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Paper Citation Record · LEDGER

Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07364.

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

pith.paper-citation-record.v1
2407.07364 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:34:48.552562Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:19:06.466879Z

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 095e4ec9-a5ba-43a9-96f9-0527978255f8 · inbound

Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection cites this paper.

Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T15:34:48.552562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:34:48.552562Z digest=sha256:0d38f0561d11dcc16e86f585542a7df3ebe0d18e68c795f09f48bbe306ec5c03

Observation ac0b660f-a7d4-4488-be5a-0f40b0b6d58c · inbound

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets cites this paper.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:19:06.472025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:19:06.330029Z digest=sha256:76ed3138f70c3f45ece35cc44dbf9dad9dc35fdc3af6e8f4cfb6754ec2bd7cc8