Paper Citation Record · LEDGER

Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.12241.

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

pith.paper-citation-record.v1
2405.12241 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:55:01.937875Z

measured 1 of 1 external citation measurements

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

Source: pith, 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
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1343e9ed-b73c-47b6-9cb1-6bd36fea3079 · inbound

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition cites this paper.

Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:01.937875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bf38a3-4166-4844-9a19-177480580936 · inbound

Sparse Autoencoders Trained on the Same Data Learn Different Features cites this paper.

Sparse Autoencoders Trained on the Same Data Learn Different Features Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T11:58:37.044442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0b2a2b-463b-4a9e-8e72-1fa207adeb67 · inbound

Low-Rank Adapting Models for Sparse Autoencoders cites this paper.

Low-Rank Adapting Models for Sparse Autoencoders Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T20:18:30.554696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d651152-f2b3-4eed-b1b2-4b3327006ce5 · inbound

Discovering Chunks in Neural Embeddings for Interpretability cites this paper.

Discovering Chunks in Neural Embeddings for Interpretability Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:29:19.897596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 024313ed-f851-44d1-9af5-cad2e5520880 · inbound

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining cites this paper.

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:42:48.081794Z

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 cf5f47c6-0d2d-4efe-9f97-2df7518b64ff · inbound

Stable and Steerable Sparse Autoencoders with Weight Regularization cites this paper.

Stable and Steerable Sparse Autoencoders with Weight Regularization Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T18:56:19.543127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abd66eca-fd85-46f2-8b81-b23ae6e18f5c · inbound

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability cites this paper.

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-28T02:11:29.083902Z

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 ff4da7d6-f073-43e0-8daf-3cafab321228 · inbound

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders cites this paper.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T06:36:52.581604Z

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 74b11013-f21c-4666-8196-814b120a9787 · inbound

Training, Reading, and Editing Legible Transformers cites this paper.

Training, Reading, and Editing Legible Transformers Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T05:35:58.568346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.