Paper Citation Record · LEDGER

Deep Learning Network-Temporal Models For Traffic Prediction

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2603.11475.

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

pith.paper-citation-record.v1
2603.11475 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T22:51:55.339022Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8158b82-a51f-4cf6-bb9f-3e231cab8bf9 · outbound

This paper cites Network planning with deep reinforcement learning,.

Deep Learning Network-Temporal Models For Traffic Prediction Network planning with deep reinforcement learning,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f080df-4992-4a31-8e4a-dbdaccf090c5 · outbound

This paper cites Breaking boundaries: Balancing performance and robustness in deep wireless traffic fore- casting,.

Deep Learning Network-Temporal Models For Traffic Prediction Breaking boundaries: Balancing performance and robustness in deep wireless traffic fore- casting,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c51acda6-28c3-4568-a9ef-0fedfb7a30fb · outbound

This paper cites Traffic engineering: from isp to cloud wide area networks,.

Deep Learning Network-Temporal Models For Traffic Prediction Traffic engineering: from isp to cloud wide area networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5437ffc5-6e6a-4b1a-b5e2-bde6faa140ed · outbound

This paper cites Proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: Model-free drl approach,.

Deep Learning Network-Temporal Models For Traffic Prediction Proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: Model-free drl approach,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc1661e-0a20-48a8-b827-7510032ad697 · outbound

This paper cites Monitor- ing and diagnostic technologies using deep neural networks for predic- tive optical network maintenance,.

Deep Learning Network-Temporal Models For Traffic Prediction Monitor- ing and diagnostic technologies using deep neural networks for predic- tive optical network maintenance,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7fa05a2-48d3-46d0-b312-ec46611b62a9 · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

Deep Learning Network-Temporal Models For Traffic Prediction Modeling long-and short-term temporal patterns with deep neural networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fe25156-feb8-4f21-8e54-9743f97dd8f6 · outbound

This paper cites Forecast evaluation for data scientists: common pitfalls and best practices,.

Deep Learning Network-Temporal Models For Traffic Prediction Forecast evaluation for data scientists: common pitfalls and best practices,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46f2cd0-e96b-4aa1-9602-5a76c5afc809 · outbound

This paper cites A resource-aware multi-graph neural network for urban traffic flow prediction in multi-access edge computing systems,.

Deep Learning Network-Temporal Models For Traffic Prediction A resource-aware multi-graph neural network for urban traffic flow prediction in multi-access edge computing systems,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 795fff5a-ca9d-41ad-8fcb-44d330a3f222 · outbound

This paper cites Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting,.

Deep Learning Network-Temporal Models For Traffic Prediction Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567dffce-f9ab-423a-92fe-e174db1097cf · outbound

This paper cites Predicting wan traffic volumes using fourier and multivariate sarima approach,.

Deep Learning Network-Temporal Models For Traffic Prediction Predicting wan traffic volumes using fourier and multivariate sarima approach,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6609867-602c-43d1-b628-f2c35425d329 · outbound

This paper cites TimeGPT-1.

Deep Learning Network-Temporal Models For Traffic Prediction TimeGPT-1

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81c5e761-3798-49a4-830e-943f580ac867 · outbound

This paper cites Large language models are zero-shot time series forecasters,.

Deep Learning Network-Temporal Models For Traffic Prediction Large language models are zero-shot time series forecasters,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8358963e-45d8-4407-917d-f50a00ab0747 · outbound

This paper cites Time-llm: Time series forecasting by reprogramming large language models,.

Deep Learning Network-Temporal Models For Traffic Prediction Time-llm: Time series forecasting by reprogramming large language models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf874fd-e450-4aae-a198-02e53f503403 · outbound

This paper cites Calf: Aligning llms for time series forecasting via cross- modal fine-tuning,.

Deep Learning Network-Temporal Models For Traffic Prediction Calf: Aligning llms for time series forecasting via cross- modal fine-tuning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T22:51:55.339022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.