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Paper Citation Record · LEDGER

AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2404.06345.

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

pith.paper-citation-record.v1
2404.06345 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:52.261434Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:22:38.283665Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 1aef08ca-1412-48f8-98e6-0b4737142ee9 · inbound

CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception cites this paper.

CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T14:26:45.156182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:26:45.156182Z digest=sha256:7e9c046de7d37686dffa32884c8e90b0dfcf9a30440ea277550cfd3949e0e959

Observation 306e3bc7-b675-429f-bc89-08145841c938 · inbound

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks cites this paper.

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 73

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unresolved
no resolver link, observed 2026-08-10T22:33:47.325149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:33:47.325149Z digest=sha256:8746438a40bd66b54719302ed6e343ecad61276875a86b6f8898f92892b4b368

Observation 04bc277a-8516-4d96-96cf-315ef85f1490 · inbound

LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data cites this paper.

LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 13

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unresolved
no resolver link, observed 2026-08-10T22:24:18.348668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:24:18.348668Z digest=sha256:9d947399d4efabe756dc6b647b8c5c301a954faf38c31e4a04c9469abbed4ebe

Observation 4439f081-45b5-4735-ae72-fb65d3e51d86 · inbound

GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection cites this paper.

GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:22:38.289040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T06:20:58.468472Z digest=sha256:adfa485ac3dca2c168fc3c97f960501ec40b8ae39b5a9c1551d4d83d4cc4ee9f

Observation c326dbd0-34b7-4d54-ac8b-963fcc6be345 · inbound

Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples cites this paper.

Constructing 4D Radio Map in LEO Satellite Networks with Limited Samples AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 62

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unresolved
no resolver link, observed 2026-08-10T22:10:20.208988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:10:20.208988Z digest=sha256:368a22516bffd2847b6724663e6dae284f4f24e7d08343710b45fd3ca68385a1

Observation 46a9d84c-6016-4298-bf45-1ae7187a443f · inbound

LangCoop: Collaborative Driving with Language cites this paper.

LangCoop: Collaborative Driving with Language AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:52.261434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:13:52.261434Z digest=sha256:5ffef09142253569ba8530cac37aa405df17ad75c7a78200cccac28ae3d56590

Observation 4ff61890-8bc6-4d66-8cdf-f6d364e153d9 · inbound

SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework cites this paper.

SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 47

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unresolved
no resolver link, observed 2026-08-16T12:11:34.993265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:11:34.993265Z digest=sha256:38b8a27e747bf6cd1033cc2c91d0d293de01d5b587e6ae798d97960549480824

Observation ab474200-0bfa-4ae9-8302-b1044e69db8e · inbound

Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization cites this paper.

Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T10:30:04.039842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:30:04.039842Z digest=sha256:3db18321713e7e925cb1a36c397a6644719cc1602568bb3c4ad3757c5b659f04

Observation c92012ef-2be8-49c8-b5b5-375aacbb6cae · inbound

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models cites this paper.

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 10

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unresolved
no resolver link, observed 2026-08-16T00:46:32.337228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:46:32.337228Z digest=sha256:a13d0f175210eddcf8f270d98aa99fab5408f11434fbc9c85a9d9a6816cf04b4

Observation d23bbf05-3146-489c-81e5-030cf2546575 · inbound

DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection cites this paper.

DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:36:15.775628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:36:15.775628Z digest=sha256:b8b639f00092509b2b118f0524c3ded725a8449b68323847b9c227b3efc1ced3

Observation 5cb9a6a9-d3db-4e0c-b557-f286d8b1c050 · inbound

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning cites this paper.

CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 18

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unresolved
no resolver link, observed 2026-08-07T14:37:05.836787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:05.836787Z digest=sha256:f4b9e1c8e36cb5bf1dc07bbc529d51e0be0f99b38e1a754485cbf629fd66e775

Observation 0abb115e-a6af-4e5a-9e10-70d7acc83268 · inbound

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation cites this paper.

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:28:29.380049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:28:29.380049Z digest=sha256:82a8fc7d6936d56631e434ff837256db56bd47f8b2646de40d56f5457fe95a19

Observation 220095c2-6e13-40ea-a927-ca2b749e959c · inbound

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring cites this paper.

Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T21:14:37.331622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:14:37.331622Z digest=sha256:454d7d30865df1f2bb81b86786f0ea9635b9b3196309905975d7e2d0455c6e54

Observation 6dd67114-1349-4745-84c7-4d7b37942fe7 · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.523258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.523258Z digest=sha256:7e0aeb234309af58ebf8bca10f620e0fb49fbd295314315031e38d7d7ce7abce

Observation 86b25054-6b0e-47bb-9156-b4394688ab77 · inbound

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic cites this paper.

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.569660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T16:00:59.662003Z digest=sha256:e0550ad7bc514f7ccc1f2763895f043467039e870d071e10a1b5cf5e96e5d335