Paper Citation Record · LEDGER

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.12892.

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

pith.paper-citation-record.v1
2502.12892 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:17.858258Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:25.399069Z

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 db898c7e-37ed-42a2-aed4-64927b95be1a · inbound

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs cites this paper.

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.630371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92e8012-0c5b-405a-a287-33dadd8cdd03 · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.832328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad5256cc-4853-4388-bb5a-5feaa1aa7b1b · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:51.635407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e1d120-f8d1-4482-a32e-79b58df81d98 · inbound

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models cites this paper.

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:31.498469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e08c241-2f3f-474d-a546-02e1ab2cce50 · inbound

Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs cites this paper.

Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:22:35.003839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 620a6511-9548-4b76-b5be-3f92e8d0ed9b · inbound

Understanding sparse autoencoder scaling in the presence of feature manifolds cites this paper.

Understanding sparse autoencoder scaling in the presence of feature manifolds Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:17.858258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b11c4a6-e61b-46d8-b002-d9d5b70451f3 · inbound

Mechanistic Interpretability with Sparse Autoencoder Neural Operators cites this paper.

Mechanistic Interpretability with Sparse Autoencoder Neural Operators Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:01:45.819367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3108fdfe-d024-4a7e-b928-be8e29d7ecc8 · inbound

Transformers converge to invariant algorithmic cores cites this paper.

Transformers converge to invariant algorithmic cores Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T20:46:34.335464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650d8521-d399-4e13-9471-54a0afa019d2 · inbound

Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision cites this paper.

Can Cross-Layer Transcoders Replace Vision Transformer Activations? An Interpretable Perspective on Vision Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:03.489069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42e81af6-391f-442c-8b3f-809dadb6c291 · inbound

From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models cites this paper.

From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:09.631117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efb0ba4a-65b0-4757-b144-344335cfba99 · inbound

Can neurons speak? Semantic narration of vision at single-cell resolution cites this paper.

Can neurons speak? Semantic narration of vision at single-cell resolution Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:49:25.400645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.