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Paper Citation Record · LEDGER

Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.06681.

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

pith.paper-citation-record.v1
2412.06681 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:29.005282Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:16:29.287501Z

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 ad38e771-92fb-444b-be37-723cd26f8053 · inbound

Aligning LLM with human travel choices: a persona-based embedding learning approach cites this paper.

Aligning LLM with human travel choices: a persona-based embedding learning approach Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:26:29.005282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:26:29.005282Z digest=sha256:dd68a7decd86ff9572a9d5d30fe85741667a7bedc8fc15edb3799fdab7b58fa8

Observation d36d91da-47d4-4ea7-a010-2726b96755f5 · inbound

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations cites this paper.

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:49.754253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:49.754253Z digest=sha256:fe404980fed1c33459ca445c165eac3bfe04426d4d1adf9c741784756a2b14f5

Observation 542634a7-6fc9-4baa-bb28-3bf30a0131a1 · inbound

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research cites this paper.

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:16:29.291722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T15:16:28.644950Z digest=sha256:5147c84f8c07212b68dabc1f44f4b4c99337258000d5dd47af8f3467645455bb