Paper Citation Record · LEDGER

Learning to Refuse: Towards Mitigating Privacy Risks in LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.10058.

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

pith.paper-citation-record.v1
2407.10058 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:08.851174Z

measured 0 of 1 external citation measurements

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 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.