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Paper Citation Record · LEDGER

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.09238.

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

pith.paper-citation-record.v1
2312.09238 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:33:07.073601Z

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

1
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 c67720e5-afe2-43b0-9573-d62ed465c0e1 · inbound

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble cites this paper.

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T12:33:07.073601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:33:07.073601Z digest=sha256:e68ef1c099e275d8e339eb8fbd52ceb00a03ad0e28bc259615e0e8c0f323cab0

Observation b208de04-6d1c-4df6-a251-44cad5928692 · inbound

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models cites this paper.

MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:50.532633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T18:19:10.686438Z digest=sha256:6f22f2aae16373bbbdf50e108636d745cc9707e51e4deb90395469a603f22e3a

Observation fa7d6cf9-2de4-469a-9cbe-3017f2cee930 · inbound

QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents cites this paper.

QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:05:29.000069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-01T05:59:13.631078Z digest=sha256:13463aa3d5f5b4bff8624b9a738f1e0ad763da928ecdd9a184235ea7e9f9ab96

Observation 7c4141df-eda4-4595-8597-a711f02b5395 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.890137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.890137Z digest=sha256:f3d56602d533e9853380aa13c408a0472ab1975dc84ddbbd1d4584e129c150df