Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PTQD: Accurate Post-Training Quantization for Diffusion Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.10657.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T01:04:45.740471Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:17:58.028502Z
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 9c78b94d-0259-4719-8dc9-e21634321c64 · inbound
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices cites this paper.
ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:44:06.969085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60ad4437-0c07-40e9-9090-5c3a281053dd · inbound
DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration cites this paper.
DiTReducio: A Training-Free Acceleration for DiT-Based TTS via Progressive Calibration PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:11:59.515491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44511747-15b7-47f0-b8e8-cebfb5981830 · inbound
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling cites this paper.
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:21:08.461744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dc307b1-cc43-4d5b-8300-5df0da0fa5c5 · inbound
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner cites this paper.
OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:02.101361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3ba97499-6cd2-48b3-922a-bb25b555c152 · inbound
TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload cites this paper.
TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:13:03.701766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6042bcc-01ff-4fc9-a603-dcc6c5036c85 · inbound
Q-ARVD: Quantizing Autoregressive Video Diffusion Models cites this paper.
Q-ARVD: Quantizing Autoregressive Video Diffusion Models PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T05:29:39.448589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fe3e0cad-3cf9-42b2-b1e0-9dfd66e189ba · inbound
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation cites this paper.
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:00:22.567733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79f5eb79-e22d-4ec8-8204-f529678188a5 · 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 PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:17:58.030081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ac9b83b-64cb-40bc-893c-200112f04bcc · inbound
TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models cites this paper.
TASQ: Temporal-Adaptive Bit Sparsification Quantization for Diffusion Models PTQD: Accurate Post-Training Quantization for Diffusion Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T01:04:45.740471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.