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Paper Citation Record · LEDGER

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models

As of 11 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2501.08180.

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

pith.paper-citation-record.v1
2501.08180 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:22.510102Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

19 of 19 outbound references displayed

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  • verified fuzzy2
  • unresolved17
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfc4e646-050e-4276-bfd0-caefd066bfcf · outbound

This paper cites EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

Reference 4

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Observation 8863fb84-aa8c-4442-8886-8f8335a293db · outbound

This paper cites On Fast Sampling of Diffusion Probabilistic Models.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models On Fast Sampling of Diffusion Probabilistic Models

Reference 6

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source=pdf_text observed=2026-08-10T20:34:22.453961Z digest=sha256:0d57de9ab6614c46ca750bf9df019249dca6088646cc1f9449223b2896b2f889

Observation 009670b9-68da-41db-ae51-4adc74f44e65 · outbound

This paper cites bioRxiv, 2022–07.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models bioRxiv, 2022–07

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:34:22.458485Z digest=sha256:01ed8412dc211eb84c899ca6f2f1c71ca7af42ab3d9ae92eb83157a71dda2204

Observation edb90a5b-65a5-4da9-8e6a-89070aacac59 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 8

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source=pdf_text observed=2026-08-10T20:34:22.462470Z digest=sha256:02f73fe5c75717a5f4617193d38472c74dedaaf43068df2cf0e34245fcebc768

Observation 369157e2-d472-4a33-ae88-d202dad747d8 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 9

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source=pdf_text observed=2026-08-10T20:34:22.466420Z digest=sha256:5956ba84282c74b38ae53c306ef01f9baa7f0685de90e2f12143f185c07e7c05

Observation 8a627873-20c5-44a9-b7fd-15a6fe974038 · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 10

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source=pdf_text observed=2026-08-10T20:34:22.469989Z digest=sha256:bf0af2ac544ab07ceb658c65a24e6de4d028c7a237285faf127363d60f4889a4

Observation 7c568047-da76-4695-b5e3-eb199ddd0cba · outbound

This paper cites A White Paper on Neural Network Quantization.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models A White Paper on Neural Network Quantization

Reference 11

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source=pdf_text observed=2026-08-10T20:34:22.474471Z digest=sha256:81a33e0f622ce984a147dbac10e1c5dd058a78a71f7a93da287803c9592c29ce

Observation fae40b67-5033-41bb-b3f5-fdfd346ee41a · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 12

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source=pdf_text observed=2026-08-10T20:34:22.478604Z digest=sha256:871b1a5d5ad2d37fdc84cbd213de219660e5df43ed9e58089faa9948739cd6b3

Observation 49fab3b0-b6ba-451d-b9ec-f9c9cb0808df · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1972–1981.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1972–1981

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:34:22.483185Z digest=sha256:7ee78cc77979e2f3875e201de92c618f104f717fccd1a6a8062eb4960c8ce8c1

Observation 78c8ad39-5e28-4eeb-bdff-246ff2b912cd · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 14

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source=pdf_text observed=2026-08-10T20:34:22.488364Z digest=sha256:86fb954408374338559aa5fba5079d5c22145cbb515ec5d4b477cb78aa6a535d

Observation b904f35d-9cb2-485b-af68-151a4b5f2944 · outbound

This paper cites Consistency Models.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Consistency Models

Reference 15

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source=pdf_text observed=2026-08-10T20:34:22.492444Z digest=sha256:349bf1e1d9ed758c0754aef349b71b9dd19d11c463efa90fdca1c907910b3d08

Observation 782af067-6e06-41cc-8f3d-5374016899dc · outbound

This paper cites SinSR: Diffusion-Based Image Super-Resolution in a Single Step.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Reference 17

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source=pdf_text observed=2026-08-10T20:34:22.502129Z digest=sha256:10e8b5cd624f76e3323ede0fb212789b5d167d4cfad81eb28c6ab75aca98f3c1

Observation 065b220b-8c24-4286-ad48-6bbef804e4db · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 18

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source=pdf_text observed=2026-08-10T20:34:22.505915Z digest=sha256:895ec2f73d3dc049b46fdf9990c25362db4ea265c3ac7343046177aad8d8bd05

Observation a3bd9d07-851c-42a5-a02d-8effa912d449 · outbound

This paper cites Auto-Encoding Variational Bayes.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Auto-Encoding Variational Bayes

Reference 2013

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source=pdf_text observed=2026-08-10T20:34:22.449925Z digest=sha256:f2279adca418bbe317b164132ca342b47a1973bffeddc0537d42cac46a00c177

Observation f31085bc-6983-43be-9908-17ad5ff976e3 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 2015

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source=pdf_text observed=2026-08-10T20:34:22.510102Z digest=sha256:1ae76ead2ecbdd3b7620bb9bbdd4954aa6e5ac820993b01f3081758c4b7e6eb1

Observation 422e85aa-dc08-43bc-8ec6-4e6badadb0b1 · outbound

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

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2020

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source=pdf_text observed=2026-08-10T20:34:22.497024Z digest=sha256:4904e3a9e2027daa155c789a5b5e277735521a765753a9a5ac33cac22b728d68

Observation 42d5dba6-c0b7-4a4d-9d8d-6e84eebf3b9e · outbound

This paper cites Score-Based Generative Modeling with Critically-Damped Langevin Diffusion.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Reference 2021

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source=pdf_text observed=2026-08-10T20:34:22.440824Z digest=sha256:18f14fcce353d77b55b21cecd743dc5a1f937bfda51af98ce2b17b24ee5f9b41

Observation b5f32e2b-24b0-42b5-8ffd-e959b2c11d34 · outbound

This paper cites Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 2022

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source=pdf_text observed=2026-08-10T20:34:22.432069Z digest=sha256:23aa4af85a7fadefc4dd359872703fe46b354d609a6647220c96881ef5ee1979

Observation f552b731-c426-4de9-84ee-db2b87995a90 · outbound

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

D$^2$-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.