Paper Citation Record · LEDGER

QuantWAMs: Calibrating at the Right Granularity for World Action Models

As of 6 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.28405.

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

pith.paper-citation-record.v1
2607.28405 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:25:32.533730Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d720d7f-4305-436e-9a4c-d024e722198f · outbound

This paper cites Motus: A Unified Latent Action World Model.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Motus: A Unified Latent Action World Model

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.468532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeef016e-366c-48ef-988d-2577a7b0d987 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

QuantWAMs: Calibrating at the Right Granularity for World Action Models RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.484018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc31f8c1-6972-48d2-9190-b4ce6706297f · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

QuantWAMs: Calibrating at the Right Granularity for World Action Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.490382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 458dad79-833d-466b-b8db-0551242f2cd3 · outbound

This paper cites Video Generators are Robot Policies.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Video Generators are Robot Policies

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.501409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e38058-1f8d-4389-af2f-9275291cfb17 · outbound

This paper cites Qvla: Not all channels are equal in vision-language-action model’s quantization.arXiv preprint arXiv:2602.03782,.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Qvla: Not all channels are equal in vision-language-action model’s quantization.arXiv preprint arXiv:2602.03782,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.514200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ddd91b6-589a-4e06-877b-e2ca95c249de · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.523548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b954ec63-a7d2-4ecb-8d25-6fcd3f4de4de · outbound

This paper cites QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models.

QuantWAMs: Calibrating at the Right Granularity for World Action Models QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.528968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b887995-54ba-4010-a5ba-56ef220f3120 · outbound

This paper cites ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.

QuantWAMs: Calibrating at the Right Granularity for World Action Models ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.533730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e86a186e-8e56-4495-ba2f-4ffdac03aeeb · outbound

This paper cites Post-training quantization on diffusion models.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Post-training quantization on diffusion models

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.508023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9fad7b4-22e5-4453-aee9-d232ebddfedc · outbound

This paper cites Causal World Modeling for Robot Control.

QuantWAMs: Calibrating at the Right Granularity for World Action Models Causal World Modeling for Robot Control

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.496305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa74d905-826e-4494-b43b-232cd12ae849 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

QuantWAMs: Calibrating at the Right Granularity for World Action Models WorldVLA: Towards Autoregressive Action World Model

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.474915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598ba063-ac36-4830-b751-c077d64cda92 · outbound

This paper cites World Action Models are Zero-shot Policies.

QuantWAMs: Calibrating at the Right Granularity for World Action Models World Action Models are Zero-shot Policies

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-07-31T08:25:32.518866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.