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Paper Citation Record · LEDGER

The Curious Language Model: Strategic Test-Time Information Acquisition

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:8bea159c0678610eab5752ddf9d0d4786fd841d824d59272cffdd25c6f69610a

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:e68436fa8dfab5d7a712e25612d940e13c006e06d182beca39c439cad8acb67a

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=sha256:0687f08b619d77501e2e40f31e7ee3520e228645ecc3e281ec5275b6052c63dc

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=sha256:86c611e9336d4f9c9a6e350707b12c1ce97ad69dee22bb65617e9052be6abcf5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:58:46.127635Z digest=sha256:0b16f69ec040d20bee37cebc5f4ca9f63f4335c692c37a077c690a2a2663b8d8

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:fdf5579cd515b550ea3f2d2e22ab806fb605681709acf12be7d40cf7bc2459b9

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=sha256:360bc51460cb663e6fbd629cf4e348d06c9bbddfc4bfb1cd2ddb67e25946e315

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=sha256:4a808a4a36409e228a30505083866681edbab70b75d9d97e1304ce6c155bb7bf

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=sha256:901fd616faa797ccc89cd469a623c42cc937004bb83ba37cd7c4d40d43bad0f3

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:e6c6a5edc676fd63d659f1b2e3d2b1236cc5567185d8ec75899b17e386e16db9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:58:47.369570Z digest=sha256:8d9f41f19894f9c34f38cd4a0422b3afb9c7fa31bdbb19f18d3f253454ece320

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:58:47.445076Z digest=sha256:a38cc49b6a97700646ee07c120dcc30ec595d70a5f9c3847f6a5fc08695e931d

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=sha256:30e1b72984924c67d1f56b5077d4d08885c906ca5277697bd924e70ef82f0090

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=sha256:425d277ac5fb510ee7adef587cd25bdde5258671d2e4d3f0700250baf6434318

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:f18c4cb1a921a9a5470fb0411e5403bc359234642f011a9353eeb84cf84b594d

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=sha256:3ef21c153ae3bd35e9ff016294913a46829f52c45f959f21f53ee0f4c4a91688

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:f9d89cbb335452523d2e950f6e88df061ff4951a21bf0c855282e43b943e3a14

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T18:50:29.242287Z digest=sha256:4d684ee64ff8c4dc3954dceca36453f592679e447d5c5e922344f37485d0f539

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:03:01.806138Z digest=sha256:fcc780b842df9b6b9a2a5a1e1d4ee5577825d005ab062eb25014512bd6d26623