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Paper Citation Record · LEDGER

COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks

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.

pith.paper-citation-record.v1
2305.06754 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:35:03.292873Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:03:05.538793Z

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 4735bbed-f1c8-43ed-8207-8a3f23f34a31 · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:03:05.542995Z

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.

source=pdf_text observed=2026-08-06T23:03:04.965111Z digest=sha256:b8d9c254d776d894a0baccb63858d91f3374459804f15c0031d13a21d85bdd5a

Observation 4aecff99-1014-4c9a-b507-d48e57410704 · inbound

Integrating attention into explanation frameworks for language and vision transformers cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-15T17:35:03.292873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:35:03.292873Z digest=sha256:9139317644c31432105b5f478bece849768189e4f2b27f56f0cbd355b2e36f62

Observation b548a272-32cc-4b59-a84c-10fb965b0d34 · inbound

Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-03T05:20:45.736201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:20:45.736201Z digest=sha256:ee1b3a990ada403aaa9df2ea5348e7e5f2d7c1631f96041beb3ef4f160312934