{"as_of":"2026-08-16T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:87a9485ba5316534c01491597f8a12ab0136a8c5d701c609dedf5d32b717562d","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:40:59.833352Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T00:57:47.713600Z","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":"2026-05-12T08:36:24.900310Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"cited_work":{"arxiv_id":"2506.20998","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.20998","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.20998 , year=","venue":null,"work_id":"371654ba-0d6a-4908-b105-6cb19afcbb9d","year":null},"citing_paper":{"arxiv_id":"2605.08635","last_updated":"2026-05-09T03:01:17Z","snapshot_observed_at":"2026-08-11T10:20:02.638019Z","submitted_at":"2026-05-09T03:01:17Z","title":"Kinematics-Driven Gaussian Shape Deformation for Blurry Monocular Dynamic Scenes","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-05-12T00:57:47.713600Z"},"links":{"cited_paper":"/paper/2506.20998","citing_paper":"/paper/2605.08635"},"observation_digest":"sha256:97b980360caba50ede8c1a73e50b538793e643dde21412a7f8ae6bfaa07c2968","observation_id":"06c2f26d-945d-49bd-b6a2-cb7a2bd4da13","resolution":{"observed_at":"2026-05-12T08:36:24.903223Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.20998/citation-record","integrity":"/paper/2506.20998/integrity","json":"/paper/2506.20998/citation-record.json","paper":"/paper/2506.20998"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:41:06.091454Z","title":"Matryodshka: Real-time 6dof video view synthesis using multi-sphere images","venue":null,"work_id":"dcf842de-fba4-4fe9-9368-84aa8e31ea26","year":2020},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:55.561246Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c5327d298f58fabf462e943a99981cbc04f3e6246285464915809f4175419aaf","observation_id":"795d611f-7d83-4dec-b0ec-e267ec014594","resolution":{"observed_at":"2026-08-06T22:41:06.157067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.964137Z","title":"4d visualization of dynamic events from unconstrained multi-view videos","venue":null,"work_id":"d343fab0-7760-4aea-8ba8-55221fc71267","year":2020},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:55.673960Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:ca5a2b94f64d2131b2c7fb6bb60925c65cd980ad176654c20cd1e8313658891e","observation_id":"4b90d503-bceb-4f25-921b-b420406d5670","resolution":{"observed_at":"2026-08-06T22:41:06.012720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.810577Z","title":"Nope-nerf: Optimising neu- ral radiance field with no pose prior","venue":null,"work_id":"f2a50755-19bb-412c-ae2f-9850c704b4a6","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:55.730973Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:22ce48e14938050c0e89f672e2d1fc3c08583aa63277e217dffbfed13b04652f","observation_id":"370221e0-d354-4ef2-80d1-1590ee5d394c","resolution":{"observed_at":"2026-08-06T22:41:05.883643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.13528","last_updated":"2025-06-03T13:38:16Z","snapshot_observed_at":"2026-08-16T14:32:46.072269Z","submitted_at":"2023-12-21T02:01:19Z","title":"MoBluRF: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.13528","snapshot_observed_at":"2026-08-06T22:40:55.823087Z","title":"Dyblurf: Dynamic deblurring neural ra- diance fields for blurry monocular video.arXiv preprint arXiv:2312.13528, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:55.823087Z"},"links":{"cited_paper":"/paper/2312.13528","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:96c5afd14cd37f2aa88fca02a6468d2ee5a9a673c838c52d750858c595f7f419","observation_id":"8a37554b-f96b-49de-a46d-2aaf950deeb4","resolution":{"observed_at":"2026-08-06T22:40:55.823087Z","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":"2026-08-06T22:41:05.697134Z","title":"Deblur-gs: 3d gaussian splat- ting from camera motion blurred images.Proceedings of the ACM on Computer Graphics and Interactive Techniques, 7 (1):1–15, 2024","venue":null,"work_id":"42715fee-db97-443c-b539-4610a53f4116","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:55.934770Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:7318319fb8e019a480d3e75534708bc9c7eaef34b6beaddda2ffe79e53d9a647","observation_id":"ce31e024-4ff6-4148-83ed-817b55323a42","resolution":{"observed_at":"2026-08-06T22:41:05.755949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.560902Z","title":"Neural radiance flow for 4d view syn- thesis and video processing","venue":null,"work_id":"5c9e5438-cb03-46f5-bd54-d55b6f6f9a4e","year":2021},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.002564Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:40e6bba314b4a98aa124d85c70afcd0c7c2b704df09554552ff16245cfdbae3e","observation_id":"4f798945-1a63-41be-b39d-30c5866659a4","resolution":{"observed_at":"2026-08-06T22:41:05.617210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03307","last_updated":"2024-07-02T08:33:07Z","snapshot_observed_at":"2026-08-16T14:21:18.133333Z","submitted_at":"2024-02-05T18:59:04Z","title":"4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03307","snapshot_observed_at":"2026-08-06T22:40:56.074877Z","title":"4d gaussian splatting: Towards efficient novel view synthesis for dynamic scenes","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.074877Z"},"links":{"cited_paper":"/paper/2402.03307","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:2c8a4384df835fa34349fa370b8754a4922c7dd69c77ff1431be2d277ea3a067","observation_id":"be5069d0-f762-4b94-82d3-3d97460f2d29","resolution":{"observed_at":"2026-08-06T22:40:56.074877Z","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":"2026-08-06T22:41:05.418932Z","title":"Evaluating alternatives to sfm point cloud ini- tialization for gaussian splatting, 2024","venue":null,"work_id":"b0ec52f5-47b5-422a-96e3-e57baf6c3cd0","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.148669Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:1717292084a1e2a031db425badd98ae9cccd12696d8c85a935a3309da18806e3","observation_id":"a637d66c-c9c3-4e28-b8f9-0c6ef152c691","resolution":{"observed_at":"2026-08-06T22:41:05.487123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.308930Z","title":"Efros, and Xiaolong Wang","venue":null,"work_id":"a7405057-30fd-4cbd-a338-2262c2b30880","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.244926Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:97eb77206960f135870155df6d78692ccbeeaeb41c94d4dd02eaa8d6e54ca9ac","observation_id":"ef5f6e41-71b0-47e3-806d-5a4ddfe446ca","resolution":{"observed_at":"2026-08-06T22:41:05.356838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.152349Z","title":"Understanding the diffi- culty of training deep feedforward neural networks","venue":null,"work_id":"6ea30e77-0d1c-4947-ac90-7d6a27e02fa5","year":2010},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.345995Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:56046ac84ed3cb17afb13e57df805dc2973a87b0ecaa4c9f254f27e3b597a913","observation_id":"2031fb37-356d-4933-9784-43a5c3f32f3c","resolution":{"observed_at":"2026-08-06T22:41:05.227474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:05.042667Z","title":"Scope of va- lidity of psnr in image/video quality assessment.Electronics letters, 44(13):800–801, 2008","venue":null,"work_id":"1b311464-132a-4ce2-a90b-d5aed1737f06","year":2008},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.409606Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:8a7c0d918c01c04d09e95334b7ae13e50569d684ed2df5456e8fed56680be752","observation_id":"6751acce-c2d4-4809-b224-a975c290a938","resolution":{"observed_at":"2026-08-06T22:41:05.094187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:04.926321Z","title":"Neo 360: Neural fields for sparse view synthesis of outdoor scenes, 2023","venue":null,"work_id":"5b53b8c3-444e-46b1-8308-d7a8fc25974b","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.482442Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:21428d125796bd53540523099ee4670405f9e0bfd574a835869ac8ba578d9b17","observation_id":"38c0765c-b1bc-44fb-a672-a3db1c1e6044","resolution":{"observed_at":"2026-08-06T22:41:04.976644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:04.820864Z","title":null,"venue":null,"work_id":"f6b1685e-2a7b-45bd-9c47-18b532e4ef29","year":1995},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.547145Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:f06a335bb557463936b025b5c536508ce4ad52cfc074d170411f129289744d5c","observation_id":"27202b23-08f2-475d-beb6-20984e16ff4d","resolution":{"observed_at":"2026-08-06T22:41:04.861247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:56.645093Z","title":"3d gaussian splatting for real-time radiance field rendering, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.645093Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:42408934ad94bbbaab2a7ebb76f5990eb06f4fe1a5670be41a802b22c95ef0f3","observation_id":"cd4d5c4e-08ad-4c24-8296-3f313361271d","resolution":{"observed_at":"2026-08-06T22:40:56.645093Z","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":"2026-08-06T22:41:04.706158Z","title":"Tanks and temples: benchmarking large-scale scene reconstruction.ACM Trans","venue":null,"work_id":"e4b5f10d-8544-4e8b-a8f7-af6c3b9bbf1e","year":2017},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.710839Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:42001924110fae5e6a17b93aa654fbfc8b91f19b9ce869f70eaab4bab04af91a","observation_id":"1b731a72-3e4d-43c5-869a-4b9d384714f0","resolution":{"observed_at":"2026-08-06T22:41:04.771502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00834","last_updated":"2024-09-24T07:23:40Z","snapshot_observed_at":"2026-08-16T14:30:28.183808Z","submitted_at":"2024-01-01T18:23:51Z","title":"Deblurring 3D Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00834","snapshot_observed_at":"2026-08-06T22:40:56.759377Z","title":"Deblurring 3d gaussian splatting.arXiv preprint arXiv:2401.00834, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.759377Z"},"links":{"cited_paper":"/paper/2401.00834","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c46c51c5b931bed1439e5f9989fb7554bbddf534b8291637211c50da53b68888","observation_id":"4daa259d-096f-4a9e-a3d1-4089ceaae0c8","resolution":{"observed_at":"2026-08-06T22:40:56.759377Z","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":"2026-08-06T22:41:04.575862Z","title":"Dp-nerf: Deblurred neural radiance field with physical scene priors","venue":null,"work_id":"14097385-8d02-4958-92c5-19edff5b2a3c","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.814369Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:dd90f706b2d764c1ddd8a6d2aca69f4336d3701a57572c675f251ec59c8b1c6e","observation_id":"89f54d16-6714-413b-a64c-4cc5ad67e9c9","resolution":{"observed_at":"2026-08-06T22:41:04.628108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:04.442092Z","title":"Exblurf: Efficient radiance fields for extreme motion blurred images","venue":null,"work_id":"220970e8-be6b-47cd-a404-a0285b6b9401","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.899948Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:801b101a3658b0829aaad5ba7134bec597b94d2e16252a259d0d10925572ebd9","observation_id":"84c2ddfd-c9fb-482c-9695-b1489ead2ef6","resolution":{"observed_at":"2026-08-06T22:41:04.516466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:56.964185Z","title":"Neural 3d video synthesis from multi-view video","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:56.964185Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:a27e26f901b798abd55677a65207929a71458797541c3bc506182a3559a0d743","observation_id":"d1e1e1e0-43f5-4bfa-9c6f-86373eb23175","resolution":{"observed_at":"2026-08-06T22:40:56.964185Z","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":"2026-08-06T22:40:57.044990Z","title":"Neural scene flow fields for space-time view synthesis of dy- namic scenes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.044990Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:b9f6c85a8eff41d67d967c9760327d36c0f9e67adfc51db90b06b19f54d4a0a9","observation_id":"d154d8b3-502f-4096-b885-a3ea8b7598e6","resolution":{"observed_at":"2026-08-06T22:40:57.044990Z","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":"2026-08-06T22:40:57.090624Z","title":"Spacetime gaus- sian feature splatting for real-time dynamic view synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.090624Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c2b4d5066e71000d38d28579fd71dbd0c09ff5af8a748d2803089540276b3f22","observation_id":"f18f2641-99e3-4f03-ba55-64b71ceeaf27","resolution":{"observed_at":"2026-08-06T22:40:57.090624Z","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":"2026-08-06T22:41:04.290756Z","title":"3d geometry-aware deformable gaussian splatting for dynamic view synthesis","venue":null,"work_id":"952934f7-a029-4a17-b427-4f3e07c6a003","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.191420Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:6f167e998eb3bc00c9334da4545ebc88d49aa06c24766f1e05e2f52c9b1a2e4e","observation_id":"cb2020eb-fcb6-45e6-901e-a7709ed8f72f","resolution":{"observed_at":"2026-08-06T22:41:04.346451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09713","last_updated":"2023-08-18T17:59:21Z","snapshot_observed_at":"2026-08-16T15:07:28.304169Z","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":"2026-08-06T22:40:57.304023Z","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":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.304023Z"},"links":{"cited_paper":"/paper/2308.09713","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:25955cca195f0dbcdbcafda97f6cec29ca0fe7e6d2633a3eac40d97e55a3e06f","observation_id":"c2db3bfd-1c87-451c-8adf-2f7fb79d422c","resolution":{"observed_at":"2026-08-06T22:40:57.304023Z","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":"2026-08-06T22:41:04.148979Z","title":"Deblur-nsff: Neural scene flow fields for blurry dynamic scenes","venue":null,"work_id":"82d04f3d-1bac-41d6-b90a-aefcc5addbc2","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.387211Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:5e5b834ba90883170f39904afd40d2e5b6eea62bb6b8aef68820dfd8435ecb21","observation_id":"cc0695dd-3932-43f5-9ebc-0b2b3d231c8c","resolution":{"observed_at":"2026-08-06T22:41:04.235484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:03.989716Z","title":"Deblur-nerf: Neural radiance fields from blurry images","venue":null,"work_id":"fb9ce8e0-8592-462e-9a2d-213a00a1f7e1","year":2022},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.509303Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:411a26ae5c72b760b13d16b5c1932c72c8d6af74bc4b399a5cb27e93038e6f13","observation_id":"42e843ed-1699-4512-9056-893f232f92de","resolution":{"observed_at":"2026-08-06T22:41:04.083716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:57.588751Z","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":null,"year":2021},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.588751Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:5d4ac6e5e5f09b2ffb7df60de0c11b83cbabcc6c72566a20e25d8861b3347b48","observation_id":"561d0128-abdc-4fc4-a91f-95f1fc23d077","resolution":{"observed_at":"2026-08-06T22:40:57.588751Z","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":"2026-08-06T22:41:03.782555Z","title":"Multidiff: Consistent novel view synthesis from a single image","venue":null,"work_id":"14683003-7194-4145-b978-269bd529726e","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.677233Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:d17f6703ff745b32d6839884649afd31b7fe32d9f8c57ab50da7ec3aecfdce42","observation_id":"24aba540-9faf-415e-a5f4-45eda212da11","resolution":{"observed_at":"2026-08-06T22:41:03.881077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:03.579620Z","title":"Point-dynrf: Point- based dynamic radiance fields from a monocular video","venue":null,"work_id":"88b0411a-4a43-4e8c-975c-9911c325052f","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.748967Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:523903d25c236073916ec611a840883adfbe7e1856439a653513b5fe4e389c13","observation_id":"71a17659-b097-4ce0-98bc-c5df9e8f7c13","resolution":{"observed_at":"2026-08-06T22:41:03.677054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:03.402244Z","title":"K-nearest neighbor.Scholarpedia, 4:1883,","venue":null,"work_id":"35a81c06-1f88-41de-a057-6069cb14d967","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.814467Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:5d425bf410277ebf1984e4eddf0f2d6e1cd20b627fb98fc082216fdcabcc345c","observation_id":"b31277f7-a5c8-4aac-8f4f-f2effdb7ddd2","resolution":{"observed_at":"2026-08-06T22:41:03.465529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:57.899637Z","title":"Structure- from-motion revisited","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.899637Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:09e489b0def2791cf8ae98bb6f158c1abe729bd4ce6edc85e1c83f0ce0bc028a","observation_id":"3c01f94c-67f9-4632-8f87-6dec7a9310b5","resolution":{"observed_at":"2026-08-06T22:40:57.899637Z","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":"2026-08-06T22:41:03.221147Z","title":"Gaussian splatting on the move: Blur and rolling shut- ter compensation for natural camera motion, 2024","venue":null,"work_id":"23b76cf2-130c-489f-a1d3-2b84e57ff123","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:57.983410Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:9c57e0061912506a947df516a2a89ca6c318d95a53bd56c922236351a3688a19","observation_id":"8359b0bb-73e2-4bbb-a3d3-bc383365da6c","resolution":{"observed_at":"2026-08-06T22:41:03.304617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:03.034765Z","title":"Seitz, and Richard Szeliski","venue":null,"work_id":"3dd9f370-4899-4b8b-914a-6cc9541d1e49","year":2006},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.065334Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:158c72fe56aeecf65718128dc84aec7e5f02396ea810b8828bd12858c614651d","observation_id":"581bc5b1-0bcc-4101-a948-2842f595ddf8","resolution":{"observed_at":"2026-08-06T22:41:03.109722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:02.296832Z","title":"Bad-nerf: Bundle adjusted deblur neural radiance fields","venue":null,"work_id":"1e96d73b-069e-41f2-949a-a6ac488e0ae2","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.171373Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:bc43f1fe91254919817874ba162d0935457c5c71e762e0ffb38fee934727d8fa","observation_id":"4d691310-e7c1-4332-b2f8-7b387902b543","resolution":{"observed_at":"2026-08-06T22:41:02.941205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:40:58.244484Z","title":"Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.244484Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:b1a365f46b1186a9fe2c21229dc1c1a7bae264694225ed100b4de613c7dc152b","observation_id":"6d63f54b-b06a-48aa-b54b-1f182bda602a","resolution":{"observed_at":"2026-08-06T22:40:58.244484Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04628","last_updated":"2022-10-06T16:59:56Z","snapshot_observed_at":"2026-08-16T19:00:06.320422Z","submitted_at":"2022-10-06T16:59:56Z","title":"Novel View Synthesis with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.04628","snapshot_observed_at":"2026-08-06T22:40:58.296473Z","title":"Novel view synthesis with diffusion models.arXiv preprint arXiv:2210.04628, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.296473Z"},"links":{"cited_paper":"/paper/2210.04628","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:397c49d1f1ab4593e8a38a3a57f485f2eaf224557bb602ec51439236b370158e","observation_id":"615420b3-5994-4060-a400-284f4b08f14c","resolution":{"observed_at":"2026-08-06T22:40:58.296473Z","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":"2026-08-06T22:41:01.784409Z","title":"3d-aware image generation using 2d diffusion mod- els","venue":null,"work_id":"66dbd240-86b9-40aa-8d97-58a6263c96a2","year":2023},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.343899Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:99db34470feada1dd5b367823e568655eb64669ae5f4c42fe0dbc48895c32f12","observation_id":"8e206f3e-54e0-4f6a-9680-69ec0026aeb7","resolution":{"observed_at":"2026-08-06T22:41:01.964552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05055","last_updated":"2024-12-19T03:11:39Z","snapshot_observed_at":"2026-08-16T18:58:16.002570Z","submitted_at":"2024-01-10T10:30:18Z","title":"Deep learning in motion deblurring: current status, benchmarks and future prospects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.05055","snapshot_observed_at":"2026-08-06T22:40:58.497182Z","title":"Application of deep learn- ing in blind motion deblurring: Current status and future prospects.arXiv preprint arXiv:2401.05055, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.497182Z"},"links":{"cited_paper":"/paper/2401.05055","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:ad3588e4c990a7924c54faf08564a2421072b795e46542cefc1b668994536433","observation_id":"7b851eed-60b4-452a-8a2a-9dcac303ba9b","resolution":{"observed_at":"2026-08-06T22:40:58.497182Z","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":"2026-08-16T14:51:40.074797Z","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":"2026-08-06T22:40:58.622164Z","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":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.622164Z"},"links":{"cited_paper":"/paper/2310.10642","citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:77b0c7d1384a3cf80432502ebbbe1c3504c6f1652b3c71eb1bbaad6a740c2199","observation_id":"87b900a4-5667-4ee6-ba08-37246ec887cc","resolution":{"observed_at":"2026-08-06T22:40:58.622164Z","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":"2026-08-06T22:40:58.749797Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.749797Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:28638e0ab75e9507989667caf1cfd67f591f77a6e0f9a37e2b231fd9f7c64e7b","observation_id":"67415c78-4f19-47c9-b096-b47c397db156","resolution":{"observed_at":"2026-08-06T22:40:58.749797Z","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":"2026-08-06T22:41:01.501447Z","title":"Dyn- point: Dynamic neural point for view synthesis.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"fe997888-a1a7-49a9-84ca-8bf1c540cec1","year":2024},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:58.933661Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:a48c8812633f8856b43f0e4665a12756ed86db6e024594b6d58037fee0223b1d","observation_id":"e94d133b-d492-4db0-b648-fe9abf391a6c","resolution":{"observed_at":"2026-08-06T22:41:01.615927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:01.234099Z","title":null,"venue":null,"work_id":"0a701e4a-edfb-47d3-9c2a-4f992e424d52","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.058770Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c8bad16d59304b1b270570c177eda7f498e7f84c6234fc87395b0f0f1f873d31","observation_id":"c1d54840-e3e9-4620-ae89-e1a6eb9289a8","resolution":{"observed_at":"2026-08-06T22:41:01.328181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:01.009080Z","title":null,"venue":null,"work_id":"788242fe-017e-4a76-8805-910d026aaeee","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.161360Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:7dc72e385f318fa421fcbd32f51beec32cdcc3f22e1bc4caa85910f9afd17e81","observation_id":"4e2d52fb-b236-450e-a375-ed8196280d8a","resolution":{"observed_at":"2026-08-06T22:41:01.159059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.795714Z","title":"ExBluRF ExBluRF [18] presents challenging motion-blurred images by incorporating random 6-DOF camera motion trajecto- ries","venue":null,"work_id":"d11c50da-82e0-46f8-a4ba-5d8b3d573c03","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.207101Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:84dad923425f3df44cd1ab96ebf5527973cff64881a714c19f5a603e8a16b8d7","observation_id":"65012209-c548-48b3-a0d4-34cc5ca54a69","resolution":{"observed_at":"2026-08-06T22:41:00.882217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.600985Z","title":"Technical specifications are also detailed","venue":null,"work_id":"7a37d294-e418-4e9c-b2f7-4c54d27da622","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.355708Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:922abb21d28ca10185fc0f644e5caf7beccec48ce3851b0addf2ba48850fe37b","observation_id":"03720107-f97e-485f-84cd-19ce7b76f41e","resolution":{"observed_at":"2026-08-06T22:41:00.706849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.440517Z","title":"Preliminaries 3D Gaussian Splatting.3DGS [14] represents a volumetric scene as a set of 3D Gaussians","venue":null,"work_id":"fecc1a18-5e75-4c31-9f28-36edd6219cf4","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.502105Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c6cd3bf31db184e2f40fb1c274a6b3b9c887750ee32953d708a7f64c306f2500","observation_id":"e6834ee0-03e2-44ea-878d-455cfc4f8a48","resolution":{"observed_at":"2026-08-06T22:41:00.520879Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.326597Z","title":"2 and 3, respectively","venue":null,"work_id":"6682be31-97ca-4ee7-a813-4395ea64fc92","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.616618Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:c9cde11dbb1ae960ac0f872b83934d0c458126baaf94cb0369b457256628ddce","observation_id":"34b59bae-3cc1-43b9-9782-b381c09790ad","resolution":{"observed_at":"2026-08-06T22:41:00.364230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.134767Z","title":"Before” refers to the sparse Gaussian points initialized from the original 3DGS, while “After","venue":null,"work_id":"703559c9-8bf4-4aed-9cd9-84c08b232636","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.696666Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:bfee2e7c9302af394271a8e77f7d64673ef39f0decdde73956d14912b4b97579","observation_id":"80518fd2-0165-4ae8-910d-808f201ef200","resolution":{"observed_at":"2026-08-06T22:41:00.213384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-06T22:41:00.018974Z","title":null,"venue":null,"work_id":"1660c2bb-e68a-4a2f-af4e-4eff80b537a2","year":null},"citing_paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:40:59.833352Z"},"links":{"citing_paper":"/paper/2506.20998"},"observation_digest":"sha256:d81d59870f14e5183ada346dd6668ce89707ff37c392a610047da7acfcc8a143","observation_id":"2f45abe3-6c65-469b-92fc-21769080ec13","resolution":{"observed_at":"2026-08-06T22:41:00.065700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.20998","last_updated":"2025-06-26T04:28:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T04:07:17.195311Z","submitted_at":"2025-06-26T04:28:48Z","title":"DBMovi-GS: Dynamic View Synthesis from Blurry Monocular Video via Sparse-Controlled Gaussian Splatting"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":0,"verified_fuzzy":28},"total_outbound_references":48},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2506.20998."}