Paper Citation Record · LEDGER

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2606.05002.

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

pith.paper-citation-record.v1
2606.05002 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T05:58:59.176270Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy0
unresolved13
parse uncertain1
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 188c24e9-9852-41fc-b8cd-3458a75810a2 · outbound

This paper cites Resource allocation in dynamic multiagent systems.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Resource allocation in dynamic multiagent systems

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:36:47.725122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd562229-73ed-4f0e-bbf4-fb8c1dadcd28 · outbound

This paper cites Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, and 1 others.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, and 1 others

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1534c2dc-68cd-4d1f-b4c2-9c6ed7e91dcb · outbound

This paper cites Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Steven Yau, Zijuan Lin, Liyang Zhou, and 1 oth- ers.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Steven Yau, Zijuan Lin, Liyang Zhou, and 1 oth- ers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e33c1a6-66f8-41c9-aa24-5eea366eef13 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 4

Resolution: malformed identifier; local_arxiv, observed 2026-07-02T08:36:47.729220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad0ef2ca-f134-4804-8cc5-e46e2e8464e4 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb4b635d-b073-4974-a20f-d81c792da797 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe1a527-982d-4fdf-961e-ea355d216efc · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a109fa24-09bf-4b49-bbb7-59bc679fd574 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ebe87f-e061-4f9d-8d21-fe875e5b88b8 · outbound

This paper cites When evaluating the judge model, consider all five criteria and analyse whether each identified issue satisfies them.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation When evaluating the judge model, consider all five criteria and analyse whether each identified issue satisfies them

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 474beea8-a225-4b79-83d5-b364c8bc9bb5 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf0043cf-2764-44e6-9cf2-af32e1fc0507 · outbound

This paper cites # Output Format.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation # Output Format

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bee9322-0bc2-4f5f-8e47-2a01a9033c51 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 12

Resolution: parse uncertain; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0edaddc2-649d-458c-8b3a-246bac31b198 · outbound

This paper cites Figure 6: Prompt used for distractor issue generation.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Figure 6: Prompt used for distractor issue generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b1a07a-43d6-49f9-b5aa-d9d6950722aa · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5891d9c-67f1-4ed7-b889-c678243c99ac · outbound

This paper cites Do not omit or repeat any issue.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Do not omit or repeat any issue

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc0e767-6416-467b-a537-a27f9bf71bb7 · outbound

This paper cites an unresolved cited work.

GARL: Game-Theoretic Reinforcement Learning for Multi-Agent Strategic Prioritisation Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T05:58:59.176270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.