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Paper Citation Record · LEDGER

Decomposing The Dark Matter of Sparse Autoencoders

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:18:54.886073Z

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 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.

source=pdf_text observed=2026-08-05T17:18:54.886073Z digest=sha256:fbc96d57f25c04f5ffb75ec64cd75349ca93184b9eec80d8fad6f3b92a88a564

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.

source=arxiv_source observed=2026-08-04T15:20:32.153769Z digest=sha256:5a2f896735455402b6924664a6a6d4d4098bc7c1e98ea18c4a2cbac80f4d3d0e

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.

source=pdf_text observed=2026-08-03T06:35:33.734993Z digest=sha256:c64cdc6b96dfd92e4fcbf58f5b297b4c0d1b27c19fc4707cbd7d552b00dbea38

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:53:48.734715Z digest=sha256:34560d8ee83cb19016288bedefbab6d7420c2ed3b7ecc0576fb71edbe8183f45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:44:24.532548Z digest=sha256:72fc5999425d351a900dddbeb0aaa3f84b4c78d875275d650f3dd7d0bac01028

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:48:19.841691Z digest=sha256:7dc6e1e9e38c4d46be57ed5f75cd00eb9bab75ea16decddbc0615b9e4fbc39a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T19:52:12.114493Z digest=sha256:edf12d2364a0e49887f1a50e346aa97d328feb4553d6783cf01e6b09bc800e62

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:fad85fe7bfcda7b14f8d07ca52614512f4410c8806088f089c6d845a6a363020

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.

source=arxiv_source observed=2026-07-13T05:35:58.568346Z digest=sha256:ff8acd4f1b77c72507c135b41662e358c486eb60cd385174e67ce6bec73a4afd