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Paper Citation Record · LEDGER

Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.01680.

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

pith.paper-citation-record.v1
2502.01680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:19:28.158394Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:19:28.592847Z

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 526b7e7f-6dd6-4ff6-abe4-bbd539cbc7f5 · inbound

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey cites this paper.

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:19:28.600575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-08-05T22:19:28.158394Z digest=sha256:6ba771e2765ffd1cf1c79fd0094ec18e372a3a914d739cd1cfbe471d73edf792