Paper Citation Record · LEDGER

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.13608.

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

pith.paper-citation-record.v1
2501.13608 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:48:59.442740Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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 fuzzy7
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aef523ef-b1de-4b59-8525-0a5d5d8c044d · outbound

This paper cites https://www.who.int/health-topics/air-pollution (Accessed June 16, 2023).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion https://www.who.int/health-topics/air-pollution (Accessed June 16, 2023)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.936275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b2cebc2-7248-42b4-ba9d-1f5d563e10ad · outbound

This paper cites ACM Computing Surveys 56(9), 1–38 (2024).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion ACM Computing Surveys 56(9), 1–38 (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.925094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d33df7f-3860-45e2-9a33-f43cbc5c1e93 · outbound

This paper cites an unresolved cited work.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T15:48:59.914746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91e2bf02-d029-4dca-88eb-17fc7dfe453d · outbound

This paper cites ACM Transactions on Rec- ommender Systems (2024).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion ACM Transactions on Rec- ommender Systems (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.904425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b6a5cac-eeb1-46dd-9b7c-c3cb5ef59a2f · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) (2025).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion ACM Transactions on Intelligent Systems and Technology (TIST) (2025)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.894611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b21e0a07-eea3-4f9d-a072-53b7fbfe2b34 · outbound

This paper cites ACM Computing Surveys (CSUR) (2), 1–38 (2022).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion ACM Computing Surveys (CSUR) (2), 1–38 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.885147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c03b3310-5e35-4e10-87c7-c9a01f88670c · outbound

This paper cites In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.876555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d58ecc6-883f-4e9f-91aa-a85a976be8ba · outbound

This paper cites Recommendation with Generative Models.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion Recommendation with Generative Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.420563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9882203-a477-44fc-b3cb-ae0be0b89a5a · outbound

This paper cites User Modeling and User-Adapted Interaction34(1), 59–108 (2024).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion User Modeling and User-Adapted Interaction34(1), 59–108 (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:48:59.867077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2bdc56be-5383-4158-be88-487501fc1c65 · outbound

This paper cites IEEE Internet of Things Journal 6(3), 5577–5584 (2019).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion IEEE Internet of Things Journal 6(3), 5577–5584 (2019)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.426958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 716bc5ba-8102-43ff-84b6-9d9f370c954d · outbound

This paper cites In: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion In: Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.430871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985e9e2c-5030-4151-9795-86ff8bdc7bf2 · outbound

This paper cites In: Proceedings of the 9th ACM Conference on Recommender Systems.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion In: Proceedings of the 9th ACM Conference on Recommender Systems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.433913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159e3f64-e7ac-4c06-b785-7f0617fe0524 · outbound

This paper cites In: The World Wide Web Conference.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion In: The World Wide Web Conference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.436955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30f8a92-ecec-4f17-87df-fc4ee52e393d · outbound

This paper cites International Journal of Hygiene and Environmental Health 251, 114186 (2023).

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion International Journal of Hygiene and Environmental Health 251, 114186 (2023)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.439847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f96394-38d9-4ddf-a937-767dbc3f4ed0 · outbound

This paper cites Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems.

AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:48:59.442740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.