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Paper Citation Record · LEDGER

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2102.04402.

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

pith.paper-citation-record.v1
2102.04402 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:36:02.700762Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

36
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2c4df2d8-7d9d-45c9-b061-ab20c5fe0721 · inbound

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication cites this paper.

PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T00:36:02.700762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:36:02.700762Z digest=sha256:2e0dea9fdd735ceb8f3ca1ff8d5d9cec9ebd702eb4270fd88d51bc1e761dd0cf

Observation f783cab8-ddee-43c6-8f87-9ee6cb80fa7e · inbound

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies cites this paper.

Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T01:06:57.470854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T01:05:17.086399Z digest=sha256:ca81c492da21647b4b14c64da82e9a1383d81530ec003c3486ec551bf53fc3b1

Observation e30ab68b-0b99-4a4b-abaa-fa5fe29b818c · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:50:49.304870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T09:47:47.051969Z digest=sha256:d8223e6258c19d1342e8259013c46c7b598968004a38f2e8c30deb0170cb1865

Observation 56cf1396-b4fb-4307-976d-9a2705902dbe · inbound

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic cites this paper.

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T06:46:39.745037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:46:39.745037Z digest=sha256:6789cf15d7489d5f7f0979c4a78861c14e040cea5932cb7c178872e3a8b548d4

Observation e716a9ef-0c1a-435c-b3c8-188763b25dfa · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:09.683350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T20:10:30.920114Z digest=sha256:10b9096f597a87a2afbf8dc880d3e54b7776583e6ac8ed9289a50bc0b3fc5eee

Observation bd5b1adc-6ab6-407f-b883-65f2e40fe89d · inbound

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization cites this paper.

Pessimism-Free Offline Learning in General-Sum Games via KL Regularization Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:39:13.562305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T23:34:21.091472Z digest=sha256:c7336e53a71ca57f0e2c9ee24c1aeb1f50b4a578e51ad6e8723f23c2678154d4

Observation 60984d7d-4f11-4e08-973b-32b5a461ff15 · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:41:39.785424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T19:27:15.002190Z digest=sha256:855c6635ea5f51235a3f0e206beb2eae398424234017db66e5563f88e460bfc2

Observation aeb48fdf-c840-4679-a610-9cd0ca4e253f · inbound

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent cites this paper.

Fast Rates in $\alpha$-Potential Games via Regularized Mirror Descent Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:39:18.003774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T00:38:53.592229Z digest=sha256:3208d5a64ee53b69507ed3fa08aa490c7a365f0c467e5803ffb3c3d5aa021700

Observation fdb0872e-0459-43d0-a68f-efc94b755aae · inbound

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification cites this paper.

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:31:13.682853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T05:23:18.294600Z digest=sha256:df5947c2cdaf68fa28fc41d7b667eb1665192e09f91d03f4f771dad9e5dbb198

Observation 378b9739-c338-4f01-b327-63223ecb0049 · inbound

Cross-Modal Navigation with Multi-Agent Reinforcement Learning cites this paper.

Cross-Modal Navigation with Multi-Agent Reinforcement Learning Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:31:12.615107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T08:43:54.882467Z digest=sha256:e7d3831b5b85ef0efa2f23d5474832c9aceebd26ab46df0b84ef1496bab573cc

Observation 60ec0953-7c9b-40b4-b287-194e917479dd · inbound

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning cites this paper.

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:15:06.187734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T22:11:35.277901Z digest=sha256:632260081f26f04d5f1cb67c8d5fb09302592ffd5fda68b5bce3a8e43c65325d