Paper Citation Record · LEDGER

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.17373.

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

pith.paper-citation-record.v1
2412.17373 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:35:23.609124Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact1
verified fuzzy23
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30dd5920-1959-4119-95ec-15a4eac5191f · outbound

This paper cites Predicting short-term traffic flow by long short- term memory recurrent neural network,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Predicting short-term traffic flow by long short- term memory recurrent neural network,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.105927Z

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.

Observation bafc0b0a-79e4-4a9a-ac03-602589fee683 · outbound

This paper cites Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Long short-term memory neural network for traffic speed prediction using remote microwave sensor data,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:35:23.463388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d63c97f-2070-49a3-9726-82ac71311edd · outbound

This paper cites Mf-cnn: Traffic flow prediction using convolutional neural network and multi- features fusion,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Mf-cnn: Traffic flow prediction using convolutional neural network and multi- features fusion,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.083009Z

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.

Observation fec61621-510b-4530-90ca-1ddfa75c8041 · outbound

This paper cites Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.069661Z

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.

Observation 58a63ca6-e83b-4263-a2c2-0f32dffad881 · outbound

This paper cites How to build a graph-based deep learning architecture in traffic domain: A survey,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction How to build a graph-based deep learning architecture in traffic domain: A survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.055643Z

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.

Observation 7230ba6c-83f0-4ec7-a5fd-6cbc5221a234 · outbound

This paper cites Deep learning on traffic prediction: Methods, analysis, and future directions,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Deep learning on traffic prediction: Methods, analysis, and future directions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.039360Z

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.

Observation fb77ac8c-d7d3-4f2f-82c6-374baac926dc · outbound

This paper cites Predicting citywide crowd flows using deep spatio-temporal residual networks,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Predicting citywide crowd flows using deep spatio-temporal residual networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:35:23.499177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8868e356-0a82-4f94-80b1-48c2d101b8d2 · outbound

This paper cites Intelligent highway traffic forecast based on deep learning and restructured road models,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Intelligent highway traffic forecast based on deep learning and restructured road models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:24.002652Z

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.

Observation 9afebb92-9101-42fc-8c47-c964d8757d57 · outbound

This paper cites Deep spatio-temporal residual networks for citywide crowd flows prediction,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Deep spatio-temporal residual networks for citywide crowd flows prediction,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:35:23.510108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 845d8f0a-a91c-412d-8e7d-1e3538b38cac · outbound

This paper cites Nexco east,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Nexco east,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.960418Z

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.

Observation 60ce69ef-b676-42b9-88c0-b335f123c361 · outbound

This paper cites Dynamic prediction of traffic vol- ume through kalman filtering theory,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Dynamic prediction of traffic vol- ume through kalman filtering theory,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.946012Z

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.

Observation 75e82935-875d-4537-9441-8cbd53cc4660 · outbound

This paper cites Modeling and forecasting vehicular traffic flow as a seasonal arima process: Theoretical basis and empirical results,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Modeling and forecasting vehicular traffic flow as a seasonal arima process: Theoretical basis and empirical results,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.929923Z

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.

Observation d9eb5151-3874-4992-aad5-459ef19729c7 · outbound

This paper cites Predictions of freeway traffic speeds and volumes using vector autoregressive models,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Predictions of freeway traffic speeds and volumes using vector autoregressive models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.912431Z

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.

Observation f566b587-3aad-4911-a95c-02406c2cfc54 · outbound

This paper cites Traffic flow prediction using adaboost algorithm with random forests as a weak learner,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Traffic flow prediction using adaboost algorithm with random forests as a weak learner,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.896811Z

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.

Observation b7d3c873-da6e-47e4-873e-9d461afc3d7e · outbound

This paper cites A vector- geometry based spatial knn-algorithm for traffic frequency predictions,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction A vector- geometry based spatial knn-algorithm for traffic frequency predictions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.878991Z

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.

Observation a333ea28-ae64-4994-b46d-43e4c9e33895 · outbound

This paper cites A vehicle classification system based on hierarchical multi-svms in crowded traffic scenes,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction A vehicle classification system based on hierarchical multi-svms in crowded traffic scenes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.862059Z

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.

Observation f4bad4e7-e93d-423e-947d-2d74b18d1741 · outbound

This paper cites Lstm network: a deep learning approach for short-term traffic forecast,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Lstm network: a deep learning approach for short-term traffic forecast,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.846009Z

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.

Observation dfd36a20-0db5-4b58-9c73-7611bb6f9ade · outbound

This paper cites Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:35:23.676133Z

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.

Observation df2f4dc3-19ef-486b-a13b-3313b4e5c256 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:35:23.562541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f12aaadf-b927-4aa4-bca3-3df05212e123 · outbound

This paper cites Deeptransport: Learning spatial-temporal dependency for traffic condition forecasting,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Deeptransport: Learning spatial-temporal dependency for traffic condition forecasting,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.830834Z

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.

Observation 2654cd9f-6524-4d26-9ded-4e9145fb41e2 · outbound

This paper cites K-neighboring on multi- weighted graphs for passenger count prediction on railway networks,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction K-neighboring on multi- weighted graphs for passenger count prediction on railway networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.814174Z

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.

Observation a04af3bf-0d28-437a-b918-2eb155c92977 · outbound

This paper cites Multi- weighted graphs learning for passenger count prediction on railway network,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Multi- weighted graphs learning for passenger count prediction on railway network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.795496Z

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.

Observation c031eb20-eeb9-4639-9e21-9cec06e3a26a · outbound

This paper cites Performance measurement system (pems),.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Performance measurement system (pems),

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.776241Z

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.

Observation c3f5ead6-5309-4e9d-9f0a-970189a4a865 · outbound

This paper cites Q-traffic,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Q-traffic,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.759393Z

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.

Observation 30cec132-a718-45e6-99c1-1300299237cc · outbound

This paper cites Loop dataset,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Loop dataset,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.742841Z

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.

Observation 3adc35c6-efd0-4dfa-919b-8db7447fbcd5 · outbound

This paper cites Traffic congestion prediction using toll and route search log data,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Traffic congestion prediction using toll and route search log data,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.727845Z

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.

Observation ef6e418b-12ee-4ef5-b383-73f578c21824 · outbound

This paper cites Improving long-term traffic prediction with online search log data,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Improving long-term traffic prediction with online search log data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.712174Z

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.

Observation 72e19153-cac0-4d76-bde4-bbfa9ae496d6 · outbound

This paper cites Dorapura service,.

FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction Dorapura service,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:35:23.692375Z

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.

Pith citing papers

No inbound Pith citation observations are available.