Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T17:18:54.886073Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation ba039a99-074f-4e6d-bd04-a9cf50401773 · inbound
Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders
Reference 2022
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 Decomposing The Dark Matter of Sparse Autoencoders
Reference 14
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 Decomposing The Dark Matter of Sparse Autoencoders
Reference 2025
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 Decomposing The Dark Matter of Sparse Autoencoders
Reference 14
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.
Observation f0f7a2e1-cdcd-4b49-816f-222aab32d683 · inbound
Towards Understanding the Robustness of Sparse Autoencoders Decomposing The Dark Matter of Sparse Autoencoders
Reference 24
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.
Observation 86965ee6-2be5-435c-a672-b893d5dfd869 · inbound
The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws Decomposing The Dark Matter of Sparse Autoencoders
Reference 15
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.
Observation caef66f7-9eb3-42d5-a436-36c5585d830f · inbound
Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects Decomposing The Dark Matter of Sparse Autoencoders
Reference 4
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.
Observation 7e01dca7-254e-4075-9f3f-6ee9c11dac64 · inbound
At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization Decomposing The Dark Matter of Sparse Autoencoders
Reference 42
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.
Observation 3f9cd5b0-6a26-4482-874e-895f1a4a35bb · inbound
Training, Reading, and Editing Legible Transformers Decomposing The Dark Matter of Sparse Autoencoders
Reference 54
Source-reported events for the cited work
Unavailable: canonical work link unavailable.