Paper Citation Record · LEDGER

SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.08192.

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

pith.paper-citation-record.v1
2504.08192 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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:01.830004Z

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

0
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 5aa98ec1-5520-44bb-8dfb-b821c908129a · inbound

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs cites this paper.

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.830004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2352fc18-5796-4812-8e8d-5b42bd263789 · inbound

Model Unlearning via Sparse Autoencoder Subspace Guided Projections cites this paper.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:28:03.711536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b0a48c4-26ba-42b7-ba84-d7bbd801a14f · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:52.920539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeb1f915-e112-405b-ba65-3afae89c3dd8 · inbound

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models cites this paper.

Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:40:54.482204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.