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Paper Citation Record · LEDGER

Neural Bloom: A Deep Learning Approach to Real-Time Lighting

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.

pith.paper-citation-record.v1
2509.05963 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:47:48.234340Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa72713d-b288-43b9-99a6-73e6b8649384 · outbound

This paper cites Real-time post- processing effects in 3d rendering.Game Developer Mag- azine, 2008.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:50.324025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d795f127-105c-4849-9f69-9bab2799cbf8 · outbound

This paper cites The frame rate of a virtual reality headset, 2023.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting The frame rate of a virtual reality headset, 2023

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:50.223915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dd725ac7-7a68-4a25-adaf-7e19a1af5858 · outbound

This paper cites readthedocs.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting readthedocs

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ed26c75-2709-4017-90d1-d41d21e6134b · outbound

This paper cites an unresolved cited work.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unresolved cited work

Reference 5

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 557a60b2-aa75-4d06-963f-fa6d61732ea9 · outbound

This paper cites Accessed: 2025-01-26.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Accessed: 2025-01-26

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 387ee33d-4895-457a-957a-a1e0ab083c0a · outbound

This paper cites Opengl: A graphics api, 2024.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Opengl: A graphics api, 2024

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4d968103-06a5-421d-8d17-870225e51a07 · outbound

This paper cites Springer, 2001.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Springer, 2001

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:47:47.662648Z digest=sha256:3e8d81bba167bf55931c37b5f2da85fba00fda0e15806f52376841ead1af784c

Observation be2a9d2c-f641-470e-8539-a546dcbf40c0 · outbound

This paper cites Neural network ambient occlusion.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural network ambient occlusion

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:47:47.670012Z digest=sha256:80f68c223b3fa428e1c151c26e5544dcc0c7ebd0d1fcff351e42cf7db4f02d4d

Observation 2f1e35b5-0e55-4313-9abf-2dd90a82084d · outbound

This paper cites A survey on post- processing techniques in computer graphics.ACM Comput- ing Surveys, 52(6):1–36, 2019.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:49.564572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a9d3b37-4292-49a0-a2d8-b285e369da6e · outbound

This paper cites Bloom example image, 2024.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Bloom example image, 2024

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f55202a7-0611-418e-92d8-b3195f976471 · outbound

This paper cites Deep learning.Nature, 521(7553):436–444, 2015.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Deep learning.Nature, 521(7553):436–444, 2015

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ec92bf4e-0b72-4b2c-9278-b47c6aa64e71 · outbound

This paper cites 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,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:49.325989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2325ee9c-6dc1-450e-8840-217a9b9d08b0 · outbound

This paper cites Deep Shading: Convolutional Neural Networks for Screen-Space Shading.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Deep Shading: Convolutional Neural Networks for Screen-Space Shading

Reference 14

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 52d826c2-9b78-4ded-840c-ec6f3b9d0ae5 · outbound

This paper cites Accessed: 2024-11-30.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Accessed: 2024-11-30

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:49.263003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 558c6a56-9183-47c1-9725-81cf80893f50 · outbound

This paper cites Elsevier, 3rd edition,.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Elsevier, 3rd edition,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:49.177183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:47:47.738941Z digest=sha256:26e12697e44431bc23819539ba0294113321b607e3564c68ad990d25d96c6053

Observation 83c166a9-dbd5-4ddd-bfe4-e2da9729e0ba · outbound

This paper cites Torchscript: A scripting language for pytorch models, 2019.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Torchscript: A scripting language for pytorch models, 2019

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:49.038851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9e05088a-f38e-45bd-9640-9a6e5b35cea6 · outbound

This paper cites Mseloss — pytorch 2.0 documenta- tion.https : / / pytorch.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Mseloss — pytorch 2.0 documenta- tion.https : / / pytorch

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:48.970750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f618bdea-dbe8-441a-a489-8004528bcd52 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting U-net: Convolutional networks for biomedical image segmentation

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 43052f21-791d-480e-b685-6cdaf905180a · outbound

This paper cites Neural illumination: Lighting prediction for indoor environments.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural illumination: Lighting prediction for indoor environments

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:48.816562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4a945e46-53a2-4861-9e9a-f960d5f70c47 · outbound

This paper cites Version 2024.1.0, available athttps://unity.com/.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Version 2024.1.0, available athttps://unity.com/

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a7b0dad0-ed40-459a-a506-c510dbc5c668 · outbound

This paper cites https : / / docs.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting https : / / docs

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:47:48.102891Z digest=sha256:a56e523e5cd000447d0885948171ef14207a25a8289d5956288895b05178145a

Observation 9e743014-505a-49be-9e3c-987956054b17 · outbound

This paper cites Unity asset store.https : / / assetstore.unity.com, n.d.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unity asset store.https : / / assetstore.unity.com, n.d

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:48.570589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a74816d9-dc61-4faf-abcb-b8b375e6b3e8 · outbound

This paper cites Motion sickness in virtual reality, 2023.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Motion sickness in virtual reality, 2023

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:48.502660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 806e84b1-a199-4d6e-800e-f5056b04ecd9 · outbound

This paper cites Neural supersampling for real-time rendering.ACM Trans.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Neural supersampling for real-time rendering.ACM Trans

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T04:47:48.435621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T04:47:48.234340Z digest=sha256:81f34d0d5049b3e168f35574b8f82b9bc414b5aef794ac40710687f6fed508eb

Observation 71bd42a1-24d2-46db-9548-f7745f19c036 · outbound

This paper cites an unresolved cited work.

Neural Bloom: A Deep Learning Approach to Real-Time Lighting Unresolved cited work

Reference 2016

Resolution
unresolved
raw_fallback, observed 2026-08-05T04:47:49.104886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.