Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T07:28:40.139864Z
Paper Citation Record · LEDGER
W4A4 Quantization for Inference on Wan2.2-I2V-A14B
As of 4 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2606.29337.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4ba4ab89-4e0e-49a9-a28d-fcad6afb8a0a · outbound
This paper cites Wan2.2: Open large-scale video generation models,.
W4A4 Quantization for Inference on Wan2.2-I2V-A14B Wan2.2: Open large-scale video generation models,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T07:28:40.139864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0d45055-42f4-47de-a56c-ac5636faad83 · outbound
This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.
W4A4 Quantization for Inference on Wan2.2-I2V-A14B Smoothquant: Accurate and efficient post-training quantization for large language models,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T07:28:40.139864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5534f65b-4386-4d2a-955b-7b1a1a5f5d58 · outbound
This paper cites MixQ: Taming dynamic outliers in mixed-precision quantization by online prediction,.
W4A4 Quantization for Inference on Wan2.2-I2V-A14B MixQ: Taming dynamic outliers in mixed-precision quantization by online prediction,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-30T07:28:40.139864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bef3cd2-687d-445e-b3d6-1c6c37c7d5e2 · outbound
This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.
W4A4 Quantization for Inference on Wan2.2-I2V-A14B Quantizing deep convolutional networks for efficient inference: A whitepaper
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T07:34:21.731603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.