Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.01016.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:28.557986Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:16:40.224002Z
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 3cbd8b23-e9ac-430c-a1e9-f613290efbcd · inbound
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval cites this paper.
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:28.557986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 796c94fe-fde9-41d9-b702-46acd206a05f · inbound
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations cites this paper.
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:16:40.226959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.