Paper Citation Record · LEDGER

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.26237.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.26237 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:27:53.992183Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation acc11504-9323-4f4f-9db5-3971050d7cf0 · outbound

This paper cites Wasserstein generative adversarial networks.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Wasserstein generative adversarial networks

Reference 1

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Observation eef4273a-71aa-4009-8ffe-cde0dcf57454 · outbound

This paper cites Pu21: A novel perceptually uniform encoding for adapting existing quality metrics for hdr.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Pu21: A novel perceptually uniform encoding for adapting existing quality metrics for hdr

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.569167Z

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Observation b5790adc-6a2d-4271-8f14-3f46b7605dad · outbound

This paper cites Universal guidance for diffusion models.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Universal guidance for diffusion models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.630610Z

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Observation f6015d18-d6d1-41a7-a5e1-de9e8bfe1dbb · outbound

This paper cites Bracket diffusion: Hdr image generation by consistent ldr denoising.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Bracket diffusion: Hdr image generation by consistent ldr denoising

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.748433Z

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Observation 87643ba4-6a8f-46a8-afe9-ac7359979aae · outbound

This paper cites FLUX.1: Text-to-image generation models.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models FLUX.1: Text-to-image generation models

Reference 5

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Observation 9171fa91-114e-4baf-a206-70594af5493f · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Align your latents: High-resolution video synthesis with latent diffusion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.852427Z

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Observation 154fd635-0ae8-46ff-95aa-5b3d37b055af · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.935350Z

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Observation 74df09d0-a05f-4545-8f0b-4562736f4528 · outbound

This paper cites Diffusion models beat gans on image synthesis.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Diffusion models beat gans on image synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:50.995789Z

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Observation f5863c96-8183-4e41-8cc1-d34250e302ac · outbound

This paper cites Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614, 2011

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.025321Z

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Observation 88103645-678c-4e93-b9a6-4eff8cc33577 · outbound

This paper cites Hdr image reconstruction from a single exposure using deep cnns.ACM transactions on graphics (TOG), 36(6):1–15, 2017.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Hdr image reconstruction from a single exposure using deep cnns.ACM transactions on graphics (TOG), 36(6):1–15, 2017

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.110773Z

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Observation 71e40851-225d-4329-83e2-6c1e790f814f · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.228606Z

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Observation ea1e325e-d698-4bae-ba93-2dd72e88fd4a · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.289301Z

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Observation db0a23ab-bd46-4065-8ee2-77c49b6238ee · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.348430Z

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Observation c76ce7c4-e25a-458f-a679-5a585de2ed0f · outbound

This paper cites Classifier-Free Diffusion Guidance.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Classifier-Free Diffusion Guidance

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.400255Z

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Observation a299bc00-7b73-4e09-ba72-a96ef5c01bcf · outbound

This paper cites Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Video diffusion models.Advances in neural information processing systems, 35:8633–8646, 2022

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.488901Z

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Observation 3cfffab1-2e26-4518-80ef-b4b0b27ee746 · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.582436Z

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Observation 840d4a59-5690-46f4-909c-cb2f1dac9e37 · outbound

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LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.643810Z

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Observation b2fdc4e4-7bc9-4a12-a5e5-8c9b96906390 · outbound

This paper cites Analyzing and improving the image quality of stylegan.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Analyzing and improving the image quality of stylegan

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.727840Z

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Observation 0c6e1c56-ea1a-4d92-99fc-0f34ebec0cf1 · outbound

This paper cites Noise2Score: Tweedie’s approach to self-supervised image denoising without clean images.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Noise2Score: Tweedie’s approach to self-supervised image denoising without clean images

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.786443Z

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Observation 8054c698-417e-4f1f-90c5-f940fd29c0e0 · outbound

This paper cites Learning blind video temporal consistency.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Learning blind video temporal consistency

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.860100Z

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Observation 2bf6379f-b77e-47b1-be36-7dab8f5152d7 · outbound

This paper cites Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions.ACM Transactions on graphics (TOG), 30(4):1–14, 2011.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions.ACM Transactions on graphics (TOG), 30(4):1–14, 2011

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:51.934024Z

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Observation a428ef8c-8da9-4209-af32-95464917987d · outbound

This paper cites Deep hdr hallucination for inverse tone mapping.Sensors, 21(12):4032, 2021.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Deep hdr hallucination for inverse tone mapping.Sensors, 21(12):4032, 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.014928Z

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Observation 236ac184-361e-47f3-8207-3ae11cc4bd4c · outbound

This paper cites Ex- pandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Ex- pandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.095373Z

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Observation b2511b01-35d7-44da-af80-71ebab10b262 · outbound

This paper cites Energy-based cross attention for bayesian context update in text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:76382–76408, 2023.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Energy-based cross attention for bayesian context update in text-to-image diffusion models.Advances in Neural Information Processing Systems, 36:76382–76408, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.170479Z

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Observation aad43901-c905-46a5-b1c2-00eae8916cd0 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.252409Z

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Observation 964c8d2a-e6f5-410e-ae4c-02fb46cb0d7a · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.311289Z

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Observation 798cd290-6d4f-42ce-87a7-fd21f636c54a · outbound

This paper cites Zero-shot text-to-image generation.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Zero-shot text-to-image generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.370265Z

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Observation 2a7ffdd8-009a-4bba-b1fb-a617498cc6f5 · outbound

This paper cites Morgan Kaufmann, 2010.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Morgan Kaufmann, 2010

Reference 28

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Observation ad7964a4-c014-4958-851c-7eb121d664f5 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models High- resolution image synthesis with latent diffusion models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.512851Z

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Observation 41b3c803-01a4-4f84-b95d-a4451091d6d5 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.571391Z

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Observation e0c28ee5-60a0-46ef-805f-f603193f03b4 · outbound

This paper cites Bovik, Neil Birkbeck, Yilin Wang, and Balu Adsumilli.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Bovik, Neil Birkbeck, Yilin Wang, and Balu Adsumilli

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.630344Z

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Observation 1d2e3ac9-8eba-4e3f-b9e7-2526c1c2183a · outbound

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LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Unresolved cited work

Reference 32

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Observation 33b54693-ef45-4f37-8a9b-8c978cbc0375 · outbound

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LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Unresolved cited work

Reference 33

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Observation b0ab0278-5b39-46f8-a7e4-ecf717f42d7b · outbound

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LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.865551Z

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Observation 229f1028-bdd7-4955-b677-acdfd9bc12da · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.924475Z

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Observation 0f19cf83-2611-485b-ba6d-44efc5efe732 · outbound

This paper cites Qwen2.5 Technical Report.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Qwen2.5 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:52.994147Z

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Observation 0c6680e0-c787-4fa5-9bde-ae0c5c73c454 · outbound

This paper cites Lediff: Latent exposure diffusion for hdr generation.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Lediff: Latent exposure diffusion for hdr generation

Reference 37

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Observation f7f06b19-b126-4fa0-b4a9-36a110221e26 · outbound

This paper cites X2hdr: Hdr image generation in a perceptually uniform space.arXiv preprint arXiv:2602.04814, 2026.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models X2hdr: Hdr image generation in a perceptually uniform space.arXiv preprint arXiv:2602.04814, 2026

Reference 38

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This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:53.572856Z

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Observation 318148f6-1c3e-4a83-8a82-63b959e378b9 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:53.751308Z

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Observation 780adccb-e35b-4f6d-a256-643513718c0c · outbound

This paper cites Freedom: Training- free energy-guided conditional diffusion model.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Freedom: Training- free energy-guided conditional diffusion model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:53.863211Z

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Observation c65a318c-1cf3-443e-bae9-ef7aa3993fdd · outbound

This paper cites DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:53.935269Z

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Observation 092fd1a8-b08a-40af-92c5-81b807c4be33 · outbound

This paper cites Q-eval-100k: Evaluating visual quality and alignment level for text-to-vision content.

LumaGuide: Distribution Shaping for Training-Free HDR Generation in Diffusion Models Q-eval-100k: Evaluating visual quality and alignment level for text-to-vision content

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T00:27:53.992183Z

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