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Paper Citation Record · LEDGER

Uncovering Safety Risks of Large Language Models through Concept Activation Vector

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.12038.

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

pith.paper-citation-record.v1
2404.12038 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:19.638500Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:21:04.586767Z

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 5864e4db-8df3-4dce-830e-4957a71edba1 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T12:13:19.638500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:19.638500Z digest=sha256:03a10c5799fd4552594cf27715110e04e8b251106860a37c7166fd38969ec31c

Observation 258cad88-9095-469b-af29-54299a4bf63a · 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 Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T17:17:31.819851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:17:31.819851Z digest=sha256:cf6b41d0a7ee3e23d7b08c57970cc3361dd1a6b9bd4e5f011b020d6c4e312c8b

Observation 50128bf5-2104-432c-8ff7-0d38647da5fd · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:37.875871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:37.875871Z digest=sha256:3331e7e40add2bdc6efc3f232db0beb38567db6db39ba97b8e534e712a4cfe58

Observation 2b24c292-b1f9-4fc1-bc01-f5896cb04529 · inbound

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks cites this paper.

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T15:19:28.783558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:19:28.783558Z digest=sha256:c0958de16871456e9e97d9ee6ab11481841eae2407fb5d9342947cc628dbe98c

Observation 602cc282-fca1-45b4-9984-6468cb4cea3a · inbound

Probing the Difficulty Perception Mechanism of Large Language Models cites this paper.

Probing the Difficulty Perception Mechanism of Large Language Models Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T11:17:49.355098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:17:49.355098Z digest=sha256:75eaeee8afc2931558a00b571efcff0d9764fdd6f172de1a59e65a7d004c90a3

Observation 0d42f3c5-fb71-41d3-a016-e7e41c7e5c61 · inbound

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-03T18:33:09.239553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:33:09.239553Z digest=sha256:bb38278b2c552d7f9c821bc2c29236fd84e9c084b5b6e356b688c9225bf7318f

Observation d7161955-188a-4d9c-80d1-901d1077197c · inbound

Why Do Large Language Models Generate Harmful Content? cites this paper.

Why Do Large Language Models Generate Harmful Content? Uncovering Safety Risks of Large Language Models through Concept Activation Vector

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:21:04.601411Z

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=pdf_text observed=2026-05-10T15:31:13.545599Z digest=sha256:ca1806d5578c847390dda5f70eda1fc5d5cdd4d9f5c090eb84a0b4629fb6d682