Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Context-Aware Clustering using Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00988.
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 2026-08-07T11:28:12.490326Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 57bf3754-5f83-4fb7-a50c-e5c9aeebc0e3 · inbound
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration cites this paper.
In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration Context-Aware Clustering using Large Language Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:28:12.490326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d33105e-90d1-4ef1-a68e-1dab57f2f253 · inbound
HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization cites this paper.
HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Context-Aware Clustering using Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:02:42.516483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f311f3a3-cccd-4b2e-80d7-a3c507387065 · inbound
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale cites this paper.
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale Context-Aware Clustering using Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T21:48:36.561116Z
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.