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Paper Citation Record · LEDGER

A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.03293.

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

pith.paper-citation-record.v1
2310.03293 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:21:30.751235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:17:02.525939Z

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 f9eab0c8-9c59-4acf-adcb-ad9d3001b822 · inbound

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning cites this paper.

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T05:21:30.751235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:21:30.751235Z digest=sha256:c7e782584d53be7e7b91ec123917878a94b4a2eb5896ef8abdedacef2287a6aa

Observation 2094f638-aa75-48fe-b332-ce735542364b · 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 A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:17:02.528514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T01:12:50.314892Z digest=sha256:f5583d99ce8b064af1360919cdfc0f4a85cade279d3e33f733e069753de9ebf2