Paper Citation Record · LEDGER

Applying sparse autoencoders to unlearn knowledge in language models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.19278.

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

pith.paper-citation-record.v1
2410.19278 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:04.637905Z

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 8a0b2528-e576-4a0b-8929-619df4cb924e · inbound

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

Open Problems in Machine Unlearning for AI Safety Applying sparse autoencoders to unlearn knowledge in language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T21:24:10.074175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21fbf5d-e34e-4968-a12d-f948745c274f · inbound

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders cites this paper.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Applying sparse autoencoders to unlearn knowledge in language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T01:04:57.057174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aabf8aa9-70c7-46a6-9ddf-39f2c598b2b9 · inbound

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models cites this paper.

EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models Applying sparse autoencoders to unlearn knowledge in language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:35:04.637905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637f78f4-c60e-4005-aabb-8915d3d176fb · inbound

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models cites this paper.

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models Applying sparse autoencoders to unlearn knowledge in language models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:15.579347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4640355c-a3a1-465d-86fe-0a0ca132e808 · inbound

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU cites this paper.

Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU Applying sparse autoencoders to unlearn knowledge in language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:52.459633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aff77032-7b38-4df5-8127-889103f6c7a1 · inbound

Position: Use Sparse Autoencoders to Discover Unknowns cites this paper.

Position: Use Sparse Autoencoders to Discover Unknowns Applying sparse autoencoders to unlearn knowledge in language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.012045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627938d6-e79e-4b04-9299-f5e9e42df1d5 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Applying sparse autoencoders to unlearn knowledge in language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:31.321750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf2f84e-2779-4434-80cd-b7b28c4e069f · inbound

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation cites this paper.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Applying sparse autoencoders to unlearn knowledge in language models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T18:47:45.364388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bea2e3a-3798-435e-a716-93aae16b0917 · inbound

AI as a Tool for Simulation-Based Experiments in Literary Studies cites this paper.

AI as a Tool for Simulation-Based Experiments in Literary Studies Applying sparse autoencoders to unlearn knowledge in language models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-28T15:02:19.052770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43b1a271-7eeb-446a-b84f-5c1cbfbde733 · inbound

Safe-RULE: Safe Reinforcement UnLEarning cites this paper.

Safe-RULE: Safe Reinforcement UnLEarning Applying sparse autoencoders to unlearn knowledge in language models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:28.415595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2670548b-af5c-4c90-a9a4-748d71699080 · inbound

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation cites this paper.

Where You Measure Decides What You Measure: Position Selection in Ablation-Based SAE Evaluation Applying sparse autoencoders to unlearn knowledge in language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:29:00.134762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.