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Paper Citation Record · LEDGER

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00743.

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

pith.paper-citation-record.v1
2411.00743 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:40:29.147549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T22:19:31.797955Z

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 20a638ac-b106-4a4f-899e-fef1eeb8d33a · inbound

Teach Old SAEs New Domain Tricks with Boosting cites this paper.

Teach Old SAEs New Domain Tricks with Boosting Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T16:40:29.147549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:40:29.147549Z digest=sha256:4d3d8f679669500f6be5ae7dc8bf8686e2f2fdfede36371a06c42d5da5b69a3c

Observation 538dbc4a-fc30-4fe4-a7bd-c2cf9061508b · inbound

Interpreting CFD Surrogates through Sparse Autoencoders cites this paper.

Interpreting CFD Surrogates through Sparse Autoencoders Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:23:46.913737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:23:46.913737Z digest=sha256:2809a4d713cbe2147958ec8dc841cb56013aa55bd2070bc6c19eaffd0e01173d

Observation f1dfeee3-39fc-4e98-8265-496b8b79f8ec · inbound

Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates cites this paper.

Sparse Autoencoders as a Steering Basis for Phase Synchronization in Graph-Based CFD Surrogates Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:19:31.801530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T22:18:22.476746Z digest=sha256:647f41b4739fd44d9108874add4f26764053289adef0fffa74b99ac516a97c08

Observation a477b8ac-bddb-4f9d-b5db-9bd1c44eddfc · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T10:39:48.297758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:39:48.297758Z digest=sha256:44106ae7ba38dc508fb5c9d7a940b996d6c988ca34b70b8f744f00e01936bf37

Observation 9f1bb98e-5ca2-4394-93e7-e63cf2824f15 · inbound

Targeted Recovery of Weight-Space Mechanisms From Neural Networks cites this paper.

Targeted Recovery of Weight-Space Mechanisms From Neural Networks Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models

Reference 171

Resolution
unresolved
no resolver link, observed 2026-08-02T10:40:03.106501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:40:03.106501Z digest=sha256:0e9d0786e1218c2f76c6a3fb811ed4ab259dbd3304ff0401d46fa3feb66fbc83