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Paper Citation Record · LEDGER

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.02785.

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

pith.paper-citation-record.v1
2506.02785 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:55.353708Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4e7eec7-faf4-4a65-8621-89bdac7d425f · outbound

This paper cites Federated Learning for Edge-Based Fault Diagnosis in Connected Vehicles,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Federated Learning for Edge-Based Fault Diagnosis in Connected Vehicles,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.556289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.295810Z digest=sha256:885de55e3fb338a296b65e28a2b32230d3d7a3b0d7e171ef766e03dbd868588d

Observation c3689af8-7cc8-48a0-9902-d0682c149d8f · outbound

This paper cites A comprehensive review on artificial intelligence driven predictive maintenance in vehicles: technologies, challenges and future research directions,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration A comprehensive review on artificial intelligence driven predictive maintenance in vehicles: technologies, challenges and future research directions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.544466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.300755Z digest=sha256:966b554109f40079ef525cb5705478f09892a8c068c07362c2003be82479ac13

Observation 05a4bfbf-3395-4013-847a-e2cfa9b955b9 · outbound

This paper cites An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.532108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.304728Z digest=sha256:b737ccd1b4c763fa52745a0f85b113217f3789729f3b985cd77192cd32bd2d90

Observation eec8aa9f-0e21-48d7-80fc-8f178bc1f951 · outbound

This paper cites Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.520428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.309156Z digest=sha256:c6f772821741a4d789c7dbc2222de70c0b1464183234cecfdb5fe2e5cffce656

Observation 3ecd03ba-b40b-4598-bc0d-02d3b5e1655e · outbound

This paper cites Transformer-Based Anomaly Detection for Automotive Sensor Networks,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Transformer-Based Anomaly Detection for Automotive Sensor Networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.508725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.313595Z digest=sha256:6125ea5afcd8a145c335873f0abb611f83b8c48910bd89dee1b9ebb1d9d93987

Observation 7c92aa29-d957-40a8-a208-104c6b5cd5a8 · outbound

This paper cites Hybrid AI-Physics-Based Fault Diagnostics for Automotive Systems,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Hybrid AI-Physics-Based Fault Diagnostics for Automotive Systems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.495725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.317594Z digest=sha256:7faa2cdac2a7cc4bb26a9be2426e59b601448b70e8e60b6c7adc10d8b7016137

Observation a10d3179-8043-40b5-844c-0cd58b42140c · outbound

This paper cites A survey on service migration strategies for vehicular edge computing,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration A survey on service migration strategies for vehicular edge computing,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.480293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.322090Z digest=sha256:7dfb54c425677f38a8fd3c1c2832767f47d8dcb26d4699b3437ea24411154a92

Observation 75a956d4-f5c7-4e34-9ae3-0ecaceaf1ff5 · outbound

This paper cites Edge- Enabled V2X Service Placement for Intelligent Transportation Systems,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Edge- Enabled V2X Service Placement for Intelligent Transportation Systems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.467027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.325962Z digest=sha256:3add71d2f5a83679beb8b66ba509746767a2711662d27ba242576046d3760137

Observation 30bacf79-c9b2-4d23-bc51-9bd93a99fb38 · outbound

This paper cites A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration A Joint Service Migration and Mobility Optimization Approach for Vehicular Edge Computing,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.454417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.330136Z digest=sha256:452aa86041ae1d990f628781e8bc2a0669403753432bee3259f2de4096f27c29

Observation 27963813-9950-42a9-8bba-6c1a339a81fb · outbound

This paper cites Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.441820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.334474Z digest=sha256:a47bd2ecd9963f310bf2638b74422a198b9955e835202ec890deb814516c787b

Observation b2e53460-ff38-4daa-a6f6-0f103924c2c5 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:55.338739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:55.338739Z digest=sha256:89e7ff31bfc4270c6e44901792d082463ed9fd68d89789ba429ce5d856acc5ae

Observation d1d9228d-1958-4fc7-ac63-5b1ca2330175 · outbound

This paper cites TabNet: Attentive Interpretable Tabular Learning.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration TabNet: Attentive Interpretable Tabular Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:55.342650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:55.342650Z digest=sha256:2bc4946f4325b91ecb72beda2e30ef73acc3ccd4047c1223ae0ae00499128924

Observation 25f8b23c-4fd7-4440-b00d-ba00d05c6ae0 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimiza- tion Framework,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Optuna: A Next-generation Hyperparameter Optimiza- tion Framework,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.429130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.346644Z digest=sha256:a6e99cac75ab6d18d0f5ada51837819e0ff8b75835eed13017dd307664458236

Observation 23b8f7f7-a1b6-4d0d-aa6f-39b8c877ac31 · outbound

This paper cites A Unified Approach to Interpreting Model Predictions,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration A Unified Approach to Interpreting Model Predictions,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:55.350234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:55.350234Z digest=sha256:47fbf453e440ceb287600fef4b568229830e679da1837feddf33c52b914b017f

Observation 52d99308-6d64-42fb-b3f9-f453af920c75 · outbound

This paper cites Detection and Classification of Anomalies in WSN-Enabled Cyber-Physical Systems,.

AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration Detection and Classification of Anomalies in WSN-Enabled Cyber-Physical Systems,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:20:55.408994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:20:55.353708Z digest=sha256:fad6dd95b0b4484f2cb0a1435b38814d1be0a42b19623fbde1e28fbb0f1d025e

Pith citing papers

No inbound Pith citation observations are available.