z"},"content_sha256":"73bcb3ebfdbf70cec3bc816c1a5bbf5b6dfda39dcfecf92317a2ac8dbf3a0106","schema_version":"1.0","event_id":"sha256:73bcb3ebfdbf70cec3bc816c1a5bbf5b6dfda39dcfecf92317a2ac8dbf3a0106"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/bundle.json","state_url":"https://pith.science/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/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":"2026-08-19T08:57:23Z","links":{"resolver":"https://pith.science/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP","bundle":"https://pith.science/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/bundle.json","state":"https://pith.science/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WYJP7YTPRVYBVXZYZLPKFYUMPP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WYJP7YTPRVYBVXZYZLPKFYUMPP","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":"c5d5ce2b4ea9b9df3d4ca366c776bb01bc82d8b3b13a097646d7cd6ab099cca8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T05:11:29Z","title_canon_sha256":"20d204a796c873b16c0deeef85d97a338b1e8d77b5e1bd18b8a175ad60e9a856"},"schema_version":"1.0","source":{"id":"2411.11285","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11285","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11285v2","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11285","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_12","alias_value":"WYJP7YTPRVYB","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_16","alias_value":"WYJP7YTPRVYBVXZY","created_at":"2026-07-05T10:21:26Z"},{"alias_kind":"pith_short_8","alias_value":"WYJP7YTP","created_at":"2026-07-05T10:21:26Z"}],"graph_snapshots":[{"event_id":"sha256:73bcb3ebfdbf70cec3bc816c1a5bbf5b6dfda39dcfecf92317a2ac8dbf3a0106","target":"graph","created_at":"2026-07-05T10:21:26Z","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/2411.11285/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Currently, deep learning-based instance segmentation for various applications (e.g., Agriculture) is predominantly performed using a labor-intensive process involving extensive field data collection using sophisticated sensors, followed by careful manual annotation of images, presenting significant logistical and financial challenges to researchers and organizations. The process also slows down the model development and training process. In this study, we presented a novel method for deep learning-based instance segmentation of apples in commercial orchards that eliminates the need for labor-i","authors_text":"Achyut Paudel, Manoj Karkee, Ranjan Sapkota","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T05:11:29Z","title":"Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11285","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":"sha256:54768af3f394fb94c408842deb9bb96b74a8586a0b5889104ea978bdf9adc40a","target":"record","created_at":"2026-07-05T10:21:26Z","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":"c5d5ce2b4ea9b9df3d4ca366c776bb01bc82d8b3b13a097646d7cd6ab099cca8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-18T05:11:29Z","title_canon_sha256":"20d204a796c873b16c0deeef85d97a338b1e8d77b5e1bd18b8a175ad60e9a856"},"schema_version":"1.0","source":{"id":"2411.11285","kind":"arxiv","version":2}},"canonical_sha256":"b612ffe26f8d701adf38cadea2e28c7bec7035f3af2f1ba166c0bfbdcd66cc30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b612ffe26f8d701adf38cadea2e28c7bec7035f3af2f1ba166c0bfbdcd66cc30","first_computed_at":"2026-07-05T10:21:26.306144Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:26.306144Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n8G3iyvNgtnjald5ClAezXpBxT9CL8CTN5qze65wUNx97VZ7/OXEwS7kniBdQVuMc3iIuMwB1XEnmLOftmVrCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:26.306698Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11285","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54768af3f394fb94c408842deb9bb96b74a8586a0b5889104ea978bdf9adc40a","sha256:73bcb3ebfdbf70cec3bc816c1a5bbf5b6dfda39dcfecf92317a2ac8dbf3a0106"],"state_sha256":"404acd4084f112ab270bb621ee0924c605993898a805b305f17105eee6c9a852"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iSw/iOzdvMxaZqmgHo9rEPQFqksLJSOfmIxPLnv2WwkRZjP59bpHFhN4ZVHmuqU5kG64/YrKAzNTfF0S302PDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T08:57:23.756644Z","bundle_sha256":"194685a259b3bebf45a93bb59bf21a31e24b3908fd0615c375fab9d61e997117"}}