Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.09716.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T04:43:15.053131Z
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 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 2026-08-09T06:31:02.800959+00:00.