Paper Citation Record · LEDGER

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1802.00386.

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

pith.paper-citation-record.v1
1802.00386 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:07:00.934531Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T20:46:13.606764Z

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 08d46872-d9f8-46df-a43f-60eb4d92060d · inbound

Urban flows prediction from spatial-temporal data using machine learning: A survey cites this paper.

Urban flows prediction from spatial-temporal data using machine learning: A survey Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-14T11:07:00.934531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd9cdb2-531b-455a-9a41-9e45d08b9e4c · inbound

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction cites this paper.

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T05:54:14.756205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2608f87-1b3e-485f-b00f-a7f95d233c0f · inbound

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting cites this paper.

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T18:37:07.122636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a751d11-2807-4267-9e03-905c58c5eba9 · inbound

GTG: Generalizable Trajectory Generation Model for Urban Mobility cites this paper.

GTG: Generalizable Trajectory Generation Model for Urban Mobility Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T16:41:14.636060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc6fc8cd-085a-4ce8-9226-97a2d9b00540 · inbound

UME: A Unified Meta-Generalization Framework for Cross-Domain ETA cites this paper.

UME: A Unified Meta-Generalization Framework for Cross-Domain ETA Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-01T20:46:13.608114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.