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Paper Citation Record · LEDGER

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2009.11352.

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

pith.paper-citation-record.v1
2009.11352 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:38:49.145480Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:34:38.184197Z

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 26ba1ccf-8385-42bc-8fc2-6136134873ad · inbound

Learning to Ask: Conversational Product Search via Representation Learning cites this paper.

Learning to Ask: Conversational Product Search via Representation Learning ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:26:04.711047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:26:04.711047Z digest=sha256:98dd84fe74b4ae81edc016f828f95c2d6a0c1c180dd2c2096dc636765a827fbd

Observation 8f38635b-2d4c-4716-9281-c4c68ceef55d · inbound

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications cites this paper.

Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:19:29.987752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:19:29.987752Z digest=sha256:b4327c6eacd53f1973127719f935554815a239753f519466956d64cd6a42daa0

Observation 747f39ec-16b8-4897-b01e-f14b4eb90adb · 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 ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T13:00:18.597840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:00:18.597840Z digest=sha256:4a8f2b4bb18c98c870c6d1b280c174593b6e0f2fbf04684dd5a0746660e5fc2c

Observation a3caa77a-b680-4263-8272-1b6ca5740d13 · inbound

HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? cites this paper.

HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help? ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:45:49.853921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T18:20:22.151216Z digest=sha256:747f3f5de9c89ef5599619ffb11db96af69e3325aa14a0bb9fc741d12a38ee9e

Observation 0850f4d9-5fa2-4016-b7e4-22045ba9457c · inbound

Clarification Is Not Enough: Post-Clarification Answering Remains the Bottleneck in Multi-Turn QA cites this paper.

Clarification Is Not Enough: Post-Clarification Answering Remains the Bottleneck in Multi-Turn QA ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:34:38.185688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T11:26:11.374994Z digest=sha256:0b1aeb536e4d4325cbb9abf675beb9c8d53102a61503282fac21f0e32fc2e5fb

Observation e3ffe5d8-dc3c-46b1-ac4b-b4919d88006b · 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 ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T08:21:00.569126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:21:00.569126Z digest=sha256:7baf6d5b7141170d4aaced57de21cfd1110af81e5d1e5da2481bdb4dac1fc00b

Observation 9118909c-1db4-43e3-bf8d-41860555497c · inbound

Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding cites this paper.

Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T21:58:36.401523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:58:36.401523Z digest=sha256:e187a313dae3f6dfcd0ef509071c34d2611cb935c0e80ff293d47205cf75c8b6

Observation d9904d4c-3097-4e72-b62c-e5fa84417cc1 · 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 ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T00:38:49.145480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:38:49.145480Z digest=sha256:a99af40881c39dd95afae592cb3c803a6a1101ff490bb44b06f7ffd2a444c5f0