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Paper Citation Record · LEDGER

Model Unlearning via Sparse Autoencoder Subspace Guided Projections

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2505.24428.

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

pith.paper-citation-record.v1
2505.24428 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:28:04.568797Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:41:34.610283Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 4b97d0b5-33af-40b0-9afa-85c315af921a · outbound

This paper cites an unresolved cited work.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Unresolved cited work

Reference 3

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Observation ef42f86e-ef8d-4b6f-8983-e1032f7e8297 · outbound

This paper cites A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models

Reference 5

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Observation fbda50ed-7741-4656-a487-d612b215cafa · outbound

This paper cites an unresolved cited work.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Unresolved cited work

Reference 7

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Observation 66e493e2-c3ad-4d58-8ebc-1df9f9bf2b2f · outbound

This paper cites URL https://aclanthology.org/2025.naacl-long.325/.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections URL https://aclanthology.org/2025.naacl-long.325/

Reference 8

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Observation 7c37861a-6828-4c35-b6cd-091167234bc9 · outbound

This paper cites Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning

Reference 9

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Observation 33b3ceda-3f88-45b7-81a3-61a7050ce093 · outbound

This paper cites Nevermind: Instruction Override and Moderation in Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Nevermind: Instruction Override and Moderation in Large Language Models

Reference 10

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Observation 9c4f932f-75f5-4474-9c6f-16f0fe0812b3 · outbound

This paper cites Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D

Reference 11

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Observation 58ecd773-b009-4ff2-9767-0f2a585c72cf · outbound

This paper cites doi: 10.18653/v1/2024.blackboxnlp-1.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections doi: 10.18653/v1/2024.blackboxnlp-1

Reference 12

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Observation 9c6e3d75-b31b-414c-9a06-3e2c785846a8 · outbound

This paper cites Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Reference 15

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Observation 4452de4e-8742-450c-9f84-c245aa3d8327 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Gemma: Open Models Based on Gemini Research and Technology

Reference 17

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

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

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

Reference 18

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Observation d287ace0-dd53-458f-bbb7-0a7b93bda44b · outbound

This paper cites Johnny Lin.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Johnny Lin

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ded5aedb-cd8b-4873-9f94-7ee66554a4a4 · outbound

This paper cites Prompt Obfuscation for Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Prompt Obfuscation for Large Language Models

Reference 20

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Observation dc3ca153-233d-4563-9bdd-0c2964a75b15 · outbound

This paper cites Dissecting Language Models: Machine Unlearning via Selective Pruning.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Dissecting Language Models: Machine Unlearning via Selective Pruning

Reference 21

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Observation 0b89de06-0a22-45f9-8b3c-56011ed8bfa3 · outbound

This paper cites Dissecting Language Models: Machine Unlearning via Selective Pruning.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Dissecting Language Models: Machine Unlearning via Selective Pruning

Reference 22

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Observation 0d2b8d8b-d715-4eb1-a70a-bb19f0608553 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 23

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Observation 64f102bb-1eb5-475e-a75f-db5c91b6f8b6 · outbound

This paper cites Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models

Reference 24

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Observation 242decb0-4487-4d25-b233-f063ff27e9fc · outbound

This paper cites Steering Language Models With Activation Engineering.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Steering Language Models With Activation Engineering

Reference 25

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Observation 664f688d-6bc8-4cbc-bec4-fc0ad7ffbd1e · outbound

This paper cites Steering Language Models With Activation Engineering.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Steering Language Models With Activation Engineering

Reference 26

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Observation 06e06667-049f-4e68-a0ca-1b8fe074ff6b · outbound

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Model Unlearning via Sparse Autoencoder Subspace Guided Projections ReLearn: Unlearning via Learning for Large Language Models

Reference 27

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Observation 394f9315-6ef3-4e93-9e87-33e4bfa6a0be · outbound

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Model Unlearning via Sparse Autoencoder Subspace Guided Projections org/abs/2503.03710

Reference 28

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Observation c3d64bf6-eb37-4c42-aa73-d8656368ad89 · outbound

This paper cites relevant.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections relevant

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8ac8a231-e4a5-4497-9d3b-7f6fa36249c2 · outbound

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Model Unlearning via Sparse Autoencoder Subspace Guided Projections Pointer Sentinel Mixture Models

Reference 2016

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Observation 6ad4ed36-043a-4f2b-86cb-ecce2c44ff6e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Training Verifiers to Solve Math Word Problems

Reference 2021

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Observation 274ef466-b369-4108-be8a-6158886e5655 · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.229.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections doi: 10.18653/v1/2022.acl-long.229

Reference 2022

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Observation c26a9ff3-cf01-4adc-95db-63479e2cf879 · outbound

This paper cites SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 2023

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Observation 3e0aa99b-2460-412e-8b24-e34c5fb437eb · outbound

This paper cites Soft Prompting for Unlearning in Large Language Models.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Soft Prompting for Unlearning in Large Language Models

Reference 2024

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Observation 424affdb-564a-45a6-90f9-e5d535904bea · outbound

This paper cites Open Problems in Machine Unlearning for AI Safety.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Open Problems in Machine Unlearning for AI Safety

Reference 2025

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Pith citing papers

Observation 107ab70d-df49-491e-bb37-c934545094e5 · inbound

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories cites this paper.

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories Model Unlearning via Sparse Autoencoder Subspace Guided Projections

Reference 23

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