Paper Citation Record · LEDGER

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 4 inbound Pith citation observations for arXiv:2509.03704.

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

pith.paper-citation-record.v1
2509.03704 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:50:17.035607Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:32:33.363754Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:49:37.361712Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy6
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef9c625b-90da-4360-b749-030ecd4b7f5d · outbound

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

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.871590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346c2994-30c4-426c-9bf8-427fdca8ea7a · outbound

This paper cites CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.896137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0692a8-f840-48a5-9094-4a79b8bffef3 · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception When2com: Multi-agent perception via communication graph grouping

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.778193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f962c948-afb2-4981-ac9d-d1b145e996da · outbound

This paper cites Analysis of v2x communication parameters for the development of a fusion architecture for cooperative perception systems.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Analysis of v2x communication parameters for the development of a fusion architecture for cooperative perception systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.742853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10ddf7e5-a543-4a38-90d8-b5ffa44d6a5c · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint perception and prediction.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception V2vnet: Vehicle-to-vehicle communication for joint perception and prediction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.677057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ffbc0c1f-b9bb-4dc0-9dbd-5fe45b2bd840 · outbound

This paper cites EasyQuant: Post-training Quantization via Scale Optimization.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception EasyQuant: Post-training Quantization via Scale Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.988230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62d0305-4d5d-4852-9681-a89891b6c039 · outbound

This paper cites V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception V2X-Real: a Large-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.997015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca08949-7303-46fc-84d7-d52eb2ebcf1d · outbound

This paper cites CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:17.012580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca40d83-85b6-4c7f-b821-ccae66df5f3c · outbound

This paper cites PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:17.019684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eea83e60-5814-4896-a137-05f7098ef49a · outbound

This paper cites CooPre: Cooperative Pretraining for V2X Cooperative Perception.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception CooPre: Cooperative Pretraining for V2X Cooperative Perception

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:17.027768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88741610-8afd-4c5e-8040-592c71d8ca22 · outbound

This paper cites V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:17.035607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 918452bc-4d45-4633-9182-93cb6398c2b8 · outbound

This paper cites Collaborative automated driving: A machine learning-based method to enhance the accuracy of shared information.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Collaborative automated driving: A machine learning-based method to enhance the accuracy of shared information

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.709846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c7fb40d-2bc1-4e8e-9c71-610114543e80 · outbound

This paper cites Up or Down? Adaptive Rounding for Post-Training Quantization.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Up or Down? Adaptive Rounding for Post-Training Quantization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.934268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65cba86-4768-4c6c-9440-c869f193b21e · outbound

This paper cites ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.839189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b08200-2d42-4254-bdc9-832f0a1ca47f · outbound

This paper cites Loss Aware Post-training Quantization.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Loss Aware Post-training Quantization

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:50:17.380903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c8636f8-fe30-4ce1-896c-f7190642df10 · outbound

This paper cites F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.832464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa3f86f1-504f-451c-a407-7284a3b00a3b · outbound

This paper cites Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, and Siheng Chen.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Yue Hu, Juntong Peng, Sifei Liu, Junhao Ge, Si Liu, and Siheng Chen

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:50:17.803016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b2ee982-5da9-4f62-a49b-3e11bbd87699 · outbound

This paper cites Learned Step Size Quantization.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Learned Step Size Quantization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.862305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92fdc11a-920c-4fde-aa68-4a39a61f0a7a · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.889201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eba7bf7-e4df-4a1c-af69-39801f00c2ff · outbound

This paper cites PD-Quant: Post-Training Quantization based on Prediction Difference Metric.

QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception PD-Quant: Post-Training Quantization based on Prediction Difference Metric

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T10:50:16.910067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 74696471-8b18-4391-963d-0918954b71aa · inbound

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving cites this paper.

BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T01:14:23.983235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94f6f208-d1a7-42a3-a1d8-3dea7846a495 · inbound

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems cites this paper.

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T01:14:23.983235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 620cd755-e373-4c45-ada8-e7b3f8cb70f5 · inbound

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages cites this paper.

FleetAgent: Teleoperation Assistant for Autonomous Fleets via Vectorized V2N Messages QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:49:37.363999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebc5a5b4-7880-47d3-a9b3-f33111ee07d0 · inbound

CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models cites this paper.

CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T00:32:33.363754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.