Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:47:48.234340Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T04:47:48.234340Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
25 of 25 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation aa72713d-b288-43b9-99a6-73e6b8649384 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Real-time post- processing effects in 3d rendering.Game Developer Mag- azine, 2008
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d795f127-105c-4849-9f69-9bab2799cbf8 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting The frame rate of a virtual reality headset, 2023
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dd725ac7-7a68-4a25-adaf-7e19a1af5858 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting readthedocs
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ed26c75-2709-4017-90d1-d41d21e6134b · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 557a60b2-aa75-4d06-963f-fa6d61732ea9 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Accessed: 2025-01-26
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 387ee33d-4895-457a-957a-a1e0ab083c0a · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Opengl: A graphics api, 2024
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d968103-06a5-421d-8d17-870225e51a07 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Springer, 2001
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be2a9d2c-f641-470e-8539-a546dcbf40c0 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural network ambient occlusion
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f1e35b5-0e55-4313-9abf-2dd90a82084d · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting A survey on post- processing techniques in computer graphics.ACM Comput- ing Surveys, 52(6):1–36, 2019
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a9d3b37-4292-49a0-a2d8-b285e369da6e · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Bloom example image, 2024
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f55202a7-0611-418e-92d8-b3195f976471 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Deep learning.Nature, 521(7553):436–444, 2015
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ec92bf4e-0b72-4b2c-9278-b47c6aa64e71 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting 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,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2325ee9c-6dc1-450e-8840-217a9b9d08b0 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Deep Shading: Convolutional Neural Networks for Screen-Space Shading
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 52d826c2-9b78-4ded-840c-ec6f3b9d0ae5 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Accessed: 2024-11-30
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 558c6a56-9183-47c1-9725-81cf80893f50 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Elsevier, 3rd edition,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 83c166a9-dbd5-4ddd-bfe4-e2da9729e0ba · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Torchscript: A scripting language for pytorch models, 2019
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e05088a-f38e-45bd-9640-9a6e5b35cea6 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Mseloss — pytorch 2.0 documenta- tion.https : / / pytorch
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f618bdea-dbe8-441a-a489-8004528bcd52 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting U-net: Convolutional networks for biomedical image segmentation
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43052f21-791d-480e-b685-6cdaf905180a · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural illumination: Lighting prediction for indoor environments
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4a945e46-53a2-4861-9e9a-f960d5f70c47 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Version 2024.1.0, available athttps://unity.com/
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a7b0dad0-ed40-459a-a506-c510dbc5c668 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting https : / / docs
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e743014-505a-49be-9e3c-987956054b17 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unity asset store.https : / / assetstore.unity.com, n.d
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a74816d9-dc61-4faf-abcb-b8b375e6b3e8 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Motion sickness in virtual reality, 2023
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 806e84b1-a199-4d6e-800e-f5056b04ecd9 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural supersampling for real-time rendering.ACM Trans
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71bd42a1-24d2-46db-9548-f7745f19c036 · outbound
Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unresolved cited work
Reference 2016
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
No inbound Pith citation observations are available.