Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.06754.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:35:03.292873Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:03:05.538793Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 4735bbed-f1c8-43ed-8207-8a3f23f34a31 · inbound
Cross-Layer Discrete Concept Discovery for Interpreting Language Models COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4aecff99-1014-4c9a-b507-d48e57410704 · inbound
Integrating attention into explanation frameworks for language and vision transformers COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b548a272-32cc-4b59-a84c-10fb965b0d34 · inbound
Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
Reference 323
Source-reported events for the cited work
Unavailable: canonical work link unavailable.