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Paper Citation Record · LEDGER

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 8 inbound Pith citation observations for arXiv:2412.05255.

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

pith.paper-citation-record.v1
2412.05255 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:35.497836Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:01.259409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:17.292874Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ef4858a-b399-4133-8f86-c939539f95ad · outbound

This paper cites A Minecraft based sim- ulated task environment for human AI teaming,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft A Minecraft based sim- ulated task environment for human AI teaming,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.713411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.891373Z digest=sha256:304b5a347deb098463627d6b2301bdece969c11df05d6f9faf556807ea45f250

Observation 043ae3e9-87fc-4f4b-bc76-b36762dd481f · outbound

This paper cites Vision- and-language navigation: Interpreting visually-grounded nav- igation instructions in real environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Vision- and-language navigation: Interpreting visually-grounded nav- igation instructions in real environments,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.640634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.904327Z digest=sha256:e98c9ad5208092dd87a61d5f84b9f5da7db621010a68d6dc9ef5848320eb4055

Observation 71a37131-c035-487a-878e-bd9c38992753 · outbound

This paper cites Video Pre- Training (VPT): Learning to act by watching unlabeled online videos,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Video Pre- Training (VPT): Learning to act by watching unlabeled online videos,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.632671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.907888Z digest=sha256:2ee890f18ab80edecce6e67939e2fec9ad7336c986d090c6fee074dc4bea41c9

Observation fc446dac-f8b0-4b48-bb53-0c0c41cacc51 · outbound

This paper cites ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:34.911132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:34.911132Z digest=sha256:c366f0044b0dd1a5b3adf4096fff455586a50517c96b75cfc1593d86ee59419c

Observation 2619ed83-68d1-4e23-9926-88046318582d · outbound

This paper cites On the utility of learning about humans for human-AI coordination,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft On the utility of learning about humans for human-AI coordination,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.625317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.915463Z digest=sha256:13a93ecd57fc055837302fc9018bd893aef3fb3bcd41391c5e9b13e010fee4fb

Observation 8a141125-b6a5-4702-8f69-3006b1a4fc4c · outbound

This paper cites PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:34.919498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:34.919498Z digest=sha256:ed4126293992b4a38c1893d64948b7e99db07744495df20c881d5c1612b3e5c9

Observation c03d9a5e-c6f3-475b-9d93-afa42b4ee0aa · outbound

This paper cites Visual hide and seek,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Visual hide and seek,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.617173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.923161Z digest=sha256:40a32857202d6e58ab3ac9c1d49d1fa93e6e858678fb0e0f67b0eb6b66f807df

Observation 9e8333e3-0cd3-47ff-9c07-1176d4a29314 · outbound

This paper cites Embodied question answering,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Embodied question answering,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.575088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.931482Z digest=sha256:dd073f916c42cb46a15f55bfd3e972bfc9c615a63a10799949ec62483bc94a37

Observation 5feffd52-e6a6-4990-9aa8-b818e2a768b7 · outbound

This paper cites TarMAC: Targeted multi-agent communi- cation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft TarMAC: Targeted multi-agent communi- cation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.476982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.961691Z digest=sha256:052b0bbd209e039ecc8f6612c7761c9df9815d76afcece71636ced04658026e9

Observation 5127897d-c35a-4e3b-830e-5ff9f9754059 · outbound

This paper cites VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.469429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:34.992745Z digest=sha256:ac16860b94dbf6f741c8868dc1fda3399c5c4c438dadf1ad4028b796cd5c24d8

Observation 5c5065e0-1e16-44d1-9ced-e9a0f3de9137 · outbound

This paper cites Mine- Dojo: Building open-ended embodied agents with internet- scale knowledge,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Mine- Dojo: Building open-ended embodied agents with internet- scale knowledge,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.435490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.007002Z digest=sha256:4df472e7f78f6fa7506ec15ce31c103d6f7fc85be021e96fd70b72806a29d0bf

Observation a3bf53b8-fe42-494e-9b5e-b373752de775 · outbound

This paper cites Alexa Arena: A User-Centric Interactive Platform for Embodied AI.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Alexa Arena: A User-Centric Interactive Platform for Embodied AI

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:53:35.665714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.010416Z digest=sha256:27f055b37d720e4fb5907a2295be66168994426483d4e5fb133949706bc5bed0

Observation 2dad4b49-a203-4f04-90f6-c84474eb4671 · outbound

This paper cites DialFRED: Dialogue-enabled agents for embod- ied instruction following,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft DialFRED: Dialogue-enabled agents for embod- ied instruction following,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.343591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.013659Z digest=sha256:2212234ed4999ba8b00666120480711fbdf9ff7a582c392acdfc47696019ee02

Observation 293a3873-2372-461f-9801-98230568dd7a · outbound

This paper cites Joint mind modeling for explanation generation in complex human-robot collaborative tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Joint mind modeling for explanation generation in complex human-robot collaborative tasks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.335332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.016062Z digest=sha256:eef8327e005cd8adfc2de6939057fc5f0e5fdac276f7430927018e8808935c5a

Observation 41da3d74-d58e-433d-8d8f-6cd5051185da · outbound

This paper cites LEMMA: Learning language-conditioned multi- robot manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft LEMMA: Learning language-conditioned multi- robot manipulation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.327404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.018561Z digest=sha256:5fe941cfbe7458aaf2feb4cd75d63212b5e83ddfb4ec5bea62717e91746cebd5

Observation 93507a06-2905-456f-ad5e-17bb9da0179b · outbound

This paper cites ARNOLD: A benchmark for language-grounded task learn- ing with continuous states in realistic 3D scenes,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ARNOLD: A benchmark for language-grounded task learn- ing with continuous states in realistic 3D scenes,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.319978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.021796Z digest=sha256:c6290ef2dc0e9b7f90ef9044f8d1f3723e3c534eac2ef4e204c2a3eba73ee59a

Observation b1410388-d559-4713-bfe7-96d585c637b3 · outbound

This paper cites MindAgent: Emergent gaming interaction,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MindAgent: Emergent gaming interaction,

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T20:53:37.197007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.024819Z digest=sha256:43fc9905e7aeb384a5573df1640c91ed663b1c3e48333aa325162ba5c3be54af

Observation f8b9582c-1180-411d-960f-daf27c1eb8a8 · outbound

This paper cites IQA: Visual question answering in interac- tive environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft IQA: Visual question answering in interac- tive environments,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.170784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.027561Z digest=sha256:947fdb08400d44eb82dfe1659c2659359306da8783403d05f1053e531ba213f4

Observation 4d5af55a-0a3e-4559-bc18-70abacacf5d6 · outbound

This paper cites MineRL: A large-scale dataset of Minecraft demonstrations,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MineRL: A large-scale dataset of Minecraft demonstrations,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.163260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.054668Z digest=sha256:2d81cc8fec9a155774e70e990090db7a0651923846c467b2d82bb7e4f2c5a8da

Observation 2cbb9f78-da51-45f5-9d3a-3a63c5919d4d · outbound

This paper cites Human-level performance in 3D multiplayer games with population-based reinforcement learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Human-level performance in 3D multiplayer games with population-based reinforcement learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.155582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.090183Z digest=sha256:1d40441545ab18d60700c8ca1a7b77ce80791a2ed4e1f8f0553594404b05707c

Observation 78001533-3700-4040-9412-27f3a6b31f5f · outbound

This paper cites A cordial sync: Going beyond marginal policies for multi-agent embodied tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft A cordial sync: Going beyond marginal policies for multi-agent embodied tasks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.148286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.116995Z digest=sha256:d20c2015faae38aced3dbfb02ef32c54d4892c32f9c18f4204cb62a0ac05e83d

Observation 20a1e3c0-8704-4aa1-b696-cb462c88d4e7 · outbound

This paper cites Two body prob- lem: Collaborative visual task completion,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Two body prob- lem: Collaborative visual task completion,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.080060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.119499Z digest=sha256:bf6f6fb11adcb82882958508d6a86459e8daeb5f913cfb774b6269b02b51d898

Observation 37ffcfe3-5646-4126-aec2-88319fbd8891 · outbound

This paper cites Learn- ing to execute instructions in a Minecraft dialogue,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Learn- ing to execute instructions in a Minecraft dialogue,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.073172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.121952Z digest=sha256:3d543ced129d7107444364da807a557b352ade26984769aa713525055fc31026

Observation cfb73b24-e848-4035-b603-7e47949efb5d · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VIMA: General Robot Manipulation with Multimodal Prompts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.124367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.124367Z digest=sha256:8997fa0d52b30bdfb24c7e5c17728d4196b162a98525991b79220e6ee4dd29be

Observation b23c82c9-b7a3-4349-ae70-9e3cfb6f0dda · outbound

This paper cites The malmo platform for artificial intelligence experimentation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The malmo platform for artificial intelligence experimentation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.066824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.127707Z digest=sha256:c5534030bdd561ccd1f136f0d38f25803812b0c99f30fe7f943f061603593524

Observation 6077f72a-490f-414b-ada9-469f46efc1e5 · outbound

This paper cites Scalable evaluation of multi-agent reinforcement learning with melting pot,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Scalable evaluation of multi-agent reinforcement learning with melting pot,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.956487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.130933Z digest=sha256:029127c7f39d67ac36f1279bc0f73091a429a4fc4bedaa02af7c8af27c920a6c

Observation 7c4cce68-7dc8-4719-a1e4-730c6bc3a6b7 · outbound

This paper cites CAMEL: Communicative agents for “mind.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CAMEL: Communicative agents for “mind

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.948282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.133727Z digest=sha256:70cb285b7886642a61294b6dbf52f67f3cb0c6a001a218cfc083944bc3f5c9a3

Observation 2760b99c-25c1-43cd-973c-e991cef83867 · outbound

This paper cites Visual instruction tuning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Visual instruction tuning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.835340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.136633Z digest=sha256:fbae1e2e0b7d23cd3ba868dfc89afc2d89a517411c9453d946c45dfc857383e4

Observation 25a2c408-51a0-4aa3-8b71-bc3b353ac2ff · outbound

This paper cites Multi-agent embodied visual semantic navigation with scene prior knowledge,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent embodied visual semantic navigation with scene prior knowledge,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.828407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.140589Z digest=sha256:73e8224b3ef69c2af9c5596b8af96691c3bc110a1c822fae378b6ae34fdc866e

Observation 63d5c01e-075a-4154-8802-247e62962426 · outbound

This paper cites Embodied multi-agent task planning from ambiguous instruction,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Embodied multi-agent task planning from ambiguous instruction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.784663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.170664Z digest=sha256:625e1f36591d340a7b102e76d74827b2d522f1d2c5fc7fcd1f7a14909798d1ae

Observation 5326c833-2eef-4c95-9f9d-04b8d8ae4c13 · outbound

This paper cites Inverse Attention Agents for Multi-Agent Systems.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Inverse Attention Agents for Multi-Agent Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.195322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.195322Z digest=sha256:111bd0aac88eb68cf24bfaf1e0812a3db504f3ca62ca69eba54742d1cfb3e6d5

Observation a00e04e0-1705-469e-b5ac-27438149d3df · outbound

This paper cites SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:53:35.622297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.212893Z digest=sha256:23ab14fa31c535cb8fb4e7bf5132ed3d0861f81e3c7f1afa60ee1800191f0b81

Observation 88590da0-3924-4bbf-9834-b5d774642887 · outbound

This paper cites Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.216055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.216055Z digest=sha256:e12ad0a53fb5b3fcbe2a8217a62c26e9f69ef544785807893ea240a36ac3f212

Observation b7b97df8-9057-4905-890f-c026812e8168 · outbound

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

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent actor-critic for mixed cooperative- competitive environments,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.735448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.219180Z digest=sha256:19d5accda9de55b0e49ccbe1c488f044d56f4649db9953e2c55fd383719500c0

Observation a7238af0-d81f-4495-aed0-2886f2edfd8e · outbound

This paper cites SQA3D: Situated question answering in 3D scenes,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft SQA3D: Situated question answering in 3D scenes,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.629697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.221867Z digest=sha256:4285ef2302279897253b5c1badcbc7640dc109e4c2e7b5b80576782536c2ef70

Observation 5a858174-2c33-48ba-bd98-f9dbb648b671 · outbound

This paper cites OpenEQA: Embodied question answering in the era of foundation models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft OpenEQA: Embodied question answering in the era of foundation models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.592391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.225527Z digest=sha256:681d5d75eb25589d23edd521604d455542c79f1ba4a7c4b9e0111568ac78d581

Observation cda70ff4-03d4-4052-a747-ce3e2bf0a507 · outbound

This paper cites RoCo: Dialectic multi-robot collaboration with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft RoCo: Dialectic multi-robot collaboration with large language models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.438519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.228305Z digest=sha256:4e35774b2e56a3246a0d08e3fb90d38aa066b8926a587f15b76bafe685dc4529

Observation 665f7994-1f8a-431b-933c-cee4752c6a84 · outbound

This paper cites CALVIN: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CALVIN: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.428519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.231831Z digest=sha256:d5294b1554cf00ed9a6d4cfa6a6e454056da426b0d8cafd42ed3e833394b2d68

Observation f1271412-a02b-444b-a592-1f1e39f34381 · outbound

This paper cites Emergence of Grounded Compositional Language in Multi-Agent Populations.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.234782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.234782Z digest=sha256:862ed319acccc14f04b451fd17a1a96eb649f9c260def2f9d5a12d54af6acfa4

Observation dfdb0c8c-b902-41fe-b5a5-551b54fbfeff · outbound

This paper cites Col- laborative dialogue in Minecraft,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Col- laborative dialogue in Minecraft,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.421170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.238185Z digest=sha256:e9a5cb9e99a45ebf46b2d018e4f266faf6bf815af29af9dfb4e6aa586cf5343c

Observation a38c442f-0ada-4302-b963-a5a82bdd9525 · outbound

This paper cites TEACh: Task-driven embodied agents that chat,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft TEACh: Task-driven embodied agents that chat,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.412801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.265687Z digest=sha256:7d3226ed09049f340737c36303806cabe4a49caebace90e61b4300ad610d7953

Observation e8895218-2d2a-4910-a6c0-5fb42e98a651 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Generative agents: Interactive simulacra of human behavior,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.358002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.293888Z digest=sha256:3a6189037896a7bd6f73b557e66027f6480ea7ee4c2948c252e00bdf85f8ee34

Observation f49b57b5-685a-4e17-a99c-3a088c4c5830 · outbound

This paper cites The Multi-Agent Reinforcement Learning in Malm\"O (MARL\"O) Competition.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The Multi-Agent Reinforcement Learning in Malm\"O (MARL\"O) Competition

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.319002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.319002Z digest=sha256:16c44aa5833d9f70ee3d09abcccdd20a2dea03af8f447a554e5058b4268699e4

Observation 0cd73927-9c67-4d30-87c8-1b59fedeb41c · outbound

This paper cites Watch-And-Help: A challenge for social perception and human-ai collaboration,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Watch-And-Help: A challenge for social perception and human-ai collaboration,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.306861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.322364Z digest=sha256:5fdbc7d19671edc9d664fab4f022939e3c253a4919140ef722c907ae645b7cd9

Observation d963ba08-86d2-4c5d-b13d-00ab38052ad9 · outbound

This paper cites NOPA: Neurally-guided online probabilistic assistance for building socially intelligent home assistants,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft NOPA: Neurally-guided online probabilistic assistance for building socially intelligent home assistants,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.300353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.324845Z digest=sha256:a06fa1a63916e635667791e69294cee311eb500b29a5f1e5cc4322c4892cdadc

Observation 93214758-47a4-40d5-86da-6aa225cfe5a4 · outbound

This paper cites CLIPort: What and where pathways for robotic manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CLIPort: What and where pathways for robotic manipulation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.294216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.328042Z digest=sha256:e997f2af7aeba436e2c2eea82202efdfc7e432ddec2135cb8f9f869a876893d0

Observation 727e3aff-78ab-488d-8511-8b5ebd08b6e4 · outbound

This paper cites ALFRED: A benchmark for interpreting grounded instructions for every- day tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ALFRED: A benchmark for interpreting grounded instructions for every- day tasks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.286208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.330772Z digest=sha256:2835dfa4f44bffa3ed825a14d00e14757a31b09e0343d1684dcc1762f3aa79aa

Observation 3083a882-5b19-471d-980f-db5b424e1a18 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.333812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.333812Z digest=sha256:cf50d4f44055aca3d72575534efc2bd92626f6f67385b87e90bc6ddf0295223e

Observation 5b1561f6-ca65-49e3-8485-d8211aa57c3c · outbound

This paper cites The development of embodied cognition: Six lessons from babies,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The development of embodied cognition: Six lessons from babies,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.229253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.336917Z digest=sha256:5c3ca3abe044dfb7e1b69ad818c848af763048b0128cabb149a22490feb68c72

Observation 8353e748-151c-403a-87f5-2347b9ab83d4 · outbound

This paper cites Multiagent systems: A survey from a machine learning perspective,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multiagent systems: A survey from a machine learning perspective,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.166692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.339133Z digest=sha256:fffa41137976e25e066060f92de2e1f09c092b3bbbe06aa9dce1157cc03f77b3

Observation 4a3dd88e-c770-4727-984e-86bbfc303e3d · outbound

This paper cites Neural MMO 2.0: A massively multi-task addition to massively multi-agent learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Neural MMO 2.0: A massively multi-task addition to massively multi-agent learning,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.160171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.342910Z digest=sha256:becc85c90d31cba0929434f82a661e4672dffe8d1991cd70b4f3dbff2eab807e

Observation 4df2d897-c5da-43ce-ba07-00a884e44685 · outbound

This paper cites The neural MMO platform for massively multiagent research,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The neural MMO platform for massively multiagent research,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.153449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.381495Z digest=sha256:7803b41dc15612a1b01d99a501ff5dfe93d7e16fefb5de8ab3dadba84947d12d

Observation 897136e0-a0f1-4001-aca8-4c286bcdeee6 · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Habitat 2.0: Training home assistants to rearrange their habitat,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.145144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.418208Z digest=sha256:6416e75821cc36ea545d592baab347c1592a4bb297d55ad83ab380258f2c7a20

Observation 50bab3f0-0e87-4381-8ece-1a1b51c1de6c · outbound

This paper cites Multi-agent embodied question answering in interactive environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent embodied question answering in interactive environments,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.057512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.421301Z digest=sha256:73ba7c693d69efc810f06306ab474c61ff7f1c715a6ae21b59fc9b7fabba4438

Observation 9ec3d81a-5bb1-4c2e-891f-c6f981e8ddc4 · outbound

This paper cites Grandmaster level in StarCraft II using multi-agent reinforcement learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Grandmaster level in StarCraft II using multi-agent reinforcement learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.991793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.424310Z digest=sha256:5723ea3dede96d90575982fad1f36eb7cbe2a2f1e26c10eae740cbb401e4e9e5

Observation 5375b129-343e-4869-9658-a85139655d11 · outbound

This paper cites HandMeThat: Human- robot communication in physical and social environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft HandMeThat: Human- robot communication in physical and social environments,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.982592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.426902Z digest=sha256:061f0ef87a2a104d6428cad032c13c1bc33afa9105f0580d3bed1603146b6aa5

Observation 57669b38-87b9-4d11-962d-366eba249f08 · outbound

This paper cites V oyager: An open-ended em- bodied agent with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft V oyager: An open-ended em- bodied agent with large language models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.974612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.429239Z digest=sha256:7cf454737ecdf16545bf3131c64d298fb4682ffc2528d1a31b4e856b8185f472

Observation 0a25bac1-aa92-4b0c-99f3-632e7f9f7e47 · outbound

This paper cites JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.431771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.431771Z digest=sha256:5af69f08a5c526dc5d4e498d2696d3a6c69bfabc14e99dd51243ad55aa7adf8b

Observation 4530925c-a649-4591-b6ac-8052c39c4cc9 · outbound

This paper cites Describe, explain, plan and select: Interactive planning with large lan- guage models enables open-world multi-task agents,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Describe, explain, plan and select: Interactive planning with large lan- guage models enables open-world multi-task agents,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.966923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.435318Z digest=sha256:3363fca330e07bcb73bbd40314cc9f45620623cd900ed3fb10a8f3c7fba1fd28

Observation f98a7cef-33de-4fdc-9b3b-abac41d060a5 · outbound

This paper cites Too many cooks: Bayesian inference for coordinating multi-agent collaboration,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Too many cooks: Bayesian inference for coordinating multi-agent collaboration,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.891802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.437744Z digest=sha256:04c04526f783cd3a517d9c7ad3fc36cd458c9b9c6b90970e5e63c6875509cef4

Observation 150e0c4c-1e5d-4386-9739-2fb6702a47fb · outbound

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

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.793046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.440214Z digest=sha256:a19346f6f1eb28f11eac131ac15d64f66ea57ffc1a6eacb169ddae521e1cca01

Observation 0810fbdc-9213-4e6c-804a-6edc205b282b · outbound

This paper cites MineLand: Simulating large-scale multi-agent interactions with limited multimodal senses and physical needs,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MineLand: Simulating large-scale multi-agent interactions with limited multimodal senses and physical needs,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.784923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.442728Z digest=sha256:070119e2b617b298109029b46b2895eb75bae73fc163962ac94709bfacc7f544

Observation 2a2c6c8c-9ce8-4b1a-b8d3-7ced7cc13644 · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Transporter networks: Rearranging the visual world for robotic manipulation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.776486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.445343Z digest=sha256:cd1eee6626af39abe423ca88155e41cbafd566d4713dc79ede0b7e42e091af47

Observation 1bbd7961-ba46-404d-b4f7-68f7963d5fde · outbound

This paper cites ProAgent: Building proactive cooper- ative agents with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ProAgent: Building proactive cooper- ative agents with large language models,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.768489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.447715Z digest=sha256:d5a2bfd92ee542e5d5ea97db8da3c72d886146c74e8b0fa1c5e362b1cb1741a2

Observation d559f3ce-e493-43ce-8783-81e23e252e33 · outbound

This paper cites Building cooperative embodied agents modularly with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Building cooperative embodied agents modularly with large language models,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.745858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.450578Z digest=sha256:5cf849adf3530802317c9f0cf72c5e54b949ca2074e343a8393d4fb307d4c0af

Observation c6023e0a-e346-4ebf-9dc0-b5b52c395e72 · outbound

This paper cites COMBO: Compositional World Models for Embodied Multi-Agent Cooperation.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.455099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.455099Z digest=sha256:2da8edef455537a82158b2e1112bcc4b5f7cc8b12e16cefb94b3fa19068e074d

Observation f9d23e22-44ef-495d-b86c-c856588182b9 · outbound

This paper cites VLMbench: A compositional benchmark for vision-and-language manipu- lation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VLMbench: A compositional benchmark for vision-and-language manipu- lation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.686708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T20:53:35.497836Z digest=sha256:9b8f58956e46604f9b685a8938c3f601ec6d898a950087efd9e002f61be76a6f

Pith citing papers

Observation d363ce66-e698-482b-be4a-0fa0f8c33924 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.311345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:f9f82e66312160556c5a3e2c3a6204e82de36c8d1caac8b19fdfb967a9b5f601

Observation be223978-c8d1-4aab-b264-f27036544a98 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.415884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:a4f703adf8eb1d0a4d1ef579ec4e0f47f84cd8f4496233ed8acd204a126bf876

Observation a82f3acb-3ad6-421d-876d-b8d72bec3cbe · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:01.259409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:01.259409Z digest=sha256:f494adff0685edb04091320bc3f2cd3e3f444d6dcd2305891de3add358d0a1b1

Observation 2ec86955-8498-410d-ab43-e4e58723dd6f · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:16.402744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:f2b736e78635d34e67b9a03bf3c998d0814dbf2f591e848dfa103cf0a8e52e17

Observation de2bdad4-1c71-4abc-a008-c44f46821b39 · inbound

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

MultiWorld: Scalable Multi-Agent Multi-View Video World Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:09:08.082912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T05:06:11.514186Z digest=sha256:2013582c5d2ca45d3d7ed3154d829a9b7f422f849dbeb3a6ac17ec8511efd835

Observation 50c964ae-405e-419f-810e-2277c9beceef · inbound

Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes cites this paper.

Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:31:02.699308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T01:36:23.517745Z digest=sha256:cdabadd7f3a56233e6f80eaac506ae28baa8e661e2609da1b0893831c2a081d9

Observation e4333c62-565a-4b97-837e-41fdd1e6746c · inbound

Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models cites this paper.

Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:38:12.472715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T10:36:20.388169Z digest=sha256:2429053a03b71a6ccb41a71c983e1ad48e45bbbd375f9ff901f8f93d6b433282

Observation 2857d46f-9c74-44db-8e6e-5ee0acb254fc · inbound

RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models cites this paper.

RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:17.294385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T21:02:26.081166Z digest=sha256:492163223583f635d02c0680e899ad7768f66e17ad6fcb7d07a9d1bccf916556