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Paper Citation Record · LEDGER

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.05441.

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

pith.paper-citation-record.v1
2005.05441 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:03:44.956020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:04:06.041655Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 717d9531-3ddf-4399-ad43-15bde1bd414d · inbound

RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents cites this paper.

RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T06:03:44.956020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T06:03:44.956020Z digest=sha256:5d1781200c929fefb50508e6216a843b26e673fa4d3a1ca6a4a01257c8266890

Observation 4e4931ea-edc5-4704-bed3-91639deb3d91 · inbound

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings cites this paper.

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 565

Resolution
unresolved
no resolver link, observed 2026-08-04T22:17:50.338610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:17:50.338610Z digest=sha256:3401340c4adc614571a9fcaf977e8571e2b8f2fa99b7529c700e5b79018ea44d

Observation 463043e7-1b2f-4540-b82b-008219160408 · inbound

Structural Equivalence and Learning Dynamics in Delayed MARL cites this paper.

Structural Equivalence and Learning Dynamics in Delayed MARL Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:46:07.676188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T17:14:48.299305Z digest=sha256:25f7ba5abe569605c930cb208806accb6676e02b86dde37b43d8231018e62945

Observation 428893df-ed9e-4274-be7e-e5a92c071e56 · inbound

Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays cites this paper.

Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:30:22.936475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T05:28:04.999708Z digest=sha256:d27a46481ed9aec57adf397c9d94358d9cd94429a74ef078a9f921ce43de0bcd

Observation 848dd22d-eaf6-42bf-968b-cc911228f50e · inbound

Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward cites this paper.

Scaling up Energy-Aware Multi-Agent Reinforcement Learning for Mission-Oriented Drone Networks with Individual Reward Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:04:06.043173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T23:59:46.054657Z digest=sha256:00d874b367b8dac9b5da7e76cd3e6cb0a12ea640f2e915731220314a7d48194d

Observation 678da8f1-d8a8-42fc-a488-7fcde07315d1 · inbound

Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems cites this paper.

Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:22:51.697935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T00:14:11.665930Z digest=sha256:6375a93af2b05bbe4bc88f6e9669287d3c62530ff8ddd3ae31d1ab84ea165df4