Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.10058.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:22:07.294338Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T22:25:12.053793Z
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 5647c484-230c-4bbe-87e2-8ee852d67910 · inbound
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression cites this paper.
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:22:07.294338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acacce56-9473-431c-add9-f539baa8d644 · inbound
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation cites this paper.
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T22:25:12.056830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation abbaddcb-2941-4f1a-bf4a-dd2c99ab33e7 · inbound
R-TOFU: Unlearning in Large Reasoning Models cites this paper.
R-TOFU: Unlearning in Large Reasoning Models Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:08.851174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b1fbd1b-644f-4ad7-b16c-8fdb79cb28a3 · inbound
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 200
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:46:19.503020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4922f0ab-4c6c-49df-a9bb-f11de90b9e92 · inbound
CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge cites this paper.
CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T12:05:22.132874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e1e844d-8fd9-443a-bf18-271fc7b1d4ed · inbound
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning cites this paper.
Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:31:24.508645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 426c6ec3-2261-475f-a8a9-41c46439df9f · inbound
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models cites this paper.
DualOptim+: Bridging Shared and Decoupled Optimizer States for Better Machine Unlearning in Large Language Models Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T00:54:31.317726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.