Paper Citation Record · LEDGER

Sparse Autoencoders Do Not Find Canonical Units of Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2502.04878.

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

pith.paper-citation-record.v1
2502.04878 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:00.843301Z

measured 1 of 1 external citation measurements

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 9472c785-10ea-4cc4-bee1-c5ab6b941e6d · inbound

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

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.843301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f4f490-74c5-4fce-b7d5-385ecd300fd4 · inbound

Stochastic Parameter Decomposition cites this paper.

Stochastic Parameter Decomposition Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:48:37.411622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 158f39e2-2786-4adc-92dc-0e2a90c0ce6f · inbound

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

Teach Old SAEs New Domain Tricks with Boosting Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:29.030274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 899a1934-92c6-408c-95e4-b7e8a9da13b8 · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T02:00:40.006102Z

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 f241173c-da4b-4c12-9b56-37ad8c59b6ac · inbound

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach cites this paper.

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T00:23:28.785151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0f0e78-985c-4cfb-9741-7beb6e1dfbe4 · inbound

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models cites this paper.

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T04:36:01.693349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383309bf-692f-4e12-bf36-4bc3435bf553 · inbound

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models cites this paper.

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T06:15:55.771792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7048f3de-b19f-4ae9-af2e-5389e9cd3515 · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:15:54.363637Z

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 7f31fb58-494e-45ad-bc04-5f179e4536d7 · inbound

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders cites this paper.

Tree SAE: Learning Hierarchical Feature Structures in Sparse Autoencoders Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:25.329793Z

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 dab9fcd5-3d2e-4065-85c4-0899531f3624 · inbound

Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims cites this paper.

Position: Mechanistic Interpretability Must Disclose Identification Assumptions for Causal Claims Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:45:58.161730Z

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 1fecbe30-0288-4573-b4b9-ffb45395717b · inbound

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning cites this paper.

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:52:22.462659Z

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 636848fb-09da-4f38-bd53-68091360e0b3 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:59:28.784575Z

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 ccd7079f-fd64-42cb-adf8-1bdc9e4c1493 · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:45.209373Z

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 601d00b0-efa3-4301-95ad-071b3edf7a0b · inbound

WriteSAE: Sparse Autoencoders for Recurrent State cites this paper.

WriteSAE: Sparse Autoencoders for Recurrent State Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:53:47.190627Z

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 0a3b2eb0-d68d-43ae-a24c-623bd614bbb4 · inbound

Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features cites this paper.

Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:27:58.974178Z

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 11339158-52c7-4c72-86ab-7a76859a9cf6 · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:23:30.750358Z

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 cd88b479-ee21-454e-8851-c3ec323e2127 · inbound

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations cites this paper.

Sign-Aware Gated Sparse Autoencoders: Modeling Anticorrelated Features with Bi-Jump-ReLU Activations Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T05:02:51.330615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69602583-7167-40d1-924a-e5a348149c10 · inbound

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders cites this paper.

Size Doesn't Matter: Cosine-Scored Sparse Autoencoders Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:15:29.633755Z

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 efad8060-df6f-4968-a4f5-5f023a01cae4 · inbound

Critical Percolation as a Synthetic Data Model for Interpretability cites this paper.

Critical Percolation as a Synthetic Data Model for Interpretability Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:49:29.575560Z

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 cd273a25-47d3-499a-9d18-b24ccc51c51e · inbound

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? cites this paper.

Do Sparse Autoencoders Learn Meaningful Concept Hierarchies? Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:29:45.399426Z

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 d75a73d9-4b33-479c-9ca4-50e195db219f · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:28:50.567880Z

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 51ddf6ad-60a4-4f2e-8637-86b23e9d3cc2 · inbound

Surrogate Fidelity: When Can Open LLMs Explain Closed Ones? cites this paper.

Surrogate Fidelity: When Can Open LLMs Explain Closed Ones? Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.082546Z

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 322759d2-a828-403a-89b9-196fa3ae6ba1 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Sparse Autoencoders Do Not Find Canonical Units of Analysis

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:28.686940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.