Paper Citation Record · LEDGER

Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2502.16681.

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

pith.paper-citation-record.v1
2502.16681 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:21:24.280647Z

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 77aedf78-a394-46ea-b25b-e3312dd32115 · inbound

Interpretable Company Similarity with Sparse Autoencoders cites this paper.

Interpretable Company Similarity with Sparse Autoencoders Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:21:24.280647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65bad93b-77de-4a8e-b1ae-a764b8847d95 · inbound

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models cites this paper.

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:42.625025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b3033b-cf0f-4785-b843-37bdeb121de3 · inbound

TRACE for Tracking the Emergence of Semantic Representations in Transformers cites this paper.

TRACE for Tracking the Emergence of Semantic Representations in Transformers Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:11.515244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd31f6d-49f1-4d16-9774-5f9653068ac4 · inbound

Fine-Grained Interpretation of Political Opinions in Large Language Models cites this paper.

Fine-Grained Interpretation of Political Opinions in Large Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:14.248537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d05748-dbe8-4555-92b9-b0b5554f5658 · inbound

Cross-Layer Discrete Concept Discovery for Interpreting Language Models cites this paper.

Cross-Layer Discrete Concept Discovery for Interpreting Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:04.969024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51d94de3-a079-41be-965e-73ec387a1a71 · inbound

Position: Use Sparse Autoencoders to Discover Unknowns cites this paper.

Position: Use Sparse Autoencoders to Discover Unknowns Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.225648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba08f89-bf75-4dc6-95b1-2c0f770e5b7b · inbound

TRACE: Training and Inference-Time Interpretability Analysis for Language Models cites this paper.

TRACE: Training and Inference-Time Interpretability Analysis for Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:07:55.775544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afec4d0-01ee-444b-bdd3-993b6fcbf964 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:18.929519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e4a851-3abf-439e-8848-9eda8427f7e1 · inbound

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders cites this paper.

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:55.289843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1793219f-8e9a-45c2-92fe-72f3cf5535db · inbound

When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift cites this paper.

When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T23:22:38.310667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81639659-36af-4a6f-86d8-d32d98d9d57e · inbound

SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data cites this paper.

SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 8856

Resolution: unresolved; no resolver link, observed 2026-08-02T23:11:40.793678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3716bb98-38c8-4b06-829f-60bbae3c630d · inbound

Stable and Steerable Sparse Autoencoders with Weight Regularization cites this paper.

Stable and Steerable Sparse Autoencoders with Weight Regularization Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:56:19.392090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fce7c09f-e98b-4597-8bbe-d3cd6fc84864 · inbound

Improving Robustness In Sparse Autoencoders via Masked Regularization cites this paper.

Improving Robustness In Sparse Autoencoders via Masked Regularization Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:51.673015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 335b13b9-1b4b-447e-a59d-cd3923e027fe · inbound

Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling cites this paper.

Linear Probe Accuracy Scales with Model Size and Benefits from Multi-Layer Ensembling Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.180214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 683f61aa-b164-45c6-916a-6b3d51d7990e · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.436243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c34db1f-fee8-448f-b5cc-4523cf656f2d · inbound

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories cites this paper.

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:16.215288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ea652ba-f03c-46a7-b7a2-5b2c7f4a318e · 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 Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:27:58.959480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bffda916-ac55-4f8e-9127-b350ee8dee64 · inbound

Are Sparse Autoencoder Benchmarks Reliable? cites this paper.

Are Sparse Autoencoder Benchmarks Reliable? Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:43:16.825118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3b088b6-eb29-49e9-8ded-5be59d8a0083 · inbound

ICA Lens: Interpreting Language Models Without Training Another Dictionary cites this paper.

ICA Lens: Interpreting Language Models Without Training Another Dictionary Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:37:49.257469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8797ce8b-d67c-4c51-baa5-3e720a96cf38 · inbound

Laguerre Geometry for Interpreting Large Language Models cites this paper.

Laguerre Geometry for Interpreting Large Language Models Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T10:42:30.055074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1a2aca-f782-4e1f-a628-478e44c56125 · inbound

Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes cites this paper.

Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes Are Sparse Autoencoders Useful? A Case Study in Sparse Probing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T02:53:55.318735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.