Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.12472.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:37:06.978070Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T22:59:59.392777Z
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 2a9b0ac8-60f5-49f4-af4f-137a2689429e · inbound
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting cites this paper.
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:37:06.978070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35dfe218-1951-44ca-9e25-3e7a08d66c27 · inbound
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:54:41.036535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ff2899b-2087-4508-baf6-aa66d0e36094 · inbound
STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction cites this paper.
STDCformer: A Transformer-Based Model with a Spatial-Temporal Causal De-Confounding Strategy for Crowd Flow Prediction Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:59:59.398614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.