Paper Citation Record · LEDGER

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.15174.

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

pith.paper-citation-record.v1
2507.15174 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:43:45.462168Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy10
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69f3c8ee-6fed-45dc-88ef-359372ef5cde · outbound

This paper cites At each time step t, agent i observes its own state oi,t ∈ Ωi, selects an action ai,t ∈ Ai, and receives a reward ri,t.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control At each time step t, agent i observes its own state oi,t ∈ Ωi, selects an action ai,t ∈ Ai, and receives a reward ri,t

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:46.025135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fb61da56-febe-4009-83fa-63be0e9f5608 · outbound

This paper cites Adapting Deep Visuomotor Representations with Weak Pairwise Constraints.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:44.414558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee47bd48-3039-42c9-aa74-9d0111e83aa6 · outbound

This paper cites Using simulation and domain adaptation to improve efficiency of deep robotic grasping.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Using simulation and domain adaptation to improve efficiency of deep robotic grasping

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:47.029612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0259d88-7f94-47c4-b8f5-8fc0c541bd87 · outbound

This paper cites Walsh, and Jonathan P.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Walsh, and Jonathan P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:46.826202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac407b43-69b0-4bc1-8032-4fbf790043fe · outbound

This paper cites Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T15:43:45.791644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34dc2fc0-6408-4c07-8bca-4c5b08150b38 · outbound

This paper cites URL https://doi.org/10.1038%2Fnature14422.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control URL https://doi.org/10.1038%2Fnature14422

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:44.972951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c7658c-942b-4552-a4d6-c133c60c3829 · outbound

This paper cites An imitation from observation approach to transfer learning with dynamics mismatch.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control An imitation from observation approach to transfer learning with dynamics mismatch

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:46.267511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80fb181e-66a0-43b1-bf8c-f4fd0c3844b9 · outbound

This paper cites Diagnosing Reinforcement Learning for Traffic Signal Control.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Diagnosing Reinforcement Learning for Traffic Signal Control

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:43.997788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1940899-8f66-4108-9649-04733d518fe5 · outbound

This paper cites Sumo–simulation of urban mobility: an overview.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Sumo–simulation of urban mobility: an overview

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:47.800240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c51f9341-2ddf-4088-ad20-59112af5d43b · outbound

This paper cites Deep Domain Confusion: Maximizing for Domain Invariance.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Deep Domain Confusion: Maximizing for Domain Invariance

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:44.299691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff9d456-f11b-4d38-8721-8a5d80d0c5f6 · outbound

This paper cites Multi-task domain adaptation for deep learning of instance grasping from simulation.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Multi-task domain adaptation for deep learning of instance grasping from simulation

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:47.245529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60dc4c4c-efac-4f4a-a9fb-b9262c912a78 · outbound

This paper cites Reproducible and low-cost sim-to- real environment for traffic signal control.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Reproducible and low-cost sim-to- real environment for traffic signal control

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:46.607401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8982567-4468-45ae-a849-6732fb15d5c4 · outbound

This paper cites A Survey on Traffic Signal Control Methods.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control A Survey on Traffic Signal Control Methods

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:43.637077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2c7b57-88a7-4564-aa6e-04c769adbd8a · outbound

This paper cites Cityflower: An efficient and realistic traffic simulator with embedded machine learning models.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Cityflower: An efficient and realistic traffic simulator with embedded machine learning models

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:47.651773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e61c1c92-5146-46da-be41-d937434ff500 · outbound

This paper cites A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:44.184999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d003557-d148-4915-b2a5-210635d9f5ef · outbound

This paper cites Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:45.361297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0a9956-d3c7-4912-a5e2-19d785b79ba8 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Sim-to-real transfer in deep reinforcement learning for robotics: a survey

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:47.486625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7c3e44c-4346-437a-bfff-dd5477c24a20 · outbound

This paper cites Hanna, Garrett Warnell, and Peter Stone.

Joint-Local Grounded Action Transformation for Sim-to-Real Transfer in Multi-Agent Traffic Control Hanna, Garrett Warnell, and Peter Stone

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:43:46.437155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.