Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.04333.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:13:35.130849Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:42:12.429997Z
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 9b02fa66-0221-4eb5-bc64-4f50c589a2fd · inbound
Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion cites this paper.
Efficiency Meets Fidelity: A Novel Quantization Framework for Stable Diffusion BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:30:02.802245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba661901-d58d-464e-a83f-cfc718007938 · inbound
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:56:01.785494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8decfb5-957f-47cf-884b-6a433de5851c · inbound
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation cites this paper.
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T06:04:29.508866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e7a8cb3-1789-409c-8828-a815010e5aef · inbound
1.58-bit FLUX cites this paper.
1.58-bit FLUX BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:39:36.695601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3054a986-b066-4e6f-b44b-55a5663dd7ed · 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 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:42:07.081008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5cd24b6-7809-4db0-bf69-999437f884af · inbound
Diffusion Model Quantization: A Review cites this paper.
Diffusion Model Quantization: A Review BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:13:35.130849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3224040-2f51-491f-81fe-08ce397aa71b · inbound
WhisperKit: On-device Real-time ASR with Billion-Scale Transformers cites this paper.
WhisperKit: On-device Real-time ASR with Billion-Scale Transformers BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:29:00.984084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b0130e-8d22-4ab1-9034-18c87798f186 · inbound
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization cites this paper.
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:42:12.437005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2e5426b1-5cff-41e5-ad2d-feef7dcf190b · 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 BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:28:53.474483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.