{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OKGUCLO2ULLBLQWKPORYKATNMP","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":"4bb14765fa7285f027d82a2a42a7d4d6544c7cde2b2dbddbbcd0763fc153ab1c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T12:10:53Z","title_canon_sha256":"e93ff5b02aff0e91ab45ba313f0c44d7d3b0421fc8fc22763224bebf5310eed4"},"schema_version":"1.0","source":{"id":"2412.10078","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.10078","created_at":"2026-07-05T09:48:46Z"},{"alias_kind":"arxiv_version","alias_value":"2412.10078v1","created_at":"2026-07-05T09:48:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.10078","created_at":"2026-07-05T09:48:46Z"},{"alias_kind":"pith_short_12","alias_value":"OKGUCLO2ULLB","created_at":"2026-07-05T09:48:46Z"},{"alias_kind":"pith_short_16","alias_value":"OKGUCLO2ULLBLQWK","created_at":"2026-07-05T09:48:46Z"},{"alias_kind":"pith_short_8","alias_value":"OKGUCLO2","created_at":"2026-07-05T09:48:46Z"}],"graph_snapshots":[{"event_id":"sha256:48c04ac93a7e346358a82355af0135c00d7f70c028c97140d80fb8f25813e231","target":"graph","created_at":"2026-07-05T09:48:46Z","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/2412.10078/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Currently, 3D rendering for large-scale free camera trajectories, namely, arbitrary input camera trajectories, poses significant challenges: 1) The distribution and observation angles of the cameras are irregular, and various types of scenes are included in the free trajectories; 2) Processing the entire point cloud and all images at once for large-scale scenes requires a substantial amount of GPU memory. This paper presents a Toy-GS method for accurately rendering large-scale free camera trajectories. Specifically, we propose an adaptive spatial division approach for free trajectories to divi","authors_text":"Junyan Su, Qi Liu, Xiaohan Zhang, Yukui Qiu, Zhenyu Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T12:10:53Z","title":"Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.10078","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":"sha256:998c1fb813f196f61b2befae46c2500d45cf781b6de33c0f46070419cfc3c0a0","target":"record","created_at":"2026-07-05T09:48:46Z","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":"4bb14765fa7285f027d82a2a42a7d4d6544c7cde2b2dbddbbcd0763fc153ab1c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-13T12:10:53Z","title_canon_sha256":"e93ff5b02aff0e91ab45ba313f0c44d7d3b0421fc8fc22763224bebf5310eed4"},"schema_version":"1.0","source":{"id":"2412.10078","kind":"arxiv","version":1}},"canonical_sha256":"728d412ddaa2d615c2ca7ba385026d63e0e3db5615c7eb6e7cab905878ce037c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"728d412ddaa2d615c2ca7ba385026d63e0e3db5615c7eb6e7cab905878ce037c","first_computed_at":"2026-07-05T09:48:46.732261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:48:46.732261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iMB8YNfHpPtZHonRrIUdBmQcuq81zpfri/yC4t+g0PPa9pXtcXb4O0ZNto0IUFVi2GyzkhNALBfEaM8rdEpvDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:48:46.732886Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.10078","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:998c1fb813f196f61b2befae46c2500d45cf781b6de33c0f46070419cfc3c0a0","sha256:48c04ac93a7e346358a82355af0135c00d7f70c028c97140d80fb8f25813e231"],"state_sha256":"a712a6315c2228be2e457d5db53c35d937829e4fcf1d6e50b898c01d5502884d"}