{"as_of":"2026-08-17T15:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c5361eadda32bfd801121c90308af4583720a168bc39f425eee99fc6826338fd","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T04:47:48.234340Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2509.05963/citation-record","integrity":"/paper/2509.05963/integrity","json":"/paper/2509.05963/citation-record.json","paper":"/paper/2509.05963"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T04:47:50.280362Z","title":"Real-time post- processing effects in 3d rendering.Game Developer Mag- azine, 2008","venue":null,"work_id":"dd75949f-3fbb-4ca4-9968-ca0cf9000111","year":2008},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.621842Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:fffad0202fd4c63292842054b34db31c805e09554bd3a67705f50db059b213f5","observation_id":"aa72713d-b288-43b9-99a6-73e6b8649384","resolution":{"observed_at":"2026-08-05T04:47:50.324025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:50.186034Z","title":"The frame rate of a virtual reality headset, 2023","venue":null,"work_id":"123da2fb-d127-4800-ac87-05e5ac47400c","year":2023},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.626569Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:fd63acc70f9813d37dc9429dbcc0c238e8565d3528f3e957ab1acf39512a6808","observation_id":"d795f127-105c-4849-9f69-9bab2799cbf8","resolution":{"observed_at":"2026-08-05T04:47:50.223915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:50.088868Z","title":"readthedocs","venue":null,"work_id":"1e41fb05-7e35-4ca5-8723-2fc60b6146c2","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.633361Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:9b1992ad43ee3a1cf6b9dad19afb8235784a4c1f174c82e7275fd046ee4dee35","observation_id":"dd725ac7-7a68-4a25-adaf-7e19a1af5858","resolution":{"observed_at":"2026-08-05T04:47:50.133207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.993697Z","title":null,"venue":null,"work_id":"afe8ad45-341a-433c-9cc2-825d2b27488b","year":null},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.639718Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:23800befe824aa7100bb9ab06d7d2fcf790be70f607beb75dfd6a1953405f1c8","observation_id":"6ed26c75-2709-4017-90d1-d41d21e6134b","resolution":{"observed_at":"2026-08-05T04:47:50.033064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.895624Z","title":"Accessed: 2025-01-26","venue":null,"work_id":"7ad4e077-bdd9-4669-9102-73d42dab082a","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.648016Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:30d339f74386f907093f387c56e623dc23f2ca702ea37e42dc4c404af12db64a","observation_id":"557a60b2-aa75-4d06-963f-fa6d61732ea9","resolution":{"observed_at":"2026-08-05T04:47:49.943144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.796011Z","title":"Opengl: A graphics api, 2024","venue":null,"work_id":"33452a62-69b5-47cf-8df9-ed34168d3fd7","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.655773Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:e2d9da62658d5cd38017ca5a53081c6319b20777d04b9ac60634345b13ec786a","observation_id":"387ee33d-4895-457a-957a-a1e0ab083c0a","resolution":{"observed_at":"2026-08-05T04:47:49.843370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.683855Z","title":"Springer, 2001","venue":null,"work_id":"30ef7809-4f16-4b9d-a744-9850dbb7d8b4","year":2001},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.662648Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:3e8d81bba167bf55931c37b5f2da85fba00fda0e15806f52376841ead1af784c","observation_id":"4d968103-06a5-421d-8d17-870225e51a07","resolution":{"observed_at":"2026-08-05T04:47:49.740859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.631468Z","title":"Neural network ambient occlusion","venue":null,"work_id":"39d21875-6356-4ea9-bddd-17e02ac8c8e2","year":2016},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.670012Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:80f68c223b3fa428e1c151c26e5544dcc0c7ebd0d1fcff351e42cf7db4f02d4d","observation_id":"be2a9d2c-f641-470e-8539-a546dcbf40c0","resolution":{"observed_at":"2026-08-05T04:47:49.654868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.530923Z","title":"A survey on post- processing techniques in computer graphics.ACM Comput- ing Surveys, 52(6):1–36, 2019","venue":null,"work_id":"d6ada901-0904-4105-ae55-ff9266e6ed1e","year":2019},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.676737Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:ef8c16a6de3ddf455bd3de4c8a6b51f33a19424d13180922a7053d9de3fafdad","observation_id":"2f1e35b5-0e55-4313-9abf-2dd90a82084d","resolution":{"observed_at":"2026-08-05T04:47:49.564572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.455408Z","title":"Bloom example image, 2024","venue":null,"work_id":"d119b61e-a6a9-4459-9817-ac0602f08063","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.683255Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:846c76ffb2fe57696dbf2e32d5ef55e276bd557d8a5f5d54df30f4a2e9fe6bc1","observation_id":"3a9d3b37-4292-49a0-a2d8-b285e369da6e","resolution":{"observed_at":"2026-08-05T04:47:49.487962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.362809Z","title":"Deep learning.Nature, 521(7553):436–444, 2015","venue":null,"work_id":"7ebd882e-c54a-4310-ab3e-8196c8912b15","year":2015},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.689342Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:f4637c3eb5c3e8ea1da0f18884042752d284f84a104077dceb871b9e9cdf56ae","observation_id":"f55202a7-0611-418e-92d8-b3195f976471","resolution":{"observed_at":"2026-08-05T04:47:49.399602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.306727Z","title":"Artificial neural network based smart and energy efficient street lighting system: A case study for residential area in hosur.Sustainable Cities and Society, 48:101499,","venue":null,"work_id":"e59d40d3-e72e-407c-8e36-9b4216f46968","year":null},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.695627Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:5eedcb9fd9860fc5406b71d975c538a079bd3c6a672de34f0deaf8b9c2e05d82","observation_id":"ec92bf4e-0b72-4b2c-9278-b47c6aa64e71","resolution":{"observed_at":"2026-08-05T04:47:49.325989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.06078","last_updated":"2016-08-03T11:11:55Z","snapshot_observed_at":"2026-08-14T22:05:20.864089Z","submitted_at":"2016-03-19T10:29:57Z","title":"Deep Shading: Convolutional Neural Networks for Screen-Space Shading","version":2},"cited_work":{"arxiv_id":"1603.06078","doi":null,"metadata_source":"pith","pith_arxiv_id":"1603.06078","snapshot_observed_at":"2026-08-05T04:47:48.317863Z","title":"Deep Shading: Convolutional Neural Networks for Screen-Space Shading","venue":"cs.GR","work_id":"aa72b5df-b99d-42b7-a3cd-3eb3c9be811b","year":2016},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.701732Z"},"links":{"cited_paper":"/paper/1603.06078","citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:cacf557759ab79c48984a558cb4bb71781b2277e06dcd4d417c5c13f70831529","observation_id":"2325ee9c-6dc1-450e-8840-217a9b9d08b0","resolution":{"observed_at":"2026-08-05T04:47:48.361742Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.224636Z","title":"Accessed: 2024-11-30","venue":null,"work_id":"dcd467a8-0a00-4328-a790-a1d8ad815bd6","year":2023},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.719147Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:912ca73858036677cee3d44691b27b3c3c267bd806d525a256e0adabf7779557","observation_id":"52d826c2-9b78-4ded-840c-ec6f3b9d0ae5","resolution":{"observed_at":"2026-08-05T04:47:49.263003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.144318Z","title":"Elsevier, 3rd edition,","venue":null,"work_id":"b0707380-c440-4cb8-bcaf-38591aa4b2f6","year":null},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.738941Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:26e12697e44431bc23819539ba0294113321b607e3564c68ad990d25d96c6053","observation_id":"558c6a56-9183-47c1-9725-81cf80893f50","resolution":{"observed_at":"2026-08-05T04:47:49.177183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.010495Z","title":"Torchscript: A scripting language for pytorch models, 2019","venue":null,"work_id":"54cc1552-b467-4982-9fef-6bf425468aab","year":2019},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.792461Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:1bebe454a93a202990963768765e04872c38f9a4ab17ce4e33b373615d1b1881","observation_id":"83c166a9-dbd5-4ddd-bfe4-e2da9729e0ba","resolution":{"observed_at":"2026-08-05T04:47:49.038851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.924385Z","title":"Mseloss — pytorch 2.0 documenta- tion.https : / / pytorch","venue":null,"work_id":"dc404997-5aef-46e5-be41-990108e6cb52","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.840353Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:cfd5eafaf9b77217f1e5afb8c4ad3a68feed43323701820842a4d643c0239c1f","observation_id":"9e05088a-f38e-45bd-9640-9a6e5b35cea6","resolution":{"observed_at":"2026-08-05T04:47:48.970750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.851622Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"a031ad27-97e8-4bef-9f63-ea748ebb91a1","year":2015},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.892139Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:7f02cfad752d3a0bcfa3f3f8c3065a4f512fe1c902c4394e8c031a7e147e48ec","observation_id":"f618bdea-dbe8-441a-a489-8004528bcd52","resolution":{"observed_at":"2026-08-05T04:47:48.885879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.753422Z","title":"Neural illumination: Lighting prediction for indoor environments","venue":null,"work_id":"c007cd0d-e10f-4d9f-84a7-db44ec716c8a","year":2019},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.952042Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:b56a625215603e3b5a5cd0963ae01a971e714e8f6d60105a30002f17b02d5769","observation_id":"43052f21-791d-480e-b685-6cdaf905180a","resolution":{"observed_at":"2026-08-05T04:47:48.816562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.667538Z","title":"Version 2024.1.0, available athttps://unity.com/","venue":null,"work_id":"5901a3ff-24a2-441a-a9a3-9ec51559c5f6","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:48.007871Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:2c43821f9f945e903ea3aa9c28ac4b05a9dca1dab79a926c78cd3aa4ac27b0af","observation_id":"4a945e46-53a2-4861-9e9a-f960d5f70c47","resolution":{"observed_at":"2026-08-05T04:47:48.700383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.604228Z","title":"https : / / docs","venue":null,"work_id":"80cd8e86-285b-4b4e-953f-9b754b5b4b54","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:48.102891Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:a56e523e5cd000447d0885948171ef14207a25a8289d5956288895b05178145a","observation_id":"a7b0dad0-ed40-459a-a506-c510dbc5c668","resolution":{"observed_at":"2026-08-05T04:47:48.633969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.537729Z","title":"Unity asset store.https : / / assetstore.unity.com, n.d","venue":null,"work_id":"b7cdf2df-27a5-4127-af77-3e2dc47beaec","year":2024},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:48.134450Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:fb14ef50023c597af696be467662720a0da2de3a7b070b9f12ef8d53e6a03f33","observation_id":"9e743014-505a-49be-9e3c-987956054b17","resolution":{"observed_at":"2026-08-05T04:47:48.570589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.471710Z","title":"Motion sickness in virtual reality, 2023","venue":null,"work_id":"fa1552e1-be38-4b5a-81ae-cbff6728685d","year":2023},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:48.215712Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:06fc438ffb2e717468babf8ec2dffa3f07013f40505f1f2493f91cd03dc55d29","observation_id":"a74816d9-dc61-4faf-abcb-b8b375e6b3e8","resolution":{"observed_at":"2026-08-05T04:47:48.502660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:48.409555Z","title":"Neural supersampling for real-time rendering.ACM Trans","venue":null,"work_id":"d477e689-389d-4622-b151-19c472ba067d","year":null},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:48.234340Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:81f34d0d5049b3e168f35574b8f82b9bc414b5aef794ac40710687f6fed508eb","observation_id":"806e84b1-a199-4d6e-800e-f5056b04ecd9","resolution":{"observed_at":"2026-08-05T04:47:48.435621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-05T04:47:49.074087Z","title":null,"venue":null,"work_id":"5089f060-26e5-4490-8649-6d02ee65ec7c","year":null},"citing_paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-05T04:47:47.761586Z"},"links":{"citing_paper":"/paper/2509.05963"},"observation_digest":"sha256:575e335db39a203e9cee7677bb28ae1a6a92367ca63648e931b3de82e885d143","observation_id":"71bd42a1-24d2-46db-9548-f7745f19c036","resolution":{"observed_at":"2026-08-05T04:47:49.104886Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.05963","last_updated":"2025-09-07T08:04:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T19:25:47.979193Z","submitted_at":"2025-09-07T08:04:44Z","title":"Neural Bloom: A Deep Learning Approach to Real-Time Lighting"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":25},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2509.05963."}