{"as_of":"2026-08-14T19:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:35d49fb9c1ccb08fe81ebfa665c88927b56486e931f2c65ba708cd03a1916fe6","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:42:55.885487Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"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/2508.06632/citation-record","integrity":"/paper/2508.06632/integrity","json":"/paper/2508.06632/citation-record.json","paper":"/paper/2508.06632"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T22:42:55.755400Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.755400Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:f1d5ad1c4f41b7919b46f4bf9bc8bbd54fa90851a2693766bbf43a9358c8d262","observation_id":"1f879883-2410-415d-8dd2-48110fce7805","resolution":{"observed_at":"2026-08-05T22:42:55.755400Z","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":"2026-08-05T22:42:55.759863Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.759863Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:287108bc829ba436d109fe78d6474abdb6f82a4b65b0fbfa7c88f27bc3157ad9","observation_id":"2b6d923d-7b9b-42c7-8603-768bde1aa10a","resolution":{"observed_at":"2026-08-05T22:42:55.759863Z","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":"2026-08-05T22:42:56.320514Z","title":null,"venue":null,"work_id":"5c5f378a-d3ea-4ba0-a6f9-c8a3435cfb2b","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.764416Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:a4f8e1423f9a980b939c76838ad786462abeb80cf442c867a66ff69db28673f4","observation_id":"9b9ca1d7-2395-453d-885d-d2cd208b9e10","resolution":{"observed_at":"2026-08-05T22:42:56.324564Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.307945Z","title":"T.; Liu, C.; and Lensch, H","venue":null,"work_id":"1b7184fe-be07-4433-96f5-1f173d519eff","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.768453Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:3c47cacfcd056c2640a7fd7187ca4f5194d36f210f70a3dd2cca46fd809862d1","observation_id":"2d3b2254-3940-4f77-971e-008d1e2ad68d","resolution":{"observed_at":"2026-08-05T22:42:56.311792Z","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":"2026-08-05T22:42:56.295112Z","title":null,"venue":null,"work_id":"f918dbb2-6fde-43b4-8b71-b350d90132e4","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.772993Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:f3bf2b6a9e4763e4ea5b89180a0e7e5d1f637ce11c97c69841cd2f63cae55b5e","observation_id":"ab421a63-b6a9-4f82-b2b3-55159b35f9fa","resolution":{"observed_at":"2026-08-05T22:42:56.299043Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.282319Z","title":"R.; Monteiro, M.; Kellnhofer, P.; Wu, J.; and Wetzstein, G","venue":null,"work_id":"d2ca868f-0be8-40d3-8224-729d3fabe9a6","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.777141Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:f416e710468148781e627d8289b3d917bf17cb36717e863d609e6a392ff58e54","observation_id":"a235d7f5-1bc5-4bae-8615-ac6f28b40906","resolution":{"observed_at":"2026-08-05T22:42:56.286081Z","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":"2026-08-05T22:42:56.269402Z","title":null,"venue":null,"work_id":"df43fb27-275c-48aa-8adb-0dbda65f78a7","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.781123Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:799b53081f330229238e7127c49b490414c59ff3d829c4087e39e64e6a5069df","observation_id":"df9bf9c2-d7c5-4342-8f6d-55053ee11c64","resolution":{"observed_at":"2026-08-05T22:42:56.273300Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.255424Z","title":null,"venue":null,"work_id":"dec8845d-c973-4158-bb9f-2e6caac04486","year":2018},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.784972Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:fe007406d378881c3057235fdad2bd5e34564a17c18daeb0123d1707d29ed550","observation_id":"48b4493d-abb6-40c3-96ed-bbbf5e1a0d06","resolution":{"observed_at":"2026-08-05T22:42:56.259839Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.240762Z","title":"d.; Courville, A.; and Bengio, Y","venue":null,"work_id":"d4723b13-7fb4-4ea9-9ff1-72bb86ab1dc2","year":2018},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.789589Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:bbf7a686929e02346f6db999c7e8fb7a099834736d7c70b4e2c7bcff4b576091","observation_id":"809ffad0-3774-4a5d-af96-9f9f2b945974","resolution":{"observed_at":"2026-08-05T22:42:56.244939Z","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":"2026-08-05T22:42:56.226934Z","title":"R.; Recht, B.; and Kanazawa, A","venue":null,"work_id":"700b7df8-9a3f-4ee9-b027-5f913aa73f62","year":2023},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.793379Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:5c5e7efb262519483b8202e52adf09ee6b9476c87d742312ec26b9413d95e537","observation_id":"5bb66337-796e-4a54-8d4e-d59513a33387","resolution":{"observed_at":"2026-08-05T22:42:56.231108Z","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":"2026-08-05T22:42:56.213264Z","title":null,"venue":null,"work_id":"1c4983fa-77c4-4277-8a03-794757f001aa","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.797230Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:191572c2546bbaa6e230a2086f71657831b6711a9432191e0a3d18003e3e1358","observation_id":"f3c59fb5-6fab-4ec3-ad2d-de95128a180e","resolution":{"observed_at":"2026-08-05T22:42:56.217474Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.200054Z","title":null,"venue":null,"work_id":"4be2ca0d-5905-4adb-8add-78349e81a3b1","year":2019},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.800806Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:8b558d6acdc410e7221e45e5feccf1092f97050f7018d3e5aad6aaa4a8caf753","observation_id":"b2d88d42-09da-4744-bb64-dea0bf323f99","resolution":{"observed_at":"2026-08-05T22:42:56.204114Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.186720Z","title":null,"venue":null,"work_id":"884eee6b-3ff4-4b84-8ad1-b6c48d6fb08b","year":2023},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.804729Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:8698b4d43344480239079fb5a83251bb591b8dd2431f358bb9c8d219097742a4","observation_id":"01e72806-63bd-4c1f-b310-4617361d12ad","resolution":{"observed_at":"2026-08-05T22:42:56.190651Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:55.808172Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.808172Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:e09ab5d03d68b617f0cfb86c0d7d21977510e68bfeb7e22d6dc6774f754d6ff6","observation_id":"db36cfdf-adec-41f5-b36b-3cdbc4d7849e","resolution":{"observed_at":"2026-08-05T22:42:55.808172Z","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":"2026-08-05T22:42:56.164421Z","title":null,"venue":null,"work_id":"89ade015-70b1-4895-897c-b5d4e3c8133b","year":2023},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.811926Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:36b4eacd70d1c668ebc7600217ee6ae127d16dbb1af1ae9987d7b1172b53c991","observation_id":"e00dd15c-cba0-4cf7-ace7-c8c77c734ed2","resolution":{"observed_at":"2026-08-05T22:42:56.168285Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2506.16262","last_updated":"2025-06-23T13:06:37Z","snapshot_observed_at":"2026-08-13T05:12:58.495447Z","submitted_at":"2025-06-19T12:25:46Z","title":"R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16262","snapshot_observed_at":"2026-08-05T22:42:55.815766Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.815766Z"},"links":{"cited_paper":"/paper/2506.16262","citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:77fa63057237fd528bd21275945d699f7d5edb9959aa8da0d68e96e41156b4cc","observation_id":"26377fa0-84c0-462a-926b-875bbb1bd701","resolution":{"observed_at":"2026-08-05T22:42:55.815766Z","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":"2026-08-05T22:42:56.151598Z","title":null,"venue":null,"work_id":"3f93e1fa-8cc5-48a5-abf1-27f1609f57fa","year":2020},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.819968Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:49554c17692b2c683fab5a14e09a54a4e3496782af3454767a9d59e8e18ba7e9","observation_id":"62b447db-583d-4c91-8cb1-67319cfea83b","resolution":{"observed_at":"2026-08-05T22:42:56.155647Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.138605Z","title":null,"venue":null,"work_id":"331383cf-0255-4d78-97a8-5a276df48a12","year":2023},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.823679Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:03b0151563e8a98dc2eb2bb7dba33c490b3f83e0a3e96f7824859db2952824d4","observation_id":"7660bdee-d35f-4766-ae18-ed74bdacb491","resolution":{"observed_at":"2026-08-05T22:42:56.142534Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.125859Z","title":"S.; Barron, J","venue":null,"work_id":"46561c71-5f29-4517-9e8f-2bee7a54825f","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.827656Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:b8ea1e626fd5f025e2248369912a1da7779f3f9cfe1596022232288ad3022b5a","observation_id":"c0b27e5e-eb94-484e-baea-8010335edd8d","resolution":{"observed_at":"2026-08-05T22:42:56.129683Z","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":"2026-08-05T22:42:56.112900Z","title":"P.; Ortiz-Cayon, R.; Kalantari, N","venue":null,"work_id":"0b568edf-4fa1-4ea2-84ac-c479ffb6864b","year":2019},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.831745Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:87504e353fed48fc3499c10c3629191a62862e8efe9f840193ac92de2fbb2c24","observation_id":"9f809695-c0b5-403f-bcd6-b2e96c2482f1","resolution":{"observed_at":"2026-08-05T22:42:56.117421Z","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":"2026-08-05T22:42:56.100711Z","title":"P.; Tancik, M.; Barron, J","venue":null,"work_id":"6f9dd825-c248-47a4-937f-1a644bd0d0d1","year":2020},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.835873Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:178ff78315f8be7af233d65e0fa301cdc46e1eeaeabde52cabb04445aeccf78a","observation_id":"18d4622d-86d8-425f-bc0e-92aa59b3916d","resolution":{"observed_at":"2026-08-05T22:42:56.104523Z","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":"2026-08-05T22:42:56.088715Z","title":null,"venue":null,"work_id":"77c3dd11-ca0a-41c6-b263-52fcfae3bbe5","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.839764Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:05eff77ce08be2742ecf92ab41eb79dfa01b3e06fd83bea0b88f033b41162cf2","observation_id":"499d3452-3ef4-45d6-a92c-070488a8a894","resolution":{"observed_at":"2026-08-05T22:42:56.092258Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.075901Z","title":null,"venue":null,"work_id":"a86fda2a-e307-42ad-b787-308888afacd6","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.843593Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:05a1b1d34d054f1f4d3ef421af74b624ea9439cac8967d46bcab5210e68ccc3e","observation_id":"61fa1198-b1ac-43d1-afb1-6388eaffe6fc","resolution":{"observed_at":"2026-08-05T22:42:56.079935Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.063251Z","title":null,"venue":null,"work_id":"b1a1f44b-8a64-49ba-99ca-09958c92c051","year":2018},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.847652Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:453857ae68b894b899a49703314b28c5f1bb00cad46be59995c4eb2500ec37ef","observation_id":"61b269fc-850f-4a52-bf91-a4ed5dd00496","resolution":{"observed_at":"2026-08-05T22:42:56.067159Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.050587Z","title":"L.; Zheng, E.; Pollefeys, M.; and Frahm, J.-M","venue":null,"work_id":"1ef75dbd-720f-46f3-9849-d7940fc8a4ed","year":2016},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.851224Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:4b9a7cd654c703bc031fd603fccb2066f34f001a8de4e53d874c5e829de25f3a","observation_id":"077b1e94-a5f1-4a74-a068-b093252d19af","resolution":{"observed_at":"2026-08-05T22:42:56.054542Z","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":"2026-08-05T22:42:56.037268Z","title":null,"venue":null,"work_id":"cd322c60-e98f-49c3-8cda-69f2b00abe6b","year":2019},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.854821Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:67121d6230b2fb5e99b831d74438c9adc624917320859ce948cd4886ff35a603","observation_id":"ef779e7d-8fd0-4179-a599-9fa811b21bbf","resolution":{"observed_at":"2026-08-05T22:42:56.040992Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.023993Z","title":null,"venue":null,"work_id":"a6689a46-a58a-413b-a891-907c4d957866","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.858583Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:12bc526921d8a0cb4fc82174d719b40bb39ddb1cc753ff1ad1085b662aeaa3d9","observation_id":"68982e10-9dbf-413d-8eb3-8bef0c6aac4a","resolution":{"observed_at":"2026-08-05T22:42:56.027976Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:56.010229Z","title":"T.; and Srinivasan, P","venue":null,"work_id":"61bb13d7-c929-46e0-a0b8-2882c0c07ef6","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.862464Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:ca98dcc7b596e21ad861687951af885ccbe27a982f8cd7a822101dc1ceb4d501","observation_id":"8cab8a4b-8a73-44f6-960e-894bbc84b12a","resolution":{"observed_at":"2026-08-05T22:42:56.014764Z","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":"2026-08-05T22:42:55.996434Z","title":null,"venue":null,"work_id":"1538ed16-6206-4858-a658-c7ae87c38c59","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.866314Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:eb86d4a1e59ce312135fc1baa4b4080867ff8803bdef172864f181c1610b910e","observation_id":"340d5a97-b515-4407-b60d-16c0ad56dca1","resolution":{"observed_at":"2026-08-05T22:42:56.000209Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:55.983215Z","title":null,"venue":null,"work_id":"4db77167-a7a6-4eb8-b780-47635f9cacb2","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.870114Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:5012b41b063fd7d56c2747c9d37f97838e60f05bc66099f5b1f92863ae4f6df7","observation_id":"cee546cf-49ff-4122-bcb5-de1fcac2e4a4","resolution":{"observed_at":"2026-08-05T22:42:55.987136Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"1505.00853","last_updated":"2015-11-27T06:58:14Z","snapshot_observed_at":"2026-07-06T04:16:54.272660Z","submitted_at":"2015-05-05T01:16:39Z","title":"Empirical Evaluation of Rectified Activations in Convolutional Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.00853","snapshot_observed_at":"2026-08-05T22:42:55.873867Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.873867Z"},"links":{"cited_paper":"/paper/1505.00853","citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:e145fb8980ce6d22b234373006c732130aa8c309f8c07811a82b374ac6121574","observation_id":"3f5ba4be-ea3f-44c1-ba8b-346c3b771e10","resolution":{"observed_at":"2026-08-05T22:42:55.873867Z","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":"2026-08-05T22:42:55.969591Z","title":null,"venue":null,"work_id":"9a0aa320-53d8-4664-a2f4-450a8583b03b","year":2022},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.878088Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:d947bbe04f4dc6afcfd59d9ef7668e1ffb34d12a25f189beac54c4064ea882ba","observation_id":"896716fa-a7a5-4a33-9e11-22af1cd7b1b4","resolution":{"observed_at":"2026-08-05T22:42:55.973505Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:55.956316Z","title":null,"venue":null,"work_id":"f6e94f76-0f5f-45c6-a0b8-73b2fcd8bd8d","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.881687Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:fe2e0d4f265f9852f2e254162c011679968e17c9d38968408d62b21bcb73eedf","observation_id":"fe3dbaa5-e9d6-4c20-b039-3ee654706453","resolution":{"observed_at":"2026-08-05T22:42:55.960432Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T22:42:55.941971Z","title":null,"venue":null,"work_id":"3d78f921-583e-4abf-9ad5-7827113c815a","year":2021},"citing_paper":{"arxiv_id":"2508.06632","last_updated":"2025-08-08T18:30:02Z","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T22:42:55.885487Z"},"links":{"citing_paper":"/paper/2508.06632"},"observation_digest":"sha256:64fe9ffbbb4f8b935a7ef58121b88ec6d9de3009760c5a9281bb6f28f21c9617","observation_id":"bda92763-4128-43e6-909b-86869a3fb83f","resolution":{"observed_at":"2026-08-05T22:42:55.947131Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2508.06632","last_updated":"2025-08-08T18:30:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:10:48.804367Z","submitted_at":"2025-08-08T18:30:02Z","title":"CoDe-NeRF: Neural Rendering via Dynamic Coefficient Decomposition"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":34},"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 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2508.06632."}