Paper Citation Record · LEDGER

Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.00690.

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

pith.paper-citation-record.v1
2403.00690 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:21:08.201292Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:28:48.851430Z

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 3361bfd8-115a-4e92-a120-5aaf91ceb2b5 · inbound

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

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T16:21:08.201292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522511b7-a741-47d7-a14b-91d7241ce5bd · inbound

Codenames as a Benchmark for Large Language Models cites this paper.

Codenames as a Benchmark for Large Language Models Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:39.072749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f7a0a9-6982-4bba-a659-d9bf1f1a1796 · inbound

MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems cites this paper.

MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T20:41:21.539920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a94ecba6-1f0b-4093-b1d3-2b4698a06eab · inbound

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:28:48.929933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.