Paper Citation Record · LEDGER

Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.06269.

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

pith.paper-citation-record.v1
2503.06269 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:24:26.474285Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6077e1dc-c411-4eb3-8de1-7e23de6a6069 · inbound

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety cites this paper.

Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:24:26.474285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca628cc-f4bc-4d34-a9c6-e8f5707518ee · inbound

Activation-Guided Local Editing for Jailbreaking Attacks cites this paper.

Activation-Guided Local Editing for Jailbreaking Attacks Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:17:06.219018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11b013cf-96b5-4ecd-bb13-bb92445cb2c5 · inbound

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

Why Do Large Language Models Generate Harmful Content? Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:17:06.219018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5de88d15-5e2d-4a26-a689-c21d1a2e888a · inbound

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability cites this paper.

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T02:17:06.219018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ccf45b-12eb-41f1-9dff-3fd8b955c8e2 · inbound

Investigating The Security of Modern AI and Cloud Infrastructure cites this paper.

Investigating The Security of Modern AI and Cloud Infrastructure Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T02:17:06.219018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef9f9c5d-fc68-40c3-b21a-3fa395b573a9 · inbound

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation cites this paper.

How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T02:17:06.219018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.