Pith. sign in

Paper Citation Record · LEDGER

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.18243.

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

pith.paper-citation-record.v1
2403.18243 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:31.453563Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:21:36.019089Z

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 9dc7b0ee-22a9-4578-8655-c83cb11ce897 · inbound

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations cites this paper.

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:31.453563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:53:31.453563Z digest=sha256:fb074faf0346a806398c82cfec3520466fc52f717aa2a6147da0c587aba1870d

Observation caf75ea3-bdf1-4e3a-8baa-3959a97ba84a · inbound

Unlocking Speech Instruction Data Potential with Query Rewriting cites this paper.

Unlocking Speech Instruction Data Potential with Query Rewriting Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:21:36.125549Z

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.

source=arxiv_source observed=2026-08-06T18:21:35.616120Z digest=sha256:795e1af98d6c7ae4a5dd07be3210dce0ab2d9867f48bb87c2798348c83325de1