Paper Citation Record · LEDGER

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 9 inbound Pith citation observations for arXiv:2602.20309.

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

pith.paper-citation-record.v1
2602.20309 v4

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T20:20:10.435886Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:52:35.447567Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:09:43.371686Z

Reference resolution

56 of 56 outbound references displayed

verified exact31
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdc9d336-1715-4eb0-b769-1515a0f861b0 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.416884Z

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 189644ff-71f3-4732-81f5-5c770b26a18e · outbound

This paper cites Omnisat: Self-supervised modality fusion for earth observation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Omnisat: Self-supervised modality fusion for earth observation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.149335Z

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 4969f615-3f29-4338-bec1-801e82e8e478 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.421585Z

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 1e9898f8-f9c3-4532-b1d2-2ba1ec23117a · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.404389Z

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 4434e35f-14e0-4716-910b-7be9b0a49e74 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.426415Z

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 5ff9d40c-b781-456b-be44-f713949ffe82 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.392540Z

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 df47fddd-3f96-470a-a47d-5925e04f4649 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action dif- fusion.The International Journal of Robotics Research, 44 (10-11):1684–1704.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Diffusion policy: Visuomotor policy learning via action dif- fusion.The International Journal of Robotics Research, 44 (10-11):1684–1704

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.157364Z

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 06c25bc9-2e26-40a3-b579-e9053ef890ee · outbound

This paper cites STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.411005Z

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 32449052-5293-48d2-a304-ffbeba73f982 · outbound

This paper cites Learning universal policies via text-guided video genera- tion.Advances in neural information processing systems, 36:9156–9172.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Learning universal policies via text-guided video genera- tion.Advances in neural information processing systems, 36:9156–9172

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.153208Z

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 7c9b0b58-ee61-4103-867f-f82b4ccb15b5 · outbound

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

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.398198Z

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 332b1750-a916-408a-9724-90631d4a2c20 · outbound

This paper cites OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.353194Z

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 4c857a25-5d50-4912-b536-efb2ad166f3f · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.357438Z

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 777ff062-3ba4-4182-919b-f60f739cb3fa · outbound

This paper cites Vision-language-action models for robotics: A review towards real-world applications.IEEE Access.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Vision-language-action models for robotics: A review towards real-world applications.IEEE Access

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.125135Z

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 309542d2-cff0-4c79-a0fb-9af47c948121 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.369473Z

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 320e9baf-02c3-4520-8109-4fb6992c40ff · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.114603Z

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 cc732832-9e4b-43c6-889f-6e55e90bf53a · outbound

This paper cites Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.264238Z

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 ef531950-2fe1-4198-8022-4dfb64ebf6d8 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.386958Z

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 f61a40ec-8a22-44da-a2a6-59c6db22a49c · outbound

This paper cites Duquant: Distributing outliers via dual transformation makes stronger quantized llms.Advances in Neural Infor- mation Processing Systems, 37:87766–87800.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Duquant: Distributing outliers via dual transformation makes stronger quantized llms.Advances in Neural Infor- mation Processing Systems, 37:87766–87800

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.087788Z

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 6ff7ba7b-ac75-46a0-9f12-acdb096717d4 · outbound

This paper cites Quantization meets dllms: A systematic study of post-training quantization for diffusion llms.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Quantization meets dllms: A systematic study of post-training quantization for diffusion llms

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.316753Z

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 acdfce9a-df34-4b7c-a4f0-ad391be4668b · outbound

This paper cites Efficient diffusion language models: A comprehensive survey.Authorea Preprints.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Efficient diffusion language models: A comprehensive survey.Authorea Preprints

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.114950Z

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 b1e58404-39cd-4da7-918b-7c782dc4ae15 · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and accelera- tion.Proceedings of machine learning and systems, 6:87– 100.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Awq: Activation-aware weight quantization for on-device llm compression and accelera- tion.Proceedings of machine learning and systems, 6:87– 100

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.126915Z

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 db24a001-5449-42f8-9535-d6696502b522 · outbound

This paper cites Flow Matching for Generative Modeling.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Flow Matching for Generative Modeling

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.332988Z

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 5c0e70f4-bd82-4206-bfb5-9637b8bd7020 · outbound

This paper cites Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.091963Z

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 b50e3790-2321-451f-b64d-c3fa9a8b2862 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.304643Z

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 57c73e52-c994-4537-b147-4c7a81c7b656 · outbound

This paper cites Post-training quantization for vision trans- former.Advances in Neural Information Processing Systems, 34:28092–28103.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Post-training quantization for vision trans- former.Advances in Neural Information Processing Systems, 34:28092–28103

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.094116Z

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 ca238906-b0e4-415b-9a22-11857f653bc4 · outbound

This paper cites Up or down? adap- tive rounding for post-training quantization.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Up or down? adap- tive rounding for post-training quantization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.099873Z

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 7bc53337-4bda-479a-a1cb-be17da076710 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models DINOv2: Learning Robust Visual Features without Supervision

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.298992Z

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 5693795c-44da-4b7e-b025-acbae44b786f · outbound

This paper cites Scalable diffusion models with transformers.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Scalable diffusion models with transformers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.102350Z

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 9a2440b7-8291-444f-a112-09c142415ee9 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.298081Z

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 00607c64-7a79-472e-949c-8e4b2450fb02 · outbound

This paper cites FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.310947Z

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 2289dfcd-54f1-4ef9-8107-c7334f6a730d · outbound

This paper cites Omniquant: Omnidirectionally calibrated quantization for large language models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Omniquant: Omnidirectionally calibrated quantization for large language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.119486Z

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 f7385e09-d754-4098-b55d-121058084bd4 · outbound

This paper cites Efficient Diffusion Models: A Survey.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Efficient Diffusion Models: A Survey

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.285903Z

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 40c5a57b-1773-4e05-9006-26fcc9e17daa · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.386475Z

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 7c4f8094-fa53-444f-979d-e3d18a28c219 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.339148Z

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 981620d0-e0a4-43c7-8720-32014b5ae3c4 · outbound

This paper cites FlatQuant: Flatness Matters for LLM Quantization.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models FlatQuant: Flatness Matters for LLM Quantization

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.322115Z

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 39beb557-4fcf-4d07-97f7-abef2eae4c9d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.380441Z

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 a979f0ab-a8e3-4958-9634-5b1c869b6e64 · outbound

This paper cites Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420–124450.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420–124450

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.129984Z

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 c8ef450c-c869-48ab-9e1d-eac2ce41b026 · outbound

This paper cites Tinyvla: Towards fast, data-efficient vision- language-action models for robotic manipulation.IEEE Robotics and Automation Letters.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Tinyvla: Towards fast, data-efficient vision- language-action models for robotic manipulation.IEEE Robotics and Automation Letters

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.134828Z

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 de3eb2f2-bb81-4bd1-b948-92530495a03b · outbound

This paper cites Ptq4dit: Post-training quantization for diffu- sion transformers.Advances in neural information process- ing systems, 37:62732–62755.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Ptq4dit: Post-training quantization for diffu- sion transformers.Advances in neural information process- ing systems, 37:62732–62755

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.072722Z

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 8dcfa7f3-f2fc-461a-9791-fdd16747b18e · outbound

This paper cites Smoothquant: Accurate and effi- cient post-training quantization for large language models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Smoothquant: Accurate and effi- cient post-training quantization for large language models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.110981Z

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 9544031b-3609-4be6-86bd-8d0bafc1d06b · outbound

This paper cites arXiv preprint arXiv:2502.02175 (2025).

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models arXiv preprint arXiv:2502.02175 (2025)

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.363391Z

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 08fb2d4f-1198-440e-96b3-a1e8a6afb661 · outbound

This paper cites Qwen3 Technical Report.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Qwen3 Technical Report

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.358203Z

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 af056179-2fd3-4ad3-8b8e-110bfee488c9 · outbound

This paper cites DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-29T01:24:21.058523Z

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 23c13f71-caf1-498f-9212-880be3bd6950 · outbound

This paper cites LRQ-DiT: Log-rotation post-training quantization of diffusion transformers for image and video generation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models LRQ-DiT: Log-rotation post-training quantization of diffusion transformers for image and video generation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.342419Z

Source-reported events for the cited work

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Observation 6c7d9eef-d914-4cd6-a27e-074b5a3e79db · outbound

This paper cites EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.316243Z

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Observation 6150133e-1454-4909-b6ec-bcf7fa526510 · outbound

This paper cites RPTQ: Reorder-based Post-training Quantization for Large Language Models.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models RPTQ: Reorder-based Post-training Quantization for Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.374756Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ce53278-1caf-4bdf-b881-d1f237f63e45 · outbound

This paper cites Sigmoid loss for language image pre-training.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Sigmoid loss for language image pre-training

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.139254Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b3c46f3f-6801-4a6a-a226-9396b404342d · outbound

This paper cites MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.369582Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 083f34a2-4834-46da-a7f6-9f66c3f7baf2 · outbound

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

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:20:17.351476Z

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 8e0c25a2-5533-4529-8552-203ad1967be0 · outbound

This paper cites Mixdq: Memory-efficient few-step text-to-image dif- fusion models with metric-decoupled mixed precision quan- tization.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Mixdq: Memory-efficient few-step text-to-image dif- fusion models with metric-decoupled mixed precision quan- tization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.086456Z

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Observation 1e116615-024f-453d-9acd-9a84bc7ff5f1 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.258243Z

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Observation 1efa9a8e-30fe-4c9f-bc6b-8681d5a75408 · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:20:17.380818Z

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 b1870ba3-78b6-46ae-98fa-8299f5e3bfd7 · outbound

This paper cites A Survey on Vision-Language-Action Models: An Action Tokenization Perspective.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:08:35.879535Z

Source-reported events for the cited work

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Observation f8a3bd44-3d52-4d63-90dd-945154d0d256 · outbound

This paper cites arXiv preprint arXiv:2506.06072 , year=.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models arXiv preprint arXiv:2506.06072 , year=

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T20:20:17.348206Z

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 06e8de93-07d9-4fa7-a9c8-9e11f4976df0 · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:47:30.400020Z

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 ae8ec94a-6965-43be-97cc-8c78251e6604 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T20:20:18.144072Z

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Pith citing papers

Observation 374328c2-eb24-4a33-a529-b0bc17e4c839 · inbound

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization cites this paper.

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-10T06:01:13.352860Z

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 fe226332-5394-4568-a508-c63badc51cbd · inbound

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs cites this paper.

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-14T17:52:33.124133Z

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 6a5fbf6a-d079-45b3-8e55-15b0808407f5 · inbound

{\Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step Scaling cites this paper.

{\Omega}-QVLA: Robust Quantization for Vision-Language-Action Models via Composite Rotation and Per-step Scaling QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T12:53:26.922571Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a0b832b-b4bc-4ff3-a6bb-5c4ee03efdc8 · inbound

Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models cites this paper.

Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:49:18.569080Z

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 ac519eab-7a0e-49f5-b8d8-1616c550b3cd · inbound

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models cites this paper.

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:09:43.372893Z

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 e0f7ca81-338b-4d38-aaee-09d20266ebf2 · inbound

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks cites this paper.

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:45:48.351244Z

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 d4d909d9-d04c-4fef-b8b5-b8f707780931 · inbound

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks cites this paper.

The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:35:40.040172Z

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 b954ec63-a7d2-4ecb-8d25-6fcd3f4de4de · inbound

QuantWAMs: Calibrating at the Right Granularity for World Action Models cites this paper.

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

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Observation 69115029-d45e-4699-82ef-7503a48e859d · inbound

PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud cites this paper.

PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:52:35.447567Z

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