Paper Citation Record · LEDGER

Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.06322.

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

pith.paper-citation-record.v1
2311.06322 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:32:44.321142Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:42:07.296266Z

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 e1f5f6db-1891-4924-a52c-9445928066df · inbound

Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion cites this paper.

Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T19:30:02.806224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56ec7ba-1412-4f73-b5d4-9ed0564e8722 · inbound

VQ4ALL: Efficient Neural Network Representation via a Universal Codebook cites this paper.

VQ4ALL: Efficient Neural Network Representation via a Universal Codebook Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T19:32:44.321142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d886baea-5a72-4d4f-8f9a-94720fcdf84b · 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 Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:42:07.303370Z

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 27a51122-f7bb-4bc0-a664-193e3ae8ded6 · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts Post-training Quantization for Text-to-Image Diffusion Models with Progressive Calibration and Activation Relaxing

Reference 255

Resolution: unresolved; no resolver link, observed 2026-08-01T16:42:32.350305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.