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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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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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source=pdf_text observed=2026-08-10T20:34:22.445317Z digest=sha256:426597621d20742693eea364b2fe135e52667acec9dd955ca0e374ce84536159

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:f6c42b47be746ce747d205533bf08d92a07c4747d64ea8c147eb2812eecfb2a5

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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verified fuzzy
raw_fallback, observed 2026-08-10T20:34:22.738237Z

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=sha256:2ab1e9952794acd909ef599b8a53b2decd5990800c9a7815077c611734b7d1cc

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=sha256:173d04bbdf1eca4f6b153cce7d6ce0ac0c24588f51c212d54f669f6f25d186cd

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=sha256:772064e2197abafe5ff33a98f633bd580822aa3f1fc0593c7f7672ae66d392f7

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:df40369e28b9dadfdde6a29a81fab592e1f8ffe0fd59bc9463dde41b2193c40e

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=sha256:1a1acd2d0a49e58eee74c7d630e8929bfa3ce9d7532dd37a34a1a397760e4f16

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=sha256:1b5a1e5235e6cd6c08757eec62b5eea1bf4fcac14e1a36b53b7874a9e390732f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:34:22.725943Z

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=sha256:9d130fb6a9651ddd0f9577a617c4e66f45c178778627bf583bd0d855137a2730

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:fc6cc221874c2b50f48e4748fd07bd497bfb1322aeb0a789244e331f66a3ceba

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=sha256:28a4813895d94b0dd46a3f7234f25d1d1bc2fbfebc33f44778b1c9c62085c9fa

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:d0293d9928c4a5181128235db1babf65f05e852d24ff7fa95e1dfbb4ec8b132a

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=sha256:705b580d6ec1df61a44e263baa1f1cf557529c4c1316ae2ce87003a9adfa9d9e

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:c298fd2859fe3570fb60d546647f3d86266bc892fdd0a1d318d6dd28e1918acf

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=sha256:010016b39b35a6626c8c1c4845e6cadcb727612385fe0870e4ad7d0c6d45841b

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=sha256:5e5ebc9d929cfd4d30c89c859fb86b5713e7b34349463927fa896be796cd5402

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:f8f1d7280710415ffc88734251c0bcbe0f35d94e610a20c7d0d8bb65db5bdbba

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=sha256:88bd7d704196c62c4aec4ae9b244d098a83766b46916dacb62db5c52b8108b65

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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source=pdf_text observed=2026-08-10T20:34:22.436799Z digest=sha256:6cdc81b4b0e18ecec8d8952c447b0cfed3eb9a641db31d252fb6dbc69d128bcc

Pith citing papers

No inbound Pith citation observations are available.