Paper Citation Record · LEDGER

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2604.06691.

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

pith.paper-citation-record.v1
2604.06691 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:49:16.391870Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T01:57:09.345452Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact1
verified fuzzy34
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c32eaa3e-f62e-41f7-bb1b-a2566b28f918 · outbound

This paper cites Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: A survey.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Recent advances on cooperative control of heterogeneous multi-agent systems subject to constraints: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.061646Z

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Observation 3ecd65cb-f77b-4ca7-94c6-9cd352bf5f45 · outbound

This paper cites Multiagent meta-reinforcement learning for adaptive multipath routing optimization.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Multiagent meta-reinforcement learning for adaptive multipath routing optimization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.023933Z

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Observation 37b5cf06-2122-4bde-8c88-725baec306bb · outbound

This paper cites Portfolio management with multi-agent reinforcement learning: A role-aware distillation approach.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Portfolio management with multi-agent reinforcement learning: A role-aware distillation approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.038680Z

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Observation c51deb78-5bff-451e-85bd-5692d7181951 · outbound

This paper cites an unresolved cited work.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-16T14:53:01.027363Z

Source-reported events for the cited work

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Observation c59ce0f6-f7e7-411b-99f9-e7e9338bdb65 · outbound

This paper cites Distilling policy distillation, in: The 22nd international conference on artificial intelligence and statistics, PMLR.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Distilling policy distillation, in: The 22nd international conference on artificial intelligence and statistics, PMLR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.020209Z

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.

Observation 0f06bb5f-60a6-44b2-99e1-56b427fa916f · outbound

This paper cites Pdd: Pruning during distillation for efficient multi-agent reinforcement learning, in: Proceedings of the AAAI Conference on Artificial Intelligence.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Pdd: Pruning during distillation for efficient multi-agent reinforcement learning, in: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.045376Z

Source-reported events for the cited work

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Observation 4e01333a-eb08-4ec5-9a9f-80434afa2be3 · outbound

This paper cites Constrained multiagent markov decision processes: A taxonomy of problems and algorithms.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Constrained multiagent markov decision processes: A taxonomy of problems and algorithms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.031014Z

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.

Observation 620ed85c-d2ca-4f34-86ce-cb2a785c7825 · outbound

This paper cites Smacv2: An improved benchmark for cooperative multi-agent reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Smacv2: An improved benchmark for cooperative multi-agent reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.041774Z

Source-reported events for the cited work

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Observation 94b2f84c-24aa-4dc0-8700-90b7a636ec36 · outbound

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

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Learning to communicate with deep multi-agent reinforcement learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.049006Z

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.

Observation 1233c0d0-0773-4775-8080-deaf1a0499f7 · outbound

This paper cites Knowru: Knowledge reuse in multi-agent reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Knowru: Knowledge reuse in multi-agent reinforcement learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.052577Z

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.

Observation 24a3b5fd-c1fc-46c9-ac2c-b53e94ca692f · outbound

This paper cites Reciprocal teacher-student learning via forward and feedback knowledge distillation.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Reciprocal teacher-student learning via forward and feedback knowledge distillation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.056109Z

Source-reported events for the cited work

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Observation 63a283c0-3759-4047-8572-0c77d9b5575c · outbound

This paper cites Multi-agent deep reinforcement learning: a survey.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Multi-agent deep reinforcement learning: a survey

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.058901Z

Source-reported events for the cited work

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Observation 3534a77e-2eea-4d78-9400-beef8161072f · outbound

This paper cites Reinforce- ment learning via auxiliary task distillation, in: European Conference on Computer Vision, Springer.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Reinforce- ment learning via auxiliary task distillation, in: European Conference on Computer Vision, Springer

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.035027Z

Source-reported events for the cited work

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Observation e0b63e47-c03b-4bf5-bc00-4639ce10ad3a · outbound

This paper cites Teacher-Student Architecture for Knowledge Distillation: A Survey.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Teacher-Student Architecture for Knowledge Distillation: A Survey

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:55:49.717350Z

Source-reported events for the cited work

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Observation 1b43e57b-8184-45fd-811b-6acdbcfe4155 · outbound

This paper cites Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:49.712279Z

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.

Observation f57d2226-5f3f-46c2-8495-e26a8c2b629e · outbound

This paper cites Multi-agent reinforcement learning based cooperative content caching for mobile edge networks.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Multi-agent reinforcement learning based cooperative content caching for mobile edge networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.972868Z

Source-reported events for the cited work

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Observation 22966761-785a-4b71-b091-a2adc87391f9 · outbound

This paper cites Double distillation network for robust multi-agent coordination.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Double distillation network for robust multi-agent coordination

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.987474Z

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.

Observation 62779cb9-1261-4209-857a-a61dd3b77443 · outbound

This paper cites Feature-level knowledge distillation for place recognition based on soft-hard labels teaching paradigm.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Feature-level knowledge distillation for place recognition based on soft-hard labels teaching paradigm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.997747Z

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.

Observation 0a76c3ad-24c6-4f1c-84b2-f9ffa6df21e2 · outbound

This paper cites A survey of model compression techniques: Past, present, and future.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning A survey of model compression techniques: Past, present, and future

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.016752Z

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.

Observation a57d7ae2-81cb-40ab-bfab-5971f78da6cc · outbound

This paper cites Fine- grained learning behavior-oriented knowledge distillation for graph neural networks.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Fine- grained learning behavior-oriented knowledge distillation for graph neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.010105Z

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.

Observation 7a153fae-0ff7-4f7c-8187-2f1f6f44c323 · outbound

This paper cites Model compression in multi-agent reinforcement learning via reinforcement learning-guided pruning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Model compression in multi-agent reinforcement learning via reinforcement learning-guided pruning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.994209Z

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.

Observation fea56ce2-129c-4b03-9c1a-57c0508a9792 · outbound

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

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.954763Z

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.

Observation c55a0d99-c47e-4dd7-ac11-b9baf482b7f0 · outbound

This paper cites Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning, in: Conference on Lifelong Learning Agents, PMLR.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Dealing with non-stationarity in decentralized cooperative multi-agent deep reinforcement learning via multi-timescale learning, in: Conference on Lifelong Learning Agents, PMLR

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.948736Z

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.

Observation fc59b8de-28b3-42c8-a6f8-efd25dadca60 · outbound

This paper cites Relational knowledge distillation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Relational knowledge distillation, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.945170Z

Source-reported events for the cited work

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Observation e4533280-18e7-4e83-a720-01568d27b603 · outbound

This paper cites Policy distil- lation for efficient decentralized execution in multi-agent reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Policy distil- lation for efficient decentralized execution in multi-agent reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.957719Z

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.

Observation 0da38ff1-21b7-4dad-bc9b-fe15585ead9e · outbound

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

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.978681Z

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.

Observation 0beab5df-8531-4d25-95c5-ab49885caff3 · outbound

This paper cites an unresolved cited work.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-05-16T14:53:00.984505Z

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Observation dba26887-acc3-42fc-8188-2172c20af1ee · outbound

This paper cites 2085– 2087.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning 2085– 2087

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.990601Z

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.

Observation 88d9c3b3-cb26-4b86-a632-26d445fa0394 · outbound

This paper cites Offline multi- agent reinforcement learning with knowledge distillation.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Offline multi- agent reinforcement learning with knowledge distillation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.981584Z

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.

Observation 82a9e72a-aea3-42ee-901d-045cdf440e24 · outbound

This paper cites Offline multi-agent reinforcement learning via knowledge distillation, in: Advances in Neural Information Processing Systems (NeurIPS).

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Offline multi-agent reinforcement learning via knowledge distillation, in: Advances in Neural Information Processing Systems (NeurIPS)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.003871Z

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

Observation d23af0ff-ec06-4b51-b22f-c379acfdb4e2 · outbound

This paper cites Deep multiagent reinforcement learning: Challenges and directions.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Deep multiagent reinforcement learning: Challenges and directions

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.975816Z

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.

Observation 285a5097-f382-4985-97ca-abe8e46ba511 · outbound

This paper cites A survey of reinforcement learning-driven knowledge distillation: Techniques, challenges, and applications.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning A survey of reinforcement learning-driven knowledge distillation: Techniques, challenges, and applications

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.007059Z

Source-reported events for the cited work

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Observation dec55e71-fb82-4c0a-938e-ecdc38f146d0 · outbound

This paper cites Multi-teacher knowledge distillation with reinforcement learning for visual recognition, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Multi-teacher knowledge distillation with reinforcement learning for visual recognition, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.963935Z

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.

Observation 2236dc27-aa3a-43be-9bb1-0a5aeae251c4 · outbound

This paper cites Beyond the edge: An advanced exploration of reinforcement learning for mobile edge computing, its applications, and future research trajectories.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Beyond the edge: An advanced exploration of reinforcement learning for mobile edge computing, its applications, and future research trajectories

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.967012Z

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.

Observation e76754f1-4c14-4012-a0d3-dbaa9880c9e1 · outbound

This paper cites an unresolved cited work.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Unresolved cited work

Reference 35

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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.

Observation c3881d03-9737-4d19-9d29-fd8d009628b5 · outbound

This paper cites Advances in neural information processing systems 35, 24611– 24624.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Advances in neural information processing systems 35, 24611– 24624

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.960831Z

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.

Observation dab1074c-a1b6-4002-8803-d5d4589dd4ff · outbound

This paper cites Entropy- regularized diffusion policy with q-ensembles for offline reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Entropy- regularized diffusion policy with q-ensembles for offline reinforcement learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.013206Z

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.

Observation c03052ca-790d-498c-a610-0f4b02baabfd · outbound

This paper cites Ctds: Cen- tralized teacher with decentralized student for multiagent reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Ctds: Cen- tralized teacher with decentralized student for multiagent reinforcement learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:00.951806Z

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.

Observation 3c6ba8db-21b5-44c7-91c8-d781db23ef75 · outbound

This paper cites Heterogeneous-agent reinforcement learning.

KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning Heterogeneous-agent reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T14:53:01.000798Z

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.

Pith citing papers

Observation 19ac65cc-f4b6-4ef8-9d62-4a5d1e0f784a · inbound

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination cites this paper.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T01:57:09.345452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.