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Paper Citation Record · LEDGER

Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.13788.

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

pith.paper-citation-record.v1
2410.13788 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:38:49.693753Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

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 24b0072a-09d4-4a39-ad76-34d606e14248 · inbound

UserBench: An Interactive Gym Environment for User-Centric Agents cites this paper.

UserBench: An Interactive Gym Environment for User-Centric Agents Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:26.584733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:09:26.584733Z digest=sha256:d2695207c36e1e6ad76eff204a57112ac30726195521df3531b63a3601c55de0

Observation 581bed7a-89fb-429f-a9e3-269d4aaae68e · inbound

Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks cites this paper.

Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:30:18.465720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T11:29:06.374289Z digest=sha256:7a1c92a474992113813f662e46b4beff3f57f8e494232fdf6398fe3328ef565a

Observation bd1ece00-ed63-45d7-a228-40bc8dd46e4f · inbound

Pause or Fabricate? Training Language Models for Grounded Reasoning cites this paper.

Pause or Fabricate? Training Language Models for Grounded Reasoning Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:05.146444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T03:01:58.366028Z digest=sha256:6300bf714f5f0b2aca5f99d977fba6963aef620fbaf10d3c6efe26eec87700f6

Observation 0626afd5-eb64-4452-8ec2-9d4204a3b953 · inbound

Alignment has a Fantasia Problem cites this paper.

Alignment has a Fantasia Problem Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:31:07.484761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T21:37:54.545865Z digest=sha256:00f07cbc32adb6b56e31f4c83cb25626900b6ee1c2a581e6977591f549f6f619

Observation b5b451e9-6167-4039-8146-42b2df853f5e · inbound

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants cites this paper.

Quantifying the Utility of User Simulators for Building Collaborative LLM Assistants Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:36:50.068423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T02:28:13.317630Z digest=sha256:6c085c6b2b57dadc0c5ca722008ef4322db620c2037f50f31d472a92ca760c90

Observation 6b0e2b99-79d0-4ece-b405-ba56ca8b5d1a · inbound

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools cites this paper.

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:17:02.595449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T01:12:50.314892Z digest=sha256:3c5c3897477fa6d3a2696f7854c3c975a320777fe6a742fc437b2e3cbacc691a

Observation cf91daa6-ba99-490a-a1f8-5b94498c5c37 · inbound

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science cites this paper.

SCICONVBENCH: Benchmarking LLMs on Multi-Turn Clarification for Task Formulation in Computational Science Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:38:12.135263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T10:36:09.724234Z digest=sha256:cfe0ecc1353e63fb95eb4df5269f2eb61b389216c165dde48900e64735f81080

Observation 21d4e8f0-95b7-4dfb-85f3-5d742f48ba67 · inbound

SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart Homes cites this paper.

SMH-Bench: Benchmarking LLM Agents for Environment-Grounded Reasoning and Action in Smart Homes Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:19.774943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T14:45:13.371006Z digest=sha256:59a57f39e33d912a3ea78153e1720846fa3a650bab7fbfcd8e14c8aa42b22422

Observation 11e0a55f-a1b1-41da-8f47-f65a80862b64 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:56.438979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:a08301ecc799aa04461475c87498dd86098908536203d607b1cb188abb03cff2

Observation 1e50d021-a4c7-490a-9feb-3c25d658de7c · inbound

Interactive Task Alignment as a POMDP cites this paper.

Interactive Task Alignment as a POMDP Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T21:04:43.137464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:43.137464Z digest=sha256:ecf2749e0d7222a4a936d0157ced509b91e8937e6f54ff198c1f361719a5e73d

Observation 8409932e-1fb1-486c-bb9e-a0c67c9f266d · inbound

CLAIM: Leading Open-domain Active Clarification of Large Language Models with Uncertainty Measurement cites this paper.

CLAIM: Leading Open-domain Active Clarification of Large Language Models with Uncertainty Measurement Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:38:49.693753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:38:49.693753Z digest=sha256:dd68dc8f966df13d228af4071ce9c62dd75c7aa96b9a86a6837a916833a8700d