{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JA7AX4UURNTC3ZKV6Q3LRTAGSF","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":"2717a825f4dad96e2e19e1466ab08ea8d605a23e88a98fbe79f037395713d3ad","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-07T01:39:29Z","title_canon_sha256":"b75c709188e10363ecedd96db715c391a8734e7ef1600561e6a7455d476ef6cb"},"schema_version":"1.0","source":{"id":"2508.04966","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04966","created_at":"2026-07-05T11:50:04Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04966v1","created_at":"2026-07-05T11:50:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04966","created_at":"2026-07-05T11:50:04Z"},{"alias_kind":"pith_short_12","alias_value":"JA7AX4UURNTC","created_at":"2026-07-05T11:50:04Z"},{"alias_kind":"pith_short_16","alias_value":"JA7AX4UURNTC3ZKV","created_at":"2026-07-05T11:50:04Z"},{"alias_kind":"pith_short_8","alias_value":"JA7AX4UU","created_at":"2026-07-05T11:50:04Z"}],"graph_snapshots":[{"event_id":"sha256:2c47924c106fd0e4223f5c4ab3c622b2e5cbcbcaf4afa55512e68ca545d5e6b9","target":"graph","created_at":"2026-07-05T11:50:04Z","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/2508.04966/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While 3D Gaussian Splatting (3DGS) excels in static scene modeling, its extension to dynamic scenes introduces significant challenges. Existing dynamic 3DGS methods suffer from either over-smoothing due to low-rank decomposition or feature collision from high-dimensional grid sampling. This is because of the inherent spectral conflicts between preserving motion details and maintaining deformation consistency at different frequency. To address these challenges, we propose a novel dynamic 3DGS framework with hybrid explicit-implicit functions. Our approach contains three key innovations: a spect","authors_text":"Beizhen Zhao, Hao Wang, Pengcheng Wu, Yifan Zhou","cross_cats":["cs.CV","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-07T01:39:29Z","title":"Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04966","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:b0eaca6e6ec322f318b1217ceaedbd54e446a7cca2f3f4294972ca51b334cb2c","target":"record","created_at":"2026-07-05T11:50:04Z","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":"2717a825f4dad96e2e19e1466ab08ea8d605a23e88a98fbe79f037395713d3ad","cross_cats_sorted":["cs.CV","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-07T01:39:29Z","title_canon_sha256":"b75c709188e10363ecedd96db715c391a8734e7ef1600561e6a7455d476ef6cb"},"schema_version":"1.0","source":{"id":"2508.04966","kind":"arxiv","version":1}},"canonical_sha256":"483e0bf2948b662de555f436b8cc0691791e11814392231d894bfeafa6b5b2c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"483e0bf2948b662de555f436b8cc0691791e11814392231d894bfeafa6b5b2c3","first_computed_at":"2026-07-05T11:50:04.870538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:50:04.870538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cZv9WZJuIArUxLX1oa9NMc/EwwMI92hBu9xQBZwdwsmntEkzRaJ1tKcmRQI5r2IcEAy1/7XkwlI5uOle+uonDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:50:04.870920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.04966","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0eaca6e6ec322f318b1217ceaedbd54e446a7cca2f3f4294972ca51b334cb2c","sha256:2c47924c106fd0e4223f5c4ab3c622b2e5cbcbcaf4afa55512e68ca545d5e6b9"],"state_sha256":"21028c753c70c862c7b25e898142409c9fa915e174608aee312177865f1e952f"}