Paper Citation Record · LEDGER

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.17914.

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

pith.paper-citation-record.v1
2607.17914 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:41:59.846750Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

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verified fuzzy0
unresolved26
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30e58fb0-f741-4380-9117-2a0a8dd4869c · outbound

This paper cites Tarmac: Targeted multi-agent communication,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Tarmac: Targeted multi-agent communication,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.489769Z

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Observation 0c46239f-cbd3-46ce-ace1-7db234404007 · outbound

This paper cites Learning to communicate with deep multi-agent reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Learning to communicate with deep multi-agent reinforcement learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.523767Z

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Observation 1f81299d-c2ca-4e2c-8fd1-569709906295 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Proximal Policy Optimization Algorithms

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.569363Z

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Observation 913e63b4-75dd-4d54-9d4a-777b76a28f24 · outbound

This paper cites Message-dropout: An efficient training method for multi-agent deep reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Message-dropout: An efficient training method for multi-agent deep reinforcement learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.615448Z

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Observation 700e27f6-9c98-424b-b7ac-7f383e2cde4d · outbound

This paper cites Multiagent cooperative search learning with intermittent communication,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Multiagent cooperative search learning with intermittent communication,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.671650Z

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Observation fc99eea9-f6d4-449f-aadf-9a965b222421 · outbound

This paper cites Multi-agent reinforcement learning for cooperative search under aperiodically intermittent communication,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Multi-agent reinforcement learning for cooperative search under aperiodically intermittent communication,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.721168Z

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Observation 392f2a5d-871b-43d1-a88c-65e2ae69c7ce · outbound

This paper cites Decentralized multi-agent reinforcement learning with global state prediction,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Decentralized multi-agent reinforcement learning with global state prediction,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.764498Z

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Observation 371ec25c-d351-4ae3-a165-d1553feb18e8 · outbound

This paper cites Centralized training with hybrid execu- tion in multi-agent reinforcement learning via predictive observation imputation,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Centralized training with hybrid execu- tion in multi-agent reinforcement learning via predictive observation imputation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.818960Z

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Observation d4cfb415-bee1-4580-9c75-5ec4a5952522 · outbound

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

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss PAGNet: Pluggable Adaptive Generative Networks for Information Completion in Multi-Agent Communication

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.870095Z

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Observation 7e9fee10-4089-4785-9ab4-49c308cff75f · outbound

This paper cites Control of a quadrotor with reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Control of a quadrotor with reinforcement learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.923727Z

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Observation 2f150891-7aab-4ac0-aa5e-e2deaa9314be · outbound

This paper cites Au- tonomous drone racing with deep reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Au- tonomous drone racing with deep reinforcement learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:58.979214Z

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Observation 29dbd7b3-d72c-40ba-bbc1-bea8535b49e6 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Multi-agent actor-critic for mixed cooperative-competitive environments,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.019050Z

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Observation 4b1c5174-084f-47a3-8b7a-9f061afe33d7 · outbound

This paper cites Counterfactual multi-agent policy gradients,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Counterfactual multi-agent policy gradients,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.060872Z

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Observation f2d8d47c-0f25-472c-b0f7-0c2d8c77f54f · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.106624Z

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Observation ef06af3e-8852-4a78-9188-b2c145bad3b3 · outbound

This paper cites Value-Decomposition Networks For Cooperative Multi-Agent Learning.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Value-Decomposition Networks For Cooperative Multi-Agent Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.158511Z

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Observation 8929d889-cc5d-40c2-a785-42366dbdf534 · outbound

This paper cites Learning attentional communication for multi- agent cooperation,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Learning attentional communication for multi- agent cooperation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.229085Z

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Observation 1d5db30f-1980-4a74-a764-5aa11745add9 · outbound

This paper cites R-MADDPG for Partially Observable Environments and Limited Communication.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss R-MADDPG for Partially Observable Environments and Limited Communication

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.285469Z

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Observation 611603f9-498c-4c80-86f4-94c0eac7669b · outbound

This paper cites Online heterogeneous multiagent learning under limited communication with applications to forest fire management,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Online heterogeneous multiagent learning under limited communication with applications to forest fire management,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.328569Z

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Observation 3c5f213e-b70d-473b-84d9-27a8ee0b2377 · outbound

This paper cites Communication in multi-agent reinforcement learning: Intention sharing,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Communication in multi-agent reinforcement learning: Intention sharing,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.362844Z

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Observation ee41880c-f7d8-4231-bca1-cf49438022ab · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.426079Z

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Observation be36c872-27a6-4918-b538-35f27b2a361e · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.525340Z

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Observation 929ec346-10fe-489d-9911-6a23389a4952 · outbound

This paper cites Pettingzoo: Gym for multi-agent reinforcement learning,.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss Pettingzoo: Gym for multi-agent reinforcement learning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.599991Z

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Observation 66d3c32c-1816-4b4a-9da1-ff1b8af3bea8 · outbound

This paper cites State transitions follow semi-implicit Euler integration (dt= 0.1s), where actions apply forces (F= 5.0N), which leads the predictor to model second-order temporal dynamics.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss State transitions follow semi-implicit Euler integration (dt= 0.1s), where actions apply forces (F= 5.0N), which leads the predictor to model second-order temporal dynamics

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.653747Z

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Observation 740730b5-1450-4615-bb7d-525b4dc8d455 · outbound

This paper cites The velocity update is: vt+1 =v t ×(1−0.25) + F m dt(14).

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss The velocity update is: vt+1 =v t ×(1−0.25) + F m dt(14)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.698724Z

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Observation 77c44123-8beb-4fe6-af17-b772d82022bf · outbound

This paper cites When distanced < ri +r j, a100N contact force is applied via a log-sum-exp formulation for differentiable gradients, and these interactions cause high-frequency velocity changes.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss When distanced < ri +r j, a100N contact force is applied via a log-sum-exp formulation for differentiable gradients, and these interactions cause high-frequency velocity changes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.761177Z

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Observation fc3685d6-3e06-42b2-a2b4-e222bfb1ed1e · outbound

This paper cites 6: Extended training performance with MAPPO across varying communication levels wherep∈ {1.0,0.8,0.6,0.4,0.2,0.0}.

Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss 6: Extended training performance with MAPPO across varying communication levels wherep∈ {1.0,0.8,0.6,0.4,0.2,0.0}

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T16:41:59.846750Z

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Pith citing papers

No inbound Pith citation observations are available.