{"as_of":"2026-08-10T01:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:476edc0cc1a038ff02b4430daf5f816ad22ed77b7db316b313f5e7fecfd95d0b","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:26:44.145549Z","state":"measured"},{"denominator":56,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":56,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T00:07:18.767075Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T00:07:27.522168Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"cited_work":{"arxiv_id":"2506.05348","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05348","snapshot_observed_at":"2026-07-03T00:07:27.522168Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)","venue":null,"work_id":"56c02963-374d-439e-85b6-8f42a3b3ab93","year":2025},"citing_paper":{"arxiv_id":"2605.03337","last_updated":"2026-07-01T02:40:36Z","snapshot_observed_at":"2026-08-04T21:46:49.198272Z","submitted_at":"2026-05-05T03:57:21Z","title":"FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T01:24:58.281033Z"},"links":{"cited_paper":"/paper/2506.05348","citing_paper":"/paper/2605.03337"},"observation_digest":"sha256:34328882866d35495e989de5f42169c70bd83702c20907eec11dc5148fcee268","observation_id":"81dcc36a-90d5-4ab3-9c31-bb6d45b55ffe","resolution":{"observed_at":"2026-05-12T10:51:29.392144Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"cited_work":{"arxiv_id":"2506.05348","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05348","snapshot_observed_at":"2026-07-03T00:07:27.522168Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)","venue":null,"work_id":"56c02963-374d-439e-85b6-8f42a3b3ab93","year":2025},"citing_paper":{"arxiv_id":"2605.03337","last_updated":"2026-07-01T02:40:36Z","snapshot_observed_at":"2026-08-04T21:46:49.198272Z","submitted_at":"2026-05-05T03:57:21Z","title":"FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-01T00:45:33.717333Z"},"links":{"cited_paper":"/paper/2506.05348","citing_paper":"/paper/2605.03337"},"observation_digest":"sha256:bd6af74d277832d604ac42746b8a53a1fd724522691aaef1923591d640a4cdcb","observation_id":"5dbc3a61-e1e1-462c-a506-7d3bac72f810","resolution":{"observed_at":"2026-07-01T00:55:12.200971Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"cited_work":{"arxiv_id":"2506.05348","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05348","snapshot_observed_at":"2026-07-03T00:07:27.522168Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)","venue":null,"work_id":"56c02963-374d-439e-85b6-8f42a3b3ab93","year":2025},"citing_paper":{"arxiv_id":"2605.03337","last_updated":"2026-07-01T02:40:36Z","snapshot_observed_at":"2026-08-04T21:46:49.198272Z","submitted_at":"2026-05-05T03:57:21Z","title":"FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-03T00:07:18.767075Z"},"links":{"cited_paper":"/paper/2506.05348","citing_paper":"/paper/2605.03337"},"observation_digest":"sha256:6482ea7ad1fa3d7fbc2ab4fae0c37dbb3a59c64801c0e814dff4b0fa64505282","observation_id":"44b3f42a-dbe0-4673-b31b-19fd9effdc30","resolution":{"observed_at":"2026-07-03T00:07:27.524223Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.05348/citation-record","integrity":"/paper/2506.05348/integrity","json":"/paper/2506.05348/citation-record.json","paper":"/paper/2506.05348"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.906443Z","title":"Green and yellow cell colors indicate the best and the second best results, respectively","venue":null,"work_id":"3eb0a686-3ad5-4e35-bffc-00028c341781","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.949706Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:392aaabd4515306d6e3457f396b9588f48dfd6c93703cb806d9d6232e508fedf","observation_id":"e9029156-3d40-41bd-9ce2-077bd0dcb938","resolution":{"observed_at":"2026-08-07T10:26:44.910818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03613","last_updated":"2024-07-26T01:24:23Z","snapshot_observed_at":"2026-08-05T08:58:45.180352Z","submitted_at":"2024-04-04T17:34:41Z","title":"Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03613","snapshot_observed_at":"2026-08-07T10:26:43.953838Z","title":"Per-gaussian embedding-based deformation for deformable 3d gaussian splatting.ArXiv, abs/2404.03613, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.953838Z"},"links":{"cited_paper":"/paper/2404.03613","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:8b453ac5405ce7d9268fc363357b83d6857bad54d10f6154d49d4ea63415ef79","observation_id":"b24572a3-dd46-4739-87f0-27d758ee8f48","resolution":{"observed_at":"2026-08-07T10:26:43.953838Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.891772Z","title":"Deepdeform: Learning non-rigid rgb-d reconstruction with semi-supervised data","venue":null,"work_id":"c55d527f-05ac-4426-be0b-6051c28edf5b","year":2020},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.958039Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:241fc73a18e1db50b123388e616bf623bc3953c0afde683c746367e4914f0d68","observation_id":"8762846f-f2ec-4a9b-ba3f-d6cae19ee364","resolution":{"observed_at":"2026-08-07T10:26:44.896272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.876825Z","title":"Hexplane: A fast representa- tion for dynamic scenes.arXiv, 2023","venue":null,"work_id":"d972150a-a005-4733-a806-39d1d9d63b72","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.962178Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:68f4953c1416a252e0be2f30858d75b3e6e858aeee2213cf289751c0ccbb7619","observation_id":"117da88b-53f8-45a8-9e6d-acc2dc71903c","resolution":{"observed_at":"2026-08-07T10:26:44.881445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.861432Z","title":"4d video textures for interactive character appear- ance","venue":null,"work_id":"16e90c3f-6df3-404b-8ba2-ac6e5e6f2ea0","year":2014},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.966623Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6b79558bc566caf89ef6166dc13a030f8115ddb631f325c90235706b05138c1a","observation_id":"9a65f1b6-5827-417f-978d-21f2dddfce0e","resolution":{"observed_at":"2026-08-07T10:26:44.867289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2204.11798","last_updated":"2022-04-25T17:14:22Z","snapshot_observed_at":"2026-08-07T08:58:20.626958Z","submitted_at":"2022-04-25T17:14:22Z","title":"Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.11798","snapshot_observed_at":"2026-08-07T10:26:43.970388Z","title":"Generalizable neural performer: Learning robust radiance fields for human novel view synthesis.arXiv preprint arXiv:2204.11798, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.970388Z"},"links":{"cited_paper":"/paper/2204.11798","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:39ec450b2fc7e6d026ee84be8ee118d1853adf66504652da579a94d12d9f200e","observation_id":"841d4b88-aaa9-49c5-b0fe-fe93191d5d36","resolution":{"observed_at":"2026-08-07T10:26:43.970388Z","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":"2026-08-07T10:26:43.974887Z","title":"High-quality streamable free-viewpoint video.ACM Transactions on Graphics (ToG), 34(4):1–13,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.974887Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6527b381e9e145995512412a81851cca967955f96f09c32780755a9ad71b529e","observation_id":"51b74acb-4dac-4e2c-837f-0b1e6f3d01ac","resolution":{"observed_at":"2026-08-07T10:26:43.974887Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.839566Z","title":"Fusion4d: Real-time performance capture of challeng- ing scenes.ACM TOG, 2016","venue":null,"work_id":"15074e43-94a4-4ce6-bb62-fa72614b9987","year":2016},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.978434Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6cc13a0592b3a7cf7c6ca96a9e27ed86daa5727c5eff9fe913db445dd5b1e240","observation_id":"b8304341-008a-4983-9377-49acb8bcbb4f","resolution":{"observed_at":"2026-08-07T10:26:44.843787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.825830Z","title":"RoMa: Robust Dense Feature Matching.IEEE Conference on Computer Vision and Pattern Recognition, 2024","venue":null,"work_id":"f9fbfe02-2dd3-4dba-9476-e34d8b7473ea","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.982018Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:45c00860908c3033302a53217212ba17d58d0dee599f69285f828c663bb03be3","observation_id":"01bfc6ae-8d0f-4695-8ee0-2bb962ed09f1","resolution":{"observed_at":"2026-08-07T10:26:44.830628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.813087Z","title":"K-planes: Explicit radiance fields in space, time, and appearance","venue":null,"work_id":"b87a4de6-f03c-4f9f-a88f-c0e46479fe68","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.985485Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:586e42dc176649bcde6c7b0050a8389b8817e8a151fdad6ca4016355bd3b0149","observation_id":"64b8b833-4dd0-4fcc-af58-3290d0afbb27","resolution":{"observed_at":"2026-08-07T10:26:44.817310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11447","last_updated":"2024-03-18T03:46:26Z","snapshot_observed_at":"2026-08-07T04:07:31.247126Z","submitted_at":"2024-03-18T03:46:26Z","title":"Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11447","snapshot_observed_at":"2026-08-07T10:26:43.989013Z","title":"Motion-aware 3d gaussian splatting for effi- cient dynamic scene reconstruction.ArXiv, abs/2403.11447,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.989013Z"},"links":{"cited_paper":"/paper/2403.11447","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:4988836cda1282dfae0c68d1ca5fc81f83b16897e50ff8d729c6479b72536bdd","observation_id":"b1dca84b-4b35-4b45-bc97-f0aa6e94b464","resolution":{"observed_at":"2026-08-07T10:26:43.989013Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.798785Z","title":"Going beyond free viewpoint: creating animatable volumetric video of human performances.IET Computer Vi- sion, pages 350–358, 2020","venue":null,"work_id":"921f7397-5b38-4a9d-827c-a08379d9a536","year":2020},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.992928Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:b3c0c4712ef3f58cbfb757337a6954b22b14dd314d54ec5fc4a39a4f8223ccde","observation_id":"da033cdf-2c21-43ad-ba2f-e5a0b07063e5","resolution":{"observed_at":"2026-08-07T10:26:44.803226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.785680Z","title":"A compact dynamic 3d gaussian representation for real-time dynamic view synthesis","venue":null,"work_id":"23cba490-3692-486b-96b0-ed3cf02462cf","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:43.996670Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:71196061b43ecdf6c8007c9950fbbf8c7a2f63c13fec994a6aa68f525f861ecb","observation_id":"49121880-d036-49c5-ab51-cde87774481f","resolution":{"observed_at":"2026-08-07T10:26:44.789871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.769614Z","title":"3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4):1–14, 2023","venue":null,"work_id":"5ec10b1b-2a88-4030-b775-02675d3053bc","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.000307Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:fc0de3fd746ad6406297e8c8e925d5a3c5a5a2c04fde999649d20b8cdf4a499b","observation_id":"d55af96f-1951-45c7-9680-aaad21a329cd","resolution":{"observed_at":"2026-08-07T10:26:44.776964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.755581Z","title":"Neural human performer: Learning generalizable ra- diance fields for human performance rendering.Advances in Neural Information Processing Systems, 34, 2021","venue":null,"work_id":"cd1ad589-9045-4c8a-9b08-1c7dcc8f40cf","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.003923Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6625e8f9a57d7684c69841c1bca7d11bc79a32a24cc89796ebbfc7ff263991dd","observation_id":"6bc890b8-9be1-42b6-9a61-4310a273a734","resolution":{"observed_at":"2026-08-07T10:26:44.760826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19321","last_updated":"2024-05-29T17:52:22Z","snapshot_observed_at":"2026-07-06T18:22:10.094519Z","submitted_at":"2024-05-29T17:52:22Z","title":"DGD: Dynamic 3D Gaussians Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19321","snapshot_observed_at":"2026-08-07T10:26:44.007378Z","title":"Dgd: Dynamic 3d gaussians distillation.ArXiv, abs/2405.19321, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.007378Z"},"links":{"cited_paper":"/paper/2405.19321","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:248ef8baee53b46c285c3ff187dde86c64928834f4dc86aa587173051449a30a","observation_id":"0313bb64-4df1-453e-a596-875a347de5d7","resolution":{"observed_at":"2026-08-07T10:26:44.007378Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.743103Z","title":"Fully explicit dynamic gaussian splat- ting","venue":null,"work_id":"f1ea57d3-0eca-4084-b5d9-1261ad1ed9df","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.011226Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:9a36e81e699b61293d679a7d9721258d84f3450576ef77141a9d9dbd61dccebc","observation_id":"dc50327e-3a20-40eb-8c8a-5786cf300bb6","resolution":{"observed_at":"2026-08-07T10:26:44.747225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.730549Z","title":"Neu- ral 3d video synthesis.CVPR, 2022","venue":null,"work_id":"13921ab3-de5c-41ab-96fe-98ed4d4e5c02","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.014980Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6834e18ed6bb1bac8cf84603d23b6deab4f93d8b44ef262c9124728b9219fb58","observation_id":"6304bda6-cbbc-49ab-a0ec-acbd73cdc5cc","resolution":{"observed_at":"2026-08-07T10:26:44.734739Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.716150Z","title":"Neural 3d video synthesis from multi-view video","venue":null,"work_id":"8f2c101d-0879-4dba-94c7-454302c6ad0d","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.018820Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:f9115f2f06157db3ec2cd639c73d7fe1267924662b7bafcff23937692c737192","observation_id":"42171df2-b1ed-4baf-8f43-d6462de9a9c7","resolution":{"observed_at":"2026-08-07T10:26:44.720400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.701971Z","title":"Neural scene flow fields for space-time view synthesis of dy- namic scenes","venue":null,"work_id":"3b4c3285-c88e-447f-9537-b12a8ea70b6d","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.022641Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:9fa4c4fd80b6dd109361e8673ca94c9fbadf9ea1cf2459df55a1314d4ebfbaf0","observation_id":"ffe86582-65ee-476c-a0ae-026cb0a2fedc","resolution":{"observed_at":"2026-08-07T10:26:44.706557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.687620Z","title":"Space- time gaussian feature splatting for real-time dynamic view synthesis.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8508–8520, 2023","venue":null,"work_id":"14b7cda5-d801-498f-a549-f25d3d131eee","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.026197Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:def4cec530cd930d1d96cbfe44bec73f15fb489cb2a263d09b46d02d5ea0a198","observation_id":"f0553d8a-ddcc-458c-be8e-2afac3c96cbb","resolution":{"observed_at":"2026-08-07T10:26:44.692124Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11458","last_updated":"2025-01-15T22:17:24Z","snapshot_observed_at":"2026-07-06T17:04:46.288600Z","submitted_at":"2023-12-18T18:59:03Z","title":"GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11458","snapshot_observed_at":"2026-08-07T10:26:44.030061Z","title":"Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis.ArXiv, abs/2312.11458, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.030061Z"},"links":{"cited_paper":"/paper/2312.11458","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6994ef898c605fb7fde77e1b2ea659279be0c572551aefdf82659788c642db9f","observation_id":"ec554b58-548b-4b14-bc5a-ceb0939a201e","resolution":{"observed_at":"2026-08-07T10:26:44.030061Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.673322Z","title":"Efficient neural radiance fields for interactive free-viewpoint video","venue":null,"work_id":"eadfd959-50ea-4509-9f5e-4e46a8fdc700","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.033815Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:ed4c50e84d0b599c429d17fa5cb0a3b9ed19ac7967ac8e34b5e1f09c815a1190","observation_id":"e47f3c2b-9ee1-4865-a6e7-188dc32e6c75","resolution":{"observed_at":"2026-08-07T10:26:44.677884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.660027Z","title":"Seitz, and Ira Kemelmacher- Shlizerman","venue":null,"work_id":"ba5a2a54-7b05-444c-a1b9-a4f8bb1d5973","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.037386Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:725e60fa3d2742abe5bcac831e77cc7691caa3e2eaa6601db0aaa3e07b724a16","observation_id":"7f237ddb-6c43-41c1-b018-c165fec40056","resolution":{"observed_at":"2026-08-07T10:26:44.664406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.646170Z","title":"Modgs: Dy- namic gaussian splatting from casually-captured monocular videos","venue":null,"work_id":"427c6ee8-0346-4f89-a564-8ee24b12403e","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.040826Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:3f633c01849ae6572c2745947881ff84ddfe859d45d7dd2fa94ae414efedbf49","observation_id":"5dda0fde-147f-4a5c-af50-3799496a07de","resolution":{"observed_at":"2026-08-07T10:26:44.650692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.630891Z","title":"Neural vol- umes: Learning dynamic renderable volumes from images","venue":null,"work_id":"83a4b7ee-bfb2-45af-bc24-e1703139d0cb","year":2019},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.044260Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:27a42366193acb891528b9154d5cade048819037f3dc9c26c1e5dc7f8cf7fd71","observation_id":"6f24db42-6639-47f3-a767-89f252a69e2c","resolution":{"observed_at":"2026-08-07T10:26:44.636186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.617267Z","title":"3d geometry-aware deformable gaussian splatting for dynamic view synthesis","venue":null,"work_id":"7c507c67-fae6-4fd2-936c-145ed91d05e0","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.048035Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:189c34554fccb3cda4ff056323f648f7b9643c3995efa989e0443cc2a4382683","observation_id":"c8589006-57c9-4489-ba3c-8f95d10105b2","resolution":{"observed_at":"2026-08-07T10:26:44.621467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09713","last_updated":"2023-08-18T17:59:21Z","snapshot_observed_at":"2026-08-05T02:34:41.849885Z","submitted_at":"2023-08-18T17:59:21Z","title":"Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.09713","snapshot_observed_at":"2026-08-07T10:26:44.051677Z","title":"Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis.arXiv preprint arXiv:2308.09713, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.051677Z"},"links":{"cited_paper":"/paper/2308.09713","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:84340ce341380e59691e7564b143c34c7043ebca184b0671b9ee1078dd92b704","observation_id":"bb426298-bc4e-4c11-95dc-b3d483efdcbc","resolution":{"observed_at":"2026-08-07T10:26:44.051677Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.603330Z","title":"Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar","venue":null,"work_id":"d09cc6d1-2afd-4dc5-b865-93ae2e8923cf","year":2019},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.055699Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:b96b3954d9cd81cbdad741a6559e399bcc563978242be406637d91b62c0c64f6","observation_id":"99576d10-75c1-464d-9eb9-f58fca181858","resolution":{"observed_at":"2026-08-07T10:26:44.607557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.589165Z","title":"Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021","venue":null,"work_id":"364fb186-f7ab-4cb9-8277-232f0cd88980","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.059412Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:1adce8f8176520598e68a97b4a8a954daef799e237bdb283bff8345d14c831a3","observation_id":"b8c2413a-e3b6-43b9-8101-c28978badb96","resolution":{"observed_at":"2026-08-07T10:26:44.594032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.575472Z","title":"Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time","venue":null,"work_id":"c0a1b9ba-2ac4-462d-9c59-a3434481b1fa","year":2015},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.063301Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:a4c4f76d9bcc8ac24d8b732f0278cbbf914fa41b84ab6125baea9bdc48580806","observation_id":"8716ec6d-0e3c-431e-9d24-ca8a07c7e1a3","resolution":{"observed_at":"2026-08-07T10:26:44.579775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.555382Z","title":"Holoportation: Virtual 3d teleportation in real-time","venue":null,"work_id":"03413e6b-369a-450c-89c3-f57fb0a4fc39","year":null},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.067045Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:03109d6d1cb7bb5ba37a6c6575cfd746d8208ab68b36b7d7232c867e2445636f","observation_id":"7d306880-7841-43a6-bd1a-9da45e922f40","resolution":{"observed_at":"2026-08-07T10:26:44.564795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.542845Z","title":"Barron, Sofien Bouaziz, Dan B Goldman, Steven M","venue":null,"work_id":"c2eddc88-6061-4d0a-be68-7e54a99976c0","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.070780Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:6f22ad4c713073283a286fec94ed0718792523c67485d49db787d72e808ea230","observation_id":"0c14a07a-b4be-435f-ba64-09553bf009f9","resolution":{"observed_at":"2026-08-07T10:26:44.546991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.13228","last_updated":"2021-09-10T06:34:46Z","snapshot_observed_at":"2026-08-09T08:50:52.811232Z","submitted_at":"2021-06-24T17:59:03Z","title":"HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.13228","snapshot_observed_at":"2026-08-07T10:26:44.074353Z","title":"Hypernerf: A higher- dimensional representation for topologically varying neural radiance fields.arXiv preprint arXiv:2106.13228, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.074353Z"},"links":{"cited_paper":"/paper/2106.13228","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:463f7720f99e37e1cc5f5afebe4e7163872dff747f9c71dd243c0ed4e25c5aeb","observation_id":"77741a95-c10c-47ff-834e-ab64bf09e685","resolution":{"observed_at":"2026-08-07T10:26:44.074353Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.529344Z","title":"Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans","venue":null,"work_id":"814ebcd1-8d47-408a-89cd-c8a1f45a8dca","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.078465Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:c24e1333e58069a241331e40f58db30da48aac1090bae615c0cc51c235296366","observation_id":"ee077d09-803d-47e4-b9cd-f70bc93c5a11","resolution":{"observed_at":"2026-08-07T10:26:44.534085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.514664Z","title":"D-nerf: Neural radiance fields for dynamic scenes","venue":null,"work_id":"36fe4808-00f9-4098-9aef-3ee624ce9e02","year":2021},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.082530Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:bf7172f93f68921a634ef2b8698f10c84a361ed73b4905af2de945b0fdd6f2eb","observation_id":"8d85e271-8b95-43f4-a230-2200556633be","resolution":{"observed_at":"2026-08-07T10:26:44.519652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.501259Z","title":"Swings: Sliding windows for dynamic 3d gaussian splatting","venue":null,"work_id":"ac1b343f-0919-4b67-8f6e-59aef4986d34","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.086012Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:4eea061767f4a6e69d3d614a8da91a5faa8fcddd147052f33e10f2b304c77935","observation_id":"09ea41bc-e17a-4a24-b0de-f45e43786075","resolution":{"observed_at":"2026-08-07T10:26:44.505839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.486778Z","title":"Novel view synthesis of human interactions from sparse multi-view videos","venue":null,"work_id":"e57808dd-61ad-4ca8-8cb5-0d1ac1d27d66","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.089809Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:8acfe43ec87cbac59ef885bc619a1c2c1c59efc12fb2ead3b755ed53fa482d7a","observation_id":"89504592-1420-49d3-97d1-85410d567d12","resolution":{"observed_at":"2026-08-07T10:26:44.491415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.471935Z","title":"Nerf- player: A streamable dynamic scene representation with de- composed neural radiance fields.IEEE Transactions on Visu- alization and Computer Graphics, 29(5):2732–2742, 2023","venue":null,"work_id":"ba53aaa0-0ab4-478b-9962-7ba197a9f0d9","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.093423Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:1794d5d541830b263e1625ad04719edbc5cb64357e41f243bae6f31c9326750c","observation_id":"282ad557-8ef4-4724-834c-a22638f7c553","resolution":{"observed_at":"2026-08-07T10:26:44.477225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.457631Z","title":"Variable bitrate neural fields.ACM SIGGRAPH 2022 Con- ference Proceedings, 2022","venue":null,"work_id":"1402bfaf-42b1-4435-b62a-7be167e90326","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.096897Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:c758f43bcfd7bcfd94ca60e2a4e192021ffe7bfb3f1c8c462dad9869f6b2630f","observation_id":"3874a7a4-8775-48aa-8ae2-edf13ab00cd5","resolution":{"observed_at":"2026-08-07T10:26:44.462038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14870","last_updated":"2022-10-11T08:07:13Z","snapshot_observed_at":"2026-07-06T13:15:17.438229Z","submitted_at":"2022-05-30T06:18:59Z","title":"Compressible-composable NeRF via Rank-residual Decomposition","version":2},"cited_work":{"arxiv_id":"2205.14870","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.14870","snapshot_observed_at":"2026-08-07T10:26:44.233876Z","title":"Compressible-composable NeRF via Rank-residual Decomposition","venue":"cs.CV","work_id":"abdcdd1d-0b6c-464e-b0db-110baf8305b6","year":2022},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.100785Z"},"links":{"cited_paper":"/paper/2205.14870","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:89be4b72fc4df0b4ba731e2a128e6b0d40bfea782eb8bb4a27f14443d810e2a6","observation_id":"4a4b84c8-2167-4ea9-8570-c8524ea4be96","resolution":{"observed_at":"2026-08-07T10:26:44.239982Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.443599Z","title":"Mixed neural voxels for fast multi-view video syn- thesis.2023 IEEE/CVF International Conference on Com- puter Vision (ICCV), pages 19649–19659, 2022","venue":null,"work_id":"02fb1eff-15a2-4571-899e-1e8f7657c51e","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.105262Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:8fbd247705897a1778d209ecba27892adde89952638f3741df160adb9dbf92e8","observation_id":"64232f96-350d-47e2-becb-623aafabd563","resolution":{"observed_at":"2026-08-07T10:26:44.447899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.430507Z","title":"Image quality assessment: from error visibility to structural similarity.IEEE TIP, 2004","venue":null,"work_id":"deb5f514-a2b8-4807-ab08-974894752f2d","year":2004},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.108943Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:0927bb641ae594c524804271c04771e63910e8c918cbc26e48292ed824e42ea0","observation_id":"a76b01df-5bac-44fb-9e70-8f988ec51ea2","resolution":{"observed_at":"2026-08-07T10:26:44.434773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08528","last_updated":"2024-07-15T12:34:51Z","snapshot_observed_at":"2026-08-05T23:52:40.536119Z","submitted_at":"2023-10-12T17:21:41Z","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08528","snapshot_observed_at":"2026-08-07T10:26:44.112553Z","title":"4d gaussian splatting for real-time dynamic scene rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.112553Z"},"links":{"cited_paper":"/paper/2310.08528","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:93a7c20f875fe04f78f15becca0139ae65ddda3f87b7da4577dbfa232479173c","observation_id":"f30eaacc-9ff7-4d6a-bbb5-90816f686347","resolution":{"observed_at":"2026-08-07T10:26:44.112553Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.414422Z","title":"4k4d: Real-time 4d view synthesis at 4k resolution.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 20029–20040, 2023","venue":null,"work_id":"b7535b00-ae7a-4f08-8734-7642771b9357","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.116161Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:681da64bafa9086194fa6e55a6d08f52bf5ed18fc50de3a85703ca593ac4589d","observation_id":"7af60068-32b2-436a-900d-81073817dcf5","resolution":{"observed_at":"2026-08-07T10:26:44.419977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.399528Z","title":"Easyvolcap: Accelerating neural volumetric video research","venue":null,"work_id":"9982651f-8b5f-46a6-9980-0caded888221","year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.119711Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:0348f4465b5de0887de990e8eca960b7fe88e9cfe83dad18f085e761a1f44db9","observation_id":"fa4cf4ac-8b28-4532-bae2-1e0e8639036a","resolution":{"observed_at":"2026-08-07T10:26:44.403941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.385982Z","title":"Representing long volumet- ric video with temporal gaussian hierarchy.ACM Transac- tions on Graphics, 43(6), 2024","venue":null,"work_id":"7ac2d637-d4fa-4aac-a259-94ac9c5e68a1","year":2024},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.123109Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:2518c3c6c15591c11593b7d93ad22f7a8fd6b01651ca89ebe02aae6a567f8af8","observation_id":"98800e4e-471b-4f28-a33f-148c4ae264df","resolution":{"observed_at":"2026-08-07T10:26:44.390694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13101","last_updated":"2023-11-19T14:50:08Z","snapshot_observed_at":"2026-08-04T05:15:02.372597Z","submitted_at":"2023-09-22T16:04:02Z","title":"Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13101","snapshot_observed_at":"2026-08-07T10:26:44.126658Z","title":"Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction.arXiv preprint arXiv:2309.13101, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.126658Z"},"links":{"cited_paper":"/paper/2309.13101","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:c9c30eeaa9080c466f8e74b2d1cac12c4a08c4cf3de768a97525965248ff30cf","observation_id":"df397968-129a-4e42-9922-b647ea026673","resolution":{"observed_at":"2026-08-07T10:26:44.126658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10642","last_updated":"2024-02-22T15:08:49Z","snapshot_observed_at":"2026-08-08T14:17:41.272707Z","submitted_at":"2023-10-16T17:57:43Z","title":"Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.10642","snapshot_observed_at":"2026-08-07T10:26:44.130895Z","title":"Real-time photorealistic dynamic scene representa- tion and rendering with 4d gaussian splatting.arXiv preprint arXiv 2310.10642, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.130895Z"},"links":{"cited_paper":"/paper/2310.10642","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:0506fce189e4badab4d2f68046ab269e80b57e09ed35c6820635d0218d543b4b","observation_id":"303290d5-6d6b-457b-9c9d-18c35abaa094","resolution":{"observed_at":"2026-08-07T10:26:44.130895Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.371923Z","title":"Bodyfu- sion: Real-time capture of human motion and surface geom- etry using a single depth camera","venue":null,"work_id":"da5f3cf3-6dae-491a-ba17-b182a409538d","year":2017},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.134595Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:b8e5fc8fc2f2c2fe1158cebccc391198b0a3d39ea689ba1a79858aa4d3d3c210","observation_id":"9c62006e-146a-4070-bc04-49d66b0d0598","resolution":{"observed_at":"2026-08-07T10:26:44.376374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.358494Z","title":"Doublefu- sion: Real-time capture of human performances with inner body shapes from a single depth sensor","venue":null,"work_id":"9de23f7e-a6f6-44ab-9397-77b289cfe82e","year":2018},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.138060Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:e651c3e5c636c0466874b99913a642a536381db262192cc7f997384f1ca31f75","observation_id":"cdbed34c-5988-4c83-9334-9665ea04685c","resolution":{"observed_at":"2026-08-07T10:26:44.362867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:26:44.343603Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":"94e23265-8f1f-4930-a393-938dc7e2c4e4","year":2018},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.141982Z"},"links":{"citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:bcd887aeff6fed4e4cc2122d46221f61d5de741d455de843ecf28f0d70de6461","observation_id":"0c8d82bb-4bbd-4033-816e-3de71c57c373","resolution":{"observed_at":"2026-08-07T10:26:44.348791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.07707","last_updated":"2024-10-10T08:19:47Z","snapshot_observed_at":"2026-08-10T00:30:30.242800Z","submitted_at":"2024-10-10T08:19:47Z","title":"MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.07707","snapshot_observed_at":"2026-08-07T10:26:44.145549Z","title":"Motiongs: Exploring explicit motion guidance for deformable 3d gaussian splatting.arXiv preprint arXiv:2410.07707, 2024","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T10:26:44.145549Z"},"links":{"cited_paper":"/paper/2410.07707","citing_paper":"/paper/2506.05348"},"observation_digest":"sha256:dacf8cab8b9c3733f9f6bf0c50c48f3ef734e365722817f34ddfca49099f0daf","observation_id":"fce55e76-619a-42ee-a3e8-770b0662297a","resolution":{"observed_at":"2026-08-07T10:26:44.145549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.05348","last_updated":"2025-06-06T08:38:48Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T06:14:53.929181Z","submitted_at":"2025-06-05T17:59:57Z","title":"FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":1,"verified_fuzzy":38},"total_outbound_references":53},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 3 inbound Pith citation observations for arXiv:2506.05348."}