Paper Citation Record · LEDGER

Controlling Large Language Models Through Concept Activation Vectors

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.05764.

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

pith.paper-citation-record.v1
2501.05764 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:01.561067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.185433Z

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 923d0997-97cf-4627-a2ea-18dd84139fc0 · inbound

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs cites this paper.

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs Controlling Large Language Models Through Concept Activation Vectors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:01.561067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b8ad50-15ff-45a1-848d-612bda65a163 · inbound

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation cites this paper.

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation Controlling Large Language Models Through Concept Activation Vectors

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T17:17:32.243932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebef0b59-8eb2-44e1-8a69-0e328e139d75 · inbound

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models cites this paper.

VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models Controlling Large Language Models Through Concept Activation Vectors

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T13:45:26.189146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebba46d-834f-4f7a-a05e-84c60b13b419 · inbound

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study cites this paper.

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study Controlling Large Language Models Through Concept Activation Vectors

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:03.186910Z

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.