Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do We Really Need Graph Neural Networks for Traffic Forecasting?
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.12603.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:01:39.861628Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:07:27.724181Z
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 e45f7114-e0b5-4c35-866f-1f3ed6453230 · inbound
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting cites this paper.
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting Do We Really Need Graph Neural Networks for Traffic Forecasting?
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:01:39.861628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4bcabce-59a7-4af5-8841-26a63891f71a · inbound
Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion cites this paper.
Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion Do We Really Need Graph Neural Networks for Traffic Forecasting?
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:05:12.774259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d64b252-5d09-4702-8d64-9ec20e9f37ce · inbound
Channel-Independent Federated Traffic Prediction cites this paper.
Channel-Independent Federated Traffic Prediction Do We Really Need Graph Neural Networks for Traffic Forecasting?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:59:43.979746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56217c59-fb8a-41f5-b917-f2adc1be9b38 · inbound
Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth cites this paper.
Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth Do We Really Need Graph Neural Networks for Traffic Forecasting?
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:07:27.725782Z
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 ad05ac39-41db-42d7-a7fc-6de1048f6433 · inbound
Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? cites this paper.
Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? Do We Really Need Graph Neural Networks for Traffic Forecasting?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T05:55:25.279392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.