Paper Citation Record · LEDGER

Keep CALM and Explore: Language Models for Action Generation in Text-based Games

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2010.02903.

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

pith.paper-citation-record.v1
2010.02903 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:40.731232Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:57:26.616100Z

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 043a0fb5-fe90-4910-85f0-80a1f879f730 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.247205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 769bb20a-2062-40da-95be-25ce86781d8c · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 230

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:57:26.618750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2f8b589-b6d7-43c3-adcb-d7cbfe2a1eed · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:12:57.636442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c09f3c2d-34ed-4d59-8f9d-e7736a086e9a · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T09:29:27.603036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99f315af-1619-4fde-a573-5a9787d0ae87 · inbound

LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation cites this paper.

LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:40.731232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6e84a8-dbe5-4d56-bff1-3a6c33cbfc4b · inbound

TextQuests: How Good are LLMs at Text-Based Video Games? cites this paper.

TextQuests: How Good are LLMs at Text-Based Video Games? Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:33.682799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e562ecc5-f39a-4722-8bc8-e1cbaa3c576a · inbound

STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training cites this paper.

STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-11T10:50:54.419477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.