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Paper Citation Record · LEDGER

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2511.02304.

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

pith.paper-citation-record.v1
2511.02304 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:21:03.583344Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T04:01:31.928056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:51:30.454650Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4d27f1b-c50a-4712-ada1-75546735d58c · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-04T00:21:00.103661Z digest=sha256:fa942c8e91444d1e491d0d5b75e87bfaede13423c1dc324ae36f14a0604b001a

Observation 0cc03403-9241-46f7-b67f-e0b198286eb7 · outbound

This paper cites 2018.JAX: composable transformations of Python+NumPy programs.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning 2018.JAX: composable transformations of Python+NumPy programs

Reference 2

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source=pdf_text observed=2026-08-04T00:21:00.170117Z digest=sha256:5f2e5048e5ae8259a3ce5114eedfff383786106a2aceafc7d369cd7a1776b252

Observation ad1613f5-8489-4308-b729-54c97c76b128 · outbound

This paper cites How Attentive are Graph Attention Networks?.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning How Attentive are Graph Attention Networks?

Reference 3

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source=pdf_text observed=2026-08-04T00:21:00.246292Z digest=sha256:5f5fba15f7125f4de9945f8644996b1f2479067e68bf715377e8462abf29973f

Observation 5f4b886c-90d3-46f5-a56e-cb66cfc3f0d8 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 4

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source=pdf_text observed=2026-08-04T00:21:00.300581Z digest=sha256:c23c0a0ae23e39ecd1568a58d33185cfe2a7f7dfb13054a57b1b2746d98c1c6e

Observation 787453ee-081f-402e-98a0-79183a513586 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-04T00:21:00.358071Z digest=sha256:3a08526915927e42dfb29bea5b02cd7066323010125901a3351875bf09471048

Observation 3d47fe62-8d87-4259-b058-9c7baf93a476 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-04T00:21:00.437942Z digest=sha256:1d74366c02d3fafaab9211977dfa40716120045d5130c3014414bbb0d800cf98

Observation 87ed7b9f-2f5c-43df-9ee6-1495f8f43853 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-04T00:21:00.511263Z digest=sha256:770e54663824bbff5c0667598131b7cc5f9f8c52fc7cf16fc05b6bce46265eb6

Observation de68e3b6-5abb-4e8c-998f-c55e2c7b648f · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-04T00:21:00.552020Z digest=sha256:93fd7e15c566d4cd753be3583e9f68486e57efc6c8691e22cc87c936d23ef7d5

Observation b2a3b99f-2acb-4314-8f99-32588736d022 · outbound

This paper cites UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers

Reference 9

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source=pdf_text observed=2026-08-04T00:21:00.608726Z digest=sha256:825960ad9e07c3ed99887c85358675afd51a0b077949d53e602c774a407539bb

Observation 7b53368a-0ff5-44cc-84a4-d3f484e98c41 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 10

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Observation 1a0f4778-cfe2-49c7-939e-98125c691e02 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-04T00:21:00.719483Z digest=sha256:1c1623ec34d754d1c76bdb7b57bcb0d1cc5e81788e7194ba9327e88068455042

Observation b0557c9d-dbb0-4581-9f16-45d2cc02ea83 · outbound

This paper cites DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL

Reference 12

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source=pdf_text observed=2026-08-04T00:21:00.789293Z digest=sha256:1ee6b3f9f31619e1e6c40341be2842f9460b4d488a5bdbf35786ac7965c900a2

Observation e577f17d-6bc0-41c6-a6b2-5e69de4ba296 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T00:21:00.869234Z digest=sha256:f3b372043610907acb346662226acdc38d3b2ea536b3bcf83397616f1726bfd2

Observation e3583293-4a9a-4baf-a95f-10310e355984 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-04T00:21:00.927481Z digest=sha256:93fc3ce6d125d910608cb98b91b399d7e3c7f76bfccf23e21bfb37245d7826de

Observation 312bfa75-5ad3-4e49-941c-98f3d69029db · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 15

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Observation c5e34330-6e0b-451a-9ec8-24624765724e · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 16

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Observation 8de5b782-be76-4472-ace8-106a8cec18d3 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 17

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Observation 568ac978-a94a-48f8-b175-4e2778ffc0bc · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 18

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Observation b4e3f91e-249f-4bf5-a805-6a0b7585e08c · outbound

This paper cites An Evaluation of Massively Parallel Algorithms for DFA Minimization.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning An Evaluation of Massively Parallel Algorithms for DFA Minimization

Reference 19

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Observation 3a788cd1-2e60-4c50-9d64-da01800262a3 · outbound

This paper cites CORD: Generalizable Cooperation via Role Diversity.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning CORD: Generalizable Cooperation via Role Diversity

Reference 20

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Observation e26fa67b-7f4d-49e6-aa8b-3a63d0761d64 · outbound

This paper cites Reward Machines for Cooperative Multi-Agent Reinforcement Learning.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Reward Machines for Cooperative Multi-Agent Reinforcement Learning

Reference 21

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Observation ffd01a02-681f-4670-b57b-939513c8b7f8 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 22

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Observation 38a60525-6520-47b2-aaa0-05c53395e845 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 23

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Observation 3fec932e-d568-4a12-8a32-dee39238aa73 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 24

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Observation a76e6ea1-8702-4070-bd03-d9547862d569 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

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Observation 7675e1e1-f726-44ba-92f7-973a05734151 · outbound

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Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 26

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Observation c2433715-c7f4-43af-a48b-65a216e5f6ed · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

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Observation f096cfc1-6c36-4d45-bbd7-af10563f429f · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

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Observation 112f0a9e-38c4-4268-bcb6-c2e36d04247a · outbound

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Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

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Observation c869fb93-417d-49f3-92de-8a69305b6dc0 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 30

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Observation 0a5362d8-6831-4cf7-bb49-d691651e6ec4 · outbound

This paper cites Klassen, Richard Valenzano, and Sheila A.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Klassen, Richard Valenzano, and Sheila A

Reference 31

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Observation ba0b158c-3a83-4f10-83a7-605cc7e13362 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 32

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Observation f06e6903-d78c-4e98-a7db-7ef921a99d4d · outbound

This paper cites Eventual Discounting Temporal Logic Counterfactual Experience Replay.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Eventual Discounting Temporal Logic Counterfactual Experience Replay

Reference 33

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Observation 12e0db08-1c71-444c-ac63-474092cdf12b · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 34

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Observation f987bf26-8aca-4ee5-90b5-8c2a5ad28a50 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

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Observation 86318a50-b34a-4c11-94e6-18750940a7e2 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 36

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Observation b9c4f051-a999-4b23-98a7-6d43b8c53d6e · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 37

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Observation 270cf4e8-f702-4620-8a2e-6817b87e60aa · outbound

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Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 38

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Observation 0807543a-56bb-4879-8e29-c7a746d259ec · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 39

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Observation f172c7b1-49d1-4917-b26e-0bbbb6a62061 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 40

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Observation 8529c311-423c-4068-92c7-a2403f2ff802 · outbound

This paper cites 𝑛Û 𝑖=1 𝜏|= 𝐿𝑖 A0[𝑖] # =E 𝑠0∼𝜄 A0∼𝜄𝑛 𝐷.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning 𝑛Û 𝑖=1 𝜏|= 𝐿𝑖 A0[𝑖] # =E 𝑠0∼𝜄 A0∼𝜄𝑛 𝐷

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T00:21:03.583344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:21:03.583344Z digest=sha256:bc73f6e2efee8801125c7b53af247004898b14776e8054c7a53e32063ea19c9b

Observation 27cd36bc-eb18-4b5f-9646-35e136f9c2a8 · outbound

This paper cites an unresolved cited work.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning Unresolved cited work

Reference 2022

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unresolved
no resolver link, observed 2026-08-04T00:21:02.208358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:21:02.208358Z digest=sha256:05bba1e3095d745d08061590de0d78454b7cbcdd6bea50596c63ef87dd438223

Observation c4bd1f6e-51f6-4481-ac2a-9685c8b74fd8 · outbound

This paper cites In NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning In NeurIPS 2023 Workshop on Goal-Conditioned Reinforcement Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T00:21:02.846474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:21:02.846474Z digest=sha256:567de6d1d74738782680e1ac2e2de239ac48a5c06060ca57212111bf1f39db70

Observation 2f03d054-10a7-4e81-9ae9-d6ae27cea1f8 · outbound

This paper cites InInter- national Conference on Autonomous Agents and Multiagent Systems.

Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning InInter- national Conference on Autonomous Agents and Multiagent Systems

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T00:21:01.984012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:21:01.984012Z digest=sha256:a9d06879046a04ce2ca3a838edff9c029a4e6e77e35e4e1d50a7639c462545a3

Pith citing papers

Observation afca4ed8-9e6f-47d4-8be8-abf48ec557ba · inbound

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning cites this paper.

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-03T02:05:11.145280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T04:01:31.928056Z digest=sha256:50fc93ec205884034d971548466d782b47a997cba74e7a3feccea51427ae9016