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Paper Citation Record · LEDGER

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2308.14284.

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

pith.paper-citation-record.v1
2308.14284 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:54:41.156127Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.026818Z

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 03b69dab-5be5-4e83-8155-a45fb6f71f3d · inbound

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis cites this paper.

BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T04:54:41.156127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:54:41.156127Z digest=sha256:6421ae45bcab498abb00f6be323dfcfd16e6238b0e2aae5388b690028d0f7273

Observation b31b6e67-7bc0-43e2-891e-36a2122aac61 · inbound

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models cites this paper.

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T20:45:05.290901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:45:05.290901Z digest=sha256:2590562c379e6204f553bb3e566baa195c7b2334f250e79a17bd55e19121cfbf

Observation fd30a61b-267b-4465-85b0-75b56d120b2c · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 186

Resolution
unresolved
no resolver link, observed 2026-08-10T21:37:04.964858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:04.964858Z digest=sha256:27b5a6ab31c0bc6f766657b4742fd493b796da7e23f10bfc8a07ec6566924574

Observation 3b179188-005d-4b9b-8417-f05baef70dfc · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:07:04.481178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:07:04.481178Z digest=sha256:12ff27aaaadcf208f2f443ce2fab65e3ddf2aa092164703d1dff37e1ea4aa69e

Observation 8f5ae38b-34a2-48ae-bd74-e9a5fd94896e · inbound

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination cites this paper.

GraphTrafficGPT: Enhancing Traffic Management Through Graph-Based AI Agent Coordination Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:26:36.945954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:26:36.945954Z digest=sha256:d8c3058180495ad65aa3dc67ef4e8d7b7f2d514326950ef0581ed53c39e4bc9a

Observation bcdc3b6a-eb36-4ecc-a00c-0102dca0b927 · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:56:14.231756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T17:35:21.127740Z digest=sha256:a92d754cc3a2ae1898f075324ca70d80478860b215b190d4a0e9b84b368d338f

Observation 9f3c2e8d-e047-4afa-981d-3f69b515ebf6 · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:27:31.028367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T16:33:28.848573Z digest=sha256:ede9dd3e824853685c95869caaccd8ac226e032a21d44d8f9cae65b2362fd74f