{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:LM6HUNS23VFHVPWVBM3X5PJCF2","short_pith_number":"pith:LM6HUNS2","canonical_record":{"source":{"id":"2407.01244","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T12:39:50Z","cross_cats_sorted":[],"title_canon_sha256":"bc1e9c9ea6cee39da58512c79aa350e89b9471dd3817b92f0c8f5e048ddf3275","abstract_canon_sha256":"76e2ab89138680a5018356b49c75a43417f70f3deb149fc6a9b505230105fda5"},"schema_version":"1.0"},"canonical_sha256":"5b3c7a365add4a7abed50b377ebd222eb2389c22fe469b5fca7bf606d24dddd2","source":{"kind":"arxiv","id":"2407.01244","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01244","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01244v1","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01244","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"LM6HUNS23VFH","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"LM6HUNS23VFHVPWV","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"LM6HUNS2","created_at":"2026-07-05T08:38:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:LM6HUNS23VFHVPWVBM3X5PJCF2","target":"record","payload":{"canonical_record":{"source":{"id":"2407.01244","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T12:39:50Z","cross_cats_sorted":[],"title_canon_sha256":"bc1e9c9ea6cee39da58512c79aa350e89b9471dd3817b92f0c8f5e048ddf3275","abstract_canon_sha256":"76e2ab89138680a5018356b49c75a43417f70f3deb149fc6a9b505230105fda5"},"schema_version":"1.0"},"canonical_sha256":"5b3c7a365add4a7abed50b377ebd222eb2389c22fe469b5fca7bf606d24dddd2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:38:45.048403Z","signature_b64":"LphG5sW4R76LFnUzfmNU4P5y0lyOqhTlsHPp/qq6sfg+N00erhAOmWGPYgISncYkynlNL7ZZHm2aOBIX2ZSFBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b3c7a365add4a7abed50b377ebd222eb2389c22fe469b5fca7bf606d24dddd2","last_reissued_at":"2026-07-05T08:38:45.047923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:38:45.047923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.01244","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":"2026-07-05T08:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fVag6EijH9dtTD6+M/JP2Y31LxW3RpZDhzD+W7BXzbKUk+B2KpOTxJI9XhXIw8VQjFQ6eb8gDurNKHzKVUBOCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:51:57.850729Z"},"content_sha256":"e21cd670cc048a178d879032dfa7ac97d0524ef581224b72ee9c53fa2f2ef00a","schema_version":"1.0","event_id":"sha256:e21cd670cc048a178d879032dfa7ac97d0524ef581224b72ee9c53fa2f2ef00a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:LM6HUNS23VFHVPWVBM3X5PJCF2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ci Li, Elin Hernlund, Hedvig Kjellstr\\\"om, Silvia Zuffi","submitted_at":"2024-07-01T12:39:50Z","abstract_excerpt":"In the monocular setting, predicting 3D pose and shape of animals typically relies solely on visual information, which is highly under-constrained. In this work, we explore using audio to enhance 3D shape and motion recovery of horses from monocular video. We test our approach on two datasets: an indoor treadmill dataset for 3D evaluation and an outdoor dataset capturing diverse horse movements, the latter being a contribution to this study. Our results show that incorporating sound with visual data leads to more accurate and robust motion regression. This study is the first to investigate aud"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01244","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/2407.01244/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":"2026-07-05T08:38:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aepahOWFEknEJ61QoBdKEL/BfZR06xdG0RaWAZWIg8Fl09TwMtrnGD/aqVGwsnPQAxlwB33oGm7QchsQD1oMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T07:51:57.851253Z"},"content_sha256":"07b327cffb4b5e9fd89c57754058d5dce7c84f77593cb41f985d09207c52c282","schema_version":"1.0","event_id":"sha256:07b327cffb4b5e9fd89c57754058d5dce7c84f77593cb41f985d09207c52c282"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/bundle.json","state_url":"https://pith.science/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/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":"2026-08-06T07:51:57Z","links":{"resolver":"https://pith.science/pith/LM6HUNS23VFHVPWVBM3X5PJCF2","bundle":"https://pith.science/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/bundle.json","state":"https://pith.science/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LM6HUNS23VFHVPWVBM3X5PJCF2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LM6HUNS23VFHVPWVBM3X5PJCF2","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":"76e2ab89138680a5018356b49c75a43417f70f3deb149fc6a9b505230105fda5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T12:39:50Z","title_canon_sha256":"bc1e9c9ea6cee39da58512c79aa350e89b9471dd3817b92f0c8f5e048ddf3275"},"schema_version":"1.0","source":{"id":"2407.01244","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01244","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01244v1","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01244","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_12","alias_value":"LM6HUNS23VFH","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_16","alias_value":"LM6HUNS23VFHVPWV","created_at":"2026-07-05T08:38:45Z"},{"alias_kind":"pith_short_8","alias_value":"LM6HUNS2","created_at":"2026-07-05T08:38:45Z"}],"graph_snapshots":[{"event_id":"sha256:07b327cffb4b5e9fd89c57754058d5dce7c84f77593cb41f985d09207c52c282","target":"graph","created_at":"2026-07-05T08:38:45Z","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/2407.01244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the monocular setting, predicting 3D pose and shape of animals typically relies solely on visual information, which is highly under-constrained. In this work, we explore using audio to enhance 3D shape and motion recovery of horses from monocular video. We test our approach on two datasets: an indoor treadmill dataset for 3D evaluation and an outdoor dataset capturing diverse horse movements, the latter being a contribution to this study. Our results show that incorporating sound with visual data leads to more accurate and robust motion regression. This study is the first to investigate aud","authors_text":"Ci Li, Elin Hernlund, Hedvig Kjellstr\\\"om, Silvia Zuffi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T12:39:50Z","title":"CLHOP: Combined Audio-Video Learning for Horse 3D Pose and Shape Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01244","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:e21cd670cc048a178d879032dfa7ac97d0524ef581224b72ee9c53fa2f2ef00a","target":"record","created_at":"2026-07-05T08:38:45Z","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":"76e2ab89138680a5018356b49c75a43417f70f3deb149fc6a9b505230105fda5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T12:39:50Z","title_canon_sha256":"bc1e9c9ea6cee39da58512c79aa350e89b9471dd3817b92f0c8f5e048ddf3275"},"schema_version":"1.0","source":{"id":"2407.01244","kind":"arxiv","version":1}},"canonical_sha256":"5b3c7a365add4a7abed50b377ebd222eb2389c22fe469b5fca7bf606d24dddd2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b3c7a365add4a7abed50b377ebd222eb2389c22fe469b5fca7bf606d24dddd2","first_computed_at":"2026-07-05T08:38:45.047923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:38:45.047923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LphG5sW4R76LFnUzfmNU4P5y0lyOqhTlsHPp/qq6sfg+N00erhAOmWGPYgISncYkynlNL7ZZHm2aOBIX2ZSFBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:38:45.048403Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01244","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e21cd670cc048a178d879032dfa7ac97d0524ef581224b72ee9c53fa2f2ef00a","sha256:07b327cffb4b5e9fd89c57754058d5dce7c84f77593cb41f985d09207c52c282"],"state_sha256":"63b2b131011665add6e3c147321c71dccce08700ed1eb77ddacf0163316f634d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aGEHcrgSt9GoS9K56Sod40i41zF3wpGdMA8ssf+/TVYaCKvBLUz1fAKPSIXA5ACh1oeGYBBe2CkSnNpSdhK5Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T07:51:57.859788Z","bundle_sha256":"dcf50ba91a7f1d042734f2d84aa46e45fdd1c88a8f4ceb7b825ae06d87f22650"}}