{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SMIDJYQ7AP6QLO5GQ25EXVGWTN","short_pith_number":"pith:SMIDJYQ7","canonical_record":{"source":{"id":"2606.12153","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T14:41:19Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"17ea6d95995be1ddf1ea8543d0d14a82dea9725eaf95853b89ec42ba62068eac","abstract_canon_sha256":"a22e75938f2d5eb02a515237efcb148404a60b6c9210d53c395b39b236c981ca"},"schema_version":"1.0"},"canonical_sha256":"931034e21f03fd05bba686ba4bd4d69b69280ce181322eadd9171d9e07d758a2","source":{"kind":"arxiv","id":"2606.12153","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12153","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12153v1","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12153","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"SMIDJYQ7AP6Q","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_16","alias_value":"SMIDJYQ7AP6QLO5G","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_8","alias_value":"SMIDJYQ7","created_at":"2026-06-11T01:10:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SMIDJYQ7AP6QLO5GQ25EXVGWTN","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12153","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T14:41:19Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"17ea6d95995be1ddf1ea8543d0d14a82dea9725eaf95853b89ec42ba62068eac","abstract_canon_sha256":"a22e75938f2d5eb02a515237efcb148404a60b6c9210d53c395b39b236c981ca"},"schema_version":"1.0"},"canonical_sha256":"931034e21f03fd05bba686ba4bd4d69b69280ce181322eadd9171d9e07d758a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:51.639832Z","signature_b64":"TohL03YoaPrVehFslx5/1a3zwDTZ+tCKdMACFhDqu1Z+/25bRKj1uQdzLXYFxFDgIpDzT4eYr4X8wNBJccZDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"931034e21f03fd05bba686ba4bd4d69b69280ce181322eadd9171d9e07d758a2","last_reissued_at":"2026-06-11T01:10:51.638987Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:51.638987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12153","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":"2026-06-11T01:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3RQzugX8Zm1AFuKVd9OP4zz1aJzM24r5Cy9BrufP54xE437zeM2gGo5hleqPn1Kc87CxX/OgP/adbN4G0zycAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T13:30:27.955399Z"},"content_sha256":"0cdc7a5757e1730d65a548c594556fb7d3e7ddc5cc7b34f666a1108309414ef9","schema_version":"1.0","event_id":"sha256:0cdc7a5757e1730d65a548c594556fb7d3e7ddc5cc7b34f666a1108309414ef9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SMIDJYQ7AP6QLO5GQ25EXVGWTN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Cheng-Feng Pu, Jia-Peng Zhang, Meng-Hao Guo, Shi-Min Hu, Yan-Pei Cao","submitted_at":"2026-06-10T14:41:19Z","abstract_excerpt":"The explosion of generative 3D assets has created a massive demand for animation, yet current motion capture methods remain brittle, restricted to species-specific templates (e.g., SMPL) or requiring labor-intensive manual rigging. We introduce TopoCap, the first unified framework capable of extracting motion from monocular video and retargeting it onto characters with arbitrary, unseen skeletal topologies, i.e., from bipeds to hexapods and inanimate objects, without test-time optimization. Our key insight is that while skeletal structures are combinatorial and discrete, the underlying physics"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12153","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/2606.12153/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":"2026-06-11T01:10:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"leRKdJQN2yENqHQNvh4Ro2O+wnU1u5Fe+HaOtQ+xviJyn0urUSiLAgCuEdEuN/rT7c70kraeTzol2tVwew+ABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T13:30:27.955765Z"},"content_sha256":"a695d1eed2d5f6c171212cc6be4bcf3d5a3fe0b4c0cc5f0bd995d48425fe047c","schema_version":"1.0","event_id":"sha256:a695d1eed2d5f6c171212cc6be4bcf3d5a3fe0b4c0cc5f0bd995d48425fe047c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/bundle.json","state_url":"https://pith.science/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/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":"2026-06-29T13:30:27Z","links":{"resolver":"https://pith.science/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN","bundle":"https://pith.science/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/bundle.json","state":"https://pith.science/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SMIDJYQ7AP6QLO5GQ25EXVGWTN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SMIDJYQ7AP6QLO5GQ25EXVGWTN","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":"a22e75938f2d5eb02a515237efcb148404a60b6c9210d53c395b39b236c981ca","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T14:41:19Z","title_canon_sha256":"17ea6d95995be1ddf1ea8543d0d14a82dea9725eaf95853b89ec42ba62068eac"},"schema_version":"1.0","source":{"id":"2606.12153","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12153","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12153v1","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12153","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_12","alias_value":"SMIDJYQ7AP6Q","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_16","alias_value":"SMIDJYQ7AP6QLO5G","created_at":"2026-06-11T01:10:51Z"},{"alias_kind":"pith_short_8","alias_value":"SMIDJYQ7","created_at":"2026-06-11T01:10:51Z"}],"graph_snapshots":[{"event_id":"sha256:a695d1eed2d5f6c171212cc6be4bcf3d5a3fe0b4c0cc5f0bd995d48425fe047c","target":"graph","created_at":"2026-06-11T01:10:51Z","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/2606.12153/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The explosion of generative 3D assets has created a massive demand for animation, yet current motion capture methods remain brittle, restricted to species-specific templates (e.g., SMPL) or requiring labor-intensive manual rigging. We introduce TopoCap, the first unified framework capable of extracting motion from monocular video and retargeting it onto characters with arbitrary, unseen skeletal topologies, i.e., from bipeds to hexapods and inanimate objects, without test-time optimization. Our key insight is that while skeletal structures are combinatorial and discrete, the underlying physics","authors_text":"Cheng-Feng Pu, Jia-Peng Zhang, Meng-Hao Guo, Shi-Min Hu, Yan-Pei Cao","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T14:41:19Z","title":"TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12153","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":"sha256:0cdc7a5757e1730d65a548c594556fb7d3e7ddc5cc7b34f666a1108309414ef9","target":"record","created_at":"2026-06-11T01:10:51Z","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":"a22e75938f2d5eb02a515237efcb148404a60b6c9210d53c395b39b236c981ca","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T14:41:19Z","title_canon_sha256":"17ea6d95995be1ddf1ea8543d0d14a82dea9725eaf95853b89ec42ba62068eac"},"schema_version":"1.0","source":{"id":"2606.12153","kind":"arxiv","version":1}},"canonical_sha256":"931034e21f03fd05bba686ba4bd4d69b69280ce181322eadd9171d9e07d758a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"931034e21f03fd05bba686ba4bd4d69b69280ce181322eadd9171d9e07d758a2","first_computed_at":"2026-06-11T01:10:51.638987Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:51.638987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TohL03YoaPrVehFslx5/1a3zwDTZ+tCKdMACFhDqu1Z+/25bRKj1uQdzLXYFxFDgIpDzT4eYr4X8wNBJccZDAg==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:51.639832Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12153","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0cdc7a5757e1730d65a548c594556fb7d3e7ddc5cc7b34f666a1108309414ef9","sha256:a695d1eed2d5f6c171212cc6be4bcf3d5a3fe0b4c0cc5f0bd995d48425fe047c"],"state_sha256":"2a65772356e8404523190e7fc17483ff622b69e06aadcafd38d1ff4ce191257a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RX7FfveBi2nxtnCjUyuyYMa2opb9YQJYuKcKhuhTo8wmh4P7cfm8+BF/4vpqYX4n3jHcQF+hI8ba9mbvIu47DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T13:30:27.957755Z","bundle_sha256":"019f1f05b77e354fa16a26d948900e1e71be46e4da8d98e5182709bc8be06ccd"}}