Paper Citation Record · LEDGER

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.09587.

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

pith.paper-citation-record.v1
2607.09587 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

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

measured 31 of 31 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 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

31 of 31 outbound references displayed

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verified fuzzy0
unresolved31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 77b647ba-05b4-4218-b464-79047108cdb6 · outbound

This paper cites Coped-advancing multi-robot collaborative perception: A comprehensive dataset in real- world environments,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Coped-advancing multi-robot collaborative perception: A comprehensive dataset in real- world environments,

Reference 1

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

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Observation 8aeee9da-6b7a-415b-a1af-d7b4afd7115b · outbound

This paper cites H2gnn: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination H2gnn: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments,

Reference 2

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

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Observation e0fb9007-1f65-4f2d-be53-b13329c257f8 · outbound

This paper cites Heterogeneous multi-robot cooperation with asynchronous multi-agent reinforcement learning,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Heterogeneous multi-robot cooperation with asynchronous multi-agent reinforcement learning,

Reference 3

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

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Observation 6aaca7ac-65b6-41ec-b3d6-e6c9be591598 · outbound

This paper cites an unresolved cited work.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Unresolved cited work

Reference 4

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

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Observation 965d8b34-e2ee-4dbe-9d4b-4e3022ead8f7 · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Multi- agent actor-critic for mixed cooperative-competitive environments,

Reference 5

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

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Observation 54c739c8-a37c-43f7-b230-8a023fd9c991 · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 6

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

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Observation 03aaa1a1-c48b-4b8b-92d4-8d68559ae76a · outbound

This paper cites ARBoids: Adaptive residual reinforcement learning with boids model for cooperative multi-USV target defense,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination ARBoids: Adaptive residual reinforcement learning with boids model for cooperative multi-USV target defense,

Reference 7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272afeda-192a-4434-8d3b-8dd209ec41fa · outbound

This paper cites A survey of underwater multi-robot systems,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination A survey of underwater multi-robot systems,

Reference 8

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

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Observation 49a28e45-6c36-40e3-9b71-89a6a6a02e6a · outbound

This paper cites Multi-robot systems and cooperative object transport: Communications, platforms, and challenges,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Multi-robot systems and cooperative object transport: Communications, platforms, and challenges,

Reference 9

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ab24d0-d7b8-490d-be30-18eb9f1b9080 · outbound

This paper cites A new learning paradigm: Learning using privileged information,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination A new learning paradigm: Learning using privileged information,

Reference 10

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

Source-reported events for the cited work

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Observation ef0fa655-4b92-46db-bbc5-79047eaa0606 · outbound

This paper cites Learning by cheating,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Learning by cheating,

Reference 11

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

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Observation 72dd0426-fcf2-4769-b60e-63d208ff4254 · outbound

This paper cites RMA: Rapid motor adaptation for legged robots,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination RMA: Rapid motor adaptation for legged robots,

Reference 12

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

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Observation faf0c440-3ad4-466e-b69d-a291cfe8751e · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 13

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

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Observation b6095ee4-20c3-461e-96a5-8852f1bffc3d · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination The surprising effectiveness of PPO in cooperative multi- agent games,

Reference 14

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

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Observation d1577c8f-315e-4e1c-a94d-fcd8d045f2d2 · outbound

This paper cites Denoising diffusion probabilistic models,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Denoising diffusion probabilistic models,

Reference 15

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

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Observation 2d1dd3ce-b493-4007-a682-b4fa1db18bb4 · outbound

This paper cites Denoising diffusion implicit models,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Denoising diffusion implicit models,

Reference 16

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

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Observation e937c155-3f6e-45e4-a092-6605824f9d42 · outbound

This paper cites Learning multiagent commu- nication with backpropagation,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Learning multiagent commu- nication with backpropagation,

Reference 17

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

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Observation 12f66295-287f-4654-9f11-342d37c03d48 · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Learning to communicate with deep multi-agent reinforcement learning,

Reference 18

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

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Observation 5f817373-8adf-4f06-b21e-907271f73fbe · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination TarMAC: Targeted multi-agent communication,

Reference 19

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

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Observation 4e64a920-bd6a-4775-94ef-0c08ad25edb1 · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Learning attentional communication for multi-agent cooperation,

Reference 20

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

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Unavailable: canonical work link unavailable.

Observation d782bbad-9833-472f-bb93-c18802a51036 · outbound

This paper cites Off- belief learning,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Off- belief learning,

Reference 21

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

Source-reported events for the cited work

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Observation 98c320f4-9412-4a5e-a6f3-798ed85aef72 · outbound

This paper cites Heterogeneous-agent reinforcement learning,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Heterogeneous-agent reinforcement learning,

Reference 22

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

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Unavailable: canonical work link unavailable.

Observation d80187a9-6ae2-4ad9-96fe-15b0b51be731 · outbound

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

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination CTDS: Cen- tralized teacher with decentralized student for multiagent reinforcement learning,

Reference 23

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

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

This paper cites KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning.

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

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Observation 9c28ed1b-83bb-4e30-93bc-677a86e952dd · outbound

This paper cites Interactive distillation for cooperative multi-agent reinforcement learning,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Interactive distillation for cooperative multi-agent reinforcement learning,

Reference 25

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

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Observation faf011d5-7ac8-4017-bb1f-ed6e1f0a68fd · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Planning with diffusion for flexible behavior synthesis,

Reference 26

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

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Observation 60ffaa10-3102-4c8e-8825-93236a1e3da1 · outbound

This paper cites MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies

Reference 27

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

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Observation dc75b060-e4a5-4bba-945e-75fcc97dbd45 · outbound

This paper cites Learning phrase representations using rnn encoder– decoder for statistical machine translation,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Learning phrase representations using rnn encoder– decoder for statistical machine translation,

Reference 28

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

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Observation ccf3ceed-f524-48e3-b530-a642ba9830fe · outbound

This paper cites A connection between score matching and denoising au- toencoders,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination A connection between score matching and denoising au- toencoders,

Reference 29

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

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Observation 1ec9508b-06f9-41aa-b4a8-2e16487dfd04 · outbound

This paper cites Score-based generative modeling through stochastic differ- ential equations,.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination Score-based generative modeling through stochastic differ- ential equations,

Reference 30

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

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Observation d32858d5-3d45-4f1e-b97d-adb428f643a0 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 31

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

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Pith citing papers

No inbound Pith citation observations are available.