Paper Citation Record · LEDGER

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.14860.

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

pith.paper-citation-record.v1
2502.14860 v2

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

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:01.896686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:26:14.617347Z

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 65f1ad14-dae2-490f-b729-bad662321d82 · inbound

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum cites this paper.

BehaviorSFT: Behavioral Token Conditioning for Clinical Agents Across the Proactivity Spectrum ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:01.896686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 673dff5e-42c1-4845-97dc-2fade4c69f74 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:42.818394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

The Curious Language Model: Strategic Test-Time Information Acquisition cites this paper.

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.

Observation 9447226e-1fec-40d0-973a-9302e2d6e7de · inbound

PrefPalette: Personalized Preference Modeling with Latent Attributes cites this paper.

PrefPalette: Personalized Preference Modeling with Latent Attributes ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.241256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f2576a-6d45-4a62-8264-ffd865d367f6 · inbound

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration cites this paper.

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:52:50.274725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10faf821-4273-4169-9a29-6cd3311cbc60 · inbound

Omakase: proactive assistance with actionable suggestions for evolving scientific research projects cites this paper.

Omakase: proactive assistance with actionable suggestions for evolving scientific research projects ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:21:01.506170Z

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.

Observation e0a4bb4a-0f3a-4e36-8b4c-cd2e4c8e541e · inbound

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

CA-BED: Conversation-Aware Bayesian Experimental Design ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T21:26:14.621041Z

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.

Observation 919727a7-8220-416f-bfff-9ce2953554a0 · inbound

PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents cites this paper.

PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T02:21:21.414682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85d4989f-9666-46ca-8a22-39b9e530ea8a · inbound

MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models cites this paper.

MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:14.559896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a6699d-507d-425f-9db0-ed26da54bea9 · inbound

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution cites this paper.

Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T00:20:37.167393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.