Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:34:33.631283Z
Paper Citation Record · LEDGER
Position: Use Sparse Autoencoders to Discover Unknowns
As of 17 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:23:28.838115Z
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.