Paper Citation Record · LEDGER

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2406.02540.

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

pith.paper-citation-record.v1
2406.02540 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:35:10.690473Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.686449Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d54927b3-bdd1-42a5-85cc-fb8b08cd906d · inbound

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity cites this paper.

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T14:35:10.690473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cdbc0f6-9940-4f43-a386-28a5475f1d57 · inbound

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices cites this paper.

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-09T10:46:29.620727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4d10d1-c9d0-4362-90da-73bc24428fa1 · inbound

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers cites this paper.

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:19.011966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd2ab87b-5330-4308-abda-84b02de2c8f3 · inbound

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention cites this paper.

MARch\'e: Fast Masked Autoregressive Image Generation with Cache-Aware Attention ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:37.905137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f811c1c-0535-4d6c-b3a0-cc77be75548a · inbound

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization cites this paper.

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T16:42:12.258915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083f34a2-4834-46da-a7f6-9f66c3f7baf2 · inbound

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models cites this paper.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.351476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab7851ae-b2f6-4b56-ac74-96023ac04286 · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 193

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:26.328251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b211255-acf3-4967-8994-f328a5240e57 · inbound

Motion-Aware Caching for Efficient Autoregressive Video Generation cites this paper.

Motion-Aware Caching for Efficient Autoregressive Video Generation ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:01.539723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d2b3cef-452a-46a7-9186-d894336ea830 · inbound

Motion-Aware Caching for Efficient Autoregressive Video Generation cites this paper.

Motion-Aware Caching for Efficient Autoregressive Video Generation ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:19:49.890022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31882355-daf9-4383-8a9c-8c0d513798a1 · inbound

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention cites this paper.

HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:19:46.183911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df078fb6-68b1-40aa-86e2-41cee3039018 · inbound

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation cites this paper.

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.266687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96f09d5e-e1d2-4e3b-8587-c23290eb137b · inbound

{\Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step Scaling cites this paper.

{\Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step Scaling ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:53:26.935072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f97d15b-11b9-4c82-b1bd-decfcbb7e4b7 · inbound

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE cites this paper.

ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCE ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.444999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4605c809-6c3f-4935-943c-81e7efd6604d · 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 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:17:58.044690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ac6aa09c-3e61-43e6-a0df-5c65c2dffeb4 · inbound

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model cites this paper.

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.688078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d3563f6-4eb3-42d6-b32e-7be970599bcd · inbound

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers cites this paper.

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:58:32.406533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f8c294e-a217-4a56-b40c-cf85130b621e · inbound

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation cites this paper.

Awakening Diffusion Transformers: Eliciting Stronger Generation and Understanding via Massive Activation Modulation ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T05:46:45.293902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835b87c2-9afa-4848-9d6f-6b4343c1cd6a · inbound

HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion cites this paper.

HyperVAttention: Efficient Sparse Attention with Spatio-Temporal Clustering for Video Diffusion ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-12T05:28:53.474483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b887995-54ba-4010-a5ba-56ef220f3120 · inbound

QuantWAMs: Calibrating at the Right Granularity for World Action Models cites this paper.

QuantWAMs: Calibrating at the Right Granularity for World Action Models ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.533730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe47b78e-a71b-47ca-8cdf-9d07e44ac4e9 · inbound

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models cites this paper.

TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T01:04:45.889554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.