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Paper Citation Record · LEDGER

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.15224.

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

pith.paper-citation-record.v1
2312.15224 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:21:08.259123Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.949860Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ba99099e-9261-4b56-aca5-e1911d58661d · inbound

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games cites this paper.

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T16:21:08.259123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:21:08.259123Z digest=sha256:c1ee7f53f928f88a3b80f900546d0b71112ef0e1231191fcebaef6d70e6cd0c0

Observation 95416fa4-1280-4343-b7df-231565239cd6 · inbound

Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration cites this paper.

Effect of Adaptive Communication Support on LLM-powered Human-Robot Collaboration LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T12:42:07.206594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:42:07.206594Z digest=sha256:eac4997becb6b28fc43c3b42dc255ca6d3663d2f9af06fedc40b082d634cc918

Observation 9b45b00d-1902-4c86-8863-bc51ef9fd3d4 · inbound

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization cites this paper.

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T21:58:39.445479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:58:39.445479Z digest=sha256:d3b45f722bea13fb8c65e34d7b527047088bb96e4cf323d9d5f2d94a7dec759e

Observation 2a22324c-1b75-413a-8393-161f333cd660 · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 160

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:47.513015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:47.513015Z digest=sha256:12f8098e431eaef9251b9639cd3ccd693c7a20f999769f564e6f9611f14ad56c

Observation a2f71c15-68d1-4123-8678-1327b178039e · 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 LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:49:39.116735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:49:39.116735Z digest=sha256:b7aa2cd89f6245d7de6652548574fdbea8841402d6cae20ed6aac34912d6d50b

Observation 6876bada-1a5d-4357-8c77-3ec17631ad53 · inbound

DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration cites this paper.

DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T16:14:31.920649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:31.920649Z digest=sha256:086784c8f41a0b90669455b6fed5a2890701d0ff205f3c1ff1dd575ca53225f3

Observation 1e88e328-7bbf-4c08-a455-bbcc99027e6e · inbound

When Should Users Check? Modeling Confirmation Frequency inMulti-Step Agentic AI Tasks cites this paper.

When Should Users Check? Modeling Confirmation Frequency inMulti-Step Agentic AI Tasks LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:01:08.974954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T08:59:35.944554Z digest=sha256:cd6eabb56c66f88c6bf4f2d0a3f1ee2b132309a8e7f79645bdf4f3515fb2a987

Observation f9eaf3d9-0609-4f31-8fea-2dc6680a733c · 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 LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:58:02.951243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T09:46:30.702256Z digest=sha256:1843e0ed1073dcf4cd1b7f70a57ff876a35a60a8b908850105929867a1662430