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Paper Citation Record · LEDGER

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:41:14.636060Z

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 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.

source=arxiv_source observed=2026-08-09T16:41:14.636060Z digest=sha256:1c0bbcdbcedcf96f7f381451b9b5d8d7cd9f58e375a9d06552bba0dd080de272

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:46:56.748768Z digest=sha256:414e2404695e8b2e7be7d526a7481ba7242d02ab581537e35364c79822458fcd