Paper Citation Record · LEDGER

Position: Use Sparse Autoencoders to Discover Unknowns

As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 8 inbound Pith citation observations for arXiv:2506.23845.

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

pith.paper-citation-record.v1
2506.23845 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:33.631283Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:23:28.838115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:37:07.048796Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aff77032-7b38-4df5-8127-889103f6c7a1 · outbound

This paper cites Applying sparse autoencoders to unlearn knowledge in language models.

Position: Use Sparse Autoencoders to Discover Unknowns Applying sparse autoencoders to unlearn knowledge in language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.012045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Are Sparse Autoencoders Useful? A Case Study in Sparse Probing.

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 fc6c1c5a-b1ba-4c19-b0bd-eee994a6b93e · outbound

This paper cites doi: 10.18653/v1/2021.nuse-1.5.

Position: Use Sparse Autoencoders to Discover Unknowns doi: 10.18653/v1/2021.nuse-1.5

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.438821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686e0ed0-7129-44b5-add7-9373dae8b45e · outbound

This paper cites AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders.

Position: Use Sparse Autoencoders to Discover Unknowns AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.631283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c31ea0-f8ce-4f69-b121-1acd8230bafc · outbound

This paper cites URL https://doi.org/10.1214/10-STS330.

Position: Use Sparse Autoencoders to Discover Unknowns URL https://doi.org/10.1214/10-STS330

Reference 2010

Resolution: malformed identifier; doi_truncated, observed 2026-08-06T21:34:33.821075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dd42544-8ad2-47ff-8e75-92947e5ea738 · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Position: Use Sparse Autoencoders to Discover Unknowns Open Problems in Mechanistic Interpretability

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.494081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eae202c-ff10-4ee5-920c-443a6b3a9485 · outbound

This paper cites Lakkaraju, E.

Position: Use Sparse Autoencoders to Discover Unknowns Lakkaraju, E

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:34:34.456080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 383e8f1d-64a1-4b41-a70e-adb095152a5d · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Position: Use Sparse Autoencoders to Discover Unknowns ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:33.136653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818aeebe-7d25-46eb-8fde-c25e0cb98757 · outbound

This paper cites an unresolved cited work.

Position: Use Sparse Autoencoders to Discover Unknowns Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:34:34.611963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54227477-0cab-41df-979a-09225b22d155 · outbound

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

Position: Use Sparse Autoencoders to Discover Unknowns Aggregated Individual Reporting for Post-Deployment Evaluation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:32.883319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9add145-5007-4f88-9813-b0a3b0603be2 · outbound

This paper cites an unresolved cited work.

Position: Use Sparse Autoencoders to Discover Unknowns Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:32.717619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e36b6e37-fcbf-493d-a596-48b3638ea18c · outbound

This paper cites an unresolved cited work.

Position: Use Sparse Autoencoders to Discover Unknowns Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:34:34.271837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 02f7f598-a4cc-41c7-948d-5351e9db50ef · inbound

ActivationReasoning: Logical Reasoning in Latent Activation Spaces cites this paper.

ActivationReasoning: Logical Reasoning in Latent Activation Spaces Position: Use Sparse Autoencoders to Discover Unknowns

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c89f946-0e9d-4d34-84ff-a06553e1c2de · 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 Position: Use Sparse Autoencoders to Discover Unknowns

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a02ddf9-c07b-4772-9a93-520cadf6fc47 · 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 Position: Use Sparse Autoencoders to Discover Unknowns

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T00:23:28.838115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d18132-aefc-4179-b9b0-3409402436bd · inbound

Practicing with Language Models Cultivates Human Empathic Communication cites this paper.

Practicing with Language Models Cultivates Human Empathic Communication Position: Use Sparse Autoencoders to Discover Unknowns

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-14T20:33:57.341112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f407dba-9297-49bd-b2ad-146cea760c41 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy Position: Use Sparse Autoencoders to Discover Unknowns

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfdeff83-9bd5-4f1a-9fe1-65bc3175b894 · inbound

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy cites this paper.

Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy Position: Use Sparse Autoencoders to Discover Unknowns

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe81ce77-05de-4b15-bbea-4e270fe6b83d · inbound

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates cites this paper.

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates Position: Use Sparse Autoencoders to Discover Unknowns

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 783f5120-b894-47e9-bea2-b97809e2a5f9 · inbound

Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data cites this paper.

Three Years of r/ChatGPT: Societal Impact Evaluations from Social Media Data Position: Use Sparse Autoencoders to Discover Unknowns

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:18:25.475903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.