Paper Citation Record · LEDGER

Lossy Compression with Pretrained Diffusion Models

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2501.09815.

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

pith.paper-citation-record.v1
2501.09815 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:44:31.839572Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T02:50:28.619370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.775462Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy12
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a08dc145-dce8-44db-ac43-590f25dc6474 · outbound

This paper cites URL https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM.

Lossy Compression with Pretrained Diffusion Models URL https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.698938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 899a4275-2bf0-4782-8b5e-04f35260c835 · outbound

This paper cites Muckley, Jakob Verbeek, and St \'e phane Lathuili \`e re.

Lossy Compression with Pretrained Diffusion Models Muckley, Jakob Verbeek, and St \'e phane Lathuili \`e re

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.679821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 95ec8c45-9bf6-4691-8946-c1ea9c084f2f · outbound

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

Lossy Compression with Pretrained Diffusion Models Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 3

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Source-reported events for the cited work

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Observation 2efdb39c-b977-486f-a7b8-f6f1fb5a1521 · outbound

This paper cites PSC: Posterior Sampling-Based Compression.

Lossy Compression with Pretrained Diffusion Models PSC: Posterior Sampling-Based Compression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.620904Z

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Observation c5c4bb4d-93f8-4847-9e8a-a7383bdc5d22 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Lossy Compression with Pretrained Diffusion Models Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.627995Z

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Observation c950c160-351c-4718-b05d-8732c3df8b07 · outbound

This paper cites Factorized Diffusion: Perceptual Illusions by Noise Decomposition.

Lossy Compression with Pretrained Diffusion Models Factorized Diffusion: Perceptual Illusions by Noise Decomposition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.634055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e987ba1b-df7a-48f2-beca-f98c2adfd5f1 · outbound

This paper cites Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models.

Lossy Compression with Pretrained Diffusion Models Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.639879Z

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Observation 2f932e26-1fd2-4c49-b959-0c0dae8d4ab4 · outbound

This paper cites Elasticdiffusion: Training-free arbitrary size image generation through global-local content separation.

Lossy Compression with Pretrained Diffusion Models Elasticdiffusion: Training-free arbitrary size image generation through global-local content separation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.662887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25aa321f-1da4-4e73-9cfb-3e72cb491432 · outbound

This paper cites Minimal random code learning: Getting bits back from compressed model parameters.

Lossy Compression with Pretrained Diffusion Models Minimal random code learning: Getting bits back from compressed model parameters

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.646071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 32bfdc11-20f1-462d-904d-3feae0a59488 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Lossy Compression with Pretrained Diffusion Models CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.656404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4a90f3-e9f6-4cb4-bef5-8c729df0ba4e · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Lossy Compression with Pretrained Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.661616Z

Source-reported events for the cited work

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Observation be1373d3-8b81-4636-982a-55459a478f21 · outbound

This paper cites Denoising diffusion probabilistic models.

Lossy Compression with Pretrained Diffusion Models Denoising diffusion probabilistic models

Reference 12

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Source-reported events for the cited work

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Observation c45beb0b-260c-4dd9-9c2d-62d89c4e057d · outbound

This paper cites Generative latent coding for ultra-low bitrate image compression.

Lossy Compression with Pretrained Diffusion Models Generative latent coding for ultra-low bitrate image compression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.604359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a4822af-2a11-4e7f-a9f9-a6c5d71ef3bd · outbound

This paper cites Pipal: a large-scale image quality assessment dataset for perceptual image restoration.

Lossy Compression with Pretrained Diffusion Models Pipal: a large-scale image quality assessment dataset for perceptual image restoration

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.586727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8df0f4f9-3815-4216-a7c0-3716e39f5d1b · outbound

This paper cites Variational diffusion models.

Lossy Compression with Pretrained Diffusion Models Variational diffusion models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.692024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e44dcc-a6dc-4b4c-b04a-2a978b71d452 · outbound

This paper cites Text + Sketch: Image Compression at Ultra Low Rates.

Lossy Compression with Pretrained Diffusion Models Text + Sketch: Image Compression at Ultra Low Rates

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.697863Z

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Unavailable: canonical work link unavailable.

Observation 0c9aec8b-a7cc-442d-bb24-7753da6d495a · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Lossy Compression with Pretrained Diffusion Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.705445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62cda177-64d4-4585-b9a5-660898318c71 · outbound

This paper cites Towards extreme image compression with latent feature guidance and diffusion prior.

Lossy Compression with Pretrained Diffusion Models Towards extreme image compression with latent feature guidance and diffusion prior

Reference 18

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T19:44:32.186185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a557ec8a-274a-440e-b0f3-d932fa2b1683 · outbound

This paper cites Flow Matching for Generative Modeling.

Lossy Compression with Pretrained Diffusion Models Flow Matching for Generative Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.715696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f51f52-8de8-4660-9664-9aa89e981703 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Lossy Compression with Pretrained Diffusion Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.722898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5df5aa84-be11-4c9b-8a44-36d8abff2bce · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

Lossy Compression with Pretrained Diffusion Models Deepcache: Accelerating diffusion models for free

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.729770Z

Source-reported events for the cited work

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Observation b836aeed-3e70-48ab-9a00-e54ab575176d · outbound

This paper cites High-Fidelity Generative Image Compression.

Lossy Compression with Pretrained Diffusion Models High-Fidelity Generative Image Compression

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.737239Z

Source-reported events for the cited work

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Observation dc1c0ce0-d053-43c2-a12c-b98990a183e0 · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image compression.

Lossy Compression with Pretrained Diffusion Models Joint autoregressive and hierarchical priors for learned image compression

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.542357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aed6593f-b622-4266-b390-ca042c801242 · outbound

This paper cites Cache me if you can: Effects of dns time-to-live.

Lossy Compression with Pretrained Diffusion Models Cache me if you can: Effects of dns time-to-live

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.523110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a0c234dd-8b07-4bfc-b59e-d2601f7568e0 · outbound

This paper cites Improving statistical fidelity for neural image compression with implicit local likelihood models.

Lossy Compression with Pretrained Diffusion Models Improving statistical fidelity for neural image compression with implicit local likelihood models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.506076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0f7ddc3e-6b6c-4768-aab7-39fa91d730e8 · outbound

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

Lossy Compression with Pretrained Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 26

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Source-reported events for the cited work

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Observation c5ea973a-c818-4b42-b428-fe5012250191 · outbound

This paper cites Barron, and Ben Mildenhall.

Lossy Compression with Pretrained Diffusion Models Barron, and Ben Mildenhall

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.765356Z

Source-reported events for the cited work

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Observation 7ed8cd6c-c56e-48e1-9698-d4692e213f08 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Lossy Compression with Pretrained Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 28

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Observation c753b036-e60d-4c71-ab97-21f03c34157f · outbound

This paper cites Denoising Diffusion Implicit Models.

Lossy Compression with Pretrained Diffusion Models Denoising Diffusion Implicit Models

Reference 29

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Source-reported events for the cited work

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Observation c9d9de42-e4be-4ecc-9501-cb1e3a6b2a2f · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

Lossy Compression with Pretrained Diffusion Models Lossy Compression with Gaussian Diffusion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.781056Z

Source-reported events for the cited work

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Observation b6fe8674-bcea-4042-9494-e35baa4b1d21 · outbound

This paper cites Algorithms for the communication of samples.

Lossy Compression with Pretrained Diffusion Models Algorithms for the communication of samples

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.467364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7a63074-b11d-4234-b11d-83b93b57c40e · outbound

This paper cites Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery.

Lossy Compression with Pretrained Diffusion Models Hard prompts made easy: Gradient-based discrete optimization for prompt tuning and discovery

Reference 32

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Source-reported events for the cited work

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Observation 18c247dc-6d88-44e6-808f-65e647ef53c9 · outbound

This paper cites Stable diffusion --- Wikipedia , the free encyclopedia, 2024.

Lossy Compression with Pretrained Diffusion Models Stable diffusion --- Wikipedia , the free encyclopedia, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.439743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 45fd7e41-2f02-4260-a3a3-0255e23a81ad · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Lossy Compression with Pretrained Diffusion Models Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 34

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Source-reported events for the cited work

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Observation c4144186-1b5a-4035-bac7-da8ff8d77d66 · outbound

This paper cites Lossy image compression with conditional diffusion models.

Lossy Compression with Pretrained Diffusion Models Lossy image compression with conditional diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:32.421990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7cc0e76c-7ebf-4b21-bae2-f955aece019c · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Lossy Compression with Pretrained Diffusion Models Adding conditional control to text-to-image diffusion models, 2023

Reference 36

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Source-reported events for the cited work

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Observation 19da7b80-54c9-482e-8c52-930c32c2ed4b · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Lossy Compression with Pretrained Diffusion Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 37

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Observation 01a89d62-175a-4803-99c2-faa37fd73358 · outbound

This paper cites write newline.

Lossy Compression with Pretrained Diffusion Models write newline

Reference 38

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Observation 400d62f8-ba52-440c-b105-74604bdc5f00 · outbound

This paper cites @esa (Ref.

Lossy Compression with Pretrained Diffusion Models @esa (Ref

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.828337Z

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Observation d1d5c39c-3d7f-4f1c-a3f7-10df29cd98da · outbound

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Lossy Compression with Pretrained Diffusion Models Unresolved cited work

Reference 40

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Unavailable: canonical work link unavailable.

Observation 7bae86c8-dcd6-40d8-9053-b71310e499b7 · outbound

This paper cites an unresolved cited work.

Lossy Compression with Pretrained Diffusion Models Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:31.839572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7f85470a-b56b-4474-a118-dd812fab6b9c · inbound

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow cites this paper.

GVCC: Zero-Shot Video Compression via Codebook-Driven Stochastic Rectified Flow Lossy Compression with Pretrained Diffusion Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:33:16.083908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21381e10-1465-447c-a034-7ee091d7ea96 · inbound

Few-step Generative Models as Lossy Compression cites this paper.

Few-step Generative Models as Lossy Compression Lossy Compression with Pretrained Diffusion Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.777118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f21b0cc9-f41e-4b4f-b1cd-2590117892c1 · inbound

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes cites this paper.

Scalable Differentially Private Data Compression via Diffusion and Stochastic Codes Lossy Compression with Pretrained Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T02:50:28.619370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.