Paper Citation Record · LEDGER

Decomposing The Dark Matter of Sparse Autoencoders

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.14670.

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

pith.paper-citation-record.v1
2410.14670 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:33.946749Z

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 012ba044-59ae-4167-98ad-600cc8c965b8 · 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 Decomposing The Dark Matter of Sparse Autoencoders

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:55:02.013757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1633fff6-25b8-475b-910f-d95bf28d11e6 · inbound

Transcoders Beat Sparse Autoencoders for Interpretability cites this paper.

Transcoders Beat Sparse Autoencoders for Interpretability Decomposing The Dark Matter of Sparse Autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T22:24:53.839060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f170a4ef-3914-4a89-b382-f96b4e769f17 · inbound

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

Low-Rank Adapting Models for Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T20:18:30.772296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9265d54-85bc-4c3f-a5d8-568997fd9610 · inbound

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition cites this paper.

Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition Decomposing The Dark Matter of Sparse Autoencoders

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T05:21:33.946749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba039a99-074f-4e6d-bd04-a9cf50401773 · inbound

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders cites this paper.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:54.886073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb8bc4c-84e1-4924-a341-2a32bc3368da · inbound

Understanding sparse autoencoder scaling in the presence of feature manifolds cites this paper.

Understanding sparse autoencoder scaling in the presence of feature manifolds Decomposing The Dark Matter of Sparse Autoencoders

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:17.936229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97455bb9-7e02-4faf-8851-0e158bf16bed · inbound

Towards Atoms of Large Language Models cites this paper.

Towards Atoms of Large Language Models Decomposing The Dark Matter of Sparse Autoencoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T15:20:32.153769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9e4dea8-2b9c-4f9b-a91b-ba74780cd0d3 · inbound

Language Model Circuits Are Sparse in the Neuron Basis cites this paper.

Language Model Circuits Are Sparse in the Neuron Basis Decomposing The Dark Matter of Sparse Autoencoders

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:33.734993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66145f04-7d42-449b-94d6-cf1fc4382abc · inbound

Geometric Routing Enables Causal Expert Control in Mixture of Experts cites this paper.

Geometric Routing Enables Causal Expert Control in Mixture of Experts Decomposing The Dark Matter of Sparse Autoencoders

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:55:24.447325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0f7a2e1-cdcd-4b49-816f-222aab32d683 · inbound

Towards Understanding the Robustness of Sparse Autoencoders cites this paper.

Towards Understanding the Robustness of Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:46:10.260696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86965ee6-2be5-435c-a672-b893d5dfd869 · inbound

The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws cites this paper.

The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws Decomposing The Dark Matter of Sparse Autoencoders

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:25.282094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation caef66f7-9eb3-42d5-a436-36c5585d830f · inbound

Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects cites this paper.

Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects Decomposing The Dark Matter of Sparse Autoencoders

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.466042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e01dca7-254e-4075-9f3f-6ee9c11dac64 · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization Decomposing The Dark Matter of Sparse Autoencoders

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:28:50.562663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3f9cd5b0-6a26-4482-874e-895f1a4a35bb · inbound

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

Training, Reading, and Editing Legible Transformers Decomposing The Dark Matter of Sparse Autoencoders

Reference 54

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.