Pith. sign in

Paper Citation Record · LEDGER

MOSS: A Large-scale Open Microscopic Traffic Simulation System

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.12520.

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

pith.paper-citation-record.v1
2405.12520 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 2026-08-11T10:19:45.640376Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T10:19:46.102639Z

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 f02264f5-f5a1-4003-b413-aa5373c28e06 · inbound

Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation cites this paper.

Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation MOSS: A Large-scale Open Microscopic Traffic Simulation System

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T10:19:46.108557Z

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=2026-08-11T10:19:45.640376Z digest=sha256:8b401a5a050866286d151c2a3fdb0fac8c91a1dfc845cda4d83adedaff3ba372

Observation d6945fb6-e070-45c5-a37a-1fa441c1fcd0 · inbound

Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions cites this paper.

Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions MOSS: A Large-scale Open Microscopic Traffic Simulation System

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T18:01:11.518048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:01:11.518048Z digest=sha256:68b63942db8c13f53d92da6943b06693964b58ddfa6a8496805d21df6cc4cfb9