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Paper Citation Record · LEDGER

Sparse Autoencoders for Hypothesis Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.04382.

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

pith.paper-citation-record.v1
2502.04382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:32.518082Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.301467Z

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 e22996ef-1270-4ae0-b499-f0af8c9bc356 · 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 Sparse Autoencoders for Hypothesis Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:32.518082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:32.518082Z digest=sha256:26046650de829a24d35ad98b7f67447efaae4d2dd3d0e1386777a18e1c80842f

Observation c4d6eb0c-d234-46b9-85eb-d4f28d2b5519 · inbound

Sparse Autoencoders, Again? cites this paper.

Sparse Autoencoders, Again? Sparse Autoencoders for Hypothesis Generation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T10:42:57.486554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:42:57.486554Z digest=sha256:bb338e9e60932353c66fbe3f61c27a49559c3781d62684300fa5f30e32fccde2

Observation a0f1ea8a-1218-407d-a4b4-559a9f278762 · inbound

Correlated Errors in Large Language Models cites this paper.

Correlated Errors in Large Language Models Sparse Autoencoders for Hypothesis Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:27:56.287837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:27:56.287837Z digest=sha256:cfbd5e637d0ec962fc25a41abb6495bec4450ca50fb23e94819d7d651cbbd57c

Observation 17e253d8-4387-4ad1-8a3f-85799b11e9bd · inbound

Aggregated Individual Reporting for Post-Deployment Evaluation cites this paper.

Aggregated Individual Reporting for Post-Deployment Evaluation Sparse Autoencoders for Hypothesis Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:05.974693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:05.974693Z digest=sha256:fcf2a30406c91ecbbfce069d537ce7aa24b3217a0272e000a09ad68b1ad0fab4

Observation 32c45c2b-db5f-4d5f-86b6-2b192d74eb2b · inbound

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification cites this paper.

Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification Sparse Autoencoders for Hypothesis Generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:38:03.007164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:38:03.007164Z digest=sha256:d474249f081ea9f5030a926dae611d39d5542f5ef4cb72ed7a3bb5036c2557aa

Observation c4895e6d-8eee-420b-8772-4800d653cf9d · 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 for Hypothesis Generation

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.987431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T01:56:50.978054Z digest=sha256:3f677980a5f96a801dd3197d7234b57bc237696fb739784f4bd740ca12de504a

Observation 56545fb9-118d-4ea3-9a46-ae713c23785c · 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 for Hypothesis Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T00:23:28.511287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:23:28.511287Z digest=sha256:180ac0d972134c98d1d5143047bb42da239e70c6d8b7ed21b2b22fb5fcf373ec

Observation c8eaf7b3-25e4-4f37-a8b6-d7a21bce4fdb · inbound

Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands cites this paper.

Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands Sparse Autoencoders for Hypothesis Generation

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T20:55:03.940189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T20:53:04.274840Z digest=sha256:6b7074aed17ea0ecf21851e4f1ae5a3559a400c7a9b94d86b1dd28e679b343c9

Observation cd9bfc44-de13-41a3-80de-212e5860ed84 · inbound

Steered Generation via Gradient-Based Optimization on Sparse Query Features cites this paper.

Steered Generation via Gradient-Based Optimization on Sparse Query Features Sparse Autoencoders for Hypothesis Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:36:40.355745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:31:29.510639Z digest=sha256:a996111c009dba11813da56564428d24a07bd195c0993704218df24aa1a84a13

Observation 05ef4722-a424-49b1-b56f-bf95d9b8e4a2 · inbound

VFUSE: Virulent Feature Understanding with Sparse autoEncoders cites this paper.

VFUSE: Virulent Feature Understanding with Sparse autoEncoders Sparse Autoencoders for Hypothesis Generation

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:57:29.968277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:57:52.441415Z digest=sha256:6c88abbf00dd8b7f6cd08d4c2803ee0a2b2e598752df790a094d475451632d46

Observation b02cb557-9926-4f90-9334-2650e81ba136 · inbound

Localizing RL-Induced Tool Use to a Single Crosscoder Feature cites this paper.

Localizing RL-Induced Tool Use to a Single Crosscoder Feature Sparse Autoencoders for Hypothesis Generation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T12:59:52.302990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T05:41:59.349181Z digest=sha256:5ccff68c1598c4e72ee3962e51a437eaf9e94d109e66eecd9d30d7305f22f816

Observation e3c09eb6-dad5-46bf-821f-447b52c2ac9f · inbound

Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent cites this paper.

Retrieval is Enough: Training-Free Interpretability with a Tool-Using Agent Sparse Autoencoders for Hypothesis Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T20:58:52.885406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:58:52.885406Z digest=sha256:7267cd28e99453b713649b66ad4de9d7a5aea8648ffdd367c04af4cec8a0cf1a