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Paper Citation Record · LEDGER

Diffusion Product Quantization

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.12306.

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

pith.paper-citation-record.v1
2411.12306 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:49:45.789759Z

measured 39 of 39 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 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

39 of 39 outbound references displayed

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  • verified fuzzy14
  • unresolved25
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b32a886-f268-407a-9216-161c3b301bda · outbound

This paper cites A Note on the Inception Score.

Diffusion Product Quantization A Note on the Inception Score

Reference 1

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Observation 5fd80bfc-e2be-4658-beab-ffd54a0d8da2 · outbound

This paper cites Language Models are Few-Shot Learners.

Diffusion Product Quantization Language Models are Few-Shot Learners

Reference 2

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Observation edabddd9-7ce7-481c-88c4-0ecf076ce7e6 · outbound

This paper cites Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers.

Diffusion Product Quantization Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Reference 3

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Observation 2d56e794-b4dc-466e-95a6-07be8897c5dd · outbound

This paper cites Diffusion models in vision: A survey.

Diffusion Product Quantization Diffusion models in vision: A survey

Reference 4

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Observation 41f3c4d6-168d-432a-ac0a-6411fca8a3cc · outbound

This paper cites VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers.

Diffusion Product Quantization VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

Reference 5

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Observation 4c6810cf-70df-4f83-84af-29e7e746c585 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Diffusion Product Quantization Diffusion models beat gans on image synthesis

Reference 6

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Observation 9a1a0b10-cbe1-420c-9dfb-9ec27ad47d35 · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

Diffusion Product Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 7

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Observation 1b1e46be-91c7-44ca-b8e5-af9f86dc66aa · outbound

This paper cites GPTQ: Accurate post-training quantization for gener- ative pre-trained transformers.

Diffusion Product Quantization GPTQ: Accurate post-training quantization for gener- ative pre-trained transformers

Reference 8

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Observation 448539b4-47bd-4ed0-a8fc-05307fda2c90 · outbound

This paper cites Opti- mized product quantization for approximate nearest neigh- bor search.

Diffusion Product Quantization Opti- mized product quantization for approximate nearest neigh- bor search

Reference 9

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Observation da99cbc4-2f93-4d4a-a488-285b5d94cbb6 · outbound

This paper cites an unresolved cited work.

Diffusion Product Quantization Unresolved cited work

Reference 10

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Observation cb395b14-ebd3-4dbd-b1ec-31e23d85e131 · outbound

This paper cites Generative adversarial nets.

Diffusion Product Quantization Generative adversarial nets

Reference 11

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Observation 8a7c8b00-8298-4d07-8362-523d67f84b22 · outbound

This paper cites Deep residual learning for image recognition.

Diffusion Product Quantization Deep residual learning for image recognition

Reference 12

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Observation 72404646-d600-4ec2-801d-788d2be42296 · outbound

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

Diffusion Product Quantization Ptqd: Accurate post-training quantization for diffusion models

Reference 13

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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.

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Observation 829ef7d6-d8e3-4464-acf0-008fef204d32 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Diffusion Product Quantization Denoising dif- fusion probabilistic models

Reference 14

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Observation 5e343748-088b-460f-9aab-b4ee5c606638 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

Diffusion Product Quantization Cascaded diffu- sion models for high fidelity image generation

Reference 15

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Observation 884e8f5b-280a-48e0-9622-e5d211f9fcd1 · outbound

This paper cites Estimation of non- normalized statistical models by score matching.

Diffusion Product Quantization Estimation of non- normalized statistical models by score matching

Reference 16

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Observation f0ffc860-3fbb-4667-9ea8-a4b9f14cb9d4 · outbound

This paper cites Prod- uct quantization for nearest neighbor search.

Diffusion Product Quantization Prod- uct quantization for nearest neighbor search

Reference 17

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

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Observation 11c9c129-648e-4e6f-a3ac-06467452a36f · outbound

This paper cites Large memory layers with product keys.

Diffusion Product Quantization Large memory layers with product keys

Reference 18

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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.

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Observation 63026efd-7916-436e-ab41-85b6b3356e7d · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

Diffusion Product Quantization Q-diffusion: Quantizing diffusion models

Reference 19

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

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Observation 44f19be8-88e9-427d-b9ed-869a526a7fdc · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

Diffusion Product Quantization Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 20

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Observation 0aa432b3-064d-4a9a-9aba-c150cc95a0d9 · outbound

This paper cites Permute, quantize, and fine-tune: Efficient compression of neural networks.

Diffusion Product Quantization Permute, quantize, and fine-tune: Efficient compression of neural networks

Reference 21

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Source-reported events for the cited work

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Observation a3dd0aa2-fa59-45ea-bf38-6cd82ff141fa · outbound

This paper cites Dit-3d: Exploring plain diffusion transformers for 3d shape generation.

Diffusion Product Quantization Dit-3d: Exploring plain diffusion transformers for 3d shape generation

Reference 22

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Observation d19b0cb9-ded1-48d0-93ac-c7785436c8dc · outbound

This paper cites GLIDE: towards photorealis- tic image generation and editing with text-guided diffusion models.

Diffusion Product Quantization GLIDE: towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation fca591a9-f03a-4a92-96c8-45819bbb7eef · outbound

This paper cites Cartesian k-means.

Diffusion Product Quantization Cartesian k-means

Reference 24

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

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Observation 73c2572a-2057-44be-9e7b-a188ef2854df · outbound

This paper cites Scalable diffusion models with transformers.

Diffusion Product Quantization Scalable diffusion models with transformers

Reference 25

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Observation 0c78eabc-4945-4117-b7a4-a09569f171fe · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Diffusion Product Quantization Learning transferable visual models from natural language supervi- sion

Reference 26

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Observation bdbb1037-f69b-467e-83b7-09986b9d1150 · outbound

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

Diffusion Product Quantization Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 27

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Observation 6dc1cf58-1086-43b6-bbf1-632420c5a663 · outbound

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

Diffusion Product Quantization High-resolution image synthesis with latent diffusion models

Reference 28

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Observation 0cf7297c-2103-4194-b50f-97e5355ef05a · outbound

This paper cites Efficient content-based sparse attention with rout- ing transformers.

Diffusion Product Quantization Efficient content-based sparse attention with rout- ing transformers

Reference 29

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Observation 1747705c-c030-44b6-a9d1-03ba26a980a9 · outbound

This paper cites Improved techniques for training gans.

Diffusion Product Quantization Improved techniques for training gans

Reference 30

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Observation 9cc0576f-191f-4ecc-9ac5-07ee8beb244a · outbound

This paper cites Post-training quantization on diffusion models.

Diffusion Product Quantization Post-training quantization on diffusion models

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 82ca985b-0b0e-42b7-a2e1-0ac91e491c73 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Diffusion Product Quantization Deep unsupervised learning using nonequilibrium thermodynamics

Reference 32

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Observation e7e5fb57-1bcd-48db-8109-6d9254a8416f · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Product Quantization Denoising Diffusion Implicit Models

Reference 33

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Observation 0b0c6ae3-c51a-4053-8ad2-69d4d62b3cc9 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.

Diffusion Product Quantization Generative modeling by esti- mating gradients of the data distribution

Reference 34

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Observation 7bcccae1-bb92-4570-b606-fe2e550d40cc · outbound

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

Diffusion Product Quantization Score-Based Generative Modeling through Stochastic Differential Equations

Reference 35

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Observation fea70554-b300-4bf2-9458-ac7c02c1f6da · outbound

This paper cites And the bit goes down: Revis- iting the quantization of neural networks.

Diffusion Product Quantization And the bit goes down: Revis- iting the quantization of neural networks

Reference 36

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

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Observation f6311aaf-0b51-436d-9fa9-18924762d0fc · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

Diffusion Product Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 37

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Observation d74173bc-0759-4a89-9613-dd263127b561 · outbound

This paper cites GPTVQ: The Blessing of Dimensionality for LLM Quantization.

Diffusion Product Quantization GPTVQ: The Blessing of Dimensionality for LLM Quantization

Reference 38

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Observation eae230a1-dbf9-43ba-899e-c54704651aa5 · outbound

This paper cites Open-sora: Democratizing efficient video production for all, 2024.

Diffusion Product Quantization Open-sora: Democratizing efficient video production for all, 2024

Reference 39

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no resolver link, observed 2026-08-12T17:49:45.789759Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T17:49:45.789759Z digest=sha256:13c605fa4960df1c61d0d0c4b977b7eb1752f43286e91b518c8105e12784a822

Pith citing papers

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