Paper Citation Record · LEDGER

Disentangling Dense Embeddings with Sparse Autoencoders

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.00657.

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

pith.paper-citation-record.v1
2408.00657 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:57.503161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:09.906000Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c9acc4f-4005-41ed-8a10-78adb2c02934 · inbound

Sparse Autoencoders, Again? cites this paper.

Sparse Autoencoders, Again? Disentangling Dense Embeddings with Sparse Autoencoders

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:57.503161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0446de7-a0e5-4340-8b25-1bdb1e16959d · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning Disentangling Dense Embeddings with Sparse Autoencoders

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T05:18:27.542257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6180a15-8d11-43b3-97d8-198c3e698781 · inbound

In your own words: computationally identifying interpretable themes in free-text survey data cites this paper.

In your own words: computationally identifying interpretable themes in free-text survey data Disentangling Dense Embeddings with Sparse Autoencoders

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:18:04.777878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62f85300-14c9-4346-bebb-98e0ec602153 · inbound

Disentanglement Beyond Generative Models with Riemannian ICA cites this paper.

Disentanglement Beyond Generative Models with Riemannian ICA Disentangling Dense Embeddings with Sparse Autoencoders

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:51:16.016259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 942fa009-6cd4-47ba-b87a-f7abc709bca5 · inbound

A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders cites this paper.

A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders Disentangling Dense Embeddings with Sparse Autoencoders

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:09.907328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89bdbda2-3772-4ea8-b1fa-b52c6e314316 · inbound

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models cites this paper.

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models Disentangling Dense Embeddings with Sparse Autoencoders

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T00:16:18.405235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.