{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HQOMUZ47LCIZ7NRK42HZFHTT2O","short_pith_number":"pith:HQOMUZ47","canonical_record":{"source":{"id":"2311.12897","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2023-11-21T09:17:14Z","cross_cats_sorted":[],"title_canon_sha256":"3a77bc2fbf77451dca513729ed7eb6785d87d28fdff8de51bd06e946cf5348a0","abstract_canon_sha256":"74cdaa23f08ccbcb48cb16d439d848079b32bc8878499aa50b924377ae3a0a30"},"schema_version":"1.0"},"canonical_sha256":"3c1cca679f58919fb62ae68f929e73d3a636cd7e5bebd6245d48410ffffcdfcc","source":{"kind":"arxiv","id":"2311.12897","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.12897","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.12897v2","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12897","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"HQOMUZ47LCIZ","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_16","alias_value":"HQOMUZ47LCIZ7NRK","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_8","alias_value":"HQOMUZ47","created_at":"2026-07-05T08:40:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HQOMUZ47LCIZ7NRK42HZFHTT2O","target":"record","payload":{"canonical_record":{"source":{"id":"2311.12897","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2023-11-21T09:17:14Z","cross_cats_sorted":[],"title_canon_sha256":"3a77bc2fbf77451dca513729ed7eb6785d87d28fdff8de51bd06e946cf5348a0","abstract_canon_sha256":"74cdaa23f08ccbcb48cb16d439d848079b32bc8878499aa50b924377ae3a0a30"},"schema_version":"1.0"},"canonical_sha256":"3c1cca679f58919fb62ae68f929e73d3a636cd7e5bebd6245d48410ffffcdfcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:40:10.609199Z","signature_b64":"PXpZbRH0quuQ3ZnNdfmzPLJ4JDuTvl2FpJwR2RROtOmfFqx4ZoHQ/ENAaUBOoWuycu0r4K3LGL+O9GML1ZlvAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c1cca679f58919fb62ae68f929e73d3a636cd7e5bebd6245d48410ffffcdfcc","last_reissued_at":"2026-07-05T08:40:10.608768Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:40:10.608768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.12897","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrTEYk1v4jkZZgGfONeDpvI16ucEqzFjIWGjARlfW+FUZdTaccWAyKGEr/LRKTs1X4RT4GqFawRgIVHmRZE0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:21:22.265584Z"},"content_sha256":"f2f2b213b29a6056f7648721ee8067b7427d20dbe70672de15d78756e22fd170","schema_version":"1.0","event_id":"sha256:f2f2b213b29a6056f7648721ee8067b7427d20dbe70672de15d78756e22fd170"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HQOMUZ47LCIZ7NRK42HZFHTT2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Duc Minh Vo, Hideki Nakayama, Kai Katsumata","submitted_at":"2023-11-21T09:17:14Z","abstract_excerpt":"3D Gaussian Splatting (3DGS) has shown remarkable success in synthesizing novel views given multiple views of a static scene. Yet, 3DGS faces challenges when applied to dynamic scenes because 3D Gaussian parameters need to be updated per timestep, requiring a large amount of memory and at least a dozen observations per timestep. To address these limitations, we present a compact dynamic 3D Gaussian representation that models positions and rotations as functions of time with a few parameter approximations while keeping other properties of 3DGS including scale, color and opacity invariant. Our m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12897","kind":"arxiv","version":2},"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/2311.12897/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":"2026-07-05T08:40:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJtnCylW5xnQ9TkKruTnw0hVOl4fIDv4RZLqKlxiJrPg/2Ox0uMXb8fz+22UuT2csTJjk6Bd2aw8aVfnQRKBCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T20:21:22.266094Z"},"content_sha256":"e2fa471807455685b3f545c84400d6dc559cd8280c6a72877f3edffb3eb88881","schema_version":"1.0","event_id":"sha256:e2fa471807455685b3f545c84400d6dc559cd8280c6a72877f3edffb3eb88881"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/bundle.json","state_url":"https://pith.science/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/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":"2026-08-03T20:21:22Z","links":{"resolver":"https://pith.science/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O","bundle":"https://pith.science/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/bundle.json","state":"https://pith.science/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HQOMUZ47LCIZ7NRK42HZFHTT2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HQOMUZ47LCIZ7NRK42HZFHTT2O","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":"74cdaa23f08ccbcb48cb16d439d848079b32bc8878499aa50b924377ae3a0a30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2023-11-21T09:17:14Z","title_canon_sha256":"3a77bc2fbf77451dca513729ed7eb6785d87d28fdff8de51bd06e946cf5348a0"},"schema_version":"1.0","source":{"id":"2311.12897","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.12897","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"arxiv_version","alias_value":"2311.12897v2","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.12897","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_12","alias_value":"HQOMUZ47LCIZ","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_16","alias_value":"HQOMUZ47LCIZ7NRK","created_at":"2026-07-05T08:40:10Z"},{"alias_kind":"pith_short_8","alias_value":"HQOMUZ47","created_at":"2026-07-05T08:40:10Z"}],"graph_snapshots":[{"event_id":"sha256:e2fa471807455685b3f545c84400d6dc559cd8280c6a72877f3edffb3eb88881","target":"graph","created_at":"2026-07-05T08:40:10Z","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/2311.12897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D Gaussian Splatting (3DGS) has shown remarkable success in synthesizing novel views given multiple views of a static scene. Yet, 3DGS faces challenges when applied to dynamic scenes because 3D Gaussian parameters need to be updated per timestep, requiring a large amount of memory and at least a dozen observations per timestep. To address these limitations, we present a compact dynamic 3D Gaussian representation that models positions and rotations as functions of time with a few parameter approximations while keeping other properties of 3DGS including scale, color and opacity invariant. Our m","authors_text":"Duc Minh Vo, Hideki Nakayama, Kai Katsumata","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2023-11-21T09:17:14Z","title":"A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.12897","kind":"arxiv","version":2},"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:f2f2b213b29a6056f7648721ee8067b7427d20dbe70672de15d78756e22fd170","target":"record","created_at":"2026-07-05T08:40:10Z","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":"74cdaa23f08ccbcb48cb16d439d848079b32bc8878499aa50b924377ae3a0a30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GR","submitted_at":"2023-11-21T09:17:14Z","title_canon_sha256":"3a77bc2fbf77451dca513729ed7eb6785d87d28fdff8de51bd06e946cf5348a0"},"schema_version":"1.0","source":{"id":"2311.12897","kind":"arxiv","version":2}},"canonical_sha256":"3c1cca679f58919fb62ae68f929e73d3a636cd7e5bebd6245d48410ffffcdfcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c1cca679f58919fb62ae68f929e73d3a636cd7e5bebd6245d48410ffffcdfcc","first_computed_at":"2026-07-05T08:40:10.608768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:40:10.608768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PXpZbRH0quuQ3ZnNdfmzPLJ4JDuTvl2FpJwR2RROtOmfFqx4ZoHQ/ENAaUBOoWuycu0r4K3LGL+O9GML1ZlvAg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:40:10.609199Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.12897","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2f2b213b29a6056f7648721ee8067b7427d20dbe70672de15d78756e22fd170","sha256:e2fa471807455685b3f545c84400d6dc559cd8280c6a72877f3edffb3eb88881"],"state_sha256":"deece0b49497b1212854c9c8d612f21828e09d9c7f368915b532b19ab7cf03fa"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bxn712SsQU8u7jD19k0/3bO+MwsJWVaGYxkRVKFFGDQLFhq/PkFW5QI99Dj99K9zeGf+nI59YOl15DOdgvMODw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T20:21:22.271046Z","bundle_sha256":"81d5020da742ff26c49ccfea18e9118c108b5a64a995414d24fe3eedbf4a6213"}}