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Paper Citation Record · LEDGER

Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14079.

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

pith.paper-citation-record.v1
2405.14079 v1

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:37:03.547639Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d6c8e930-d0d8-4182-be7a-4144df8d8b91 · inbound

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study cites this paper.

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T18:37:03.547639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:37:03.547639Z digest=sha256:d6579ba95895977cbd5ef750ac5303c934ee72a649e4a451cc3945b5c05bcb80

Observation 265ce2ab-2fcc-4943-be98-dd4d0226c229 · inbound

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models cites this paper.

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:19.306893Z

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.

source=arxiv_source observed=2026-08-07T12:35:19.124647Z digest=sha256:dea3c41d8e58f29296aad68efcf7e6f6f30f3b63c4ccf4d2ac9490b9bb414f5c