Paper Citation Record · LEDGER

Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.18895.

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

pith.paper-citation-record.v1
2411.18895 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:29:20.016483Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:55:48.780229Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 28269566-c2a5-4d2c-8d13-1864584dd479 · inbound

Discovering Chunks in Neural Embeddings for Interpretability cites this paper.

Discovering Chunks in Neural Embeddings for Interpretability Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:20.016483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93244d4-e800-4a1a-95c9-e1ba6e3ff5d7 · inbound

Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE) cites this paper.

Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE) Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.569538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 580bd7ec-a465-4b4f-82dd-2fbc1e3a0164 · inbound

Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE) cites this paper.

Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE) Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:55:48.781943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2da2df48-794a-44d8-bf08-f732183a8c0f · inbound

ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions cites this paper.

ReSAE: Residualized Sparse Autoencoders for Multi-Layer Transformer Interventions Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:03:31.600144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.