Paper Citation Record · LEDGER

Soft Prompting for Unlearning in Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.12038.

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

pith.paper-citation-record.v1
2406.12038 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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:48:51.990243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T00:27:50.492768Z

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 e8b20ad2-ade6-4bd2-8a0c-153d94d98c77 · inbound

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning cites this paper.

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Soft Prompting for Unlearning in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:51.990243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5b10f9-d16d-435a-b6eb-61ddea204b5c · inbound

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection Soft Prompting for Unlearning in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:39.571160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0aa99b-2460-412e-8b24-e34c5fb437eb · inbound

Model Unlearning via Sparse Autoencoder Subspace Guided Projections cites this paper.

Model Unlearning via Sparse Autoencoder Subspace Guided Projections Soft Prompting for Unlearning in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T12:28:02.312793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 133d5926-0965-4520-9292-bd344724e752 · inbound

Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting cites this paper.

Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting Soft Prompting for Unlearning in Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:51:00.638826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff0a27d8-714b-4c22-9067-eac468a93525 · inbound

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking cites this paper.

POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking Soft Prompting for Unlearning in Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-11T00:27:50.512417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a29ea640-b344-4ae8-8d9f-7ac706c21e0a · inbound

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats cites this paper.

LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats Soft Prompting for Unlearning in Large Language Models

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-02T10:25:19.882365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.