Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From superposition to sparse codes: interpretable representations in neural networks
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.01824.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:24:51.328290Z
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 68df6f77-0ab7-4466-a265-7855fc030ba9 · inbound
Evaluating SAE interpretability without explanations cites this paper.
Evaluating SAE interpretability without explanations From superposition to sparse codes: interpretable representations in neural networks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:51.328290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57b08502-38b5-4154-ab94-071759a49c95 · inbound
Probing for Representation Manifolds in Superposition cites this paper.
Probing for Representation Manifolds in Superposition From superposition to sparse codes: interpretable representations in neural networks
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T11:48:14.613677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 167042f0-39f3-4a8e-bc1f-a8156cb5c91b · inbound
When Does LeJEPA Learn a World Model? cites this paper.
When Does LeJEPA Learn a World Model? From superposition to sparse codes: interpretable representations in neural networks
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:55:50.680031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0f812a4d-fe4d-4401-a152-514a9c2d276e · inbound
Similarity-based representation factorization for revealing interpretable dimensions in representational data cites this paper.
Similarity-based representation factorization for revealing interpretable dimensions in representational data From superposition to sparse codes: interpretable representations in neural networks
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:03:48.045682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 69f09c44-250a-484e-bc1b-ea81f3d95fdb · inbound
Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds cites this paper.
Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds From superposition to sparse codes: interpretable representations in neural networks
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:09:58.959778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f2602157-da4b-4cd6-b6e4-08be643a6fce · inbound
Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability cites this paper.
Expander Sparse Autoencoders: Parameter-Efficient Dictionaries for Mechanistic Interpretability From superposition to sparse codes: interpretable representations in neural networks
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:28:44.152346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.