Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Query Understanding in the Age of Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.16004.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:21:09.359135Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T18:40:14.653043Z
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 11a6a21a-0419-4b74-9002-04882f5f2711 · inbound
Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance cites this paper.
Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance Query Understanding in the Age of Large Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:21:09.359135Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ca69d4e-50f9-4836-8d68-c22488096f19 · inbound
Explainable Information Retrieval in the Audit Domain cites this paper.
Explainable Information Retrieval in the Audit Domain Query Understanding in the Age of Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:12:05.570094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc7ffec7-8f27-4b90-8303-b5d522a5e87e · inbound
Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study cites this paper.
Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study Query Understanding in the Age of Large Language Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:40:14.656645Z
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.
Observation 5f270166-20e5-4fc1-bbf4-9d714584e944 · inbound
When More Reformulations Hurt: Avoiding Drift using Ranker Feedback cites this paper.
When More Reformulations Hurt: Avoiding Drift using Ranker Feedback Query Understanding in the Age of Large Language Models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:06:40.531004Z
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.
Observation 84d7ea81-c540-4a2b-b6f6-7041899f4e16 · inbound
SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach cites this paper.
SLMs as Multi-Agent Routers: A Progressive SFT and Reinforcement Learning Approach Query Understanding in the Age of Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:47:04.667006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.