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Paper Citation Record · LEDGER

ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.06097.

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

pith.paper-citation-record.v1
2409.06097 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:38:49.318840Z

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

0
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 98159206-465a-480f-a5e9-fd9b4ed68d49 · inbound

Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions cites this paper.

Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T13:00:19.806591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:00:19.806591Z digest=sha256:92a90bff9ebc589d6f9b37b862949c90d2baba8d93cd8cc6541d6eb4bafb7bf8

Observation 2546dd87-6e51-4ea9-8c82-246886313006 · inbound

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

Pause or Fabricate? Training Language Models for Grounded Reasoning ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:05.306338Z

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:a7c4bfa2639f9f5f31c96242a14a30519528ebc16ec3fa75b9a6c4d2617fa4f5

Observation da2088b9-409b-4967-9ade-39805997473d · inbound

Agentic Coding Needs Proactivity, Not Just Autonomy cites this paper.

Agentic Coding Needs Proactivity, Not Just Autonomy ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:46:00.351417Z

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=2026-05-11T01:04:24.810916Z digest=sha256:f3304da53eb6ccb0b865be97c8088d9161cb960517c6362ab7cf01a6950cbb1a

Observation 7b5360ef-23dd-402a-a632-772ce166ca29 · inbound

ProactBench: Beyond What The User Asked For cites this paper.

ProactBench: Beyond What The User Asked For ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 109

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:16:16.066791Z

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=2026-05-12T02:14:01.145443Z digest=sha256:ef711fb924274cf1923e0e1e408d85e2f9d8c0089075281f5c77168dab10276b

Observation d41cc25f-238b-40a3-9861-7fe3635f5f02 · 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 ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T10:38:12.061067Z

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=sha256:2e3a9860284896677fb7f45fe8d164956eb21cbcae1fc771697a70f7ed661a7e

Observation b620869b-b95e-40e7-a3ab-cd5a138a2bb0 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 154

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:33:56.042811Z

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=2026-05-21T01:31:07.031424Z digest=sha256:73fd6422983212fd86005e84776b6764752e02a4b4ba2f8a16498f28a6ef1a66

Observation f3565ad3-3a90-4818-9ead-bb7d061061c5 · inbound

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments cites this paper.

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T16:53:40.571485Z

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=2026-06-29T16:51:36.524194Z digest=sha256:73166465fc340b01f96794f0b95e3eb626f6af09b4d9395c941ecf7441999b1c

Observation 87029c25-0b19-45b4-a0d6-65ab73c44352 · inbound

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

CA-BED: Conversation-Aware Bayesian Experimental Design ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:26:14.587515Z

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=2026-06-28T17:03:01.806138Z digest=sha256:1e8f0865183ecc5572c9028bcaccc70083233f9a1dfa339a31df204b3a53b08c

Observation 5ca535ab-c692-4b81-8a52-8236f990a652 · inbound

LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans cites this paper.

LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-14T08:37:17.973015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T08:37:17.973015Z digest=sha256:2d180d8b9ca2f5125cbcda4d28e653b68e38dbc4b879e3f5a804f36d92a88e77

Observation fd1498eb-143d-4a5c-9754-b670e5b93d47 · inbound

One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies cites this paper.

One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T08:21:01.845484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:21:01.845484Z digest=sha256:437cc2bb1710f2ac7f624891bdb6e5a93fd79a4589988ebff4906b2b09f4c58a

Observation 30df7dbb-8bcb-4076-942b-b3dcfe3db8e4 · 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 ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:38:49.318840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:38:49.318840Z digest=sha256:a33e8034ef1978e24addb2155242e39b39d3c578a08e86311ce5056f5426bf67