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Paper Citation Record · LEDGER

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2510.18085.

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

pith.paper-citation-record.v1
2510.18085 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:57:22.592638Z

measured 39 of 39 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T16:46:29.650500Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T04:49:34.810229Z

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation c47d84fb-e155-4539-ac0b-bf34fc1d0b56 · outbound

This paper cites Decentralized control of a heterogeneous human–robot team for exploration and patrolling.IEEE Transactions on Automation Science and Engineering, 2021.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Decentralized control of a heterogeneous human–robot team for exploration and patrolling.IEEE Transactions on Automation Science and Engineering, 2021

Reference 1

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source=pdf_text observed=2026-08-04T08:57:19.432419Z digest=sha256:ac1e793b7615c05ac5eaa9c70f47090737e8ae5bbd0e9e000f332bf6c19a311a

Observation 46d5f368-b936-46e7-86d3-87d39297f676 · outbound

This paper cites Mapf-gpt: Imitation learning for multi-agent pathfinding at scale.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Mapf-gpt: Imitation learning for multi-agent pathfinding at scale

Reference 2

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source=pdf_text observed=2026-08-04T08:57:19.548299Z digest=sha256:cea852a2d6406738ca3e43e1de94854d2dea915786eeb2d26de5b30226a729e0

Observation 78b94599-6dbb-4a3f-9123-40fd091edafb · outbound

This paper cites Vmas: A vectorized multi-agent simulator for collective robot learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Vmas: A vectorized multi-agent simulator for collective robot learning

Reference 3

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Observation f86ad048-8d23-45e7-9051-2a042c90c0f2 · outbound

This paper cites Multi-agent imitation learning for driving simulation.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-agent imitation learning for driving simulation

Reference 4

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source=pdf_text observed=2026-08-04T08:57:19.867059Z digest=sha256:5c8c229a240ef98f2441a9583ac41b140e9942348933252affdaed8fbb426e00

Observation 7ea84dcb-7d74-463b-ab20-4982aa6ddd29 · outbound

This paper cites Adaptive task planning for multi-robot smart warehouse.Ieee Access, 2021.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Adaptive task planning for multi-robot smart warehouse.Ieee Access, 2021

Reference 5

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source=pdf_text observed=2026-08-04T08:57:20.000989Z digest=sha256:fe3c9effe82b10ccf8694fe04a5c296cd8fc07963b34879a1125689f4d75d998

Observation 217d83ce-020e-4534-b67f-705e5053e962 · outbound

This paper cites Transformer-based imitative rein- forcement learning for multirobot path planning.IEEE Transactions on Industrial Informatics, 2023.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Transformer-based imitative rein- forcement learning for multirobot path planning.IEEE Transactions on Industrial Informatics, 2023

Reference 6

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Observation ea553e3e-7b66-4542-a554-238fdca017ab · outbound

This paper cites Survey of imitation learning for robotic manipulation.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Survey of imitation learning for robotic manipulation

Reference 7

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source=pdf_text observed=2026-08-04T08:57:20.230446Z digest=sha256:7f5c99d41f47ff7d3b00ff81f1f0b1cc2724a1bfbde43933d84bd398710bd914

Observation ebc2a797-e768-4c53-b667-599acc9542cf · outbound

This paper cites Multi-agent generative adversarial interactive self- imitation learning for auv formation control and obstacle avoidance.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-agent generative adversarial interactive self- imitation learning for auv formation control and obstacle avoidance

Reference 8

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source=pdf_text observed=2026-08-04T08:57:20.350018Z digest=sha256:1a3270ebce21de202e3f80d151c4b0ed76bdf1a61de92a9701325373ce11b301

Observation de0a29da-ba22-412f-90e2-55443d2d0027 · outbound

This paper cites Teleoperation of multi- robot and multi-property systems.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Teleoperation of multi- robot and multi-property systems

Reference 9

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source=pdf_text observed=2026-08-04T08:57:20.472331Z digest=sha256:87665c091405ed2de296cfa14cfd177c21f44a1ece3700d8a840bf1239171267

Observation d83fed2c-f6a2-4106-b177-164696e75ecf · outbound

This paper cites Multi-agent imitation learning based energy management of a microgrid with hybrid energy storage and real-time pricing.IEEE Internet of Things Journal, 2025.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-agent imitation learning based energy management of a microgrid with hybrid energy storage and real-time pricing.IEEE Internet of Things Journal, 2025

Reference 10

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source=pdf_text observed=2026-08-04T08:57:20.602029Z digest=sha256:3c6881dbd23964deeaae3e39373de0b100f00e5c6356a9fac7bfea39ff2a6ac0

Observation e7283654-c0ee-471c-87ce-6726fb291b7b · outbound

This paper cites Applica- tion of multi-robot systems to disaster-relief scenarios with limited communication.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Applica- tion of multi-robot systems to disaster-relief scenarios with limited communication

Reference 11

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source=pdf_text observed=2026-08-04T08:57:20.725728Z digest=sha256:b016795e031087c220190e901b60cdb44043e6fcd7c364667f442b476866f7df

Observation f249b5eb-8fd0-42b1-8425-b118771526e5 · outbound

This paper cites Thriftydagger: Budget-aware novelty and risk gating for interactive imitation learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Thriftydagger: Budget-aware novelty and risk gating for interactive imitation learning

Reference 12

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source=pdf_text observed=2026-08-04T08:57:20.845843Z digest=sha256:ea938b127420ee7fc43e002534c9fadc4e61b79e67a2509bfb58c452c50570b2

Observation c86cd62b-8e71-4acf-a676-6a5aabfc18f1 · outbound

This paper cites Fleet-dagger: Interactive robot fleet learning with scalable human supervision.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Fleet-dagger: Interactive robot fleet learning with scalable human supervision

Reference 13

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source=pdf_text observed=2026-08-04T08:57:20.967152Z digest=sha256:f58f423e6d59957b0cfa52389165a130d15c0cf916b4d219791949d744db498e

Observation d6b15b5b-6b9d-4afa-ba56-68138c5e69ce · outbound

This paper cites Multi-agent decision-making at unsignalized inter- sections with reinforcement learning from demonstrations.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-agent decision-making at unsignalized inter- sections with reinforcement learning from demonstrations

Reference 14

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source=pdf_text observed=2026-08-04T08:57:21.059052Z digest=sha256:d1ac0144aa62306083d526ebb07bba0904ee99da0eb6cb6c281fd39c146650b4

Observation d0c412f5-3c8f-4715-8009-27d841a330ec · outbound

This paper cites From one to many: How active robot swarm sizes influence human cognitive processes.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations From one to many: How active robot swarm sizes influence human cognitive processes

Reference 15

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source=pdf_text observed=2026-08-04T08:57:21.141111Z digest=sha256:5f28d28f2604da93d7ecff78d1243c98f381482a731fbeaba4204f893a6e7fd0

Observation 212f55af-e84e-4f07-91bb-6583c0bfdf64 · outbound

This paper cites Dart: Noise injection for robust imitation learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Dart: Noise injection for robust imitation learning

Reference 16

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source=pdf_text observed=2026-08-04T08:57:21.204213Z digest=sha256:396f14bf8776e1912e9c6c6652bc23ebd6b862a6f2383b3cfa7bf2e4673134db

Observation 5f473fab-1c0a-480c-89e8-43c4d272fc18 · outbound

This paper cites Coordi- nated multi-agent imitation learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Coordi- nated multi-agent imitation learning

Reference 17

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source=pdf_text observed=2026-08-04T08:57:21.253879Z digest=sha256:e378ca52cba3454c8a05ad7f6cf8be1da664a1f5e36b3a039f878a4f4f451793

Observation 5d4dd83a-4548-4600-b93d-150d488c9976 · outbound

This paper cites A two-stage imitation learning framework for the multi-target search problem in swarm robotics.Neurocomputing, 2019.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations A two-stage imitation learning framework for the multi-target search problem in swarm robotics.Neurocomputing, 2019

Reference 18

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source=pdf_text observed=2026-08-04T08:57:21.315211Z digest=sha256:f9ff8b77f0d92b9bf0b4bae24a7d8924b9ecdcb3b1d5be0ce8119938c6e80191

Observation 15ca4b5f-2e08-4416-b8dc-496014aef819 · outbound

This paper cites Collective Behavior Clone with Visual Attention via Neural Interaction Graph Prediction.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Collective Behavior Clone with Visual Attention via Neural Interaction Graph Prediction

Reference 19

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source=pdf_text observed=2026-08-04T08:57:21.378770Z digest=sha256:8dca8b1be4dce3f617a761a11547a1a57c8f152868e56402a09346cd85e872a1

Observation 9bb03ebd-5262-4e06-88ee-7b42a1c8b497 · outbound

This paper cites Controlling assistive robots with learned latent actions.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Controlling assistive robots with learned latent actions

Reference 20

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source=pdf_text observed=2026-08-04T08:57:21.416896Z digest=sha256:6579e23d27044fe3f9ac7227d26a18d75b6faa16b63a184209dc8a44298152c4

Observation ddd3eb5e-fc49-4df3-b9db-2d8b0c47c6f2 · outbound

This paper cites Learn to behave! rapid training of behavior automata.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Learn to behave! rapid training of behavior automata

Reference 21

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source=pdf_text observed=2026-08-04T08:57:21.475924Z digest=sha256:769feb2e52dffac805d439fae56712dead39803e180f199181b3a94433aa544c

Observation 6987f569-4a36-46da-85fa-675aa3f61a81 · outbound

This paper cites Inverse factorized soft q-learning for cooperative multi-agent imitation learning.Advances in Neural Information Processing Systems, 2024.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Inverse factorized soft q-learning for cooperative multi-agent imitation learning.Advances in Neural Information Processing Systems, 2024

Reference 22

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source=pdf_text observed=2026-08-04T08:57:21.527270Z digest=sha256:b6d60fae1e19a04ee230778b5f1e834d1967636ac54b7f1cd0e35d99ca03c108

Observation 407f9665-5b72-4e17-b094-6ff9a04f3eeb · outbound

This paper cites Discovery and deployment of emergent robot swarm behaviors via representation learning and real2sim2real transfer.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Discovery and deployment of emergent robot swarm behaviors via representation learning and real2sim2real transfer

Reference 23

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source=pdf_text observed=2026-08-04T08:57:21.579481Z digest=sha256:5bcb7850ee572eb0fc15778a23a0343d4d78f013bb68a072f1eb9480987ea8d7

Observation ddc4c9d2-6a7b-471b-9c79-2eda2e35f278 · outbound

This paper cites Transparency in Multi-Human Multi-Robot Interaction.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Transparency in Multi-Human Multi-Robot Interaction

Reference 24

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source=pdf_text observed=2026-08-04T08:57:21.638126Z digest=sha256:6e7dd161d6cedc9f01ea21a169f109d19fe95b56040115402a8c5ac8faeabfd4

Observation 7d161b82-257a-420b-b863-d8b9decbcb36 · outbound

This paper cites Diffusion- based multi-agent reinforcement learning with communication.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Diffusion- based multi-agent reinforcement learning with communication

Reference 25

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source=pdf_text observed=2026-08-04T08:57:21.687636Z digest=sha256:2bc766b3e0f204bba63895fb757d90acc7f8e4148b33c26659d0d488c6953b30

Observation 5b879832-faa6-4389-9d26-2ef8b1a3d526 · outbound

This paper cites Collaborative multi- robot search and rescue: Planning, coordination, perception, and active vision.Ieee Access, 2020.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Collaborative multi- robot search and rescue: Planning, coordination, perception, and active vision.Ieee Access, 2020

Reference 26

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source=pdf_text observed=2026-08-04T08:57:21.765623Z digest=sha256:951ecf6f489a37e78355d36af5b85f8829410cc87f7307cdfa746f11b550d589

Observation 86e53e1c-eef1-405e-954f-962fb66ec814 · outbound

This paper cites Hero 2.0: A low-cost robot for swarm robotics research.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Hero 2.0: A low-cost robot for swarm robotics research

Reference 27

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source=pdf_text observed=2026-08-04T08:57:21.848985Z digest=sha256:d39ab77e240f8a0c86ba68986351447333c589838029b28da17e35db1647fbfd

Observation 7883979b-1076-4ff2-82ee-8427a5618ed2 · outbound

This paper cites Efficient reductions for imitation learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Efficient reductions for imitation learning

Reference 28

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source=pdf_text observed=2026-08-04T08:57:21.904140Z digest=sha256:901c36ca8c3d8b22bf401adb24a92aa6f6091bcb3639034821b90d3c07e253bf

Observation 8f0ccefb-4af3-48e7-819e-43424bbdb7d6 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations A reduction of imitation learning and structured prediction to no-regret online learning

Reference 29

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source=pdf_text observed=2026-08-04T08:57:21.981891Z digest=sha256:bfd013529fe609961093cd998d462e9437baf9ec11a617879b6563e58e647c6f

Observation f1571c28-db55-4086-8aef-307a33fd6ae9 · outbound

This paper cites Multi-robot persistent surveil- lance with connectivity constraints.IEEE Access, 2020.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-robot persistent surveil- lance with connectivity constraints.IEEE Access, 2020

Reference 30

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source=pdf_text observed=2026-08-04T08:57:22.064633Z digest=sha256:37078a3814e50718b64b308d040793135fb9e754b2b39b9cb264982084516386

Observation f1ada6b5-62b7-4c8c-93d4-51e131034e1e · outbound

This paper cites Proximal Policy Optimization Algorithms.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Proximal Policy Optimization Algorithms

Reference 31

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source=pdf_text observed=2026-08-04T08:57:22.167565Z digest=sha256:9acc24edad8139c10c17bf824c13cb053c4d0e81dc32dd0b02a3a83c51151e15

Observation 53f10039-feec-430b-bf63-d55cde9bd1a3 · outbound

This paper cites Multi- agent generative adversarial imitation learning.Advances in neural information processing systems, 2018.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi- agent generative adversarial imitation learning.Advances in neural information processing systems, 2018

Reference 32

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source=pdf_text observed=2026-08-04T08:57:22.221070Z digest=sha256:4996f376406c21b1e1058fe3b5fe5370d303951a06065833305be8726295f667

Observation f55fb283-f08f-41a1-8156-984842905458 · outbound

This paper cites Lfd training of heterogeneous formation behaviors.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Lfd training of heterogeneous formation behaviors

Reference 33

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source=pdf_text observed=2026-08-04T08:57:22.262070Z digest=sha256:561b6dfd1f3af3fb5a86c96702bddb82d089adb7e8e8f650531e928e410e39ee

Observation 189e6021-4beb-4166-92dc-9daf27d67043 · outbound

This paper cites Fast multi-robot motion planning via imitation learning of mixed-integer programs.IFAC-PapersOnLine, 2021.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Fast multi-robot motion planning via imitation learning of mixed-integer programs.IFAC-PapersOnLine, 2021

Reference 34

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source=pdf_text observed=2026-08-04T08:57:22.310775Z digest=sha256:5b3c7a167f0568b7059699c1a0e69f3531ac9046e59af56d6ce5fe6a76f3260d

Observation 3032f155-e919-4f94-a92d-fe5115142a7c · outbound

This paper cites Multi-agent imitation learning: Value is easy, regret is hard.Advances in Neural Information Processing Systems, 2024.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Multi-agent imitation learning: Value is easy, regret is hard.Advances in Neural Information Processing Systems, 2024

Reference 35

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source=pdf_text observed=2026-08-04T08:57:22.389178Z digest=sha256:b11474b10509ebd5b665f3267fae2293c901db073dd21beab01c92ae2fb3a1bd

Observation 95b2d221-2c0b-46ba-b8bc-3cd86cd175be · outbound

This paper cites Reducing cog- nitive load in teleoperating swarms of robots through a data-driven shared control approach.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Reducing cog- nitive load in teleoperating swarms of robots through a data-driven shared control approach

Reference 36

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source=pdf_text observed=2026-08-04T08:57:22.472930Z digest=sha256:bea742af6dfd43dba82a901a58d1e156ff64726419942be1c285c13580b6b346

Observation 20ad99d2-5b36-4fcb-9dc5-922cffb71437 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games.Advances in neural information processing systems, 2022.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations The surprising effectiveness of ppo in cooperative multi-agent games.Advances in neural information processing systems, 2022

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:22.538532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:22.538532Z digest=sha256:94df658cfd667491ef893960cb6a9f04b59e1a56f55ddf173d6f7d502e021c50

Observation c8d84585-adcb-477b-aa69-10e009800c2c · outbound

This paper cites Clone swarms: Learning to predict and control multi-robot systems by imitation.

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations Clone swarms: Learning to predict and control multi-robot systems by imitation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T08:57:22.592638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:57:22.592638Z digest=sha256:bd147f2c3d7e5361ef1326385374232c61ccd2cd08b4c885159759b262248209

Pith citing papers

Observation 6f8ffcb9-ee27-46df-84af-3b0bf3870a98 · inbound

Duet: Dual-Robot Understanding via Efficient Teaching cites this paper.

Duet: Dual-Robot Understanding via Efficient Teaching R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-04T04:49:34.812033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T16:46:29.650500Z digest=sha256:5e63b5778b94cd6af45f4bbcffe007089f6099784d0757813b6b51f41e141939