{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SID67KV5UGG2LTAWQI4NXCVEIM","short_pith_number":"pith:SID67KV5","canonical_record":{"source":{"id":"2507.02403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T07:56:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"152c39324ce71496c047cc8669cfb3972a57ce84c7cf3f4ec0db0dea57a832e3","abstract_canon_sha256":"85730686a168d50e4134c28de1fb69e29b963811d304ebdd0182b8aa192bc0d4"},"schema_version":"1.0"},"canonical_sha256":"9207efaabda18da5cc168238db8aa4433b8b4b889fb8644b265b5d120bb4c79b","source":{"kind":"arxiv","id":"2507.02403","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02403","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02403v1","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02403","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_12","alias_value":"SID67KV5UGG2","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_16","alias_value":"SID67KV5UGG2LTAW","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_8","alias_value":"SID67KV5","created_at":"2026-07-05T11:31:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SID67KV5UGG2LTAWQI4NXCVEIM","target":"record","payload":{"canonical_record":{"source":{"id":"2507.02403","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T07:56:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"152c39324ce71496c047cc8669cfb3972a57ce84c7cf3f4ec0db0dea57a832e3","abstract_canon_sha256":"85730686a168d50e4134c28de1fb69e29b963811d304ebdd0182b8aa192bc0d4"},"schema_version":"1.0"},"canonical_sha256":"9207efaabda18da5cc168238db8aa4433b8b4b889fb8644b265b5d120bb4c79b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:31:17.666974Z","signature_b64":"yhjcBK9p4igzXtp1K4Cl9D/Zq7OyIBt9bJKeZuNZfEnOOvWouRbPhwP3IFWTQucB8KfE27dLdw1MoZB5FgX7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9207efaabda18da5cc168238db8aa4433b8b4b889fb8644b265b5d120bb4c79b","last_reissued_at":"2026-07-05T11:31:17.666478Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:31:17.666478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.02403","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":"2026-07-05T11:31:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"otMD0lvvVqeCwtcU46v7iLQQrLY/rgbrsxYUBwAgqlshbo35PZUJOtXrUX5dFOLUyPDved1e0Pda/PS7lRuCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:10:52.225710Z"},"content_sha256":"b7f13fac05f70f6d47e14cc3ed9f316e9c4aeead556ae96c442896ddfaaa280d","schema_version":"1.0","event_id":"sha256:b7f13fac05f70f6d47e14cc3ed9f316e9c4aeead556ae96c442896ddfaaa280d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SID67KV5UGG2LTAWQI4NXCVEIM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Mufhumudzi Muthivhi, Terence L. van Zyl","submitted_at":"2025-07-03T07:56:54Z","abstract_excerpt":"Wildlife re-identification aims to match individuals of the same species across different observations. Current state-of-the-art (SOTA) models rely on class labels to train supervised models for individual classification. This dependence on annotated data has driven the curation of numerous large-scale wildlife datasets. This study investigates self-supervised learning Self-Supervised Learning (SSL) for wildlife re-identification. We automatically extract two distinct views of an individual using temporal image pairs from camera trap data without supervision. The image pairs train a self-super"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02403","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/2507.02403/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":"2026-07-05T11:31:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"keJV38Bb81beDGKxITKlBCmdb90yVS+b+Hx7CrN7ggRPshn1nuevQjvYPXRRjIXPlbm2y8LFR2FoiL/PtPKgDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T10:10:52.226196Z"},"content_sha256":"0508d624bad692e2ff11e9f8f3917d4c35c27ce0f1139df3269eeb03400ded48","schema_version":"1.0","event_id":"sha256:0508d624bad692e2ff11e9f8f3917d4c35c27ce0f1139df3269eeb03400ded48"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SID67KV5UGG2LTAWQI4NXCVEIM/bundle.json","state_url":"https://pith.science/pith/SID67KV5UGG2LTAWQI4NXCVEIM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SID67KV5UGG2LTAWQI4NXCVEIM/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":"2026-08-08T10:10:52Z","links":{"resolver":"https://pith.science/pith/SID67KV5UGG2LTAWQI4NXCVEIM","bundle":"https://pith.science/pith/SID67KV5UGG2LTAWQI4NXCVEIM/bundle.json","state":"https://pith.science/pith/SID67KV5UGG2LTAWQI4NXCVEIM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SID67KV5UGG2LTAWQI4NXCVEIM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SID67KV5UGG2LTAWQI4NXCVEIM","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":"85730686a168d50e4134c28de1fb69e29b963811d304ebdd0182b8aa192bc0d4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T07:56:54Z","title_canon_sha256":"152c39324ce71496c047cc8669cfb3972a57ce84c7cf3f4ec0db0dea57a832e3"},"schema_version":"1.0","source":{"id":"2507.02403","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.02403","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"arxiv_version","alias_value":"2507.02403v1","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.02403","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_12","alias_value":"SID67KV5UGG2","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_16","alias_value":"SID67KV5UGG2LTAW","created_at":"2026-07-05T11:31:17Z"},{"alias_kind":"pith_short_8","alias_value":"SID67KV5","created_at":"2026-07-05T11:31:17Z"}],"graph_snapshots":[{"event_id":"sha256:0508d624bad692e2ff11e9f8f3917d4c35c27ce0f1139df3269eeb03400ded48","target":"graph","created_at":"2026-07-05T11:31:17Z","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/2507.02403/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wildlife re-identification aims to match individuals of the same species across different observations. Current state-of-the-art (SOTA) models rely on class labels to train supervised models for individual classification. This dependence on annotated data has driven the curation of numerous large-scale wildlife datasets. This study investigates self-supervised learning Self-Supervised Learning (SSL) for wildlife re-identification. We automatically extract two distinct views of an individual using temporal image pairs from camera trap data without supervision. The image pairs train a self-super","authors_text":"Mufhumudzi Muthivhi, Terence L. van Zyl","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T07:56:54Z","title":"Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.02403","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:b7f13fac05f70f6d47e14cc3ed9f316e9c4aeead556ae96c442896ddfaaa280d","target":"record","created_at":"2026-07-05T11:31:17Z","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":"85730686a168d50e4134c28de1fb69e29b963811d304ebdd0182b8aa192bc0d4","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-03T07:56:54Z","title_canon_sha256":"152c39324ce71496c047cc8669cfb3972a57ce84c7cf3f4ec0db0dea57a832e3"},"schema_version":"1.0","source":{"id":"2507.02403","kind":"arxiv","version":1}},"canonical_sha256":"9207efaabda18da5cc168238db8aa4433b8b4b889fb8644b265b5d120bb4c79b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9207efaabda18da5cc168238db8aa4433b8b4b889fb8644b265b5d120bb4c79b","first_computed_at":"2026-07-05T11:31:17.666478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:31:17.666478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yhjcBK9p4igzXtp1K4Cl9D/Zq7OyIBt9bJKeZuNZfEnOOvWouRbPhwP3IFWTQucB8KfE27dLdw1MoZB5FgX7BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:31:17.666974Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.02403","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7f13fac05f70f6d47e14cc3ed9f316e9c4aeead556ae96c442896ddfaaa280d","sha256:0508d624bad692e2ff11e9f8f3917d4c35c27ce0f1139df3269eeb03400ded48"],"state_sha256":"890c0b4f97cc9ea16cc105f858ca8a5847a7fd922e181dbb055fc274c66831b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QjhJSH0vQ7/paiOpVaxSQlmxyuf/z1N6jYxjBsUMvL8urtedWhz8tVVsdTsCD2b0JJWpaXe8wtR7hG1ooNfVCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T10:10:52.229457Z","bundle_sha256":"36245120ca02f509178d10139fe60be732f8e1ce78aae693537c18678c5b2656"}}