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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:22:36.616140Z

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:3c78d9ffb5ec8485d4c676ab424deaf10fc0f13680ccb4fa97143f119bc66429

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:b78a7311b973f1c77fd3773c361fca1edc9577d1ef9ba05710212227f3ff2491

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:1ca71da3e1c2a9ffa7eb3e71db1a996b1b7c765d3c778fa3bdde7310bb2845e0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-13T09:29:27.173784Z digest=sha256:de6a5d01e2e1a24118ad0485be4ddd6d46ecc9ff7ea72245b9f7b7588ec8856a

Observation db6d92bd-d6d4-49bb-9b9e-173ef398cb9b · inbound

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models cites this paper.

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T19:34:41.899943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:34:41.899943Z digest=sha256:2d1ea1efb29ddaa1363114614992da83515a1beebac3b6a7fa700b463110ea69

Observation 8e1df936-1d85-43a0-8ea3-f5121bb8aa83 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T16:29:56.982764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:29:56.982764Z digest=sha256:9d1bd49f6ec0ea5514852eae3ff2f638f2346486e00a12f06318bb044ba745d9

Observation fcb51105-f3ae-488e-b304-993291b9b207 · inbound

Sparks of Science: Hypothesis Generation Using Structured Paper Data cites this paper.

Sparks of Science: Hypothesis Generation Using Structured Paper Data Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T12:22:36.616140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:22:36.616140Z digest=sha256:568fb8b258d90233b688753e3f9f1839ef7f15026f1b0c79ae155145154e590c

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.

source=pdf_text observed=2026-08-07T13:53:40.731232Z digest=sha256:f8bd109dfda7fead64ce694f75d0747af9c92d6133f2cb757efc339b2a7754f6

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.

source=pdf_text observed=2026-08-06T10:32:33.682799Z digest=sha256:b53d18c63a43b7c6b09915258990fd9b3f0fc3a8b4a314643ccafcad2f44111b

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.

source=arxiv_source observed=2026-07-11T10:50:54.419477Z digest=sha256:bf03ac0d918ccff28944049e1dfb912db944dadff66e32dd454131b0aba04eb8