Paper Citation Record · LEDGER

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.17873.

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

pith.paper-citation-record.v1
2405.17873 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:16:26.318406Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:38:02.604390Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 a1c1490e-c7a0-4e41-a352-43014e1ae1d5 · inbound

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model cites this paper.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:26.318406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be355e0f-dbd9-43ba-b537-1d5b90172431 · inbound

1.58-bit FLUX cites this paper.

1.58-bit FLUX MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T04:39:36.771152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a33989e-afef-4c28-870d-21321738902e · inbound

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free cites this paper.

Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:58:48.229800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a57c016-2f90-4eb0-a481-e0c7cf9075f4 · inbound

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models cites this paper.

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:07.111364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cbc07f5-ae24-4ee1-9617-b467a2db9455 · inbound

RUQuant: Towards Refining Uniform Quantization for Large Language Models cites this paper.

RUQuant: Towards Refining Uniform Quantization for Large Language Models MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:38:02.607204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 494affbc-c4a3-4af7-b62c-4c81c0e38169 · inbound

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization cites this paper.

LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:36:01.609669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.