{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:FWKK7B3FAUTFOANLJ7LN73E4J5","short_pith_number":"pith:FWKK7B3F","canonical_record":{"source":{"id":"2303.06567","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-12T04:41:54Z","cross_cats_sorted":[],"title_canon_sha256":"89e1465a6e39166c496520b511cc07ff8581e787950631af4b881479ae752d55","abstract_canon_sha256":"08bc4dd263d4a4091af7d1ff09760651144bff43454a607d7745a76a4f5bd3af"},"schema_version":"1.0"},"canonical_sha256":"2d94af876505265701ab4fd6dfec9c4f410c61810bc9c00f201330cb3bb531f2","source":{"kind":"arxiv","id":"2303.06567","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06567","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06567v1","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06567","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"FWKK7B3FAUTF","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"FWKK7B3FAUTFOANL","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"FWKK7B3F","created_at":"2026-07-05T05:50:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:FWKK7B3FAUTFOANLJ7LN73E4J5","target":"record","payload":{"canonical_record":{"source":{"id":"2303.06567","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-12T04:41:54Z","cross_cats_sorted":[],"title_canon_sha256":"89e1465a6e39166c496520b511cc07ff8581e787950631af4b881479ae752d55","abstract_canon_sha256":"08bc4dd263d4a4091af7d1ff09760651144bff43454a607d7745a76a4f5bd3af"},"schema_version":"1.0"},"canonical_sha256":"2d94af876505265701ab4fd6dfec9c4f410c61810bc9c00f201330cb3bb531f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:50:20.370347Z","signature_b64":"cHT3uyOKptp4dlRFdeKufrET3EdinunLYJMa7Q+h+5TkmV2k6/N4uIDLg/H8nFi8nIBOutDijGBtuLGxaalvAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d94af876505265701ab4fd6dfec9c4f410c61810bc9c00f201330cb3bb531f2","last_reissued_at":"2026-07-05T05:50:20.369964Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:50:20.369964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.06567","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":"2026-07-05T05:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lZxwt7WqWN5W/ai35UleHnef9HKLhfFlHebXUGmJCuOtje8QVqCrHLuLmi3qkNLTaKE41zTA+tPF+UesUzRgDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:33:44.790022Z"},"content_sha256":"ba8387f30197a179f1e13fe6b385c5482c4fb96adbb3ef2abca3cc12c42ff66e","schema_version":"1.0","event_id":"sha256:ba8387f30197a179f1e13fe6b385c5482c4fb96adbb3ef2abca3cc12c42ff66e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:FWKK7B3FAUTFOANLJ7LN73E4J5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Monkey Swing Counting Algorithm Based on Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Chen, Jie Liu, Zhe-Ming Lu","submitted_at":"2023-03-12T04:41:54Z","abstract_excerpt":"This paper focuses on proposing a deep learning-based monkey swing counting algorithm. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkey swing counting. This research focuses on this gap and attempts to count the number of monkeys swinging their heads by deep learning. This paper further extends the traditional target detection algorithm. By analyzing the results of object detection, we localize the monkey's actions over a period of time. This paper analyzes the task of counting monkey head swings, and proposes the standard that accurately describes a mon"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06567","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/2303.06567/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":"2026-07-05T05:50:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DKeCz5GRX/PXYRFVg7gf0xMdw+ZcthyZW7qMsruwnj0Mwuc8BOB/CpLpeaR7Xo9dGHRs/vq63L0JaIZlMpgUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:33:44.790945Z"},"content_sha256":"498d6ac83e97b218355a297df47d806cbb418bb55b29f54ba1059353825ca6d6","schema_version":"1.0","event_id":"sha256:498d6ac83e97b218355a297df47d806cbb418bb55b29f54ba1059353825ca6d6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/bundle.json","state_url":"https://pith.science/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/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":"2026-08-04T17:33:44Z","links":{"resolver":"https://pith.science/pith/FWKK7B3FAUTFOANLJ7LN73E4J5","bundle":"https://pith.science/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/bundle.json","state":"https://pith.science/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FWKK7B3FAUTFOANLJ7LN73E4J5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:FWKK7B3FAUTFOANLJ7LN73E4J5","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":"08bc4dd263d4a4091af7d1ff09760651144bff43454a607d7745a76a4f5bd3af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-12T04:41:54Z","title_canon_sha256":"89e1465a6e39166c496520b511cc07ff8581e787950631af4b881479ae752d55"},"schema_version":"1.0","source":{"id":"2303.06567","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.06567","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"arxiv_version","alias_value":"2303.06567v1","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.06567","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_12","alias_value":"FWKK7B3FAUTF","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_16","alias_value":"FWKK7B3FAUTFOANL","created_at":"2026-07-05T05:50:20Z"},{"alias_kind":"pith_short_8","alias_value":"FWKK7B3F","created_at":"2026-07-05T05:50:20Z"}],"graph_snapshots":[{"event_id":"sha256:498d6ac83e97b218355a297df47d806cbb418bb55b29f54ba1059353825ca6d6","target":"graph","created_at":"2026-07-05T05:50:20Z","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/2303.06567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper focuses on proposing a deep learning-based monkey swing counting algorithm. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkey swing counting. This research focuses on this gap and attempts to count the number of monkeys swinging their heads by deep learning. This paper further extends the traditional target detection algorithm. By analyzing the results of object detection, we localize the monkey's actions over a period of time. This paper analyzes the task of counting monkey head swings, and proposes the standard that accurately describes a mon","authors_text":"Hao Chen, Jie Liu, Zhe-Ming Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-12T04:41:54Z","title":"A Monkey Swing Counting Algorithm Based on Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.06567","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:ba8387f30197a179f1e13fe6b385c5482c4fb96adbb3ef2abca3cc12c42ff66e","target":"record","created_at":"2026-07-05T05:50:20Z","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":"08bc4dd263d4a4091af7d1ff09760651144bff43454a607d7745a76a4f5bd3af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-03-12T04:41:54Z","title_canon_sha256":"89e1465a6e39166c496520b511cc07ff8581e787950631af4b881479ae752d55"},"schema_version":"1.0","source":{"id":"2303.06567","kind":"arxiv","version":1}},"canonical_sha256":"2d94af876505265701ab4fd6dfec9c4f410c61810bc9c00f201330cb3bb531f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d94af876505265701ab4fd6dfec9c4f410c61810bc9c00f201330cb3bb531f2","first_computed_at":"2026-07-05T05:50:20.369964Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:20.369964Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cHT3uyOKptp4dlRFdeKufrET3EdinunLYJMa7Q+h+5TkmV2k6/N4uIDLg/H8nFi8nIBOutDijGBtuLGxaalvAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:20.370347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.06567","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba8387f30197a179f1e13fe6b385c5482c4fb96adbb3ef2abca3cc12c42ff66e","sha256:498d6ac83e97b218355a297df47d806cbb418bb55b29f54ba1059353825ca6d6"],"state_sha256":"b6b5736b8af4e6a65d0561d3c92f31e2a038c8812b848911255052fa67ca7b9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L/JlPHfuh4NjMJi+3cV8LfNN8GLvRG4vw7ApuRY8ddQ35X18K2nlCzW8GVtaN3z56b1886msfbjDxFkBt09+DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:33:44.799726Z","bundle_sha256":"f8a7999efb8a0beb8df51e9d4a6acd66a862c00d8e7a6b3dc57b00c0ad0871c7"}}