{"as_of":"2026-08-07T09:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c1b07f19c95bbdba6cc35b55c6572b9bf8bb9f42e4d99a388e7f0ebf47bbd234","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T07:30:39.964357Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.21448/citation-record","integrity":"/paper/2607.21448/integrity","json":"/paper/2607.21448/citation-record.json","paper":"/paper/2607.21448"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.591570Z","title":"Neu- ral 3D Video Synthesis from Multi-view Video,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.591570Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:584510e3f4065efa1ef6af59001469ce7e53128281d52bf6aaa6248c50e0acd0","observation_id":"257e0b8b-b95d-4e38-aa79-141117158f6d","resolution":{"observed_at":"2026-08-01T07:30:35.591570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.665211Z","title":"Real-Time Free Viewpoint Video Synthesis System Based on DIBR and a Depth Estimation Network,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.665211Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:ab19644a1466c044b20abf93e3b5b4f659702e6efa9117ba35e982e64044dd42","observation_id":"00dd7739-ccc3-4158-bb42-d35a99ed70ed","resolution":{"observed_at":"2026-08-01T07:30:35.665211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.732365Z","title":"Advancing Generalizable Occlusion Modeling for Neural Human Radiance Field,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.732365Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:da9e31d72b796f6e0c2ed8d5b19fc0db2e4cf658cf654cc43f064402abcde51d","observation_id":"4fe4e88b-8933-4ec7-b9e4-d7cf2b82bd4a","resolution":{"observed_at":"2026-08-01T07:30:35.732365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.810178Z","title":"GS-SFS: Joint Gaussian Splatting and Shape-From-Silhouette for Multiple Human Reconstruction in Large-Scale Sports Scenes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.810178Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:6d6e085e951fa481d0f35ef2698c7f13ac5a307daf95b796136e589b64170f32","observation_id":"ff9bb448-33ab-442d-b3a6-f6fee55437b8","resolution":{"observed_at":"2026-08-01T07:30:35.810178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.909010Z","title":"Neural V olumetric Video Coding With Hierarchical Coded Representation of Dynamic V olume,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.909010Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:3bd5c372d53c7d571f7f4a1e8e115b5bd1c8746cad5b5e26639d0e5223b0bf85","observation_id":"447c8c21-8502-47d4-b81f-874c803f58ec","resolution":{"observed_at":"2026-08-01T07:30:35.909010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:35.999722Z","title":"Neural Body: Implicit Neural Representations with Structured La- tent Codes for Novel View Synthesis of Dynamic Humans,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:35.999722Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:e9bf93d5ab56a2c1face84db534cbffca1f3dc6f665e1f48aa422784a5922624","observation_id":"e45f8233-fa6d-4344-a29d-2f2fc38c8c2d","resolution":{"observed_at":"2026-08-01T07:30:35.999722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.075550Z","title":"4K4D: Real-Time 4D View Synthesis at 4K Resolution,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.075550Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:459e2e4cde7aff48141356fd70b20c647b27e14b6a304c9d4907d389d284a8e2","observation_id":"70caa553-85a6-4730-94f5-e6103c34d257","resolution":{"observed_at":"2026-08-01T07:30:36.075550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.170254Z","title":"Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.170254Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:a6aa6c8abecf658e0bfe7e1d283a9935e62eb001afe14aa599979a4a7fb1a0c1","observation_id":"9e3fdb57-f853-4a45-9f51-38ae1dc7596d","resolution":{"observed_at":"2026-08-01T07:30:36.170254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.247561Z","title":"Monocular Dynamic View Synthesis: A Reality Check,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.247561Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:17859e1e4142a17acbc148248adf3a4e43a5edb6c2e7bbd3ffbb844b19dd2cff","observation_id":"efbd72fd-af1c-43ed-8593-ae8ea63e9223","resolution":{"observed_at":"2026-08-01T07:30:36.247561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.337055Z","title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.337055Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:21684c716f5551bb10ac877263071d2ddce8db79dbc48345e61dc441825f1d5f","observation_id":"7ba7854b-c454-4b55-bd52-641062de65e4","resolution":{"observed_at":"2026-08-01T07:30:36.337055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.432525Z","title":"Local light field fusion: practical view synthesis with prescriptive sampling guidelines,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.432525Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:fa5820f2002692e5f8d05372b26ea3854e081adaa8c024b5d81db1747a2a9a31","observation_id":"dcd4faca-7361-459a-8e62-61cef727d976","resolution":{"observed_at":"2026-08-01T07:30:36.432525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.538955Z","title":"CBARF: Cascaded Bundle- Adjusting Neural Radiance Fields From Imperfect Camera Poses,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.538955Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:f4953dc76a4d8a8dad2ff5b80f10604ea3ded8dc9e34234742241e5093700149","observation_id":"61bfa54b-a06c-48b6-a136-e3315d3abf5c","resolution":{"observed_at":"2026-08-01T07:30:36.538955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.638377Z","title":"Msa-Splatting: Multi- Scale Adaptive Gaussian Splatting for High-Fidelity View Synthesis,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.638377Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:82fe9702e05ad68eed9defb284a6ec1d7ff7ce535ad638ded58a0ccf3a37f323","observation_id":"787b89db-bb6a-4278-bb39-90cd8c9beca3","resolution":{"observed_at":"2026-08-01T07:30:36.638377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.803054Z","title":"Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.803054Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:51d16066bf2d8a307a3b5053d5571471ca406c4f91cd2eb9830e295d5c17e1c9","observation_id":"e871d5a4-8b27-41bf-87dc-94a7e293904a","resolution":{"observed_at":"2026-08-01T07:30:36.803054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:36.950033Z","title":"StructGS: Adaptive Spherical Harmon- ics and Rendering Enhancements for Superior 3D Gaussian Splatting,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:36.950033Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:0071cfa79e8038aa49f5063fb8ea24b448cb65f55d18436dda61e1592c993ac8","observation_id":"8885df9b-5adf-4295-b58e-90ed23b8eaa6","resolution":{"observed_at":"2026-08-01T07:30:36.950033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.071351Z","title":"Nerfies: Deformable Neural Radiance Fields,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.071351Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:c78fb37eabde3684c79c891f391a815c8aa1539e98cd6cef9e40b9b2774b578e","observation_id":"026f6b66-556e-49ac-a341-b3b307e4bc0e","resolution":{"observed_at":"2026-08-01T07:30:37.071351Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.200855Z","title":"Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.200855Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:6c80cc5f0bd5ae2ea8c846396bad304ed98b52de74cccaab7241ae6259f7f8e2","observation_id":"16b8022e-1de3-49a1-bc6a-a99752fd5c60","resolution":{"observed_at":"2026-08-01T07:30:37.200855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.338887Z","title":"HyperNeRF: a higher-dimensional representation for topologically varying neural radiance fields,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.338887Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:772ce15c80c0ef4db5c479d904da33e355defdb620e28969545145879d7c0c90","observation_id":"852b37da-c8d0-4a3a-92aa-60822497e50a","resolution":{"observed_at":"2026-08-01T07:30:37.338887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.490783Z","title":"ATM-NeRF: Accelerating Training for NeRF Rendering on Mobile Devices via Geometric Regu- larization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.490783Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:7994db8194bfcfeac0a30ed7d2403fd0e963c626f755a7c197f1363d2dbf644d","observation_id":"ebfb7bc3-3f9d-4c36-a7b4-4daee09fc77e","resolution":{"observed_at":"2026-08-01T07:30:37.490783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.615641Z","title":"Robust Dynamic Radiance Fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.615641Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:c020e010587b38e6ac690eb42cbc0facb624a260985c2aa15d3d33c0cab3436b","observation_id":"1c90be6e-81e3-4cb7-aeee-28dd33f97846","resolution":{"observed_at":"2026-08-01T07:30:37.615641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.742403Z","title":"NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.742403Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:dba09cbe0a770b2105a8dc831df917724ae6a5526628492fa33843cec92fa0d1","observation_id":"440113bb-2fa6-4ed6-9483-bd2805a3f274","resolution":{"observed_at":"2026-08-01T07:30:37.742403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.837512Z","title":"3D Gaussian Splatting for Real-Time Radiance Field Rendering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.837512Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:64078c5d52010486d0e6c6f9863203428701098f0ba12f97147e73fe4c129765","observation_id":"eb12b319-5b15-427a-b4b5-67e65d9add9c","resolution":{"observed_at":"2026-08-01T07:30:37.837512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.914701Z","title":"Pulsar: Efficient Sphere-based Neural Rendering,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.914701Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:8bdd49f34b791366fc5ed866ef6d2f548dea9d00eec843b65ca490d4d598a03e","observation_id":"8957e59d-1e3c-4b4f-a299-80a395b9868b","resolution":{"observed_at":"2026-08-01T07:30:37.914701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:37.997187Z","title":"Surface splatting,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:37.997187Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:f384fa638ea484a82ef067bcaefa771355fef839da49f565998fb362044cb0bf","observation_id":"ab01b01f-07c6-4731-8423-a47abd5c1039","resolution":{"observed_at":"2026-08-01T07:30:37.997187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.063375Z","title":"EW A splatting,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.063375Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:c3d7e1e0194279ca517bcef119e21c0990bcde5fdfb5f6d132de44a875692ce0","observation_id":"a098ec86-b12d-4e13-ba76-a9c3a986bc12","resolution":{"observed_at":"2026-08-01T07:30:38.063375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.135083Z","title":"Object Space EW A Surface Splatting: A Hardware Accelerated Approach to High Quality Point Rendering,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.135083Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:b844be68722fc096270e172a0042a4eba0cffe3979de325a4b32dcc05bcc9180","observation_id":"dc142a24-b6a8-4267-b1ec-e82a3d252a38","resolution":{"observed_at":"2026-08-01T07:30:38.135083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.224784Z","title":"Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.224784Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:22540ef8240464ddd5fc5b02dfa87388984513b4a58192a74b8db78147771a40","observation_id":"d1f5e94e-e48c-49d5-b83e-79207ba9b981","resolution":{"observed_at":"2026-08-01T07:30:38.224784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.367538Z","title":"Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.367538Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:1eb487c8b7edbc7999f3b5f2a33c95fe88735ff2b702c246049e86d2677c9fad","observation_id":"905c9865-aa24-455f-82e6-37a7b7600ed0","resolution":{"observed_at":"2026-08-01T07:30:38.367538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.451680Z","title":"Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruc- tion,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.451680Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:b1b8604ec67a4f7a21e74a3475472211672f79fe2d1bd0a70a93db14bbbf75e8","observation_id":"41d127ee-b3a2-4590-acdd-d544ea8d7290","resolution":{"observed_at":"2026-08-01T07:30:38.451680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.514245Z","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.514245Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:bd80227c0f669c5bc3cc5ddafe1862e4e7b8be4c9ddfd4a263b2b66ca88de4ae","observation_id":"7f1b5574-184f-475a-a8be-aab8852790a4","resolution":{"observed_at":"2026-08-01T07:30:38.514245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.605357Z","title":"SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.605357Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:c14c9688b38db600b49829a7e807ed8f372820063ca70e55da08a05f43ce5ff4","observation_id":"aa0cc6be-d3dd-4f65-9d43-93ca76167dd2","resolution":{"observed_at":"2026-08-01T07:30:38.605357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.690724Z","title":"Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.690724Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:bd98edb629969d255991bd4af6f4ceaf002af79742a4f6021f9d9bf0203922c4","observation_id":"e2b0c4b2-c95f-46c6-a72e-0f92f50f8f8d","resolution":{"observed_at":"2026-08-01T07:30:38.690724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.775808Z","title":"4D Scaffold Gaussian Splatting with Dynamic-Aware Anchor Growing for Efficient and High-Fidelity Dynamic Scene Reconstruction,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.775808Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:079139738b325ebac4a15afa688f26a4690b29a2d4b8360336f3ddc2211b5676","observation_id":"8b1dde88-aac9-4f5b-abbf-cf30ded05cbd","resolution":{"observed_at":"2026-08-01T07:30:38.775808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.867474Z","title":"MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.867474Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:2e6db3eb62549b49640ad6ee3790d5b36dc5565f16c47c2eae1f1f3dc0f5d3a7","observation_id":"da707fb7-6431-4459-b76c-47222cee1346","resolution":{"observed_at":"2026-08-01T07:30:38.867474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:38.961125Z","title":"Scaffold- GS: Structured 3D Gaussians for View-Adaptive Rendering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:38.961125Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:7528b94dbf104043676d3004d881f85316b94260b0abb730411b383e21f0bd0b","observation_id":"d7562a3e-dd13-4d9d-8311-793faa12cf78","resolution":{"observed_at":"2026-08-01T07:30:38.961125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.067743Z","title":"Octree- GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.067743Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:11479c40f744cbd98f762f65a10dd7acf8225b2e9d7fb1a5425ce48988845a1d","observation_id":"df1d76ce-9782-4d1e-9829-9a92dae57c94","resolution":{"observed_at":"2026-08-01T07:30:39.067743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.159452Z","title":"D- NeRF: Neural Radiance Fields for Dynamic Scenes,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.159452Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:61f69061b7721d27425958218496178152384fcec3c025cbec8685d3b331e9da","observation_id":"54958a03-5c25-4f3c-a5a5-5065c273365e","resolution":{"observed_at":"2026-08-01T07:30:39.159452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.251743Z","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.251743Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:16c45bf381f60a8d9d4f6058b6355fb277d58899ca31de4bad180a5728b9ce23","observation_id":"9fdbde47-fe39-4596-b583-43d5403a2c62","resolution":{"observed_at":"2026-08-01T07:30:39.251743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.370730Z","title":"Fast Dynamic Radiance Fields with Time-Aware Neural V oxels,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.370730Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:ff5f726c9c8c9edadc01207e1dc916c738b295d417e1631c64731ea9c1338bd7","observation_id":"2bf941d7-35df-45ac-b72e-f9a5ed5435af","resolution":{"observed_at":"2026-08-01T07:30:39.370730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.451735Z","title":"HexPlane: A Fast Representation for Dynamic Scenes,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.451735Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:7274214c2d9859000fdbe009f74bf2b88c8bee0c1c944f7c8f3e98a7f9949281","observation_id":"72659304-0d01-40d8-b4b0-f03c92057ea5","resolution":{"observed_at":"2026-08-01T07:30:39.451735Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.539203Z","title":"K-Planes: Explicit Radiance Fields in Space, Time, and Appearance,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.539203Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:b71f31c1def8d551f08c6ec0c06cb2dfaacbfa5d8c0eb4c741aba98546862b89","observation_id":"a898ecf6-0a23-40e0-8523-7453fa441b4e","resolution":{"observed_at":"2026-08-01T07:30:39.539203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.623491Z","title":"Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.623491Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:be37b6f313206280238f16610ac5dfa96898aa871fc933fd036b929ebb6151ff","observation_id":"1939054d-c6ff-457b-9d7b-0796c646df77","resolution":{"observed_at":"2026-08-01T07:30:39.623491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.736300Z","title":"DynamicFusion: Recon- struction and Tracking of Non-rigid Scenes in Real-Time,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.736300Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:ab28da32ec64120de30dea1674e899f4fc35d92802e45b100c920a3becab39dd","observation_id":"459884c2-43ac-4bc5-a599-4423a882660d","resolution":{"observed_at":"2026-08-01T07:30:39.736300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.797136Z","title":"V olumeDeform: Real-Time V olumetric Non-rigid Reconstruc- tion,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.797136Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:f9894aa770f8005dbb8821d61f4dd2a443417f2fb894db9d1c7c7f53b2d9129a","observation_id":"e3b46ede-2da7-44cb-9199-9f688c2deb3c","resolution":{"observed_at":"2026-08-01T07:30:39.797136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.878367Z","title":"Fourier Features Let Networks Learn High Frequency Functions in Low Dimen- sional Domains,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.878367Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:435375963312082300bd79a05eb1d371ff5de996aae809b86b6826226ae2f921","observation_id":"3b6a240e-e477-4776-8fc1-e8d0e4d32e80","resolution":{"observed_at":"2026-08-01T07:30:39.878367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T07:30:39.964357Z","title":"Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Recon- struction and Rendering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T07:30:39.964357Z"},"links":{"citing_paper":"/paper/2607.21448"},"observation_digest":"sha256:aacb575299c22de05270a1af1187fdbecc0522447d6cd0ae5f37e702842cd047","observation_id":"f4d82deb-50e5-434d-a6e6-7a440f211d37","resolution":{"observed_at":"2026-08-01T07:30:39.964357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21448","last_updated":"2026-07-24T08:51:54Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-02T13:52:48.984472Z","submitted_at":"2026-07-23T15:52:35Z","title":"GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":46},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.21448."}