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Paper Citation Record · LEDGER

Embodied LLM Agents Learn to Cooperate in Organized Teams

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2403.12482.

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

pith.paper-citation-record.v1
2403.12482 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:33.324986Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 43df0b44-21a0-4cb7-b149-90bddbe13b61 · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:16:41.733289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T23:16:41.679855Z digest=sha256:95329c6973be51bdfbac319392627bc69f9825250ac7de07fee895cf2d4e8d74

Observation d0bb6bcb-a73a-44f2-be89-9e602c30eb34 · inbound

SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence cites this paper.

SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:11:35.664325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:07:11.548885Z digest=sha256:8f9d7f871b7bd4b8c79010df40ae15334dc199733103d9f816a6aab16700f2d5

Observation 3ff156e0-1d28-4814-a7ca-3c65c51b2479 · inbound

Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning cites this paper.

Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:33.324986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:33.324986Z digest=sha256:02083a13345224847bea3536788bb9db10b013ee9bab4cc1beacb183a5ea107f

Observation d6286ac9-f48c-4514-ad7c-6f06f732c84d · inbound

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners cites this paper.

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:23.195889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:57:23.195889Z digest=sha256:e3ac60d76a7f709011a40ee3dcecd63df43123e4aad78a2ba80db454fd1e15aa

Observation 5fd28e38-e4d0-4074-93d1-5d600bf506c1 · inbound

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration cites this paper.

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:58.307774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:59:58.307774Z digest=sha256:26208d31198580b2a81120bd0a61bb51312c9b98ba09c73c7a1610c1fa2b2cd5

Observation 85f79573-7c39-4e66-ab8a-a57d4e3607ce · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.266880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:f07034d0d45572a3a4e70e5f63e4907a7bb5243e6c88bbd5f13345c85d590bae

Observation 584f83af-01c2-4a33-824f-26d0883b9a3e · inbound

Modeling Earth-Scale Human-Like Societies with One Billion Agents cites this paper.

Modeling Earth-Scale Human-Like Societies with One Billion Agents Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:47.185374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:47.185374Z digest=sha256:c0c05d70c499ab12d5c31c35ebece70e44e04c97c1ba3ce78ae1053c50a178d2

Observation 05915a83-1677-49b5-b8ec-f2b9f5f4329b · inbound

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind cites this paper.

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T22:49:38.421893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:49:38.421893Z digest=sha256:80dc066230916c81485f5dc70164e3c6bf6514c6f69a824b54968f6bacc1cec4

Observation 9541ac70-3bd9-4185-b3c0-2ea334c57463 · inbound

Tacit Coordination of Large Language Models cites this paper.

Tacit Coordination of Large Language Models Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-03T07:22:45.529343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:22:45.529343Z digest=sha256:c103d019a6488488314d79d88f9ed6c3682d9c7642253bcfaf9e99c07da5e41c

Observation 0930e047-6a28-41a9-8675-f7b3508ee10c · inbound

Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL cites this paper.

Wrong Code, Right Structure: Learning Netlist Representations from Imperfect LLM-Generated RTL Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T01:22:44.572743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:22:44.572743Z digest=sha256:ac420d35d645f79ba41351307c7a737714b6c394866a63fbab3b47e49b48b4d7

Observation 1c7aa285-02e9-41f7-b6f0-419b4c4cfb1a · inbound

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction cites this paper.

Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T22:25:15.261445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T22:25:15.261445Z digest=sha256:01139f3884d855600379c8bd459be6ab2e6a745d314ee58cb7668a41eedaba72

Observation 475ef21c-f5ac-42ed-bfd4-1854f58713f5 · inbound

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems cites this paper.

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:49:48.972586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T00:43:13.092598Z digest=sha256:f15da4b852cf91f04dbd3b553c9c61e8ffdac4e51a82f411d6a831304f0fdeff

Observation 58b6ec7a-cfeb-4a0c-b0a8-63c386232eab · inbound

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems cites this paper.

Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:06:05.535937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:27:54.704794Z digest=sha256:e229b8a9e379970f4f4d056172d4a77eb88264982e764517d6995d876573005a

Observation 8dee1e0d-d2f7-4d19-bb69-4581797d0260 · inbound

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.

Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 263

Resolution
verified exact
arxiv_id, observed 2026-06-27T09:50:48.523074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:b89959e26e179139360476106daed407927625c5083f889b9802fb50d114d2e8

Observation 080a355e-8bd1-4f03-ae07-d0649a901968 · inbound

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems cites this paper.

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:25:49.968426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T00:42:20.220668Z digest=sha256:a1d1d801185cc08f9962073f0c1a69e3a663d4d3cef41b11721285e759d56682

Observation 4455c564-06b2-442b-baa2-7df072181319 · inbound

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? cites this paper.

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T01:10:44.920887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:10:44.920887Z digest=sha256:421c1bf9baf166c6479775ac43019bc5a8c96e4349bcbbaa09a432f1735e057f

Observation 09ef839a-99e3-48e9-97c2-494e29cbaf31 · inbound

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis cites this paper.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-31T22:43:12.180671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:43:12.180671Z digest=sha256:3ed9d7f18368b3c2a9c68dd6cf86441610ed6b2ee9d19faeec1cb7bcf0c45e85

Observation 4f479195-b391-45c3-8fbf-8a52b88e32ff · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Embodied LLM Agents Learn to Cooperate in Organized Teams

Reference 248

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.494908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.494908Z digest=sha256:603b28286759db4eb4f4388b52847d0c5111fe679f4e9ac9d32dcbacb0e377e4