Paper Citation Record · LEDGER

PQD: Post-training Quantization for Efficient Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 2 inbound Pith citation observations for arXiv:2501.00124.

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

pith.paper-citation-record.v1
2501.00124 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:03:06.496211Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:05:40.235610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:58.018415Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy8
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 76702077-14dc-4ef1-a336-f0db6756eb07 · outbound

This paper cites write newline.

PQD: Post-training Quantization for Efficient Diffusion Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.211549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad7905d-dc21-40d4-a0df-b143cfd57805 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.219074Z

Source-reported events for the cited work

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Observation 3bcb503f-b8e6-4fcc-86c5-6d4038580b21 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.227951Z

Source-reported events for the cited work

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Observation 59a458b5-b5ee-4dcb-b814-680fc644dfc9 · outbound

This paper cites WaveGrad: Estimating Gradients for Waveform Generation.

PQD: Post-training Quantization for Efficient Diffusion Models WaveGrad: Estimating Gradients for Waveform Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.233808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c9fc3c-689d-4b87-a284-8edfba661aa0 · outbound

This paper cites Adeq: Adaptive diversity enhancement for zero-shot quantization.

PQD: Post-training Quantization for Efficient Diffusion Models Adeq: Adaptive diversity enhancement for zero-shot quantization

Reference 5

Resolution: verified exact; doi, observed 2026-08-10T23:03:06.555086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8882f3d3-ebac-4235-b204-09ad19b787f5 · outbound

This paper cites Soft Diffusion: Score Matching for General Corruptions.

PQD: Post-training Quantization for Efficient Diffusion Models Soft Diffusion: Score Matching for General Corruptions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.245607Z

Source-reported events for the cited work

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Observation 62c7d544-4bd4-4e59-a3ef-aea8a3074b5f · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

PQD: Post-training Quantization for Efficient Diffusion Models Imagenet: A large-scale hierarchical image database

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.251872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33d0f346-22b9-4b9a-9bfb-7bd606bf6d64 · outbound

This paper cites Differentiable soft quantization: Bridging full-precision and low-bit neural networks.

PQD: Post-training Quantization for Efficient Diffusion Models Differentiable soft quantization: Bridging full-precision and low-bit neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.710306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d09d54ba-f204-489a-9ac9-33c37dff8d98 · outbound

This paper cites Generative adversarial networks.

PQD: Post-training Quantization for Efficient Diffusion Models Generative adversarial networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.264536Z

Source-reported events for the cited work

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Observation 6cdd92ac-b997-4bff-a57e-60fcade0657c · outbound

This paper cites A Generative Map for Image-based Camera Localization.

PQD: Post-training Quantization for Efficient Diffusion Models A Generative Map for Image-based Camera Localization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:03:06.964008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e9589d7-2b3d-4a8b-b55f-dc32e22e04a0 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models.

PQD: Post-training Quantization for Efficient Diffusion Models Ptqd: Accurate post-training quantization for diffusion models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.279963Z

Source-reported events for the cited work

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Observation c1372d98-8395-43e1-8e1b-c67773493d50 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.291031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7618070-66b9-4575-84ee-77dea9a35276 · outbound

This paper cites Denoising diffusion probabilistic models.

PQD: Post-training Quantization for Efficient Diffusion Models Denoising diffusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.298766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 261e616d-f694-47ea-bbf6-5333dbde30d4 · outbound

This paper cites Blurring Diffusion Models.

PQD: Post-training Quantization for Efficient Diffusion Models Blurring Diffusion Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.304911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b9dfe6-6fed-4aeb-bd28-8197a3f7e1d3 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

PQD: Post-training Quantization for Efficient Diffusion Models Elucidating the design space of diffusion-based generative models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.310916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c389d013-e117-4479-8b18-f9615d13d04d · outbound

This paper cites Auto-Encoding Variational Bayes.

PQD: Post-training Quantization for Efficient Diffusion Models Auto-Encoding Variational Bayes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.317733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fab871ca-47ff-4e48-85dc-cbbba8e03ef2 · outbound

This paper cites On Fast Sampling of Diffusion Probabilistic Models.

PQD: Post-training Quantization for Efficient Diffusion Models On Fast Sampling of Diffusion Probabilistic Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.325316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a565f10-307a-40ce-a914-be03f4ea4390 · outbound

This paper cites Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models.

PQD: Post-training Quantization for Efficient Diffusion Models Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.330734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67fa82a4-29de-4e57-8465-f948acc0fad1 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.337501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34322085-d298-49a8-9777-30765d2bb398 · outbound

This paper cites Patch similarity aware data-free quantization for vision transformers.

PQD: Post-training Quantization for Efficient Diffusion Models Patch similarity aware data-free quantization for vision transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.617460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7c8a770-28f0-4455-8c60-fe11408dbcb8 · outbound

This paper cites Microsoft coco: Common objects in context.

PQD: Post-training Quantization for Efficient Diffusion Models Microsoft coco: Common objects in context

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.349207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936b6e0f-78e1-4fc1-8c2c-67c37bc283f1 · outbound

This paper cites Relaxed Quantization for Discretized Neural Networks.

PQD: Post-training Quantization for Efficient Diffusion Models Relaxed Quantization for Discretized Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.354749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb1b776-f0b5-447b-9931-2f056f33df06 · outbound

This paper cites Accelerating Diffusion Models via Early Stop of the Diffusion Process.

PQD: Post-training Quantization for Efficient Diffusion Models Accelerating Diffusion Models via Early Stop of the Diffusion Process

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.361061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e6675b3-7152-469b-9333-69c5b11f3394 · outbound

This paper cites Data-free quantization through weight equalization and bias correction.

PQD: Post-training Quantization for Efficient Diffusion Models Data-free quantization through weight equalization and bias correction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.574846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72ed2031-b802-4877-9040-8062e9a0062e · outbound

This paper cites Improved denoising diffusion probabilistic models.

PQD: Post-training Quantization for Efficient Diffusion Models Improved denoising diffusion probabilistic models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.375193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16362c29-21fa-473b-8560-e46e794140a9 · outbound

This paper cites Permutation invariant graph generation via score-based generative modeling.

PQD: Post-training Quantization for Efficient Diffusion Models Permutation invariant graph generation via score-based generative modeling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.540341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88ca6054-0930-4ee4-95e0-9023acbf395e · outbound

This paper cites DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.

PQD: Post-training Quantization for Efficient Diffusion Models DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.386971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a879c17c-6230-4dc1-bc71-af97cf81689c · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

PQD: Post-training Quantization for Efficient Diffusion Models High-resolution image synthesis with latent diffusion models, 2021

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.393354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d52a4c2-45d9-46da-babd-d11ea5584898 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models U-net: Convolutional networks for biomedical image segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.402114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3658f1ee-7807-4a48-9e2a-d3439773cce6 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.407548Z

Source-reported events for the cited work

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Observation 56db10e4-9a5c-4fb2-8813-ac1145482df3 · outbound

This paper cites Improved techniques for training gans.

PQD: Post-training Quantization for Efficient Diffusion Models Improved techniques for training gans

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.412690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc1bca4-d9bb-48ee-af5a-3808e9c3b91d · outbound

This paper cites UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models.

PQD: Post-training Quantization for Efficient Diffusion Models UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.418344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f8b1061-62e5-44b3-9a0c-f4f54be3f865 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

PQD: Post-training Quantization for Efficient Diffusion Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.424402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cea081f-f993-400c-9bc8-b13bb812c957 · outbound

This paper cites Post-training Quantization on Diffusion Models.

PQD: Post-training Quantization for Efficient Diffusion Models Post-training Quantization on Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.433182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80459de-398c-4051-8d8e-785a887b969f · outbound

This paper cites Denoising Diffusion Implicit Models.

PQD: Post-training Quantization for Efficient Diffusion Models Denoising Diffusion Implicit Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.443537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2022b4-9f17-4047-82c9-73289d722149 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

PQD: Post-training Quantization for Efficient Diffusion Models Generative modeling by estimating gradients of the data distribution

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.464268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1763764b-c8dc-4c29-8da8-d07e4cfdbafd · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

PQD: Post-training Quantization for Efficient Diffusion Models Generative modeling by estimating gradients of the data distribution

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.428102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10e56d37-4294-4626-b6f0-e462e048a5ef · outbound

This paper cites Consistency Models.

PQD: Post-training Quantization for Efficient Diffusion Models Consistency Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.461084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a93a0a1-dd25-43ff-bd90-6fbcc022ccb2 · outbound

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

PQD: Post-training Quantization for Efficient Diffusion Models QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.466944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d30f640-7101-4a1e-a79a-9954c40ebd0f · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

PQD: Post-training Quantization for Efficient Diffusion Models Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.473357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425849e6-1746-4fa4-9a23-fd93932061e6 · outbound

This paper cites Geodiff: A geometric diffusion model for molecular conformation generation.

PQD: Post-training Quantization for Efficient Diffusion Models Geodiff: A geometric diffusion model for molecular conformation generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T23:03:06.484748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a7a6ec-7146-41e6-b4d2-be875ea8e028 · outbound

This paper cites Destseg: Segmentation guided denoising student-teacher for anomaly detection.

PQD: Post-training Quantization for Efficient Diffusion Models Destseg: Segmentation guided denoising student-teacher for anomaly detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.390147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0444033e-30c9-40a5-ae54-fad4f5bac685 · outbound

This paper cites Towards effective low-bitwidth convolutional neural networks.

PQD: Post-training Quantization for Efficient Diffusion Models Towards effective low-bitwidth convolutional neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:03:07.364217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation d471d400-f3a2-4fac-afc1-9f6f531fb584 · inbound

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation PQD: Post-training Quantization for Efficient Diffusion Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:49.780852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5039d548-2fba-4fa7-8cda-db7ce717ded6 · inbound

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs cites this paper.

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs PQD: Post-training Quantization for Efficient Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:17:58.020191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.