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Paper Citation Record · LEDGER

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2508.06042.

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

pith.paper-citation-record.v1
2508.06042 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:04:42.823217Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:53:03.420926Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:58:13.165117Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy26
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a85b142-3d3c-4f4f-b25b-c7e49b16d83c · outbound

This paper cites Apprenticeship learning via inverse reinforcement learning.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Apprenticeship learning via inverse reinforcement learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.628582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:39.722980Z digest=sha256:37919298647234fa74424eeaca130b2e8e1fddd3eca4973660e43dfbf2cbf937

Observation cf39951f-d933-42c0-92e8-1fef72fb3776 · outbound

This paper cites Avalon: A benchmark for rl generalization using procedurally generated worlds.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Avalon: A benchmark for rl generalization using procedurally generated worlds

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.620286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:39.824420Z digest=sha256:5de269617d629a3113093240d3e7f68b2b3502b647bce93102994ba188de5d47

Observation d195263d-709a-4eb5-b844-890ea7b4f64b · outbound

This paper cites The arcade learning environment: An evaluation platform for general agents.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning The arcade learning environment: An evaluation platform for general agents

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.611065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:39.857653Z digest=sha256:deae1cdca4fc10110961d49f6ccd8085cc4316323c89593b020e5945de756183

Observation 4ec8fcd3-7691-493b-9e13-5984fe39d201 · outbound

This paper cites Sc2egset: Starcraft ii esport replay and game-state dataset.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Sc2egset: Starcraft ii esport replay and game-state dataset

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.602444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:39.926618Z digest=sha256:0eaae23ebfc027f62ce07b849a061b8ba1dc4257bc78030ea32774e2006bef1c

Observation 78049e22-e91a-4b41-8d1e-77b8da10eac3 · outbound

This paper cites Starcraft II.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Starcraft II

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.594429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.007314Z digest=sha256:8fe2f0a8d99c8b553852dee0af3882ecbeb1c1c0dca8df7e753007e2bbf8a16c

Observation 3f4b6201-9587-464a-ba9f-565f0b9cb04e · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Do as i can, not as i say: Grounding language in robotic affordances

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.585875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.026182Z digest=sha256:5b095362011a81f284be5ddc4c8ad7a9f7395b668e2bf81a6f60f97da3daaef0

Observation 272de62e-f18f-4ae6-b429-05f65a49ffc8 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.577493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.071863Z digest=sha256:21096548647eb0f5432a8e58e93fd752de92b9b57d63871440060be1df4370d7

Observation 25274cc3-461f-4f55-8206-f01509b4d144 · outbound

This paper cites Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.109207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.109207Z digest=sha256:99c66660b962913fe5322f1de4b2f6a1edc0dddfacfa804cbf493971bae13df4

Observation 05295ee8-6f08-43a2-af95-b869fdb792db · outbound

This paper cites Reconcile: Round-table conference improves reasoning via consensus among diverse llms.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Reconcile: Round-table conference improves reasoning via consensus among diverse llms

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.569520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.179472Z digest=sha256:2543b4905b795c4908ff8f93fdbda9489151cba9ca6cd9df02f37240103bb3f4

Observation 7e1dd9ab-79b4-4155-a044-8d5bc6aae7d2 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.218981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.218981Z digest=sha256:e2db5d910761f8bdb4c67a09ebde11c33448467ebbe0af6f3424a69c32419b95

Observation 3c8696e9-6021-4984-9fe1-3a768a4d18dd · outbound

This paper cites Delbecq and Andrew H.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Delbecq and Andrew H

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.561204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.285336Z digest=sha256:77e689e79a48b82c3bc14acac1cc844204bd0aef70ebd16f37f691a3a7df0a0e

Observation 1e9d07c5-469f-46f1-b09a-1fd9273bda21 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning PaLM-E: An Embodied Multimodal Language Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.326711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.326711Z digest=sha256:f19adaa9f87cd7788bf237b5c7ab1e9f31d18c66a0aca8f3cc28c7b64187d739

Observation 48289d22-8349-4be4-b982-e5aa22eeed79 · outbound

This paper cites Tenenbaum, and Igor Mordatch.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Tenenbaum, and Igor Mordatch

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.552981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.430526Z digest=sha256:5f22692183bb232d621bb5d94c8329b7e8ed2b592c3ab86bd4a7ea13975279af

Observation 93467017-b341-4353-83ec-c74fd0c83188 · outbound

This paper cites MineDojo : Building open-ended embodied agents with internet-scale knowledge.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning MineDojo : Building open-ended embodied agents with internet-scale knowledge

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.543196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.486714Z digest=sha256:6cc242d26e73b82021460c6b151c075387541d0cc22174b8824cfe2425ac3f68

Observation 87673b5a-f7f0-422b-9f0d-e8961aabc991 · outbound

This paper cites Strategic Reasoning with Language Models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Strategic Reasoning with Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.529415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.529415Z digest=sha256:4b9021ba4c77364be92f86a845ab8ba392c7108eadd0c0dacd6ea44bfafc7ff5

Observation 856928a0-1c20-4b86-aa80-a186cc6a685c · outbound

This paper cites PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.583976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.583976Z digest=sha256:0adf666312c6986ffeb6a9683355ed8f7ebb2df551c9041005fdd2224e2d78f8

Observation 8955b9a7-0661-4b70-899b-ef8a24a192ee · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Camel: Communicative agents for" mind" exploration of large language model society

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:46.310590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.650998Z digest=sha256:b5117f211549230b80764fed2bd3c2b0d1caba3a8390a710c08f34bf581c3291

Observation abb013ec-6241-4b19-a271-d9093a54621a · outbound

This paper cites JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:40.726005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:40.726005Z digest=sha256:797c78b0d4e06c0cb33f48d872282d6fed2e856dd8ba96cdfe0af252523dc9f9

Observation b3ce4f33-bc89-4807-ac13-c58403c163f3 · outbound

This paper cites Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:04:43.127193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.789351Z digest=sha256:70c80625ababdda49c0a7cc962cf8539dbb7337b561aa3ace232f3118eeaa22a

Observation 27ae75fd-b2b2-4916-a23a-84cd3258da0a · outbound

This paper cites Multi-expert prompting improves reliability, safety and usefulness of large language models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Multi-expert prompting improves reliability, safety and usefulness of large language models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:45.977105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.824428Z digest=sha256:73109b56a1bf9d4422bbdef0ff07d75220cbac049c2d6347e4dd28d7a992344e

Observation ad4cc06a-0c65-4ac6-b2a9-e3b8021a710b · outbound

This paper cites Large language models play starcraft ii: Benchmarks and a chain of summarization approach.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Large language models play starcraft ii: Benchmarks and a chain of summarization approach

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:45.744924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.848983Z digest=sha256:2a5c1a8c36081d2f223f4e8cbc348119ee82902c32257c2dab215bc0ef88d0ae

Observation 3048a0e2-c2f6-46d8-a235-3b33ab5b96cb · outbound

This paper cites The Society of Mind.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning The Society of Mind

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:45.557187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:40.904963Z digest=sha256:755e1d680bce3f603de50c0112ef8823d8ce4568aa42d362a8a667bc98357694

Observation 0ef2faef-b39f-4dc5-8e18-67aa699def2d · outbound

This paper cites Gpt-4o mini: Advancing cost-efficient intelligence.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Gpt-4o mini: Advancing cost-efficient intelligence

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:45.345111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.001359Z digest=sha256:df38f0a42b8c3fc1b6915b8a533d6695c5c81c32bc2c4beeef6f8c319b9a6d73

Observation 98920867-9d1d-48ae-b0ca-f113a7fff6d2 · outbound

This paper cites Training language models to follow instructions with human feedback.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Training language models to follow instructions with human feedback

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:45.122045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.060863Z digest=sha256:a8c2778a7c345e69a43003bcbc8049209b76bd7cd3e865323c18f0f2a02e130a

Observation 828941dd-b5a8-4171-9738-0ba94039933f · outbound

This paper cites No-press diplomacy: Modeling multi-agent gameplay.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning No-press diplomacy: Modeling multi-agent gameplay

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:44.960859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.121867Z digest=sha256:28bab911ab0bba2057d93c6420c784a2233caa5be696f55cd8d4ee9311e1ea92

Observation 0448c8a0-fcf2-4057-93e2-b96067e6f53b · outbound

This paper cites Multi-agent reinforcement learning for cooperative air transportation services in city-wide autonomous urban air mobility.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Multi-agent reinforcement learning for cooperative air transportation services in city-wide autonomous urban air mobility

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:44.695172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.155751Z digest=sha256:ec9f7436a19c067c73b6ed74949eda4685284a5caae3ff969ae50838dfda0ded

Observation 27cbeacb-4d23-47b0-9d9b-bbb1309f0cc8 · outbound

This paper cites CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.238276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.238276Z digest=sha256:e340024eb220b858883560d335ad4005ce53f366d3b040ebcebd81e16145fef3

Observation 20e3eeaa-1499-4c88-a37b-140319607d62 · outbound

This paper cites an unresolved cited work.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.271754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.271754Z digest=sha256:af0de2afa5d8c692bb58c80437353025762fe190fb1ae5e9e221b760ab467983

Observation 0aa473a6-ecde-4259-8717-0c1f692f7c74 · outbound

This paper cites Swarmbrain: Embodied agent for real-time strategy game starcraft ii via large language models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Swarmbrain: Embodied agent for real-time strategy game starcraft ii via large language models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.363211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.363211Z digest=sha256:e4b0f871bc82bbebe8d7263f82d0bcace460be036ebe4bd630b619a2e110a727

Observation c60a9e90-0786-4699-af63-30a6e966ac4f · outbound

This paper cites Alfworld: Aligning text and embodied environments for interactive learning.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Alfworld: Aligning text and embodied environments for interactive learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:44.494611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.427768Z digest=sha256:854eff84d061f8de0edb61d52d10acf1f4ec3e0cae52c33a93a503a0b59c7ad6

Observation 61fc3e22-6bae-44ce-9a7e-af43c92ae401 · outbound

This paper cites Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:44.317116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.441650Z digest=sha256:e3562be6e7d220d4724c71e1ae14e5990ce396398e3712743f70b1d0e6adea76

Observation c9e2bd22-e0a7-4053-ab51-68997957d546 · outbound

This paper cites Mujoco: A physics engine for model-based control.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Mujoco: A physics engine for model-based control

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.477522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.477522Z digest=sha256:a8fe4de788023ab5e464f2ff0d252241fca51737e8e7b2b010060fef628fd1a5

Observation 743afd87-e404-4a0d-90d6-20aebfbcf0a1 · outbound

This paper cites Behavioral cloning from observation.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Behavioral cloning from observation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:44.171075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.489735Z digest=sha256:3f0b523d6cbf6c4b415a867446730e84efc99b9c3b4469134092d2e6bfb76387

Observation bead09d8-97dc-4a9f-8951-21db8a1eb3a8 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.523014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.523014Z digest=sha256:e3bfb83c88ac6a618e05f2c82616841c580b00edc97f5876666cb17df9951d13

Observation f23a2a76-0284-42ba-9efc-a1ad3ec68cbe · outbound

This paper cites Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.597939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.597939Z digest=sha256:ddc87fca8fa35f4fe9db1884dcd1d3acb0bd5fd6365f4725a4006436d160f22b

Observation 8ae070ef-c177-48e4-9a1b-e17f35677a5e · outbound

This paper cites ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.686380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.686380Z digest=sha256:541c85cc72d8325351d9204c1e5a5c6c1d23ffee404df2a64132b459cacef086

Observation 4a829433-1c6f-4dc4-acfe-bd876df0c203 · outbound

This paper cites Grandmaster level in starcraft ii using multi-agent reinforcement learning.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Grandmaster level in starcraft ii using multi-agent reinforcement learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:43.985683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.749785Z digest=sha256:26381d7c644ba5b7a6faeaeb36f90c271f8f427f8246195513f87995ba5632d7

Observation 46700a69-0937-4618-a96d-e4a8a4dbefbb · outbound

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

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Voyager: An open-ended embodied agent with large language models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:41.841095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:41.841095Z digest=sha256:533bf7403634f000f2270adc7e32cf496526adc5537ed52e5ca819491329499d

Observation a9dd5df5-e433-4867-9acf-72321d1ead1f · outbound

This paper cites Scienceworld: Is your agent smarter than a 5th grader? In EMNLP, 2022.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Scienceworld: Is your agent smarter than a 5th grader? In EMNLP, 2022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:43.813862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:41.947389Z digest=sha256:1e6f2eea66a1e27037c271e4c1bd9bd9173d3011e1177d0a8124156e82a8aef1

Observation 019fed90-ab0a-4d94-8e76-7e1e1a11eb9f · outbound

This paper cites Le, Ed H.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Le, Ed H

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:43.654728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:42.029881Z digest=sha256:6f1d340cf19a96d178c03c900210d1f97fadd4977affe304532ed7f10255da0b

Observation ee2e71d6-e0e8-43cd-a3c8-a5938eee4c19 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Chain-of-thought prompting elicits reasoning in large language models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.093962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.093962Z digest=sha256:7b842d09aef9d9eee77396d29d5df3df6fea3e6bb2d6a9b938def319d79c77a1

Observation 8224989a-4dd6-483b-bedd-c7912661005f · outbound

This paper cites RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning RoboCopilot: Human-in-the-loop Interactive Imitation Learning for Robot Manipulation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.212387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.212387Z digest=sha256:9e6eb5db8f99cabc3c87b3d61f3bd041d9dbd3b481719b98869650c66173ea14

Observation 18e9a890-4579-49aa-b59e-d78c457fd3ba · outbound

This paper cites Llms are not good strategists, yet memory-enhanced agency boosts reasoning.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Llms are not good strategists, yet memory-enhanced agency boosts reasoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:04:43.462071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T23:04:42.284124Z digest=sha256:0ba2255cd52ff49370f066f42803b7afe318ff2e902f3cd68ad749ca293cf90d

Observation 4a5a4541-5680-44ce-9987-086c4057dfae · outbound

This paper cites Qwen2 Technical Report.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Qwen2 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.340496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.340496Z digest=sha256:c40e608154269c49c9217486ca9904900de5799ef9c85de37b3eb9254c8011fd

Observation 8f0c3a4a-000b-4a5c-9662-1cd55e1719f0 · outbound

This paper cites Qwen3 Technical Report.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Qwen3 Technical Report

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.434956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.434956Z digest=sha256:299768af42c068386147365d38d217814bed2e479e09c08700bbdcd8164c6abf

Observation ed5db4b2-7bf0-4c88-844a-4bcb4289c5f3 · outbound

This paper cites Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.495007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.495007Z digest=sha256:f4f02a9ed4cba585c72ef6d4e7440d861e02db7fba4339bd4ec51baaecc9b947

Observation 2c33fc14-d970-4fb1-b659-84ba1991c13e · outbound

This paper cites write newline.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning write newline

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.580625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.580625Z digest=sha256:9b00ae9c372a6c4ef8fb0e446495bf902b158f306d423c32c1b9ebf5ddca844e

Observation a77e66ab-dee0-4461-ac5c-cf0a7bbd4cc4 · outbound

This paper cites @esa (Ref.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning @esa (Ref

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.674442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.674442Z digest=sha256:874da686546051774c128a57193f14bd2998dd5245442f37f4f8935bc78285e1

Observation 13f4137d-ea47-4bc9-be1c-29f93006e3fd · outbound

This paper cites an unresolved cited work.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.737593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.737593Z digest=sha256:a765a2631ef06563e6ab942c5d376a81249a127c1038525ce80e313fce65b3e1

Observation 0b78cc06-cefa-4b07-a45a-c6a9abbface1 · outbound

This paper cites an unresolved cited work.

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:42.823217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:04:42.823217Z digest=sha256:9a960b0504d425e18b7c3862a360caf300f867a95704922bb6ce936cee4c217f

Pith citing papers

Observation 785bc9c2-a6eb-4ab0-ab8c-725a10059b87 · inbound

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration cites this paper.

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:58:13.166747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T08:53:03.420926Z digest=sha256:3dd51ddacff87e9be5eaae4a64767261097ec2d59c34df3734cc7b6ece2ee265