{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6OH7CAGE4NM6DHYVHSMGI527YC","short_pith_number":"pith:6OH7CAGE","canonical_record":{"source":{"id":"2305.10254","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T14:43:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5d758b4bd33b66e53205a10d91c486c788cfc96dcb5cfd3105eded13c7910367","abstract_canon_sha256":"ce2c5f5cf39b86e3f12fe9d2e6939c8b75bdf1b3d3833f90d8f4e108ca4e0f7e"},"schema_version":"1.0"},"canonical_sha256":"f38ff100c4e359e19f153c9864775fc08288be8646361d6852939d1d1f5908d5","source":{"kind":"arxiv","id":"2305.10254","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10254","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10254v1","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10254","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"6OH7CAGE4NM6","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_16","alias_value":"6OH7CAGE4NM6DHYV","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_8","alias_value":"6OH7CAGE","created_at":"2026-07-05T06:11:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6OH7CAGE4NM6DHYVHSMGI527YC","target":"record","payload":{"canonical_record":{"source":{"id":"2305.10254","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T14:43:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5d758b4bd33b66e53205a10d91c486c788cfc96dcb5cfd3105eded13c7910367","abstract_canon_sha256":"ce2c5f5cf39b86e3f12fe9d2e6939c8b75bdf1b3d3833f90d8f4e108ca4e0f7e"},"schema_version":"1.0"},"canonical_sha256":"f38ff100c4e359e19f153c9864775fc08288be8646361d6852939d1d1f5908d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:11.791940Z","signature_b64":"gm3nIVP5VxtirK41I8X3TJNtonBaJvOXsHWugmMPy1MWYxKZYoBjuinvFM2hIzTE42Zn2Vb7pcCR37PE0KvEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f38ff100c4e359e19f153c9864775fc08288be8646361d6852939d1d1f5908d5","last_reissued_at":"2026-07-05T06:11:11.791414Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:11.791414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.10254","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":"2026-07-05T06:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Zho/EB3X44RONKNu09lPI106igqb275OT4d+m4WVmsDME3JNMrva+ImQkB7SdcBVHZsxojSVorQpsDaliozuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:59:46.149542Z"},"content_sha256":"390d07fe38e27f89e375d7b13a3adaeacd86922eda6dc1f35be9b9d1799ddfa5","schema_version":"1.0","event_id":"sha256:390d07fe38e27f89e375d7b13a3adaeacd86922eda6dc1f35be9b9d1799ddfa5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6OH7CAGE4NM6DHYVHSMGI527YC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SAM for Poultry Science","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Changying Li, Guoyu Lu, Haixing Dai, Jin Sun, Lilong Chai, Ramesh Bist, Sachin Subedi, Tianming Liu, Xiao Yang, Zihao Wu","submitted_at":"2023-05-17T14:43:05Z","abstract_excerpt":"In recent years, the agricultural industry has witnessed significant advancements in artificial intelligence (AI), particularly with the development of large-scale foundational models. Among these foundation models, the Segment Anything Model (SAM), introduced by Meta AI Research, stands out as a groundbreaking solution for object segmentation tasks. While SAM has shown success in various agricultural applications, its potential in the poultry industry, specifically in the context of cage-free hens, remains relatively unexplored. This study aims to assess the zero-shot segmentation performance"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10254","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/2305.10254/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":"2026-07-05T06:11:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zdmU3Z4qMvITCLsmMM/RV/XIeJsBrCgaEZ7EpK7CT36NoSHYwGf1eSbttA1pockMGXqzirpAvkrnMkJSaUygCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:59:46.149919Z"},"content_sha256":"c33ec7e7da6737b96ae8edb69588af3b118c15e4d82fbd25065454d2cc42d5cd","schema_version":"1.0","event_id":"sha256:c33ec7e7da6737b96ae8edb69588af3b118c15e4d82fbd25065454d2cc42d5cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6OH7CAGE4NM6DHYVHSMGI527YC/bundle.json","state_url":"https://pith.science/pith/6OH7CAGE4NM6DHYVHSMGI527YC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6OH7CAGE4NM6DHYVHSMGI527YC/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":"2026-07-07T07:59:46Z","links":{"resolver":"https://pith.science/pith/6OH7CAGE4NM6DHYVHSMGI527YC","bundle":"https://pith.science/pith/6OH7CAGE4NM6DHYVHSMGI527YC/bundle.json","state":"https://pith.science/pith/6OH7CAGE4NM6DHYVHSMGI527YC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6OH7CAGE4NM6DHYVHSMGI527YC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6OH7CAGE4NM6DHYVHSMGI527YC","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":"ce2c5f5cf39b86e3f12fe9d2e6939c8b75bdf1b3d3833f90d8f4e108ca4e0f7e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T14:43:05Z","title_canon_sha256":"5d758b4bd33b66e53205a10d91c486c788cfc96dcb5cfd3105eded13c7910367"},"schema_version":"1.0","source":{"id":"2305.10254","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10254","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10254v1","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10254","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"6OH7CAGE4NM6","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_16","alias_value":"6OH7CAGE4NM6DHYV","created_at":"2026-07-05T06:11:11Z"},{"alias_kind":"pith_short_8","alias_value":"6OH7CAGE","created_at":"2026-07-05T06:11:11Z"}],"graph_snapshots":[{"event_id":"sha256:c33ec7e7da6737b96ae8edb69588af3b118c15e4d82fbd25065454d2cc42d5cd","target":"graph","created_at":"2026-07-05T06:11:11Z","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/2305.10254/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, the agricultural industry has witnessed significant advancements in artificial intelligence (AI), particularly with the development of large-scale foundational models. Among these foundation models, the Segment Anything Model (SAM), introduced by Meta AI Research, stands out as a groundbreaking solution for object segmentation tasks. While SAM has shown success in various agricultural applications, its potential in the poultry industry, specifically in the context of cage-free hens, remains relatively unexplored. This study aims to assess the zero-shot segmentation performance","authors_text":"Changying Li, Guoyu Lu, Haixing Dai, Jin Sun, Lilong Chai, Ramesh Bist, Sachin Subedi, Tianming Liu, Xiao Yang, Zihao Wu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T14:43:05Z","title":"SAM for Poultry Science"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10254","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":"sha256:390d07fe38e27f89e375d7b13a3adaeacd86922eda6dc1f35be9b9d1799ddfa5","target":"record","created_at":"2026-07-05T06:11:11Z","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":"ce2c5f5cf39b86e3f12fe9d2e6939c8b75bdf1b3d3833f90d8f4e108ca4e0f7e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-17T14:43:05Z","title_canon_sha256":"5d758b4bd33b66e53205a10d91c486c788cfc96dcb5cfd3105eded13c7910367"},"schema_version":"1.0","source":{"id":"2305.10254","kind":"arxiv","version":1}},"canonical_sha256":"f38ff100c4e359e19f153c9864775fc08288be8646361d6852939d1d1f5908d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f38ff100c4e359e19f153c9864775fc08288be8646361d6852939d1d1f5908d5","first_computed_at":"2026-07-05T06:11:11.791414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:11.791414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gm3nIVP5VxtirK41I8X3TJNtonBaJvOXsHWugmMPy1MWYxKZYoBjuinvFM2hIzTE42Zn2Vb7pcCR37PE0KvEBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:11.791940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.10254","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:390d07fe38e27f89e375d7b13a3adaeacd86922eda6dc1f35be9b9d1799ddfa5","sha256:c33ec7e7da6737b96ae8edb69588af3b118c15e4d82fbd25065454d2cc42d5cd"],"state_sha256":"7d521f75c30205d5eac873320548cc2db008428565e370be29ded4fd63ed76e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JulOzZVQgqzlXtPT9j6vVwWvtveVR2plYQ0GTCrfJ5cUmdq19geVcioFaODnof2c4Wq0VznDb5tGpvGk7NbsDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:59:46.151797Z","bundle_sha256":"c071c4dd17a00b4e0b61d3eedaf8eee02c3cad73d5fec8d57a3331953df4704d"}}