Paper Citation Record · LEDGER

Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.15495.

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

pith.paper-citation-record.v1
2303.15495 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:40.446669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:22:24.844781Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 2501850d-3bfa-4868-a195-97d238fc2e88 · inbound

Artificial Intelligence in Traffic Systems cites this paper.

Artificial Intelligence in Traffic Systems Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T14:21:18.909227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da322ed-f9cf-48cb-a04a-01766176019e · inbound

Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit cites this paper.

Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T19:12:31.711785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ee2d42-1bd3-4593-8810-95467910e7a9 · inbound

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques cites this paper.

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:22:24.848394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46694e4d-8bc4-49fc-aa28-95d90bc2e5aa · inbound

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders cites this paper.

Detecting Zero-Day Web Attacks with an Ensemble of LSTM, GRU, and Stacked Autoencoders Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:59:40.446669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.