Paper Citation Record · LEDGER

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.09716.

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

pith.paper-citation-record.v1
2310.09716 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:56:22.319373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:06:10.399710Z

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 7aa23094-221d-4766-82c9-fc8b3ede0d98 · inbound

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry cites this paper.

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T04:43:15.053131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7ffc803-6142-4ace-976a-0a58cbc1c8cb · inbound

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation cites this paper.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:41.727767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e68d54-7f8a-4167-bb2e-bed4084c9bad · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:34.734211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84fbd07-ad77-4f84-8028-39cfca8ddd70 · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 277

Resolution: unresolved; no resolver link, observed 2026-08-15T15:56:22.319373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9570180-0025-40fd-b1dd-b1c28c882188 · inbound

NILC: Discovering New Intents with LLM-assisted Clustering cites this paper.

NILC: Discovering New Intents with LLM-assisted Clustering Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:28:01.229113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8838a317-986b-4b96-afda-fc649ac4daa4 · inbound

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines cites this paper.

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:06:10.401655Z

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.