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Paper Citation Record · LEDGER

Mechanistic understanding and validation of large AI models with SemanticLens

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.05398.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.05398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:59.376754Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:35:59.044258Z

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 7ce07bfb-ee83-438a-b1ac-c207079920bd · inbound

From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance cites this paper.

From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance Mechanistic understanding and validation of large AI models with SemanticLens

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:59.376754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:59.376754Z digest=sha256:09ca2baddb5f83c24f1a90a4e17abd0a17d34db699eeec6e08af19f8018d4de0

Observation 707e8444-3ebc-4b04-9ec1-4ca34be94500 · inbound

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique cites this paper.

Relevance-driven Input Dropout: an Explanation-guided Regularization Technique Mechanistic understanding and validation of large AI models with SemanticLens

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:35:59.110331Z

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.

source=pdf_text observed=2026-08-07T13:35:51.500582Z digest=sha256:ccb630625a9cd5715af41255c3dc9b4938dbc64be18e9b032c72b371420c5bfc