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Paper Citation Record · LEDGER

Multi-agent Embodied AI: Advances and Future Directions

As of 19 August 2026, this Paper Citation Record lists 100 of 273 outbound references and 22 inbound Pith citation observations for arXiv:2505.05108.

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

pith.paper-citation-record.v1
2505.05108 v2

Coverage vector

measured 100 of 273 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:15.623716Z

measured 122 of 122 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:47:20.011250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.949532Z

Reference resolution

100 of 273 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 083d5df4-8ff3-4e0c-afa5-8a2880c771c3 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-15T23:16:15.310144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.310144Z digest=sha256:235f2ad0c83d830b726830c2a5f2c18aca9421e63dc5f2761d15059f9eb98134

Observation dfb95b3f-6c1c-46d8-938e-35674d42feb3 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-15T23:16:15.314551Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.314551Z digest=sha256:7f8cb801befaacfcb0a0046a69f76e122ac4f04cd8279332df218eb41023458b

Observation 665d4dda-d0fc-450b-905f-a9f7bf7f5ceb · outbound

This paper cites An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning.

Multi-agent Embodied AI: Advances and Future Directions An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.318064Z digest=sha256:243ba8878c80e0d958bd0ecf82e60d41f315ae4cddd5d720e87c2cbe3e349e01

Observation a2d2ca80-9b23-424e-a3ca-c1515769d612 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-15T23:16:15.321405Z digest=sha256:a37c95b3a3cb3879e877e27ac9d764c74bbdbdf5ff43b81d5a544b30b4833dd4

Observation 7a47e959-e301-4a25-89d8-45ecddd17043 · outbound

This paper cites Schoellig, and Raffaello D’Andrea.

Multi-agent Embodied AI: Advances and Future Directions Schoellig, and Raffaello D’Andrea

Reference 5

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source=pdf_text observed=2026-08-15T23:16:15.324670Z digest=sha256:88a5c17fec0cba65a0639fa4f5d4bcbc72a3ec4639037daaea94edd472886304

Observation 33a6e540-3627-4059-b436-8745e9a10644 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-15T23:16:15.327591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.327591Z digest=sha256:8c6a6d7df5dfe597ea10faa7e82a647473d764a4b920a308e85fd6928adb7472

Observation 48beb489-bc2e-4175-ad0d-778b12830706 · outbound

This paper cites RT-H: Action Hierarchies Using Language.

Multi-agent Embodied AI: Advances and Future Directions RT-H: Action Hierarchies Using Language

Reference 7

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no resolver link, observed 2026-08-15T23:16:15.330751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.330751Z digest=sha256:86b7176f801ff8fd3dc26b4d8248a532e7968af5d206a280409e0267cbbd47a2

Observation 57c7d92d-fe1d-4242-9a6c-364fde6cf316 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Multi-agent Embodied AI: Advances and Future Directions Dota 2 with Large Scale Deep Reinforcement Learning

Reference 8

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source=pdf_text observed=2026-08-15T23:16:15.334346Z digest=sha256:bbdfd43d9dd97bdc28dcd3050420b0129a4442af53c02f3a544ad4c7093d9b58

Observation cfedb146-d54d-4cfc-bb1b-1b7532ecd58e · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-15T23:16:15.337992Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:16:15.337992Z digest=sha256:88e7443492a96ec342d9a1ff6fd746f85e0dbb181ad8781caa5e98c89a52160a

Observation 431e74e9-e618-47da-9db5-75a3be34318d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-15T23:16:15.341293Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:16:15.341293Z digest=sha256:e7e45e887c18a9c47eefe7bd20b0ea2019b07552feaa9d92d84391ff6a6e5d96

Observation a4480047-94a7-441e-9ddd-6753404d2912 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Multi-agent Embodied AI: Advances and Future Directions GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 11

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source=pdf_text observed=2026-08-15T23:16:15.344725Z digest=sha256:30bc091a3aab97fbf555ed75aa3635b676d02d29a535c8872437b3ee72c84233

Observation 1a40d9c2-77f3-4d74-9716-6f49f5f3f583 · outbound

This paper cites The Cambridge RoboMaster: An Agile Multi-Robot Research Platform.

Multi-agent Embodied AI: Advances and Future Directions The Cambridge RoboMaster: An Agile Multi-Robot Research Platform

Reference 12

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source=pdf_text observed=2026-08-15T23:16:15.348330Z digest=sha256:50a0e32f0efd69b9e7f7ef4d06e704990f99a78fed4f950b6ef9bc59f650d0ef

Observation 1695cfcb-0bed-4c50-96a3-2a774d69ad8b · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.352239Z digest=sha256:7298a6955bf706fd8b643142945a39812c5534dcc46af4f568dc604f76ce198e

Observation 47ee8dba-a794-4e60-b75e-f70e28f2283d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.355275Z digest=sha256:1927c2dcfc2f19ad05fabf1bb90178c4a66de4689f171f50b38f0ea8762d5649

Observation 0481a732-43c9-4e66-a05a-24bc5da14cba · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-15T23:16:15.358783Z digest=sha256:1405eddc7693c607f1abbabb83bd15026c107a4e9b5bca1f727612b02972ab7a

Observation 77a92176-4bde-4ee2-9c1a-85a20d91809b · outbound

This paper cites OpenAI Gym.

Multi-agent Embodied AI: Advances and Future Directions OpenAI Gym

Reference 16

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source=pdf_text observed=2026-08-15T23:16:15.362032Z digest=sha256:c9afc0f11aa774dc4118049c996c3c9e37d1b0998c5aff0b0d24390902137566

Observation 375f370e-edf5-42c4-97d2-b7a0d8467aa1 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-15T23:16:15.365744Z digest=sha256:fc6002b65650b93b78b1598fc2efc6787d4d41fe73d1077f99d74c458c49a23c

Observation ed33cd77-1e4b-4611-9f93-1e8e9b11ebe6 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.368819Z digest=sha256:29aa8675ac310e395d98dad692e9305d79029adcc0927c3fcd05990595e43ce7

Observation 22dd5b41-8c46-4543-b1cf-e9d3537035cd · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-15T23:16:15.371739Z digest=sha256:f4da89e2749d4743810313002f77fc28b77b9fb88a53cfa6f9dbe76d96e5b942

Observation e09332b3-da8f-4da1-b353-55689a64852e · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.374342Z digest=sha256:c1fed6acac07717386e16b1d89560f7cea8eb7d468d5d8a31ba93e3fb033417f

Observation 6edb2726-c209-47eb-9cab-02c00a7dd53a · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-15T23:16:15.377057Z digest=sha256:493a11eecce8c72e8ac6c0c88b194ddf6f65268168b0d4ae8d3a8370670cc45b

Observation 3e7e13c9-5691-4e22-867a-18541724d723 · outbound

This paper cites Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned.

Multi-agent Embodied AI: Advances and Future Directions Cooperative Aerial Robot Inspection Challenge: A Benchmark for Heterogeneous Multi-UAV Planning and Lessons Learned

Reference 22

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source=pdf_text observed=2026-08-15T23:16:15.379621Z digest=sha256:a147fd31456f424b1b55406c4dab941e44e9d84d5f7c2dc8e12f44e70038caac

Observation 5d7f65ee-d436-405c-9d4e-90f27f5243d3 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.382786Z digest=sha256:fbcfa7b773e212ec10ee2ddab40668e3dfdf47e6752b67a8f3a7e45c5d05c7b4

Observation 1ea48059-b2dc-47b7-b6ed-a290ac9d65d9 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-15T23:16:15.385921Z

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source=pdf_text observed=2026-08-15T23:16:15.385921Z digest=sha256:1784dd51a2aee452d745954d4a88e69a994bb9cb2a6db5c6d73a6d59182d8d7c

Observation 72847b34-3920-49c2-bcc2-2f431b505ead · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:16:15.388598Z digest=sha256:dd3c2d9d8f04cc82d50ae6616c175f1da6bfde381fdc7cce9b5777611206b6c1

Observation f794bec6-1f88-4c74-a857-2020a754fa1d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-15T23:16:15.391617Z digest=sha256:0d7388be3aa090f3badc397b7b29011901ae0e0472e50c7a0c39207bab139722

Observation e6847ec2-23d6-4ae9-a7ae-cbc33eaa53c1 · outbound

This paper cites Multi-Agent Consensus Seeking via Large Language Models.

Multi-agent Embodied AI: Advances and Future Directions Multi-Agent Consensus Seeking via Large Language Models

Reference 27

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source=pdf_text observed=2026-08-15T23:16:15.395208Z digest=sha256:36dd751a877344782842e79040883267dc1e6075b915cb213d27ef1b951e798c

Observation 23e57945-f441-4d5f-ad89-93749be7828e · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-15T23:16:15.399126Z digest=sha256:5c557a14e2fe03f7754835a55f946b820329b2ed97708f887f431483173e1d1c

Observation 11d086c2-4218-4d6b-a7aa-2c36ec8c0f20 · outbound

This paper cites Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

Multi-agent Embodied AI: Advances and Future Directions Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

Reference 29

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no resolver link, observed 2026-08-15T23:16:15.401883Z

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source=pdf_text observed=2026-08-15T23:16:15.401883Z digest=sha256:dd0d99b7a022b7ccb504572ea18d44a5a88a3d963fe1bbb361807cb5a8e1b26d

Observation 38022a7d-506d-4ccd-aa19-61ae24a230e1 · outbound

This paper cites Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet.

Multi-agent Embodied AI: Advances and Future Directions Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet

Reference 30

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source=pdf_text observed=2026-08-15T23:16:15.405544Z digest=sha256:cf5c18e2b0ec5aac80d2531356f84c66f7eb213d494ae36757cbfe5b45dd06e8

Observation 9b800757-e4c8-4256-be1b-0231bb81bc49 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-15T23:16:15.409469Z

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source=pdf_text observed=2026-08-15T23:16:15.409469Z digest=sha256:b2ca1d7ee3f2819e8653aee8515196013673e77c5d1057f236118989128082de

Observation bd68b17c-0d3e-4941-9785-c660c43d028a · outbound

This paper cites PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding.

Multi-agent Embodied AI: Advances and Future Directions PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Reference 32

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source=pdf_text observed=2026-08-15T23:16:15.412406Z digest=sha256:d4ad7c2c2aa9f635ffb9e9e52f65783b38886d34aa6697228e30062582dd837d

Observation 620f8882-3efa-4f15-8863-02394d8d0848 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-15T23:16:15.415643Z digest=sha256:6127b6719f9900bbb8fa45db9140bd1ac14723e9e746a82f506a416b0d7c9e7c

Observation dac98200-d686-4dbe-895a-2dbe94fdd2f7 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-15T23:16:15.418282Z digest=sha256:de06e380374a22d2d1298ef7bb2710a6b868ac1edf65ea24c1cf5418414746f6

Observation 83fe0423-842f-44d3-98e8-e594cd6b6044 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-15T23:16:15.420829Z digest=sha256:fa7bf6f18796f374983db866f659b4b7194bcc8b6bbd86fd5a38f63a38b6aa39

Observation 7fe07c8a-391e-4d63-98c0-4422ad60c576 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-15T23:16:15.426138Z digest=sha256:4cccec2ea37ffb4253567c67c7a15597a46b21079b832171e172fc3cb3c42aa1

Observation e41abe56-66d4-4eae-b641-b885c469f342 · outbound

This paper cites Kanhere, and Raja Jurdak.

Multi-agent Embodied AI: Advances and Future Directions Kanhere, and Raja Jurdak

Reference 37

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source=pdf_text observed=2026-08-15T23:16:15.428611Z digest=sha256:5b082fd7df32d88efe0f95371eabe34358ba0233bdf79ea13a49dec140592bae

Observation 6e683896-3f90-4517-8b31-4d407f0996f6 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-15T23:16:15.431576Z digest=sha256:6596e73faf763a03447b73767a72ce643c205870d81368d0681da7dac06d197d

Observation 8c43de63-9fc9-4f23-8a78-e451506f2729 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 39

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source=pdf_text observed=2026-08-15T23:16:15.434863Z digest=sha256:69510ffe4d73a278f5fa29622a67e7068784c83c1a991ad66986b986efeb4310

Observation 35070e5b-0259-478f-94d4-8c8d0e1ac8ca · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 40

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Observation 0bfd239c-9ed9-43f6-ab65-e21123d54f9a · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 41

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Observation 06bbd9fa-e7df-4f2a-801b-c33c4472ba0d · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 42

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Observation ff61ecab-574f-4bf3-ae52-d45f0d275de7 · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 43

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Observation 54b10c7c-c9ca-48d4-b4a5-946c44a0994f · outbound

This paper cites RoboCup Rescue 2025 Team Description Paper UruBots.

Multi-agent Embodied AI: Advances and Future Directions RoboCup Rescue 2025 Team Description Paper UruBots

Reference 44

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source=pdf_text observed=2026-08-15T23:16:15.453342Z digest=sha256:8d8d50e86ef9124298a50538a822e6fd6d70ff722c22c3d4cc3f819c1663c881

Observation eb7773c2-bd82-4ea7-b967-9c1da089be70 · outbound

This paper cites Hierarchical principles of embodied reinforcement learning: A review.

Multi-agent Embodied AI: Advances and Future Directions Hierarchical principles of embodied reinforcement learning: A review

Reference 45

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source=pdf_text observed=2026-08-15T23:16:15.450104Z digest=sha256:9ea5089d127d16e686ff1ec44c479e23407a637e49a4d34a75a4c6e6741653eb

Observation ba7722ce-b1bc-4af7-bb55-76e289f6476e · outbound

This paper cites Large Language Model-based Human-Agent Collaboration for Complex Task Solving.

Multi-agent Embodied AI: Advances and Future Directions Large Language Model-based Human-Agent Collaboration for Complex Task Solving

Reference 46

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Observation 9b572369-bc34-499c-8129-036c78f65ae5 · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 47

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Observation a393470b-d594-4eb2-89b5-deda30ea939d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 48

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Observation 8f4fd4e1-755c-44aa-b0f2-a9194a8fe533 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 49

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Observation 1c47b961-c493-416b-8602-f080900a3cda · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-15T23:16:15.465548Z digest=sha256:f952ddc059fe9a294e65c6d776859d2b6b0f5796a57059d6d7d33f3080df3fde

Observation 41cda031-0feb-438e-8f7e-70f1181c0b80 · outbound

This paper cites Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues.

Multi-agent Embodied AI: Advances and Future Directions Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues

Reference 51

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Observation 12a393e3-dbcb-46a8-ab67-eaf1192b6a68 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-15T23:16:15.480180Z digest=sha256:b9f44c3d50876944b2fb709a1c66081c7a310b05834aeff858fc9eaa93d95f48

Observation a26d2e2f-dc5f-4f6c-a019-01a910c36f41 · outbound

This paper cites Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing.

Multi-agent Embodied AI: Advances and Future Directions Euclidean and non-Euclidean Trajectory Optimization Approaches for Quadrotor Racing

Reference 53

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Observation 0aff188b-14dc-4e45-8cea-3368e3708c5b · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 54

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Observation 239547fd-ad97-48d8-bbf5-d01fbf523e99 · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 55

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Observation fbfc3b5f-c6c8-4d35-9673-70fc49442723 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 56

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Observation fc104f9d-91aa-4ba7-a004-0795c6ab1a2d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 57

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Observation cafe9837-5fa6-4a03-8e1b-c79cf494f8cf · outbound

This paper cites Sukhatme.

Multi-agent Embodied AI: Advances and Future Directions Sukhatme

Reference 58

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Observation 8f6a0417-1382-41fe-b3bd-099fcbacd35e · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 59

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Observation 9f342087-917b-4d19-9de4-df9076dcbba5 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 60

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Observation b87d525d-aae3-4a34-9bc1-67e5954bd8f7 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-15T23:16:15.507794Z digest=sha256:71c01fc0e1489b4a1f4bf636607c22dbf6d4c48356dcf63c1b1ec56dfccf9f46

Observation 7edd7447-eedc-40b8-9add-41425e801795 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 62

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Observation d6b38832-1dfd-4959-a6e6-f04b535cb018 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Multi-agent Embodied AI: Advances and Future Directions Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 63

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Observation 73649c47-b4ad-442c-b414-6323721cdc53 · outbound

This paper cites Griffiths, and Mengdi Wang.

Multi-agent Embodied AI: Advances and Future Directions Griffiths, and Mengdi Wang

Reference 64

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source=pdf_text observed=2026-08-15T23:16:15.517908Z digest=sha256:42e3d05261d928940ca290dbc5eb56f9ff42d1ac8682904b339b7fef8f400f8f

Observation 44714b25-f8ce-4f29-9803-51a85e1f7448 · outbound

This paper cites Efficient Human-AI Coordination via Preparatory Language-based Convention.

Multi-agent Embodied AI: Advances and Future Directions Efficient Human-AI Coordination via Preparatory Language-based Convention

Reference 65

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source=pdf_text observed=2026-08-15T23:16:15.510241Z digest=sha256:ad8eb254ca4f88518ee827a5b417bc0fcb6b7a6cd4105b32096b4b801da79758

Observation a798774f-f250-4210-9b7a-9fbe4aafbeff · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

Multi-agent Embodied AI: Advances and Future Directions Teaching Large Language Models to Reason with Reinforcement Learning

Reference 66

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source=pdf_text observed=2026-08-15T23:16:15.524069Z digest=sha256:4185f7c9ab4efe96dd56d959f38f5b8cd9084bdd4b7184dca470d0f98b24a9c4

Observation f0585dd5-aeeb-45ca-914b-53ece6e558dc · outbound

This paper cites Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

Multi-agent Embodied AI: Advances and Future Directions Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion

Reference 67

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Observation bb4ebfb2-8978-4367-ae7b-2b01669633c0 · outbound

This paper cites Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning.

Multi-agent Embodied AI: Advances and Future Directions Sampling-Based Multi-Modal Multi-Robot Multi-Goal Path Planning

Reference 68

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Observation b24a473f-9e4e-4bc9-b079-4ac81d510938 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-15T23:16:15.533153Z digest=sha256:1cf76f2ed7d823372ba11382961e9e31d61012b0e1d1731e7dcbeb4e3de47dc2

Observation 8449eb1e-fbc3-4e0a-920d-f4928b77bd5d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 70

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Observation 21dbce53-01fc-4540-869f-5b9787f4f352 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-15T23:16:15.530127Z digest=sha256:73eda842b55aba4163843077c5cb81e5e973a463a39037aec632b15cf6329d92

Observation 55520fb3-c025-4656-afb5-5733f98a339d · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-15T23:16:15.541585Z digest=sha256:da99b99374d863f9ae266be9b26b535d5d2c3cc44cf2f221f67b6aa3a4c0028a

Observation a1cdc264-7a6b-40ec-b95b-8e2b75a5b780 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Multi-agent Embodied AI: Advances and Future Directions GAIA-1: A Generative World Model for Autonomous Driving

Reference 73

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Observation 87201f19-d4e1-4351-a1cf-c975fd356a66 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-15T23:16:15.538702Z digest=sha256:71a2b448f17a01382b4f51442bd1318f5f8c429bde1b16dc8cc72e3afd14ed4f

Observation 5f9a28eb-d2b1-4181-8434-1e461aa19604 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-15T23:16:15.550378Z digest=sha256:6cd53a3cee0795732843b3604b6b4ef8cd7c960adb2d98e5f74ab5a03bc22da6

Observation 1d932a47-f288-4f5d-bfb0-7906543df3f0 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-15T23:16:15.553224Z digest=sha256:4a92fdd7bbc2b7b2d34b970b291a59a75badbc5f7f89215a1d39edc854bcb615

Observation da84f679-d3ef-4685-b9d6-e9e803660acd · outbound

This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

Multi-agent Embodied AI: Advances and Future Directions Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Reference 77

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source=pdf_text observed=2026-08-15T23:16:15.547510Z digest=sha256:ac4aead87ab3a01a704b9cc8c4ac1367b0b6595deba56262f7b8a00e5468add1

Observation 8ae4dce8-3344-4fc3-982d-08a052b32146 · outbound

This paper cites Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu.

Multi-agent Embodied AI: Advances and Future Directions Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu

Reference 78

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source=pdf_text observed=2026-08-15T23:16:15.558439Z digest=sha256:eaff9700511241e3343295cd23f1f288f04c64bb8711647b862aaad87cb03b9e

Observation b71b887d-91d1-4642-89ef-f683afa0944e · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Multi-agent Embodied AI: Advances and Future Directions $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 79

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source=pdf_text observed=2026-08-15T23:16:15.560930Z digest=sha256:df053d947fc9b00e312a9fc945c32b7989028770011983d34332a8903b9ac1a7

Observation 811c9271-ece2-4725-8c7d-409759ad1e33 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 80

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source=pdf_text observed=2026-08-15T23:16:15.555878Z digest=sha256:c67b3e4234cac3a46fe0992918652fdea983d5e19e297e9b1c301a8a7662630a

Observation a70956fb-906d-41c9-8c64-7444e292faf3 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 81

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Observation 30b70809-b697-4496-9bee-055e4ef281b8 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 82

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Observation 73d362ea-aa9a-4e0b-a9bb-d24dac78b162 · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 83

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Observation 2e35c3f2-9375-41d3-9c3e-316b5f539bd9 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 84

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Observation 3543bf29-2fdf-423a-9ecd-fa1b45dfc7fa · outbound

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Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 85

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source=pdf_text observed=2026-08-15T23:16:15.580084Z digest=sha256:28f599d5cf1b2535c1024e9aecaca07f1c0fc84a2644513b8b0646fd4ae0beb5

Observation be0a31bb-0f34-479e-bf5d-f61cafb7bc4e · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-15T23:16:15.582392Z digest=sha256:8aa57435c1e0078830f88c3021f30a3c003ba257155fa6bb0e19bf8e0a19fc50

Observation 4723a770-4615-48ff-97ce-abebfe629b16 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-15T23:16:15.574612Z digest=sha256:30bfcf026d7568cad1810addbae949ade13b2d6ed76f67e054745e1b979b76ff

Observation dbb2f3d7-354f-4c39-9cb6-23e445d6df10 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-15T23:16:15.588171Z digest=sha256:4d6f9ba0101b69054c03cea6f0a140660793921c08a04eaff9bc5ad51c119506

Observation 3afd7e75-5e65-476f-9219-e2f263e8ff38 · outbound

This paper cites Al Sallab, Senthil Yogamani, and Patrick Pérez.

Multi-agent Embodied AI: Advances and Future Directions Al Sallab, Senthil Yogamani, and Patrick Pérez

Reference 89

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source=pdf_text observed=2026-08-15T23:16:15.590864Z digest=sha256:0804ab230fc99fe45b78bcfadf2b9d3a8c1a7966c8d3598b32d9f80d46129fdd

Observation 166b4b97-99e0-4f5d-9526-eb5c686a99b7 · outbound

This paper cites Koenig and A.

Multi-agent Embodied AI: Advances and Future Directions Koenig and A

Reference 90

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source=pdf_text observed=2026-08-15T23:16:15.593730Z digest=sha256:f1127ddb3bd0b59a4dd87a7ba5af80c4bfe0778f5fbb6239863575c957452f58

Observation f495a5bb-4923-4e5c-adf5-d456318564a7 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-15T23:16:15.585142Z digest=sha256:a5f0a7f68b2f04200fd26b4af8cc5f7e46e4811b16fc9f1014593ffa7e73045e

Observation 77b5f001-30eb-4971-86e4-7c7c509db5c2 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-15T23:16:15.599929Z digest=sha256:84aa31fa5cdd75c57a2580d7ca5d63e34dd7346d4f94d720bb7269ac7c6d6596

Observation 254ed02c-8f1d-4a1d-b862-04ea80e9b337 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-15T23:16:15.602714Z digest=sha256:bfc619837c96afd853e4caf0ff681aa8575ab2e628caf3ca3c9416c227ff56af

Observation 64eea98b-a2f4-4e22-96ee-dc0c2c968f05 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-15T23:16:15.605618Z digest=sha256:217ad1d4e62fdcd8c783abad314a16013fd38a90d6aaa53a6344d4c98d18bc3d

Observation fca59a2e-090d-42fb-9c7b-b47841fad716 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-15T23:16:15.597200Z digest=sha256:20543c0fe90fad616413d167531084efea932f0dcfdf4a06940e73a30e592766

Observation b8cb413c-f51f-4273-871d-e372f4c84280 · outbound

This paper cites LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble.

Multi-agent Embodied AI: Advances and Future Directions LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble

Reference 96

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source=pdf_text observed=2026-08-15T23:16:15.610854Z digest=sha256:894bec19fcb4780e55b0b85464480a1e516132e8287ca186ac2e156ddc55da19

Observation 64798878-c7d3-4cd0-9260-6461acdeeed5 · outbound

This paper cites CoMamba: Real-time Cooperative Perception Unlocked with State Space Models.

Multi-agent Embodied AI: Advances and Future Directions CoMamba: Real-time Cooperative Perception Unlocked with State Space Models

Reference 97

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source=pdf_text observed=2026-08-15T23:16:15.614758Z digest=sha256:d86eb5bdb8495b41cfbaa422c88461bac4c1c5189e454f46a02ef64d6cbfd4cf

Observation 26e4fcd2-167e-44ee-805e-7b8f0815e7df · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-15T23:16:15.617923Z digest=sha256:bea291628355acea4718aaf64a653baa1f4748b2a0f070527213da83228330aa

Observation 7f148134-145f-4b2d-a537-c6a4e9682d92 · outbound

This paper cites Lavavalle.

Multi-agent Embodied AI: Advances and Future Directions Lavavalle

Reference 99

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source=pdf_text observed=2026-08-15T23:16:15.608142Z digest=sha256:91b976772af632f61e594d4aa41853d63a5503e6b0c18c7dd898bf72274f1887

Observation ea44d614-d07e-48f2-88be-6502fea6c2b3 · outbound

This paper cites an unresolved cited work.

Multi-agent Embodied AI: Advances and Future Directions Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-15T23:16:15.623716Z digest=sha256:8900f951cb00b56e6d113e77679dc54fa82de6ded2bc0d474912aa530d5ea03a

Pith citing papers

Observation 110eefe3-f806-4267-a321-ddfbedb1ef53 · inbound

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs cites this paper.

UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs Multi-agent Embodied AI: Advances and Future Directions

Reference 39

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source=pdf_text observed=2026-08-07T05:47:56.980646Z digest=sha256:87198deda56f3e996a2df5e81df72ac3c731bfeedba2c8185aa42d95173e83db

Observation ea68d40d-be3f-49da-afb9-66c7ea75e00a · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Multi-agent Embodied AI: Advances and Future Directions

Reference 31

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source=pdf_text observed=2026-08-05T16:20:59.061242Z digest=sha256:736213f4872c6633680ea0da3765525ec343bc58b30404f739519e8c1ffca88e

Observation 894b4d17-3623-431d-8639-48051ca539c9 · inbound

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes cites this paper.

SPGrasp: Spatiotemporal Prompt-driven Grasp Synthesis in Dynamic Scenes Multi-agent Embodied AI: Advances and Future Directions

Reference 2

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source=pdf_text observed=2026-08-15T16:47:20.011250Z digest=sha256:acf264cbbb0395cf703f8f1494a216daefecc354f5f783a58d6d514b32fd4d04

Observation b242a039-8264-4e7d-8e4e-e0736dc17423 · inbound

Low-Altitude Wireless Networks: A Comprehensive Survey cites this paper.

Low-Altitude Wireless Networks: A Comprehensive Survey Multi-agent Embodied AI: Advances and Future Directions

Reference 164

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arxiv_id, observed 2026-05-18T17:06:39.684065Z

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source=pdf_text observed=2026-05-18T17:06:14.564921Z digest=sha256:1d36c2b2222c820982aa37df848a0f3a55adfa6b94a95edf073a0aa1d65cc5d1

Observation 43e54b8c-2fa1-4fb9-9eea-4e8bce91def8 · inbound

Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction cites this paper.

Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction Multi-agent Embodied AI: Advances and Future Directions

Reference 2

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arxiv_id, observed 2026-05-17T22:15:21.992146Z

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source=pdf_text observed=2026-05-17T22:13:54.160378Z digest=sha256:72b8af55fe2b7ae895c07ff778e3ed7ff00a63182414be206ee2a0c50dd027d7

Observation 1b2688e7-adf5-4e56-a99c-99f9379bf207 · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems Multi-agent Embodied AI: Advances and Future Directions

Reference 11

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source=arxiv_source observed=2026-08-03T20:17:48.760186Z digest=sha256:238739fd37b678c3e04dcfe4b5bce575dfb05311e742ff34857afb38acb0fea8

Observation b1c9903f-1b61-486c-b1ff-feb3b7f9be07 · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems Multi-agent Embodied AI: Advances and Future Directions

Reference 11

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source=arxiv_source observed=2026-08-04T06:52:31.386922Z digest=sha256:562a593238ed652ff8469f1b19511df2c6f76ff8985b6c20de8934f8398bd163

Observation a5544987-958b-4fd7-b621-a24eeb2a62a1 · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems Multi-agent Embodied AI: Advances and Future Directions

Reference 21

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source=arxiv_source observed=2026-08-02T22:58:05.878131Z digest=sha256:cbe2b8317ada443010105a35947a5d6f64c4130ba59f4a4139c11f5fbe7f81b3

Observation 1e7addd9-c522-4786-8bec-de3fbd15ac8e · inbound

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment cites this paper.

CoEnv: Driving Embodied Multi-Agent Collaboration via Compositional Environment Multi-agent Embodied AI: Advances and Future Directions

Reference 16

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arxiv_id, observed 2026-05-10T22:55:52.425800Z

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source=pdf_text observed=2026-05-10T19:27:12.286456Z digest=sha256:3f840d4911a20343e10c6df8ff53b0e27befd3632229e00cd4cfe3d6fb881749

Observation 19d6414c-64f8-48f6-bfc1-187a1d7558bd · inbound

AgentComm: Semantic Communication for Embodied Agents cites this paper.

AgentComm: Semantic Communication for Embodied Agents Multi-agent Embodied AI: Advances and Future Directions

Reference 1

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arxiv_id, observed 2026-05-10T13:35:26.337615Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T13:34:25.561961Z digest=sha256:145204975b17b70853faaad43cc20ab6430134e0b0e32eb5f376f1c8f82e1f1a

Observation 9793b17c-88e1-44fd-9a25-bc80cccd08b7 · inbound

EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development cites this paper.

EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development Multi-agent Embodied AI: Advances and Future Directions

Reference 3

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arxiv_id, observed 2026-05-10T13:35:26.218158Z

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source=pdf_text observed=2026-05-10T13:34:58.288245Z digest=sha256:d3933de0a1890937e5d06938001ced75bab7c5a99a2b11be2b506886009370d7

Observation f6ee03a8-27f7-469c-929c-6a7bb3a9a049 · inbound

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures cites this paper.

Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures Multi-agent Embodied AI: Advances and Future Directions

Reference 79

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arxiv_id, observed 2026-05-11T11:51:03.700674Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:31:28.242097Z digest=sha256:3472d0c7e2a0cbe457f8518b2d1fa544fd7c40ac45758b3f9d6829f6f62af224

Observation 6ec31658-3786-4dbf-84fc-39bcf31aa96d · inbound

MultiWorld: Scalable Multi-Agent Multi-View Video World Models cites this paper.

MultiWorld: Scalable Multi-Agent Multi-View Video World Models Multi-agent Embodied AI: Advances and Future Directions

Reference 11

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arxiv_id, observed 2026-05-10T10:09:08.121141Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T05:06:11.514186Z digest=sha256:245ac9fb55b33fc19d126de5b706cbacb5fd8a831898d2348763b7d9c06fa125

Observation 3ef5d09c-2383-4249-9e7e-596705374e0a · inbound

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery cites this paper.

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery Multi-agent Embodied AI: Advances and Future Directions

Reference 7

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arxiv_id, observed 2026-05-11T16:46:04.864426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T15:14:03.865035Z digest=sha256:379669250b47b007fe2957e570019733451e2655c260cc62043448ce87f87376

Observation be37442f-9deb-4ac3-8f06-b5fb57fe0c5d · inbound

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery cites this paper.

Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery Multi-agent Embodied AI: Advances and Future Directions

Reference 8

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arxiv_id, observed 2026-07-01T13:05:45.095465Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T01:10:48.111387Z digest=sha256:0857876f0de5b789372f22cc69f7351c7854b059c4a5f55d0fca918913459eda

Observation 6e6396f0-1b7d-4093-84b9-b6c5427b6128 · inbound

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model cites this paper.

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model Multi-agent Embodied AI: Advances and Future Directions

Reference 4

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arxiv_id, observed 2026-05-11T16:46:06.395625Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T15:10:16.533927Z digest=sha256:aa92a51591fc7ad6369e8094e4edb8a869915574b419835506e7167a4adf3374

Observation a2249fe9-9a9d-4000-aa5f-616dd96dd7d1 · inbound

Position: Embodied AI Requires a Privacy-Utility Trade-off cites this paper.

Position: Embodied AI Requires a Privacy-Utility Trade-off Multi-agent Embodied AI: Advances and Future Directions

Reference 7

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arxiv_id, observed 2026-05-09T06:55:42.445229Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T17:59:02.737357Z digest=sha256:3576891a3d93621049984d24df0c5aa1788fb8786169d770729aac66e1176d61

Observation 966ffb35-b030-4a62-8035-9d255e1186e4 · inbound

Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model Rollouts cites this paper.

Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model Rollouts Multi-agent Embodied AI: Advances and Future Directions

Reference 10

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arxiv_id, observed 2026-05-22T07:04:41.634503Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T07:02:27.381182Z digest=sha256:f4fac6794048ce86f6c210c43bd6d42a1c86be67f15342a11902c0df528306f1

Observation 2c9f8197-ef80-414b-9656-fea11717c778 · inbound

MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models cites this paper.

MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models Multi-agent Embodied AI: Advances and Future Directions

Reference 9

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arxiv_id, observed 2026-07-02T06:56:44.647937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T07:16:45.665440Z digest=sha256:3f3ca642bcf41efeeab4d2fbc0033d41214e8ff25a3747af363e820128349af1

Observation 9db765ae-5dec-4d40-b999-6353c89a36a5 · inbound

Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks cites this paper.

Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks Multi-agent Embodied AI: Advances and Future Directions

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T22:25:06.746818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:24:27.782144Z digest=sha256:567b1e0cc06b2fc0994ee12fee80858b8e9dff9be22343f5cd2ed2d8e97f9ac3

Observation 1eed5030-bb20-40cf-8ed3-b30bb8592dcf · inbound

Offline Multi-agent Continual Cooperation via Skill Partition and Reuse cites this paper.

Offline Multi-agent Continual Cooperation via Skill Partition and Reuse Multi-agent Embodied AI: Advances and Future Directions

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:07.950838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-25T21:14:31.778575Z digest=sha256:f14ed21180649e8fa3cf76429671b9c31c76da024e9b596b5587795cdd895644

Observation 8f133ed9-6a93-4bde-b7a8-96f9543a7683 · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Multi-agent Embodied AI: Advances and Future Directions

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-31T21:55:17.290936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T21:55:17.290936Z digest=sha256:74a291486e2d323500bec55274b060bb8c5718c9cae231ae924b03aab7895cc3