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Paper Citation Record · LEDGER

LG-CAV: Train Any Concept Activation Vector with Language Guidance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.10308.

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

pith.paper-citation-record.v1
2410.10308 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:53:28.816284Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:43:39.700448Z

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 1a2d70c6-c475-45ec-ac05-6ca4af3a638f · inbound

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights cites this paper.

Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights LG-CAV: Train Any Concept Activation Vector with Language Guidance

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T20:53:28.816284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:53:28.816284Z digest=sha256:24d7dc169597d631d21b4dd4c6614616eca78189ff0549b9cc2ee5fee7fcf96c

Observation b3ebaf48-5ddb-478b-b7b2-0f1619437a7f · inbound

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks cites this paper.

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks LG-CAV: Train Any Concept Activation Vector with Language Guidance

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:43:39.905213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:34.257223Z digest=sha256:0af5f902e06ae98f5208cad6fdcd08593149b70c590dd0e6ce42cb622be4d6d2