Pith. sign in

Paper Citation Record · LEDGER

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1907.13440.

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

pith.paper-citation-record.v1
1907.13440 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:25.353316Z

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 245c78ca-da39-453a-9ec7-6f0193fb2cc9 · inbound

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents cites this paper.

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:27:40.722285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T03:27:40.524895Z digest=sha256:adedcf5421ae6b31c17fbb0bfa2acc1c84b90519fd8664f81b4f1123fa1b4979

Observation f5ab3c21-125f-4541-ba01-2c416faf65c3 · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T08:22:44.295153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:84596a9ccef7d51685f6ac042fbc39b2de438595131b0faa2951bb207904929c

Observation 71483446-ed21-439e-ad46-9246f8fc4b42 · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T12:37:17.632156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:35:19.379364Z digest=sha256:970a598b2ded68cb191f19860aaa851a81a45670bdee653bcd88ff8f3307efbb

Observation 4dd052ae-f78b-41b2-95d8-d05ce8033734 · inbound

VRAG: Learning World Models for Interactive Video Generation cites this paper.

VRAG: Learning World Models for Interactive Video Generation MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:25.353316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:25.353316Z digest=sha256:7e449e3bd42993f3d88a7f6c00f2202e3c5d6b46fa1e52c5fba43dae343a5871

Observation 69459973-4e23-4b37-8620-6369ffb101a3 · inbound

Hierarchical Reinforcement Learning with Targeted Causal Interventions cites this paper.

Hierarchical Reinforcement Learning with Targeted Causal Interventions MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 1528

Resolution
unresolved
no resolver link, observed 2026-08-06T19:58:59.435876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:58:59.435876Z digest=sha256:2774b4ae318662220d85e0f23dcc3a125d7d11495cdc827ba00a8fe28255d75c

Observation b2f76c06-c46e-40de-8123-2aa7a488c8a0 · inbound

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley cites this paper.

StarDojo: Benchmarking Open-Ended Behaviors of Agentic Multimodal LLMs in Production-Living Simulations with Stardew Valley MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:43:20.970083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:43:20.970083Z digest=sha256:77ac06d91315c12cf91e9b28112a7a65dee1c91c85e6abd1950813f8df75fb56

Observation f5cf9446-1f41-4d73-a477-67dceeaac09b · inbound

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games cites this paper.

A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T10:51:56.541888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:51:56.541888Z digest=sha256:0658b1d76d5b5db4aee20cd1b3465c933461a45620996cbb9415fa7d2547fd28

Observation 8fea6ddd-2836-4aa9-aa4f-fdf6c8bf2207 · inbound

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments cites this paper.

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T23:58:44.754173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:58:44.754173Z digest=sha256:345d30bda6c39b5269bf26024e5db79de555134c72f0e67de0a483e4a85d2599

Observation f71ed3c1-8521-4aa3-847b-219a02fa04d9 · inbound

BuilderBench: The Building Blocks of Intelligent Agents cites this paper.

BuilderBench: The Building Blocks of Intelligent Agents MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-04T11:20:18.621222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:20:18.621222Z digest=sha256:a237a791f3f0f65affee56d1fa3e67941acb4e2c5e7d53062d67f121c0f3f667

Observation 8cabdbed-ea6a-4207-86b3-03c72f6951c4 · inbound

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention cites this paper.

Recurrent Autoregressive Diffusion: Global Memory Meets Local Attention MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T21:59:29.356637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:59:29.356637Z digest=sha256:cfafebabb4096f87cf0796a933fdb061599af2ca6e26b09284058be021dc6ca6

Observation a5ec51cd-bff7-4589-b5c9-ccc14868f619 · inbound

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? cites this paper.

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games? MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:02:05.490424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T01:58:39.476408Z digest=sha256:ffdd71ec7e99144d9d088f1ec6e57aefccff1f80d370b660afd2e31c98ec7af4

Observation 3afd91e9-6962-47f8-9d81-3ecc8af6eb4f · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:00:21.543656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T04:59:48.867927Z digest=sha256:72c8d63bbe99ad434b4a27238544ca92336f2d518ddd443185ac49c37866b5e2

Observation 2cfa8645-05de-444f-942e-29cd67afae8d · inbound

Mitigating Compounding Error via Video Representation Regularization cites this paper.

Mitigating Compounding Error via Video Representation Regularization MineRL: A Large-Scale Dataset of Minecraft Demonstrations

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-30T13:09:35.590051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:09:35.590051Z digest=sha256:588d01cb516bd7e7b3956434471fcec8c899fcbe01674f72854a87990178b020