Paper Citation Record · LEDGER

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 7 inbound Pith citation observations for arXiv:2504.17950.

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

pith.paper-citation-record.v1
2504.17950 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:32:50.580733Z

measured 41 of 41 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:06:31.289707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:16.625515Z

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy15
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3f46da1-ec5a-4cfe-b61e-d3f854190e3f · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Why Do Multi-Agent LLM Systems Fail?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.429418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b35b32-1c40-40e5-afee-0935f9e20f40 · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.435116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014954d2-ebde-4213-b875-a5c1de462123 · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning On the utility of learning about humans for human-ai coordination

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.440253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb54cb51-720c-4d1c-a05b-023f445c1f70 · outbound

This paper cites Executing instructions in situated collaborative interactions.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Executing instructions in situated collaborative interactions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.151694Z

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.

Observation 79b6796b-b694-4b90-abeb-e41b3059f332 · outbound

This paper cites Habitat: A platform for embodied ai research.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Habitat: A platform for embodied ai research

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.449667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b78e3685-bc49-4c7c-a1e4-f1c9f2118628 · outbound

This paper cites LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.454684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a985271-fc88-4066-9e2d-6551e7bfaac0 · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Generative agents: Interactive simulacra of human behavior

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.459815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fa97ae-9aba-45c6-a045-acbff35d598e · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.464554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481b32bf-0512-42a3-b978-fed502fa232d · outbound

This paper cites MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.469160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74628e27-f5bb-4aa5-bef8-365294e9d40f · outbound

This paper cites Mastering diverse control tasks through world models.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Mastering diverse control tasks through world models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.473720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b9ed2c-4be4-4f75-ae5f-0a81d0748367 · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning V oyager: An open-ended embodied agent with large language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.098011Z

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.

Observation 38e929fc-31c5-4557-a799-24a7b91184fd · outbound

This paper cites Do embodied agents dream of pixelated sheep: Embodied decision making using language guided world modelling.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Do embodied agents dream of pixelated sheep: Embodied decision making using language guided world modelling

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.083699Z

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.

Observation 5f8adce2-32e2-424f-8225-6ad784625ee2 · outbound

This paper cites MindCraft: Theory of mind modeling for situated dialogue in collaborative tasks.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning MindCraft: Theory of mind modeling for situated dialogue in collaborative tasks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.069644Z

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.

Observation a2ffdb87-2c13-462b-8a57-686562656914 · outbound

This paper cites Cooperate or collapse: Emergence of sustainable cooperation in a society of llm agents.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Cooperate or collapse: Emergence of sustainable cooperation in a society of llm agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.055328Z

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.

Observation fac2549e-7375-4928-94ba-6247592d13a1 · outbound

This paper cites is this it?.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning is this it?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.040168Z

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.

Observation 01a5fdc0-48e2-4224-939d-e391393a066d · outbound

This paper cites Infer Human's Intentions Before Following Natural Language Instructions.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Infer Human's Intentions Before Following Natural Language Instructions

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:32:50.752773Z

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.

Observation 6e8920de-d224-4c49-8561-5a7ae3151c0c · outbound

This paper cites CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:32:50.731546Z

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.

Observation d59e7ef2-cd0a-4571-9c53-6899b4ac7e9c · outbound

This paper cites Embodied agent interface: Benchmarking llms for embodied decision making.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Embodied agent interface: Benchmarking llms for embodied decision making

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.510151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d171a4c-6c43-4088-889b-896f3a924034 · outbound

This paper cites Procthor: Large-scale embodied ai using procedural generation.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Procthor: Large-scale embodied ai using procedural generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.514453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ef0acce-4c8f-411a-acc0-f62a1052e32d · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Building cooperative embodied agents modularly with large language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:51.006780Z

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.

Observation 5f121a27-b3d4-4852-beea-29097887ddeb · outbound

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

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Teach: Task-driven embodied agents that chat

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.991232Z

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.

Observation 65f26194-1daa-47e7-99c4-3afd12c58c55 · outbound

This paper cites Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.527265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2fb9be-4ef0-45fb-b56c-5f45cd370f7f · outbound

This paper cites Malt: Improving reasoning with multi-agent llm training.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Malt: Improving reasoning with multi-agent llm training

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.531763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07ca8d59-e4ea-47d6-b391-ac7b475d9d02 · outbound

This paper cites Magdi: structured distillation of multi-agent interaction graphs improves reasoning in smaller language models.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Magdi: structured distillation of multi-agent interaction graphs improves reasoning in smaller language models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.976679Z

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.

Observation 5d9ed98c-a84c-4163-9aae-333d89cb894d · outbound

This paper cites Selective perception: Learning concise state descriptions for language model actors.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Selective perception: Learning concise state descriptions for language model actors

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.962739Z

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.

Observation d0bd91ee-920e-42c5-958e-f8f336ffacfb · outbound

This paper cites Mind’s eye of llms: visualization-of-thought elicits spatial reasoning in large language models.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Mind’s eye of llms: visualization-of-thought elicits spatial reasoning in large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.949096Z

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.

Observation 87231890-08fb-49bf-aa1a-298e86d4ae69 · outbound

This paper cites Minerl diamond 2021 competition: Overview, results, and lessons learned.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Minerl diamond 2021 competition: Overview, results, and lessons learned

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.934410Z

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.

Observation 96656c8f-e117-47ff-988d-6eb9ff6ab9c8 · outbound

This paper cites Video pretraining (vpt): Learning to act by watching unlabeled online videos.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Video pretraining (vpt): Learning to act by watching unlabeled online videos

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.552851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce3cf02c-edc5-4aa8-806a-dfa4e04ec9ae · outbound

This paper cites Mineflayer.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Mineflayer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.910219Z

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.

Observation 70263894-17b5-491d-bb72-9fbc3049b771 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:32:50.562143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfc4a7d-3a9e-4976-9e54-5103a0c300e5 · outbound

This paper cites Why greatness cannot be planned: The myth of the objective.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Why greatness cannot be planned: The myth of the objective

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.885377Z

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.

Observation ef3a85bf-8b48-43d2-8920-542ccaa39306 · outbound

This paper cites terrance.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning terrance

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:32:50.870332Z

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.

Observation 2457ad65-9036-490d-bdf8-84dd13b6c89c · outbound

This paper cites an unresolved cited work.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:32:50.856007Z

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.

Observation ad0abc2b-4203-4845-a945-07354a0aa8ac · outbound

This paper cites Response:.

Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning Response:

Reference 34

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T10:32:50.841632Z

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.

Pith citing papers

Observation f6caaacd-62d8-420f-881f-d852006307d4 · inbound

GuessBench: Sensemaking Multimodal Creativity in the Wild cites this paper.

GuessBench: Sensemaking Multimodal Creativity in the Wild Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:41.920480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f6e36b4-7098-4f6c-9730-c2637ec23bd0 · inbound

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values cites this paper.

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:07.328340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dddb27a4-f73b-4c4f-be3d-6b49818f9927 · inbound

Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets cites this paper.

Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:25:59.417428Z

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.

Observation 5087178b-1d42-4b69-a5df-0868a317a9d1 · inbound

Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets cites this paper.

Diagon: A Programmable Testbed for AI-Agent Cognitive Labor Markets Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-02T16:41:21.197748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c06fdc8e-69d3-4c14-bc6c-91855598c2cd · inbound

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game cites this paper.

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:16:11.358367Z

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.

Observation 4750eaeb-39d5-4982-a027-511e19ab0378 · inbound

Scaling Participation in Modular AI Systems cites this paper.

Scaling Participation in Modular AI Systems Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:16.626763Z

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.

Observation 79cfc506-e492-41cc-bf4c-6bda91c6fc53 · inbound

Structured LLM Reasoning for Zero-Shot Human--Robot Coordination Under Hidden Goals cites this paper.

Structured LLM Reasoning for Zero-Shot Human--Robot Coordination Under Hidden Goals Collaborating Action by Action: A Multi-agent LLM Framework for Embodied Reasoning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T20:06:31.289707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.