{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WYJTW26BVCIB6OFPB6JHG5MOOD","short_pith_number":"pith:WYJTW26B","canonical_record":{"source":{"id":"2312.14154","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T18:59:30Z","cross_cats_sorted":[],"title_canon_sha256":"7705021b3c31647884d9de604f8e5723b6af1f142f821efaf4b0ba653122fc9a","abstract_canon_sha256":"dfdce183953858a84246b34edd4a43a434401483d55160e98e92fcc2182baebd"},"schema_version":"1.0"},"canonical_sha256":"b6133b6bc1a8901f38af0f9273758e70f9d7d5268fec63516d891bbd73a20b13","source":{"kind":"arxiv","id":"2312.14154","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.14154","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.14154v1","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.14154","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"WYJTW26BVCIB","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"WYJTW26BVCIB6OFP","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"WYJTW26B","created_at":"2026-07-05T07:27:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WYJTW26BVCIB6OFPB6JHG5MOOD","target":"record","payload":{"canonical_record":{"source":{"id":"2312.14154","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T18:59:30Z","cross_cats_sorted":[],"title_canon_sha256":"7705021b3c31647884d9de604f8e5723b6af1f142f821efaf4b0ba653122fc9a","abstract_canon_sha256":"dfdce183953858a84246b34edd4a43a434401483d55160e98e92fcc2182baebd"},"schema_version":"1.0"},"canonical_sha256":"b6133b6bc1a8901f38af0f9273758e70f9d7d5268fec63516d891bbd73a20b13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:27:00.897588Z","signature_b64":"EITzr47u6o7NorxmBO861MZnq+A9fQ2gB+1tgdfwmpqKIQsPah/cxo1UjhB6M2XSDaM9jT9PQ+mruPxCftHjCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6133b6bc1a8901f38af0f9273758e70f9d7d5268fec63516d891bbd73a20b13","last_reissued_at":"2026-07-05T07:27:00.897156Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:27:00.897156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.14154","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":"2026-07-05T07:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TRoyQ0nH2baVL1w2RLNAByWSQUgA2EknPd3xBtl5j76z/qceHf5zVTDPpEPKCIXtu+sYU+X9Pi1HKGuIa3CCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:09.369902Z"},"content_sha256":"dd5c019a437681d184d3e288e00762a0d5c58ab981bd70152554a742906b824a","schema_version":"1.0","event_id":"sha256:dd5c019a437681d184d3e288e00762a0d5c58ab981bd70152554a742906b824a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WYJTW26BVCIB6OFPB6JHG5MOOD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Virtual Pets: Animatable Animal Generation in 3D Scenes","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Schwing, Chaoyang Wang, Chieh Hubert Lin, Hsin-Ying Lee, Liangyan Gui, Sergey Tulyakov, Yash Kant, Yen-Chi Cheng","submitted_at":"2023-12-21T18:59:30Z","abstract_excerpt":"Toward unlocking the potential of generative models in immersive 4D experiences, we introduce Virtual Pet, a novel pipeline to model realistic and diverse motions for target animal species within a 3D environment. To circumvent the limited availability of 3D motion data aligned with environmental geometry, we leverage monocular internet videos and extract deformable NeRF representations for the foreground and static NeRF representations for the background. For this, we develop a reconstruction strategy, encompassing species-level shared template learning and per-video fine-tuning. Utilizing th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.14154","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/2312.14154/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":"2026-07-05T07:27:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TWRzJDCfrJ+TPOJrGzA2K/ymhPcPndUX67X3mJJUT6PaTrtRScS1CkSySbrkHUHziNd2I9+PCYIV0p6ck+7VDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T23:05:09.370444Z"},"content_sha256":"5f33419a3f7f57147b2c528b409895ba37b6ef409fc94960d7a717b607e47049","schema_version":"1.0","event_id":"sha256:5f33419a3f7f57147b2c528b409895ba37b6ef409fc94960d7a717b607e47049"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/bundle.json","state_url":"https://pith.science/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/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":"2026-08-17T23:05:09Z","links":{"resolver":"https://pith.science/pith/WYJTW26BVCIB6OFPB6JHG5MOOD","bundle":"https://pith.science/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/bundle.json","state":"https://pith.science/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WYJTW26BVCIB6OFPB6JHG5MOOD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WYJTW26BVCIB6OFPB6JHG5MOOD","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":"dfdce183953858a84246b34edd4a43a434401483d55160e98e92fcc2182baebd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T18:59:30Z","title_canon_sha256":"7705021b3c31647884d9de604f8e5723b6af1f142f821efaf4b0ba653122fc9a"},"schema_version":"1.0","source":{"id":"2312.14154","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.14154","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.14154v1","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.14154","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_12","alias_value":"WYJTW26BVCIB","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_16","alias_value":"WYJTW26BVCIB6OFP","created_at":"2026-07-05T07:27:00Z"},{"alias_kind":"pith_short_8","alias_value":"WYJTW26B","created_at":"2026-07-05T07:27:00Z"}],"graph_snapshots":[{"event_id":"sha256:5f33419a3f7f57147b2c528b409895ba37b6ef409fc94960d7a717b607e47049","target":"graph","created_at":"2026-07-05T07:27:00Z","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/2312.14154/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Toward unlocking the potential of generative models in immersive 4D experiences, we introduce Virtual Pet, a novel pipeline to model realistic and diverse motions for target animal species within a 3D environment. To circumvent the limited availability of 3D motion data aligned with environmental geometry, we leverage monocular internet videos and extract deformable NeRF representations for the foreground and static NeRF representations for the background. For this, we develop a reconstruction strategy, encompassing species-level shared template learning and per-video fine-tuning. Utilizing th","authors_text":"Alexander Schwing, Chaoyang Wang, Chieh Hubert Lin, Hsin-Ying Lee, Liangyan Gui, Sergey Tulyakov, Yash Kant, Yen-Chi Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T18:59:30Z","title":"Virtual Pets: Animatable Animal Generation in 3D Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.14154","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:dd5c019a437681d184d3e288e00762a0d5c58ab981bd70152554a742906b824a","target":"record","created_at":"2026-07-05T07:27:00Z","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":"dfdce183953858a84246b34edd4a43a434401483d55160e98e92fcc2182baebd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-21T18:59:30Z","title_canon_sha256":"7705021b3c31647884d9de604f8e5723b6af1f142f821efaf4b0ba653122fc9a"},"schema_version":"1.0","source":{"id":"2312.14154","kind":"arxiv","version":1}},"canonical_sha256":"b6133b6bc1a8901f38af0f9273758e70f9d7d5268fec63516d891bbd73a20b13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b6133b6bc1a8901f38af0f9273758e70f9d7d5268fec63516d891bbd73a20b13","first_computed_at":"2026-07-05T07:27:00.897156Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:27:00.897156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EITzr47u6o7NorxmBO861MZnq+A9fQ2gB+1tgdfwmpqKIQsPah/cxo1UjhB6M2XSDaM9jT9PQ+mruPxCftHjCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:27:00.897588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.14154","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd5c019a437681d184d3e288e00762a0d5c58ab981bd70152554a742906b824a","sha256:5f33419a3f7f57147b2c528b409895ba37b6ef409fc94960d7a717b607e47049"],"state_sha256":"ff875c036064ecc1a660b032712a88e217889a3ee4ae20ae81cbc84d7d6ea4a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gBj6e/LmArR4ReL2NVGl4WdFnrL9wmCHfBf0SOXbIbBy9p/iA2Ugm7OZnkNUQX7b287RRMa2yxOAAAQZDMUCBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T23:05:09.374595Z","bundle_sha256":"c0497771a7a470dfeb0167c2471cd86448bf9d3878650231ef3c1e73af614c28"}}