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Paper Citation Record · LEDGER

The Curious Language Model: Strategic Test-Time Information Acquisition

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2506.09173.

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

pith.paper-citation-record.v1
2506.09173 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:47.445076Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:03:01.806138Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:26:14.568633Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69bb4aa9-2658-4f15-97e1-f21cccdc0e54 · outbound

This paper cites STaR-GATE: Teaching Language Models to Ask Clarifying Questions.

The Curious Language Model: Strategic Test-Time Information Acquisition STaR-GATE: Teaching Language Models to Ask Clarifying Questions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.242694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.242694Z digest=sha256:91105f48d3c34f78a24ff7f39fe79e09d6c5c112eb53fbfa053388aac9b0bb51

Observation 6bd0479c-d425-4d54-95f2-3ddc8fbbcaa0 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

The Curious Language Model: Strategic Test-Time Information Acquisition Reasoning with Language Model is Planning with World Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.753533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.753533Z digest=sha256:0009b95189318f8aabc0ef9f379aba591aa2759064ae64b3d810fde84824fc2c

Observation b59b1997-5a74-45d7-8a59-a4d8437cf4cc · outbound

This paper cites MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

The Curious Language Model: Strategic Test-Time Information Acquisition MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.870083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.870083Z digest=sha256:88c1c55bced6386d2006fb671a675a5fff570fa6d4ec0fb7223a8fa35e76d88c

Observation 05a6aeb9-8ff7-46d7-9e61-073466b3f52c · outbound

This paper cites Measurement Scheduling for ICU Patients with Offline Reinforcement Learning.

The Curious Language Model: Strategic Test-Time Information Acquisition Measurement Scheduling for ICU Patients with Offline Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.964690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.964690Z digest=sha256:e391d0b31e8db192b79f91dd5bc3369587d6bd17b1dfde9e8284f40bfe652b88

Observation f98c03a9-c97d-4de9-9377-afe58aa1ab0e · outbound

This paper cites Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations.

The Curious Language Model: Strategic Test-Time Information Acquisition Which Questions Improve Learning the Most? Utility Estimation of Questions with LM-based Simulations

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:58:47.790629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:58:46.127635Z digest=sha256:d2e41c8091b87e9fb9628e29002b9b738d596763d83ec5c1d2f0c8b2b5af8826

Observation 94282878-ff19-4c40-a6a4-1ee018028f13 · outbound

This paper cites ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning.

The Curious Language Model: Strategic Test-Time Information Acquisition ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.365832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.365832Z digest=sha256:28e1d334a4c856ae0cd0ddd58778b441eb7b1c6d4e4f1023dcaca33b1cf4dc4d

Observation a7fbfc17-c7ba-4ff7-bc93-5baf91af2076 · outbound

This paper cites Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain.

The Curious Language Model: Strategic Test-Time Information Acquisition Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.495364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.495364Z digest=sha256:7abc155d8779e8a39676cd66564eee0b1674eaec729e672f51e55d2154a85af8

Observation 9639fb9a-8020-40af-9ab3-ae59f1313afa · outbound

This paper cites BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments.

The Curious Language Model: Strategic Test-Time Information Acquisition BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.627887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.627887Z digest=sha256:1e41d63f4cab680851ff238a891b879d5483230f9c7e45a8996bb215bc21c003

Observation 24dc9495-3c69-4b8c-aa3c-958bd5a0408e · outbound

This paper cites LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error.

The Curious Language Model: Strategic Test-Time Information Acquisition LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.936577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.936577Z digest=sha256:6324f2ac396b490d58d0efe47c46a21ce9591dc9ecd74974f3b15b7ae8c409dc

Observation ced78fbd-dfd7-4beb-99cf-ca98cbdcc35d · outbound

This paper cites Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.

The Curious Language Model: Strategic Test-Time Information Acquisition Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:47.261138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:47.261138Z digest=sha256:3302f2e2e19cb6c85d3f28f9574494434a0b5f9d86bce6f867ff50cda03c1ba5

Observation 22bc747e-96fe-4179-9c5b-cc84d099281c · outbound

This paper cites Asthma” with CuriosiT ree Description:A sequence of actions and responses attempting to diagnose “asthma.

The Curious Language Model: Strategic Test-Time Information Acquisition Asthma” with CuriosiT ree Description:A sequence of actions and responses attempting to diagnose “asthma

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:58:48.311091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:58:47.369570Z digest=sha256:ea28f394b1cf87b902c8c109f72a1878a2634720ee63a5a89333f12072cd051b

Observation 8fe86bc2-0e6f-4a36-83ac-02e81c7900a9 · outbound

This paper cites Cystic Fibrosis.

The Curious Language Model: Strategic Test-Time Information Acquisition Cystic Fibrosis

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:58:48.121772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T04:58:47.445076Z digest=sha256:b39776cfcae29876a79373ef859f01d6db3a8f1eb5985b88edda0fb9a4fb931b

Observation 75b9db0c-f524-4b27-a236-4de1317c498f · outbound

This paper cites From Selection to Generation: A Survey of LLM-based Active Learning.

The Curious Language Model: Strategic Test-Time Information Acquisition From Selection to Generation: A Survey of LLM-based Active Learning

Reference 1924

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:47.100138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:47.100138Z digest=sha256:35991e06869ad2b0821f85c2f2a0e82210622ee308a6f5f7b4158f13d5ea36a3

Observation 964e3781-1e6e-4ced-94f8-b6ed99da58fd · outbound

This paper cites ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change.

The Curious Language Model: Strategic Test-Time Information Acquisition ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change

Reference 1948

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.799251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.799251Z digest=sha256:56748188c4de01569f093c648feada12d9c984fae9cf927395b3ee908bd2734c

Observation 8e128ae8-3488-47f2-a8c5-cfb31e39040b · outbound

This paper cites Questbench: Can llms ask the right question to acquire information in reasoning tasks?arXiv preprint arXiv:2503.22674, 2025a.

The Curious Language Model: Strategic Test-Time Information Acquisition Questbench: Can llms ask the right question to acquire information in reasoning tasks?arXiv preprint arXiv:2503.22674, 2025a

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:46.208571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:46.208571Z digest=sha256:c64cf22fd4149111cb3e9c39ed9c977a44b3819941ad23b9e97bc44d6cbe52ef

Observation 982eba3c-b974-409a-8c04-da97ecd9f86a · outbound

This paper cites The Llama 3 Herd of Models.

The Curious Language Model: Strategic Test-Time Information Acquisition The Llama 3 Herd of Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.606827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.606827Z digest=sha256:2d347b370c8390dc04861859667c3f7754a4a815cd9606528dfcfc4eb3b48777

Observation 5150090b-bc0e-47d9-950a-8ccc71325197 · outbound

This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

The Curious Language Model: Strategic Test-Time Information Acquisition ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:45.337095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:45.337095Z digest=sha256:c8c11ba559621e896d82849bc887b1c5c4b9bd16350478574e991b628f398b12

Pith citing papers

Observation f6d208a8-a66a-4587-94d3-19dbde66168c · inbound

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation cites this paper.

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation The Curious Language Model: Strategic Test-Time Information Acquisition

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:50:55.805294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T18:50:29.242287Z digest=sha256:49342a1b2e74de293cca8c467df3f1f36700b79f54c7b22c8f11421377bb00b4

Observation 82467fd1-918e-4602-9ea1-877595e6068c · inbound

CA-BED: Conversation-Aware Bayesian Experimental Design cites this paper.

CA-BED: Conversation-Aware Bayesian Experimental Design The Curious Language Model: Strategic Test-Time Information Acquisition

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:26:14.571799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T17:03:01.806138Z digest=sha256:139bd82a9c5d0a44f9fc621085c2fa59905e66f4607abb6dec550926d1c874a8