Paper Citation Record · LEDGER

Applying sparse autoencoders to unlearn knowledge in language models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:15.579347Z

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 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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.