Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.13474.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:59:53.049032Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:08:56.674858Z
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 3222abb5-6fe7-4cc7-82b0-caaccc2f15e9 · inbound
Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs cites this paper.
Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:59:53.049032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8406dc45-0888-46f7-ab6a-9a0abd3c52ec · inbound
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss cites this paper.
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:22:16.370945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eebd3a66-bcec-42f3-a0d0-e887ce35ad3d · inbound
OFMU: Optimization-Driven Framework for Machine Unlearning cites this paper.
OFMU: Optimization-Driven Framework for Machine Unlearning Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:06:23.556609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 077c96d1-f879-4768-8784-4243f5c9211f · inbound
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning cites this paper.
Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:27:22.676125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6f758a3-abf1-4fda-8d6c-43b5ec54f2bb · inbound
SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning Vector cites this paper.
SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning Vector Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:08:56.677346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.