{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ROIPYLZAD3OYOAIF3KPCWZEZHS","short_pith_number":"pith:ROIPYLZA","canonical_record":{"source":{"id":"2309.03671","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-07T12:19:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"37bb296399906ae9fa78013812b55ed3862ac6bb5faab603f761063bf392d37c","abstract_canon_sha256":"73d471aa63effdefd90282a81d387364396fd4ae7f4e8732f16c54585e4351fa"},"schema_version":"1.0"},"canonical_sha256":"8b90fc2f201edd870105da9e2b64993cab0fc040dedff010164593d9d9d5ef68","source":{"kind":"arxiv","id":"2309.03671","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.03671","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"arxiv_version","alias_value":"2309.03671v1","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.03671","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_12","alias_value":"ROIPYLZAD3OY","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_16","alias_value":"ROIPYLZAD3OYOAIF","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_8","alias_value":"ROIPYLZA","created_at":"2026-07-05T06:48:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ROIPYLZAD3OYOAIF3KPCWZEZHS","target":"record","payload":{"canonical_record":{"source":{"id":"2309.03671","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-07T12:19:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"37bb296399906ae9fa78013812b55ed3862ac6bb5faab603f761063bf392d37c","abstract_canon_sha256":"73d471aa63effdefd90282a81d387364396fd4ae7f4e8732f16c54585e4351fa"},"schema_version":"1.0"},"canonical_sha256":"8b90fc2f201edd870105da9e2b64993cab0fc040dedff010164593d9d9d5ef68","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:48:40.338555Z","signature_b64":"7l4DCgdnNEDe/GEs661s6NnioFP7964KufGOXwpGkqiG1eVxqL+o8pOYvGPawbR64XKaS4a3+ojaDYcD5G2dBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b90fc2f201edd870105da9e2b64993cab0fc040dedff010164593d9d9d5ef68","last_reissued_at":"2026-07-05T06:48:40.338083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:48:40.338083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.03671","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":"2026-07-05T06:48:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MfMwkhuJFOqLKI/JxNUbj5KIQgHlNTVFugym3Gj6kFqDfn/bApRPur5YIAgLZ3Fie4ORzi6a3UmHookpD2UfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:34:03.807784Z"},"content_sha256":"a2ee21708f2f0cc3224deec35b96a187e072038979131957d4fdf403c11a17d0","schema_version":"1.0","event_id":"sha256:a2ee21708f2f0cc3224deec35b96a187e072038979131957d4fdf403c11a17d0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ROIPYLZAD3OYOAIF3KPCWZEZHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dataset Generation and Bonobo Classification from Weakly Labelled Videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Pierre-Etienne Martin","submitted_at":"2023-09-07T12:19:51Z","abstract_excerpt":"This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos in their enclosure using touch screen devices without human assistance. This work introduces a newly acquired dataset based on bonobo recordings generated semi-automatically. The recordings are weakly labelled and fed to a macaque detector in order to spatially detect the individual present in the video. Handcrafted features coupled with different classification algorithms and deep-learning methods using a ResNet arc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.03671","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/2309.03671/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":"2026-07-05T06:48:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tA5n98o5zbuwdhvoQrwCJ/U119eVR3Z8CKFQ8Jtk4RDl8tksvp9OZZGmPiuBiqd5+DKpHAAGbZ8PdlwV/vPqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T14:34:03.808617Z"},"content_sha256":"7205750d15c8956df232cf632358d67e52d3b7f4a6735dbeb4b4aa7ced4b0510","schema_version":"1.0","event_id":"sha256:7205750d15c8956df232cf632358d67e52d3b7f4a6735dbeb4b4aa7ced4b0510"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/bundle.json","state_url":"https://pith.science/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/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":"2026-08-21T14:34:03Z","links":{"resolver":"https://pith.science/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS","bundle":"https://pith.science/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/bundle.json","state":"https://pith.science/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ROIPYLZAD3OYOAIF3KPCWZEZHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ROIPYLZAD3OYOAIF3KPCWZEZHS","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":"73d471aa63effdefd90282a81d387364396fd4ae7f4e8732f16c54585e4351fa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-07T12:19:51Z","title_canon_sha256":"37bb296399906ae9fa78013812b55ed3862ac6bb5faab603f761063bf392d37c"},"schema_version":"1.0","source":{"id":"2309.03671","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.03671","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"arxiv_version","alias_value":"2309.03671v1","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.03671","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_12","alias_value":"ROIPYLZAD3OY","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_16","alias_value":"ROIPYLZAD3OYOAIF","created_at":"2026-07-05T06:48:40Z"},{"alias_kind":"pith_short_8","alias_value":"ROIPYLZA","created_at":"2026-07-05T06:48:40Z"}],"graph_snapshots":[{"event_id":"sha256:7205750d15c8956df232cf632358d67e52d3b7f4a6735dbeb4b4aa7ced4b0510","target":"graph","created_at":"2026-07-05T06:48:40Z","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/2309.03671/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos in their enclosure using touch screen devices without human assistance. This work introduces a newly acquired dataset based on bonobo recordings generated semi-automatically. The recordings are weakly labelled and fed to a macaque detector in order to spatially detect the individual present in the video. Handcrafted features coupled with different classification algorithms and deep-learning methods using a ResNet arc","authors_text":"Pierre-Etienne Martin","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-07T12:19:51Z","title":"Dataset Generation and Bonobo Classification from Weakly Labelled Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.03671","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:a2ee21708f2f0cc3224deec35b96a187e072038979131957d4fdf403c11a17d0","target":"record","created_at":"2026-07-05T06:48:40Z","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":"73d471aa63effdefd90282a81d387364396fd4ae7f4e8732f16c54585e4351fa","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-07T12:19:51Z","title_canon_sha256":"37bb296399906ae9fa78013812b55ed3862ac6bb5faab603f761063bf392d37c"},"schema_version":"1.0","source":{"id":"2309.03671","kind":"arxiv","version":1}},"canonical_sha256":"8b90fc2f201edd870105da9e2b64993cab0fc040dedff010164593d9d9d5ef68","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b90fc2f201edd870105da9e2b64993cab0fc040dedff010164593d9d9d5ef68","first_computed_at":"2026-07-05T06:48:40.338083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:48:40.338083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7l4DCgdnNEDe/GEs661s6NnioFP7964KufGOXwpGkqiG1eVxqL+o8pOYvGPawbR64XKaS4a3+ojaDYcD5G2dBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:48:40.338555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.03671","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2ee21708f2f0cc3224deec35b96a187e072038979131957d4fdf403c11a17d0","sha256:7205750d15c8956df232cf632358d67e52d3b7f4a6735dbeb4b4aa7ced4b0510"],"state_sha256":"e3becff8ea09dbf4ea486f4684175a82e9a8f221f54a6a83ef7b548922a888ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VpSRYSqPh6Zn2GW5viNnvJo/8ypT4FfRJ3WuMAvC+s6KCHpykfqs71VKtBLyvqGW9MTNAYpoHXuRDuTZVNDEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T14:34:03.813943Z","bundle_sha256":"2ad1c009ce09ecf3371e7dea2e2adce2e4ced4683ee96b869e463645856626c9"}}