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Paper Citation Record · LEDGER

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2501.01140.

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

pith.paper-citation-record.v1
2501.01140 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:36.779111Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

26 of 26 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db2c3f39-4620-4f79-b554-b98945154c0e · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-10T22:38:36.473524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.473524Z digest=sha256:4a43f7486dae8aa1a5066e3def3d3a2667a671dff723793cab3549c776eb8c40

Observation b0395251-1b83-4714-9a56-d9f0df15e731 · outbound

This paper cites write newline.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning write newline

Reference 2

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no resolver link, observed 2026-08-10T22:38:36.517629Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.517629Z digest=sha256:71bc3f36fc8b33ef06a4fd45c10716430f9639a70fa78f0ad5b1a35c0162eb64

Observation 5b743987-6f10-4982-b798-117a228eafcd · outbound

This paper cites Collaboration Promotes Group Resilience in Multi-Agent RL.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Collaboration Promotes Group Resilience in Multi-Agent RL

Reference 3

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verified exact
local_arxiv, observed 2026-08-10T22:38:36.948932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.522742Z digest=sha256:5f88967f3028df0caa88e9c4ea3b81a0552f1c38145769b6af0b6acb87a18238

Observation be818ec0-6d09-4622-8179-6dbbe1a720d0 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Dota 2 with Large Scale Deep Reinforcement Learning

Reference 4

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source=arxiv_source observed=2026-08-10T22:38:36.527784Z digest=sha256:6a803361a29622f88aa46611c8f679ec3dfeb82525d232b22bc275d3fb73ebd5

Observation 9f9562f4-fbe3-4d81-8708-5cc831cca106 · outbound

This paper cites Towards More Human-like AI Communication: A Review of Emergent Communication Research.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Towards More Human-like AI Communication: A Review of Emergent Communication Research

Reference 5

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verified exact
local_arxiv, observed 2026-08-10T22:38:36.917573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.537241Z digest=sha256:30cd970bd852684c0f84a7f20cc6484e00f0b1853f61d502735904c8f3ec8956

Observation 8308646f-2f04-4f8d-bce1-eb8dbd203f06 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 6

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no resolver link, observed 2026-08-10T22:38:36.542640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.542640Z digest=sha256:2ef73fd10cd146cf5e8b84a8bf2f1b0dd8431b7fac630bf5e6411d3da2bf5f09

Observation 505fbf32-d5b7-4d9e-befd-cf790f36eeb9 · outbound

This paper cites A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

Reference 7

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no resolver link, observed 2026-08-10T22:38:36.547092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.547092Z digest=sha256:dd6ac329b6750e6772f8ab732e743dab4a31d916e30d5f71dc323ea366f4ed29

Observation 14f1bb75-d19c-4aa7-8a11-670d7ac65154 · outbound

This paper cites Z.; and De Freitas, N.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Z.; and De Freitas, N

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T22:38:37.401495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.551740Z digest=sha256:121b6a74b49a8ed6d4d69571ad1be080d7a94be38a30f18756754222eb905b1c

Observation 6230ed12-75b1-4066-9add-994f5bb6b1b7 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.555996Z digest=sha256:ffc0907ee4e82f1443876e084a7b2fbbb07ecea354cff7f8bc35026fa84b2582

Observation e816e211-823b-452b-bc90-70b8abdd02cd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Adam: A Method for Stochastic Optimization

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.560110Z digest=sha256:097741ec445342831c251a251bf47fb02d6292d7de62704b06cb04a99b589917

Observation fb7408ce-37c3-4fbd-94ab-47df22e81e6c · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.564416Z digest=sha256:1bee99b3eb9abad06ec8625d33e867316e3736bca3f4dc525e23f75dcacbfa5d

Observation a60ff779-a76b-4ac4-aadf-6f0373abc632 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-10T22:38:37.359138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.568448Z digest=sha256:fb553720b8a2125745ec2d5471cb6749f1268589cbaaafe52f31a35d1b430497

Observation c53d4496-15cf-4a0b-90be-f2261e0b3aeb · outbound

This paper cites P.; Mirza, M.; Graves, A.; Lillicrap, T.; Harley, T.; Silver, D.; and Kavukcuoglu, K.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning P.; Mirza, M.; Graves, A.; Lillicrap, T.; Harley, T.; Silver, D.; and Kavukcuoglu, K

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-10T22:38:37.347427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.572457Z digest=sha256:a75034e2e683f253a5a79c6f0b24968ff9b1f22a852b0953cfafd96d5a0c7d29

Observation 843822d3-cdd3-4004-aa02-2dc875ddbd3f · outbound

This paper cites A.; Spaan, M.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning A.; Spaan, M

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T22:38:37.333865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.576314Z digest=sha256:81adb7740bb662a40096e116b2ef28da4c2c75a7fe260692d35da42a63d38575

Observation 950c9c9d-40a0-4b68-a390-3907c494525f · outbound

This paper cites Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning

Reference 15

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no resolver link, observed 2026-08-10T22:38:36.581037Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.581037Z digest=sha256:4ac5002744b6359477d25f6a57de056395d2c8ae29dd859f8d441d8d00c0ff2e

Observation b59c4fb2-8a3e-4b2f-b114-89373830a529 · outbound

This paper cites Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.585234Z digest=sha256:b6d0663a07ef34338548c8e9282df87fab59491f98f4eae2a2d8b53dc8186ac3

Observation 9953bf78-8e0e-469f-ae7d-fdf8d10bc256 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-10T22:38:36.655000Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.655000Z digest=sha256:4fad4270b51ae396f5e0e93481aaf7fed9a514047aff69c017a83a09d32129cd

Observation ed21faa9-9351-4720-973d-01a6a2ac2efd · outbound

This paper cites Proximal Policy Optimization Algorithms.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 18

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source=arxiv_source observed=2026-08-10T22:38:36.710311Z digest=sha256:b168bee131be43355d5af207d4764f1797a6553c71d8f962137c66803563c3b2

Observation 11d50dab-777d-4aa6-8079-ca41f1af57fd · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-10T22:38:37.260269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.750710Z digest=sha256:17f00fa4bfe26393b7a75710cf4e787a101a119fee36a24d46bcc001baf2cbc3

Observation d2191c56-3cbd-401a-a726-7af876b5931d · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-10T22:38:36.754316Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.754316Z digest=sha256:417ddb452d89535e3e6e727f5ea1dfca38148232b47dba8c64fa2963e58a5de9

Observation d49a1c87-7391-4239-a1a1-d4569a9968fe · outbound

This paper cites M.; Mathieu, M.; Dudzik, A.; Chung, J.; Choi, D.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning M.; Mathieu, M.; Dudzik, A.; Chung, J.; Choi, D

Reference 21

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unresolved
no resolver link, observed 2026-08-10T22:38:36.758680Z

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Unavailable: canonical work link unavailable.

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Observation 0f004f2d-2d4a-41e9-9aa0-5cd19bb6144f · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Reference 22

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unresolved
no resolver link, observed 2026-08-10T22:38:36.763423Z

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Unavailable: canonical work link unavailable.

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Observation 2aaf596a-964c-4299-8df2-26f89bb5d277 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.768004Z digest=sha256:6044931bf4b0c26ac07c38e08e3acb58c7cd6b842f79e9d8db5b18cffb8e2139

Observation 48404305-680a-402e-9ac6-a6ca976c5609 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-10T22:38:37.029088Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.771945Z digest=sha256:cafd9b188aafc0d1a8b7339c285ebe0826c2e69f2ed0b58830653bd7061abedb

Observation 7d2daf93-7dcc-4407-807e-1612a506cbb7 · outbound

This paper cites an unresolved cited work.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-10T22:38:36.960595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:38:36.775423Z digest=sha256:cafc8663150254aed4d7d935104cff01c906ce30a69de709a61e2929c26c2031

Observation 38ce2feb-afc1-45db-8049-eacc59dfdc0a · outbound

This paper cites A Survey of Multi-Agent Deep Reinforcement Learning with Communication.

Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning A Survey of Multi-Agent Deep Reinforcement Learning with Communication

Reference 26

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no resolver link, observed 2026-08-10T22:38:36.779111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:38:36.779111Z digest=sha256:b84b5d54b7d624e3820f723fc1d074bd233cc83b188c8bdddaf89b6bdc253d15

Pith citing papers

No inbound Pith citation observations are available.