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Paper Citation Record · LEDGER

Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.13752.

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

pith.paper-citation-record.v1
2404.13752 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:18.355760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:37:15.906396Z

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 431b9750-3578-4333-a88a-f05caaafb2cf · inbound

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents cites this paper.

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:24:32.669796Z

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=2026-05-14T21:24:32.615129Z digest=sha256:79285be6b01b2b4d2614993c561dd941317c1f18cb92b2e155789381e858af50

Observation 11c726b0-6815-4cf2-8850-8ae95c79ce73 · inbound

Advancing LLM Safe Alignment with Safety Representation Ranking cites this paper.

Advancing LLM Safe Alignment with Safety Representation Ranking Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:18.355760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:18.355760Z digest=sha256:ee5edd5af1909180ad836e24005f8e068ff179314a7b96f6d2742835b6732ef2

Observation 430456b0-9243-4bf2-8473-f02adcaebbf7 · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:37:15.908486Z

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=2026-05-19T11:34:09.428653Z digest=sha256:21d0f27a7c59e3dcda5d24cf2ca00e4fd8231c6b23116aa3689a8ea2ab19d73b

Observation 35372292-09de-4517-a573-9be3e3838505 · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:45.557329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:23:45.557329Z digest=sha256:1eca005d1e0d046dac065a67e600140fd41a78c19bcde1cdf59cfcc0d30d04ea

Observation 74d1d9c6-f379-4a50-80b6-17412d918ba6 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:17:36.681808Z

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=2026-05-16T08:12:55.296932Z digest=sha256:226810640c463efae699ec7a65c10575296c87254737e9d80cfda3abef29cc76