Paper Citation Record · LEDGER

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.08864.

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

pith.paper-citation-record.v1
2507.08864 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:57:54.163560Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy19
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74b13de1-9d14-4284-8bad-60c9ff5f657c · outbound

This paper cites an unresolved cited work.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:57:54.431465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c27551f7-e58c-484d-af77-44c5e425ae49 · outbound

This paper cites ”Intelligent trafﬁc monitoring system s for vehicle classiﬁcation: A survey.” IEEE Access 8 (2020): 73340-7335 8.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Intelligent trafﬁc monitoring system s for vehicle classiﬁcation: A survey.” IEEE Access 8 (2020): 73340-7335 8

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.423295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 96388e4c-cc9b-49f5-be06-4d92f814803d · outbound

This paper cites ”The year in risk 2017.” Risk Manageme nt 64.11 (2017): 20-25.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”The year in risk 2017.” Risk Manageme nt 64.11 (2017): 20-25

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.413817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9709ffb6-e3f5-43a7-afe3-a23e390bbbe0 · outbound

This paper cites Mokbel, and Xuan Liu.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Mokbel, and Xuan Liu

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.405694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0314f3b5-8321-45af-b6af-c8e88e880518 · outbound

This paper cites ”k-anonymity: A model for protecting privacy.” Inter- national journal of uncertainty, fuzziness and knowledge- based systems 10.05 (2002): 557-570.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”k-anonymity: A model for protecting privacy.” Inter- national journal of uncertainty, fuzziness and knowledge- based systems 10.05 (2002): 557-570

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:57:54.397647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c38fb7a6-a412-40d0-8095-a95e0c91d4cd · outbound

This paper cites ”Deep learning for person re-identiﬁcat ion: A survey and outlook.” IEEE transactions on pattern analysis and machin e intelligence 44.6 (2021): 2872-2893.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Deep learning for person re-identiﬁcat ion: A survey and outlook.” IEEE transactions on pattern analysis and machin e intelligence 44.6 (2021): 2872-2893

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.389002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56fb114a-6bfd-47d6-9fc6-d2e99bfddc27 · outbound

This paper cites ”Differential privacy.” Internationa l colloquium on au- tomata, languages, and programming.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Differential privacy.” Internationa l colloquium on au- tomata, languages, and programming

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.379195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd7f86fc-c4db-4e97-aab9-e5c182b582f2 · outbound

This paper cites Fairness.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Fairness

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.370220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0cce74a6-a8f4-4663-b4f5-52ab0d3bdadd · outbound

This paper cites ”What’s fair about individual fairness ?.” Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”What’s fair about individual fairness ?.” Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.361927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70bea33c-ce5b-40ca-a46c-b4ad7e63b1c8 · outbound

This paper cites ”Group fairness: Independence revisited.” Proceedings of the 2021 ACM conference on fairness, accountability, and trans parency.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Group fairness: Independence revisited.” Proceedings of the 2021 ACM conference on fairness, accountability, and trans parency

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.353298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 076e08c1-c15f-41a6-b7b4-b7ec150e0002 · outbound

This paper cites ”Demographic pari ty: Mitigating biases in real-world data.” arXiv preprint arXiv:2309.173 47 (2023).

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Demographic pari ty: Mitigating biases in real-world data.” arXiv preprint arXiv:2309.173 47 (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.343998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c09954a-a6ab-433a-bf8a-4472ab3aff0b · outbound

This paper cites ”Learning With Location-Based Fairnes s: A Statistically- Robust Framework and Acceleration.” IEEE Transactions on K nowledge and Data Engineering (2024).

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Learning With Location-Based Fairnes s: A Statistically- Robust Framework and Acceleration.” IEEE Transactions on K nowledge and Data Engineering (2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.334571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e62886de-c6e8-4cb9-abb8-b439b2cfd59e · outbound

This paper cites Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:57:54.193968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 630b1f9f-add2-46f3-9f6a-006f2766a10d · outbound

This paper cites an unresolved cited work.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:57:54.325843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dbfb324a-8bd3-4885-8a71-c29beea09a67 · outbound

This paper cites ”Classiﬁcation utility, fairn ess, and compactness via tunable information bottleneck and R´ enyi measures.” I EEE Transac- tions on Information Forensics and Security (2023).

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Classiﬁcation utility, fairn ess, and compactness via tunable information bottleneck and R´ enyi measures.” I EEE Transac- tions on Information Forensics and Security (2023)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.316010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ac26e1c-f6a6-4700-94f7-20e879e9a1a6 · outbound

This paper cites ”Resilient pri vacy protection for location-based services through decentralization.” ACM T ransactions on Privacy and Security (TOPS) 22.4 (2019): 1-36.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Resilient pri vacy protection for location-based services through decentralization.” ACM T ransactions on Privacy and Security (TOPS) 22.4 (2019): 1-36

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.305531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7250a778-73de-452a-9ea5-a873da192251 · outbound

This paper cites ”A Framework for Tradeoff Between L ocation Privacy Preservation and Quality of Experience in Location Based Se rvices.” IEEE Open Journal of V ehicular Technology (2024).

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”A Framework for Tradeoff Between L ocation Privacy Preservation and Quality of Experience in Location Based Se rvices.” IEEE Open Journal of V ehicular Technology (2024)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.294648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3e65f82-28c5-46d9-ad0b-c793f3674dde · outbound

This paper cites ”Deﬁning privacy and utility in data sets.” U.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Deﬁning privacy and utility in data sets.” U

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.284840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 466e3e2d-df44-48f1-9ba0-3359ba0e8a4a · outbound

This paper cites ”Referee-Meta-Learning for Fast Ad aptation of Locational Fairness.” Proceedings of the AAAI Conference o n Artiﬁcial Intelligence.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Referee-Meta-Learning for Fast Ad aptation of Locational Fairness.” Proceedings of the AAAI Conference o n Artiﬁcial Intelligence

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.275888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db632404-d03a-4fff-80f1-3a9ba43f6e73 · outbound

This paper cites ”BUDS: bal- ancing utility and differential privacy by shufﬂing.” 2020 11th Inter- national Conference on Computing, Communication and Netwo rking Technologies (ICCCNT).

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”BUDS: bal- ancing utility and differential privacy by shufﬂing.” 2020 11th Inter- national Conference on Computing, Communication and Netwo rking Technologies (ICCCNT)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.265966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb63c1b5-f64b-4d60-9909-add1e2322c3a · outbound

This paper cites ”BUDS+: Better Privacy with Converger and Noisy Shufﬂing.” Digital Threats: Research and Practice 4.2 (2023): 1-23.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”BUDS+: Better Privacy with Converger and Noisy Shufﬂing.” Digital Threats: Research and Practice 4.2 (2023): 1-23

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.256201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57f97405-87da-4a53-a304-71895eaeb880 · outbound

This paper cites an unresolved cited work.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:57:54.245721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 575b8572-3022-4b2b-b715-be68fe2cdfed · outbound

This paper cites an unresolved cited work.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:57:54.235741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a18d7910-912b-407f-b00c-5e00be99c838 · outbound

This paper cites an unresolved cited work.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:57:54.225485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2a114e7-929e-4e43-b874-06e747f14df5 · outbound

This paper cites ”Dynamic and Non-Linear Analy sis of the Impact of Diurnal Temperature Range on Road Trafﬁc Accidents.” Cli mate 11.10 (2023): 199.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Dynamic and Non-Linear Analy sis of the Impact of Diurnal Temperature Range on Road Trafﬁc Accidents.” Cli mate 11.10 (2023): 199

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.215211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59a1f62f-f3e3-4487-a8d4-c7f76bfa00f3 · outbound

This paper cites ”Examining the effect of adverse w eather on road transportation using weather and trafﬁc sensors.” PLoS one 13.10 (2018): e0205409.

Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System ”Examining the effect of adverse w eather on road transportation using weather and trafﬁc sensors.” PLoS one 13.10 (2018): e0205409

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:57:54.204117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.