{"as_of":"2026-08-15T04:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:330c1d25f5f34af905745a41d5a77028576f2edcd534c0bd55a70e04f7ca6297","coverage":[{"denominator":70,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":70,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:36:59.077764Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.08531/citation-record","integrity":"/paper/2608.08531/integrity","json":"/paper/2608.08531/citation-record.json","paper":"/paper/2608.08531"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:37:00.113560Z","title":"Ev-segnet: Semantic segmentation for event-based cameras","venue":null,"work_id":"9984dd79-55d8-4c80-a4c8-e3bb316ebaa4","year":2019},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.813227Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:abe6ad905c62aa40bd948a6aa58f1451eb8bd4fc58186e6d768ee81c9f245010","observation_id":"b827f660-3519-4d35-9d08-c1a393fa3414","resolution":{"observed_at":"2026-08-14T04:37:00.117772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:37:00.097638Z","title":"Event-based near-eye gaze tracking beyond 10,000 hz.IEEE Transactions on Visualization and Computer Graphics, 27(5):2577–2586, 2021","venue":null,"work_id":"f831009c-a49b-4376-8d63-01ab2f671fee","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.817432Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:682c9b527ed4338d59733e5fb48f06f4b7c2f5ea25eb203bd06409d33b2c4a93","observation_id":"b9a75c04-6805-486a-bdec-cb230c028b86","resolution":{"observed_at":"2026-08-14T04:37:00.104075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:37:00.083788Z","title":"Deepdeform: Learning non-rigid rgb-d reconstruction with semi-supervised data","venue":null,"work_id":"55d1d690-c6dc-47de-af93-fdf3c525c48f","year":2020},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.821371Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:9c18b1c6331031b095cb60e9e592b603232e1484d8a4f8200988ad6a31b799f4","observation_id":"4bae0d41-d7ec-43b0-96fc-7a85bc842df4","resolution":{"observed_at":"2026-08-14T04:37:00.088287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.825280Z","title":"Hexplane: A fast representa- tion for dynamic scenes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.825280Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:a412343ea7564403e9fb712e34f0a90753f228fe04faa69466e7a8cc8749cc3c","observation_id":"8a9a2965-c168-4e5e-bc09-224a49b0e1d0","resolution":{"observed_at":"2026-08-14T04:36:58.825280Z","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":"2026-08-14T04:37:00.062792Z","title":"E2GS: Event enhanced gaussian splatting","venue":null,"work_id":"0a5595b8-46f1-4f7b-ab6c-74ee267fbbfd","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.829486Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:63a8f0360f779780fe5178cd96b9c420c9bd24b97d42e0df6960443af3ee7580","observation_id":"74bb1433-c585-4563-b4eb-1903a30b75d8","resolution":{"observed_at":"2026-08-14T04:37:00.067059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:37:00.049718Z","title":"Activity-driven, event-based vision sensors","venue":null,"work_id":"da633e23-4c79-474e-82ef-1c1cf258ec7d","year":2010},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.833289Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ea40343fc8c2f0c75666a99ff86a88deea07780473b53f9c6558608f3313f4e9","observation_id":"cabc7260-335e-4272-a59f-be037c083f96","resolution":{"observed_at":"2026-08-14T04:37:00.054189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:37:00.035462Z","title":"A voxel graph cnn for object classification with event cameras","venue":null,"work_id":"dc679dc2-e0b1-44e7-8ee9-cb903ea729a3","year":2022},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.837308Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:52443b140223610336404608f695781434e159d05120c8bd40d033a7da001a5d","observation_id":"fe95890b-c7ea-41f6-b782-17ab2467b5a5","resolution":{"observed_at":"2026-08-14T04:37:00.040158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:37:00.020585Z","title":"Neural radiance flow for 4d view 15 synthesis and video processing","venue":null,"work_id":"6dba9bd9-c9c6-4b64-ac1e-ce100b67742b","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.841206Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:dc35fa429c701d5368685bf21b34a22cffa7408811b9b5158dbbab195eb44aa0","observation_id":"a3b5cfed-961d-4b7d-adbf-addb699ca7e5","resolution":{"observed_at":"2026-08-14T04:37:00.026101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.844821Z","title":"Eventaid: Bench- marking event-aided image/video enhancement algorithms with real-captured hybrid dataset.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.844821Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:3b6d4f047fe811aabe9a60f6e530d0027b923d06585d7d319a226a15a5d1ade7","observation_id":"a7762359-de22-43ac-851d-f01fd650096c","resolution":{"observed_at":"2026-08-14T04:36:58.844821Z","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":"2026-08-14T04:36:59.989192Z","title":"Hypere2vid: Improving event-based video reconstruction via hypernetworks.IEEE Transactions on Im- age Processing, 2024","venue":null,"work_id":"ba83aa56-5c50-4cc0-aebb-dd22946779ee","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.848606Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:dd9e1bcdd4c14f133ca79193d13bc8b4aa3729cdfc231931f47aec66a2972049","observation_id":"a4f27ac0-9e13-435c-9546-a9735f419ce8","resolution":{"observed_at":"2026-08-14T04:36:59.997894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.852203Z","title":"Event-based vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(1):154–180, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.852203Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:dcd20614bff508b1bf4d760b8ac9927f1f078b713601d617cf6c13e759dbe262","observation_id":"2e3cb33c-7e82-4daf-9380-19eab600e49e","resolution":{"observed_at":"2026-08-14T04:36:58.852203Z","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":"2026-08-14T04:36:58.856128Z","title":"Dynamic view synthesis from dynamic monocular video","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.856128Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:9eff1f8dfa27201a35bad3e9d40ad8cd4a1ccdf9f7b26b51e1f88dd2ed147080","observation_id":"6ce178e0-c1ea-4b7f-a383-4283ab0a3597","resolution":{"observed_at":"2026-08-14T04:36:58.856128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12365","last_updated":"2024-05-13T19:06:48Z","snapshot_observed_at":"2026-08-13T00:50:44.324755Z","submitted_at":"2024-03-19T02:22:21Z","title":"GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12365","snapshot_observed_at":"2026-08-14T04:36:58.859809Z","title":"Gaussianflow: Splatting gaussian dynamics for 4d content creation.arXiv preprint arXiv:2403.12365, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.859809Z"},"links":{"cited_paper":"/paper/2403.12365","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:52139d0a0aace3ab4f04e5cf7928786dc0199fb0136f389a09b32ca56b0917ad","observation_id":"fbd317d4-3c11-45af-a835-babd211d8293","resolution":{"observed_at":"2026-08-14T04:36:58.859809Z","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":"2026-08-14T04:36:58.863816Z","title":"Recurrent vision transformers for object detection with event cameras","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.863816Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:e85b21e72f53c4a71e1a431b938ddff028d2d0825c6a8aab38660718d88bff7d","observation_id":"b0c436fc-ccb4-43de-810d-ca3b279de75e","resolution":{"observed_at":"2026-08-14T04:36:58.863816Z","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":"2026-08-14T04:36:59.952849Z","title":"E-raft: Dense optical flow from event cam- eras","venue":null,"work_id":"12e4817c-1b9c-453a-9712-db59d5f5cf1e","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.867459Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:64ce53d71e58009a51da5746b489cd4e099501c50ab9cffc0699a878dccd35b5","observation_id":"7161690e-5a81-4291-92de-693378fdc061","resolution":{"observed_at":"2026-08-14T04:36:59.957469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.935603Z","title":"Event-3dgs: Event-based 3d reconstruction using 3d gaus- sian splatting.Advances in Neural Information Processing Systems, 37, 2024","venue":null,"work_id":"e2482c5d-a967-474d-9a40-685a74253892","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.871408Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ac8eb85c0d12896ad5ab1498aa646d3f25aa884f81b484e34e60a87d4fd06fb6","observation_id":"3800ac44-000f-47e6-b85d-6372eb03d33c","resolution":{"observed_at":"2026-08-14T04:36:59.940189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.917425Z","title":"A causal convolutional neural network for multi-subject mo- tion modeling and generation.Computational Visual Media, 10(1):45–59, 2024","venue":null,"work_id":"8b2eb163-e94d-4394-926d-11c77c4baff2","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.875673Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:79d9bcd98c829b31c5e7583d64786c0ab0c632326df7ccf41f1cbbca07555088","observation_id":"0aa28f1b-2371-41c9-a0bd-ca0a4088b59d","resolution":{"observed_at":"2026-08-14T04:36:59.924114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.880015Z","title":"v2e: From video frames to realistic dvs events","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.880015Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:f60a4ca9d9f33cd712b156f029d7dc2a8bd0466728d709b62e635a16a824f211","observation_id":"d2442d5e-952f-4b87-8c5c-dd5e1a35aea0","resolution":{"observed_at":"2026-08-14T04:36:58.880015Z","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":"2026-08-14T04:36:59.886332Z","title":"Ev3DGS: Event enhanced 3D gaussian splatting from blurry images","venue":null,"work_id":"d55b4b79-115d-4674-bea3-6a2b777334b0","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.883807Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:63aac484df0e7af80025b5928c820a8f80633505608605ea5997e101fbe57ec6","observation_id":"b0729b2d-69e4-460c-b1a4-7536f2bda8a0","resolution":{"observed_at":"2026-08-14T04:36:59.891098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.871129Z","title":"Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes","venue":null,"work_id":"6b5ec932-f9ec-4e82-a8c8-f67cca2ca310","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.887518Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:9d676d45d2810efc23cc682c71bbe31e237a4a3b17306f5ef20521128fdd622b","observation_id":"1f0d8967-1b62-4fb3-ba95-62ad403e341b","resolution":{"observed_at":"2026-08-14T04:36:59.875534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.857405Z","title":"Event- based 3d motion flow estimation using 4d spatio temporal subspaces properties.Frontiers in Neuroscience, 10:596, 2017","venue":null,"work_id":"5ff9ee0c-6465-4dca-a888-99fb6c2b301e","year":2017},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.891583Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:cf4825538ceb9e24d15a1c9a1ba7b1dbc3687968a72df85102500878619a67ac","observation_id":"8042cafa-56e6-40ef-b8eb-d601bde7a9d2","resolution":{"observed_at":"2026-08-14T04:36:59.861799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.843544Z","title":"Real-time 3d reconstruction tech- niques applied in dynamic scenes: A systematic literature review.Computer Science Review, 39:100338, 2021","venue":null,"work_id":"9258f381-8864-4387-9725-b579e12a70ee","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.895086Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:4f59f2f1e32d293bae2f76ff65b6d4f946ea8940355926d5a95c185750b89610","observation_id":"e0527aae-4360-4f5e-ba07-3b3d204d2035","resolution":{"observed_at":"2026-08-14T04:36:59.848756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.828069Z","title":"3D gaussian splatting for real-time radiance field rendering.ACM Trans","venue":null,"work_id":"fb60fec9-304d-416c-afad-9b604add06d1","year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.898854Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ef038798f0fbb5e6a71598579af2981e312440cd93dd6d261ad91110d851475a","observation_id":"19893034-b297-4417-af44-99fa48d0bc23","resolution":{"observed_at":"2026-08-14T04:36:59.832667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.903162Z","title":"Neural 3d video synthesis from multi-view video","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.903162Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:bd4787bd054ecc6bd3ab7f5c2d2a29abe6c6908801d61a7b057b6a3fe835307c","observation_id":"84c63735-642a-4c1b-b7cf-513000117363","resolution":{"observed_at":"2026-08-14T04:36:58.903162Z","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":"2026-08-14T04:36:59.802601Z","title":"Dynibar: Neural dynamic image-based rendering","venue":null,"work_id":"38430ae1-2e22-4252-b903-2801d2c5a202","year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.907040Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:5620fcd69d7feab906b8ce4bbed5ac7535d91dcc82834b369bde42551f02d33b","observation_id":"c0e1820a-7755-4c4c-9839-a71a5f7ffe0c","resolution":{"observed_at":"2026-08-14T04:36:59.808067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.910967Z","title":"Spacetime gaus- sian feature splatting for real-time dynamic view synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.910967Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:cbac3acdcd641a3217ff7a11906b15e6be5125653a225d874b0b66f75a15f7a9","observation_id":"41675c12-df33-447c-b79e-37469e2a8d48","resolution":{"observed_at":"2026-08-14T04:36:58.910967Z","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":"2026-08-14T04:36:59.777159Z","title":"EF- 3DGS: Event-aided free-trajectory 3d gaussian splatting","venue":null,"work_id":"39ff234d-abc9-46a3-a259-cb216b1a9104","year":2025},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.914998Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:0416e7e81bd5df1408c726bb92c32b9ae5322ee7df287554c71353c688abe36b","observation_id":"d6e0b3b5-bbcb-4f18-a8d9-d7794f0163db","resolution":{"observed_at":"2026-08-14T04:36:59.782093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.761218Z","title":"A 128 times 128 120 db 15 us latency asynchronous temporal contrast vision sensor.IEEE journal of solid-state circuits, 43(2):566–576, 2008","venue":null,"work_id":"e1000c92-219a-49f0-b10e-8ff8e4412678","year":2008},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.918689Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:e91dbd34b50d093826bdc6bac8846367c06f116f12d617e1c83eaf89d656fb07","observation_id":"75ae2b86-72f1-490d-8ee0-d04e2b982fb9","resolution":{"observed_at":"2026-08-14T04:36:59.765878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.748894Z","title":"Embodied neuromorphic synergy for lighting-robust machine vision to see in extreme bright.Nature Communications, 15(1):10781, 2024","venue":null,"work_id":"c0bc9721-ac9c-4273-93bb-2cfe64c22932","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.923196Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:abc83d15cf8b235a2bc8afc5e1ad9bcceba10bc0192599d076743c79afcf8f30","observation_id":"f883bac8-1331-4153-89fa-3a026f52ad0a","resolution":{"observed_at":"2026-08-14T04:36:59.753343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.735760Z","title":"All- in-Focus Imaging from Event Focal Stack","venue":null,"work_id":"02cc7994-a020-4640-9226-6777e690d46c","year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.927745Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:1bbd82d4d029ab4e60c4b0f1561c5e42b8889cd65745f4bb02fc97244ab4d081","observation_id":"f4990ad2-daa9-42ec-b3ee-4ebf5da2ca10","resolution":{"observed_at":"2026-08-14T04:36:59.740178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09713","last_updated":"2023-08-18T17:59:21Z","snapshot_observed_at":"2026-08-13T10:32:10.871509Z","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":"2026-08-14T04:36:58.931732Z","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":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.931732Z"},"links":{"cited_paper":"/paper/2308.09713","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:c84bac83a7cbd4143617f1ec08bdd74315c072fae68ab62d64e6f08ada87e189","observation_id":"85460db5-04a1-4de7-891b-4312fa95753d","resolution":{"observed_at":"2026-08-14T04:36:58.931732Z","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":"2026-08-14T04:36:59.723410Z","title":"Deformable neural radiance fields using rgb and event cameras","venue":null,"work_id":"53cc09ac-2e09-4330-abbe-ea8d0442a2bc","year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.935827Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:410f36f413668a9e5a75bd96a8f64c045a7ac5ecc15ee95dca9c757a50646bdf","observation_id":"7e60203f-95d6-493c-88f5-6cb508979971","resolution":{"observed_at":"2026-08-14T04:36:59.727618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.710631Z","title":"Multi-bracket high dynamic range imaging with event cameras","venue":null,"work_id":"6ba14c91-ecd3-423f-872a-2d7c9226c848","year":2022},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.939699Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:7f811c4c84bffafe947505392c83316cd2df740ebe751239d0c12c0939642a97","observation_id":"07c71fba-0d13-457c-b913-2ad9b72c0de0","resolution":{"observed_at":"2026-08-14T04:36:59.714748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.696190Z","title":"Data-driven feature tracking for event cameras","venue":null,"work_id":"eb3e8674-5c8f-49d9-bf7c-7c5fbe8c14fc","year":2023},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.943248Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:0e23d0133b4f5b169034d8492eeada33fa2e90b624ffd4524c9fbd49de149fea","observation_id":"135e1917-4d4c-4657-94b4-7b55f97c51f1","resolution":{"observed_at":"2026-08-14T04:36:59.701159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.947024Z","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":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.947024Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:7a4aeda75c48735cd7a71ea9ba4cd8b85795e90a0272602d01f6d52a43ae01f4","observation_id":"0b954f38-1ff6-4dab-9f2f-60699cff8874","resolution":{"observed_at":"2026-08-14T04:36:58.947024Z","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":"2026-08-14T04:36:59.672646Z","title":"Exploiting event cameras for spatio- temporal prediction of fast-changing trajectories","venue":null,"work_id":"ffa7432b-c486-42c7-b3d8-efb71e7bbb37","year":2020},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.950686Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:2bfb4f90ed85bef821aae4cedcde0d4d1df19d46dbea6bbe9d59754060506469","observation_id":"1c7dda91-87c7-4c92-9d35-b47d2f62e40c","resolution":{"observed_at":"2026-08-14T04:36:59.679315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.659007Z","title":"Visual event-based egocentric human action recognition","venue":null,"work_id":"e0947931-4fc3-4e58-a593-a5e95c003c91","year":2022},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.954648Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:503c0cd1ce3bbe98a53db6e1db9c3e495d86f672848f8db44e8b58b962b88c2f","observation_id":"69011714-82b3-43c4-af83-6068d68b9205","resolution":{"observed_at":"2026-08-14T04:36:59.663250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.643370Z","title":"The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam.The International Journal of Robotics Research, 36(2):142–149, 2017","venue":null,"work_id":"121f57f1-f980-4351-99d6-83c8d7dbfbd1","year":2017},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.958290Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:6987907434c1c275c4a6242d20a02e5604bd92a36267c6e91a51dfd9832e81e9","observation_id":"15c5743a-a6f1-4f8d-af29-0f39bbeaedfb","resolution":{"observed_at":"2026-08-14T04:36:59.649092Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.962088Z","title":"Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.962088Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:fdea6df2bf048c2bdb59c45a91c672c7bd1822e460ea6dd589f4de46ef485fc7","observation_id":"7dadc05e-c612-4207-bfd4-689e7ae44e9f","resolution":{"observed_at":"2026-08-14T04:36:58.962088Z","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":"2026-08-14T04:36:58.965419Z","title":"Nerfies: Deformable neural radiance fields","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.965419Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:2c17280fa136b53c27ba9758494f8d9f994bac83bba4fae8bf2731f84894b391","observation_id":"d5452759-cf0c-4ec0-a0aa-39474e64a444","resolution":{"observed_at":"2026-08-14T04:36:58.965419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-14T04:36:58.969323Z","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":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.969323Z"},"links":{"cited_paper":"/paper/2106.13228","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:1698b567c204a4c66554c6ea8c405384b4d0a8a7a1364c1cd2fa73eb0f58cf2e","observation_id":"16f240d9-beec-44b1-9696-534c5d73a139","resolution":{"observed_at":"2026-08-14T04:36:58.969323Z","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":"2026-08-14T04:36:59.612970Z","title":"Gaussian-plus-sdf slam: High-fidelity 3d reconstruction at 150+ fps.Computa- tional Visual Media, 2025","venue":null,"work_id":"bd478b17-65eb-42a2-b71f-22d093c1fbbf","year":2025},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.973907Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:7985787123ff96b475de00db1ecf2d74ef04f6040dc25424b9603b8106dad1ad","observation_id":"95ff9925-b3f3-4869-afb1-faab392f347e","resolution":{"observed_at":"2026-08-14T04:36:59.617942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:58.977751Z","title":"D-nerf: Neural radiance fields for dynamic scenes","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.977751Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:067dbc9576ec1ded249a72b2951e4b2dda31ff59a5e65438d58b5cad6e739b79","observation_id":"d8c4817c-a038-48c6-b0f3-2f947a553c86","resolution":{"observed_at":"2026-08-14T04:36:58.977751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-14T04:36:58.981330Z","title":"SAM 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.981330Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:9de1a311c12c9b214c8bdea9cfddcba1527fe7da6c0315cc6ffe200665ba3b61","observation_id":"e903a18e-82f5-4f2c-9c3f-8d3598cae527","resolution":{"observed_at":"2026-08-14T04:36:58.981330Z","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":"2026-08-14T04:36:59.588818Z","title":"Esim: an open event camera simulator","venue":null,"work_id":"d220d99e-b63b-4100-9de9-29c312ca7adc","year":2018},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.985338Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:fe42cf98b2b643ab89febc49d9151e98bce26b37eb6aa964891ca79fa0b2ee5d","observation_id":"55db34e2-6c62-46c9-b7b4-9a0348af9f94","resolution":{"observed_at":"2026-08-14T04:36:59.593724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.572614Z","title":"High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019","venue":null,"work_id":"e8cfc7e9-ae48-4832-b293-f027f099041b","year":1964},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.988751Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:6bd50623c9632728d8e47224fd92470bd08dda88084622d2bec1036e4e7ba49f","observation_id":"44aea7f8-1804-45a7-a880-38cc66e320bc","resolution":{"observed_at":"2026-08-14T04:36:59.581308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17898","last_updated":"2024-10-17T07:11:31Z","snapshot_observed_at":"2026-08-13T00:44:30.009391Z","submitted_at":"2024-03-26T17:39:36Z","title":"Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17898","snapshot_observed_at":"2026-08-14T04:36:58.992303Z","title":"Octree-gs: Towards consistent real-time rendering with lod-structured 3d gaussians.arXiv preprint arXiv:2403.17898, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.992303Z"},"links":{"cited_paper":"/paper/2403.17898","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:cb6bb65d33a263c9497270d313bf9efebcc80f4eb979a4cde4f7874e82f84fc6","observation_id":"bdd11456-a086-46e4-af48-1b0b59718871","resolution":{"observed_at":"2026-08-14T04:36:58.992303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06770","last_updated":"2025-07-16T23:08:37Z","snapshot_observed_at":"2026-08-14T20:38:56.087259Z","submitted_at":"2024-12-09T18:56:18Z","title":"Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06770","snapshot_observed_at":"2026-08-14T04:36:58.996856Z","title":"Dynamic eventnerf: Re- constructing general dynamic scenes from multi-view event cameras.arXiv preprint arXiv:2412.06770, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:58.996856Z"},"links":{"cited_paper":"/paper/2412.06770","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:3e5b051d188a20ad7972f3744da63cab78c4aa4e4d630216b3df1f791930ead8","observation_id":"8e5912e5-5507-43e8-8883-e01e3cf819ef","resolution":{"observed_at":"2026-08-14T04:36:58.996856Z","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":"2026-08-14T04:36:59.559721Z","title":"Fast im- age reconstruction with an event camera","venue":null,"work_id":"856af0ec-108b-4a84-bd1b-6396cfa0cd19","year":2020},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.000855Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:71ccfe6ec51435efd83215b56486dc38d494f3b82079afd3eeb3b076b9bb2e4d","observation_id":"c73d651a-d633-440c-9f14-41f773e3a41e","resolution":{"observed_at":"2026-08-14T04:36:59.563903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.545413Z","title":"Structure-from-motion revisited","venue":null,"work_id":"90ba06af-c44c-4cb6-ab19-fa13b8990f58","year":2016},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.004332Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:039c3365c0269458d1d88066477462c65ff8bf02b2a78d1794eacbcb3358ba5b","observation_id":"6cf315d3-a24a-4a70-87f4-4f59eb213292","resolution":{"observed_at":"2026-08-14T04:36:59.550378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.531914Z","title":"Learning dense and continuous optical flow from an event camera.IEEE Transactions on Image Processing, 31:7237–7251, 2022","venue":null,"work_id":"f5bab0e5-73ec-40d4-a3bc-616ffb807439","year":2022},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.007956Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:7e5217db67cff9c38b935f0191dfacead0403b149f502c358473cac9c8897e47","observation_id":"1887df21-1377-43ce-a7e5-e6d96e0fdf01","resolution":{"observed_at":"2026-08-14T04:36:59.536999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.519060Z","title":"Instance-level moving object segmentation from a sin- gle image with events.International Journal of Computer Vision, pages 1–22, 2025","venue":null,"work_id":"97808253-6885-4777-aec6-a3cc8e21cc57","year":2025},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.011679Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:f7ccde510868c38c46774637d7b8810840b37dd899f63dfd7acc489a53f73611","observation_id":"9c075db1-087a-4ba0-9bbc-934a737e544c","resolution":{"observed_at":"2026-08-14T04:36:59.523484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01333","last_updated":"2025-07-02T01:46:31Z","snapshot_observed_at":"2026-08-13T20:33:54.814841Z","submitted_at":"2024-05-02T14:38:18Z","title":"NeRFs in Robotics: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.01333","snapshot_observed_at":"2026-08-14T04:36:59.015454Z","title":"NeRF in robotics: A survey.arXiv preprint arXiv:2405.01333, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.015454Z"},"links":{"cited_paper":"/paper/2405.01333","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:3a49a70f42768f10381ffee5f1c1acb0416fa29ba13196661ab522cd36045fa0","observation_id":"905c753b-39ea-47c0-a350-531020415e75","resolution":{"observed_at":"2026-08-14T04:36:59.015454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14959","last_updated":"2024-10-10T07:41:26Z","snapshot_observed_at":"2026-08-14T23:21:10.158221Z","submitted_at":"2024-05-23T18:10:26Z","title":"EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14959","snapshot_observed_at":"2026-08-14T04:36:59.019658Z","title":"Evggs: A collaborative learning framework for event-based generalizable gaussian splatting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.019658Z"},"links":{"cited_paper":"/paper/2405.14959","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:8ffd46b126d6bf767eb622f2cd8bdf9e5ccfcffafa45446be792fe52991cc74b","observation_id":"9f86d1e1-11a1-4ffd-a320-37b525c2dc78","resolution":{"observed_at":"2026-08-14T04:36:59.019658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02405","last_updated":"2021-10-05T23:23:51Z","snapshot_observed_at":"2026-08-13T17:58:55.114824Z","submitted_at":"2021-10-05T23:23:51Z","title":"Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction","version":1},"cited_work":{"arxiv_id":"2110.02405","doi":null,"metadata_source":"pith","pith_arxiv_id":"2110.02405","snapshot_observed_at":"2026-08-14T04:36:59.232764Z","title":"Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction","venue":"cs.CV","work_id":"21e634c0-1361-478c-a923-402c01dcacb5","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.023794Z"},"links":{"cited_paper":"/paper/2110.02405","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ab23d00d3d167ad78b06e6c0a550153f20f4fcdd320b221122486d6d5b59e4b9","observation_id":"e01592ea-538b-4eb0-a317-25c3c3d74067","resolution":{"observed_at":"2026-08-14T04:36:59.239691Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.508097Z","title":"4d gaussian splatting for real-time dynamic scene rendering","venue":null,"work_id":"69a7f65f-287b-4dc7-b273-c19325ce5b60","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.027606Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:06641fc74c752b9f424e622e33ab3a4b84f7a5e7c5dde75bf9b5f28a6f0863ef","observation_id":"14b13722-c6db-4ec7-8b01-2edcc9fa3311","resolution":{"observed_at":"2026-08-14T04:36:59.511973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.495150Z","title":"Ev-gs: Event-based gaussian splatting for efficient and accurate radiance field rendering","venue":null,"work_id":"da3a3fb7-135c-4a80-bb38-dc39c02c3ccb","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.031186Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:884253b3ed67856590c217ec5ea407715d0306fa55a1a45664cf1acf0c6bb92a","observation_id":"f0c514b5-8465-427d-adf6-98e413bd6df7","resolution":{"observed_at":"2026-08-14T04:36:59.499958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.034717Z","title":"Sweepevgs: Event-based 3d gaussian splatting for macro and micro radiance field rendering from a single sweep.arXiv preprint arXiv:2412.11579, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.034717Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:72c098e90fefcb1def0cacc131714576b8e67fa6d02e488defc6347012e59c0a","observation_id":"bc6a080a-7424-495c-93c8-862139667ac1","resolution":{"observed_at":"2026-08-14T04:36:59.034717Z","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":"2026-08-14T04:36:59.483274Z","title":"Recent advances in 3d gaussian splatting.Computational Visual Media, 10(4):613– 642, 2024","venue":null,"work_id":"83776fa3-8401-4e86-b8e4-708481505077","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.038187Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:95113239cfe02496c5804d74637671c4859b3e9d4eca108f81fdf37a0d96df18","observation_id":"fe5da1d1-34fe-41f4-8dc8-0867d7bb73ed","resolution":{"observed_at":"2026-08-14T04:36:59.487333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.469811Z","title":"Local gaus- sian density mixtures for unstructured lumigraph rendering","venue":null,"work_id":"54e4f6a4-92c9-483c-9a17-a92f2f854ea5","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.041809Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:16ad7e03a083cfaa59b5205024d372f8e31f962e94382751902f9e165be04004","observation_id":"15c9b3e4-6302-4449-99d1-3285adc5c6f3","resolution":{"observed_at":"2026-08-14T04:36:59.475314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.457235Z","title":"Space-time neural irradiance fields for free-viewpoint video","venue":null,"work_id":"112c45e5-0241-4f75-80b3-436a06b9a0e2","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.045618Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:108e150c265214844f3af8b85e6a1f476cd4b03aac9a7319704287c127e2ee7a","observation_id":"016f817f-ada2-47b3-b71e-9f8033d5b71e","resolution":{"observed_at":"2026-08-14T04:36:59.461524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02972","last_updated":"2024-10-14T01:07:01Z","snapshot_observed_at":"2026-08-14T23:21:58.927311Z","submitted_at":"2024-06-05T06:06:03Z","title":"Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02972","snapshot_observed_at":"2026-08-14T04:36:59.049099Z","title":"Event3DGS: Event-based 3D gaussian splatting for fast ego- motion.arXiv preprint arXiv:2406.02972, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.049099Z"},"links":{"cited_paper":"/paper/2406.02972","citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:4ad6cee9db2c068a6b1857a5a4935380d5b195367fdb3b004e625f84ce5a2b4a","observation_id":"3928bc4f-9892-437b-be55-8603f3ef1e2f","resolution":{"observed_at":"2026-08-14T04:36:59.049099Z","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":"2026-08-14T04:36:59.443818Z","title":"Event-boosted deformable 3d gaussians for dynamic scene reconstruction","venue":null,"work_id":"00dbcfa9-fce8-4a59-a517-b1716fd43c19","year":2025},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.052961Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ecc49aa125be618fd9877208384e9c169d3b871edcb9c03b99f4f48701e7375e","observation_id":"d4d6906d-c11b-48ea-b6c1-91c5d1b05490","resolution":{"observed_at":"2026-08-14T04:36:59.448167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.430690Z","title":"Dmit: Deformable mipmapped tri-plane representation for dynamic scenes","venue":null,"work_id":"7a71956f-e2f7-4bef-8410-a273b4208bb1","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.056073Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:05bbbdcca1030b418c6ab5f8e93a52df55cb7af4182e8ffa3ec77376dd1db51a","observation_id":"2caa6e98-6482-41c5-8c71-8df9ffed9fd1","resolution":{"observed_at":"2026-08-14T04:36:59.435904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.059626Z","title":"Deformable 3d gaussians for high- fidelity monocular dynamic scene reconstruction","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.059626Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:ecd617924b5097448137ccba9d249e1a0c957ec965b1ca544e76fa727030fad6","observation_id":"dae25279-ee77-4868-9708-f22fcc0c4071","resolution":{"observed_at":"2026-08-14T04:36:59.059626Z","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":"2026-08-14T04:36:59.398356Z","title":"Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera","venue":null,"work_id":"8e7876aa-51d3-400c-92a9-3940f4bfd5c2","year":2020},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.062998Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:27f58949a42660b7fe13436b5c34f9606a91bdd0bd904ec1711ee090bbb04de7","observation_id":"7070fb61-5efa-417d-b55e-58736db7d017","resolution":{"observed_at":"2026-08-14T04:36:59.403302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.382813Z","title":"Mip-splatting: Alias-free 3d gaussian splat- ting","venue":null,"work_id":"9b2c6131-1dcb-4868-8b49-76951890eb32","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.066411Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:b00d27174e27e5f9c692d8c1814ed08bc8b509b1622799ddd73fb65636e50079","observation_id":"7125e58e-95fc-4b3d-a466-07e99eef3e53","resolution":{"observed_at":"2026-08-14T04:36:59.387908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.369536Z","title":"Object tracking by jointly exploiting frame and event domain","venue":null,"work_id":"1ff3131b-c450-4fe7-9a98-1c725b76d6a2","year":2021},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.069865Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:0be006cb1aa0ee70080aff667935b8fc6671bff048e7e6bae2bfdac46ae3b9d9","observation_id":"6867b5b6-4567-4ce9-868a-e948dd15ff2e","resolution":{"observed_at":"2026-08-14T04:36:59.374421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.354862Z","title":"Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes","venue":null,"work_id":"58f6d7ae-f26f-4e80-a2b4-b539e5be97e1","year":2024},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.073520Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:4bbe45e81be7b6b2037066d6d0693ccc9f587182e03cb49c449e11baefd7dc51","observation_id":"5e1bb4c1-aa4c-4d4e-bf77-2d37a1916082","resolution":{"observed_at":"2026-08-14T04:36:59.360116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-14T04:36:59.340413Z","title":"The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018","venue":null,"work_id":"9b3c8060-b42c-4da2-931f-d10f1b5a7afe","year":2018},"citing_paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-14T04:36:59.077764Z"},"links":{"citing_paper":"/paper/2608.08531"},"observation_digest":"sha256:9e0ab7e93328aee30772ef5470b0b3e6f92264bd1fd00ac3b31b6cd43d320651","observation_id":"c7c63df1-c345-455f-b771-2540b29a420d","resolution":{"observed_at":"2026-08-14T04:36:59.345100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.08531","last_updated":"2026-08-09T07:00:27Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T14:58:32.001950Z","submitted_at":"2026-08-09T07:00:27Z","title":"ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB Viewpoints"},"reference_resolution":{"displayed":70,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":23,"verified_exact":1,"verified_fuzzy":46},"total_outbound_references":70},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2608.08531."}