Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 62 inbound Pith citation observations for arXiv:2407.06460.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:50.551418Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:38:58.436663Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 7cfe5f19-fc28-4410-9806-fa905941697d · inbound
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Reference 68
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4beb9fb-b200-48e9-9000-95c87b717ebd · inbound
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 065b298f-7bc1-4c76-b6d8-e70ba4f6b894 · inbound
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da60dcc1-9cb8-4c35-920f-aa87e740f06f · inbound
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26ba975b-bc1e-4f27-939f-0963c74af78e · inbound
Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7001cd92-4c0c-4c74-823e-cc29d81ff227 · inbound
Open Problems in Machine Unlearning for AI Safety MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 118
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd521757-5615-4c90-b3a7-32f2265481c2 · inbound
Position: Adversarial ML for LLMs Is Not Making Any Progress MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddfc1d88-f0b5-441c-8aca-648ac6319223 · inbound
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Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1deea37-69a1-4a89-bc16-d9cdb1945884 · inbound
A mean teacher algorithm for unlearning of language models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06a39523-be7b-4db6-bb71-93e88631fff1 · inbound
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f4fa29e-1e18-4c2e-9f65-6c0c63f24500 · inbound
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Reference 55
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dfbce3b-c3c3-498e-abc0-679dba0b83e5 · inbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 81
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e789e429-c5b3-4189-a863-8e90f5c4afca · inbound
DUSK: Do Not Unlearn Shared Knowledge MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 298f3af4-4bbd-471a-bf90-6ecce7fcabe7 · inbound
Soft Weighted Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 47
Source-reported events for the cited work
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Observation f6532211-495d-4c8c-b26b-ee0b292edd2b · inbound
Existing Large Language Model Unlearning Evaluations Are Inconclusive MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 30
Source-reported events for the cited work
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Observation a61dfad5-5159-4e1a-b8c3-72049051dcfa · inbound
Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 21
Source-reported events for the cited work
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Observation 2f95ffdf-d5b7-41d7-a272-ec7ff84e6c92 · inbound
LLM Unlearning Should Be Form-Independent MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 42
Source-reported events for the cited work
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Observation d8ce1b9e-f8b6-417c-9ac0-81717c534434 · inbound
SoK: Machine Unlearning for Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2d4e09b-22ed-4b89-9cc6-e72f5ad8c016 · inbound
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53dedfd4-d3c9-427d-bd74-50ad5c774532 · inbound
UCD: Unlearning in LLMs via Contrastive Decoding MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfda0d67-4b66-49d4-b861-afc01e3400c4 · inbound
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3425d73-98b0-4dca-819c-658d0e4f2418 · inbound
Learning-Time Encoding Shapes Unlearning in LLMs MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c0b5c8-9c90-44da-8381-c5a14048f384 · inbound
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5424afb6-2c5a-4f12-853f-4b303c3e455c · inbound
Revisiting the Past: Data Unlearning with Model State History MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 33
Source-reported events for the cited work
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Observation 2cd7d9ee-e5a3-4973-b8a2-4d72d9ec25b7 · inbound
FlexOlmo: Open Language Models for Flexible Data Use MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 2
Source-reported events for the cited work
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Observation 5cdee685-445a-4502-ad10-7677107f5350 · inbound
Generative Model Unlearning: A Survey through Target Events, Unlearning Operators, and Evaluation Protocols MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 199
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c49e96-915c-4cf4-8478-029fac4002f8 · inbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb0a70d-e603-4544-9080-e74b651b3c44 · inbound
Towards Evaluation for Real-World LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bab24fd-e85a-41a8-90b7-908a059962b5 · inbound
Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08e3a370-d0db-4d45-9589-281a4936e596 · inbound
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 7
Source-reported events for the cited work
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Observation d5284694-caef-428d-943e-5b3e02829325 · inbound
Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbdbad17-7e58-410f-8dc3-1c8951360247 · inbound
Representation-Aware Unlearning via Activation Signatures: From Suppression to Entity-Signature Erasure MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 7
Source-reported events for the cited work
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Observation 8481e362-c866-4789-bb18-144ca51a1323 · inbound
Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dfb8a17f-185d-4a12-9cea-53a8c1f74f1d · inbound
Hierarchical Semantic Correlation-Aware Masked Autoencoder for Unsupervised Audio-Visual Representation Learning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 23
Source-reported events for the cited work
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Observation 0c03fe8b-b2e5-4041-b3a2-4c3649245373 · inbound
Is your algorithm unlearning or untraining? MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 29
Source-reported events for the cited work
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Observation eba51e6c-1fb3-4b13-9b9d-01d58ec8e8b0 · inbound
WIN-U: Woodbury-Informed Newton-Unlearning as a retain-free Machine Unlearning Framework MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 17
Source-reported events for the cited work
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Observation 9b6d0106-1bed-4227-8bdc-e731756d73c6 · inbound
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 73
Source-reported events for the cited work
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Observation 57a917fe-4c04-4b85-a573-771860fcc28d · inbound
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 73
Source-reported events for the cited work
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Observation 0e07f16e-504c-44db-b0f7-10bfaebc619c · inbound
Less is More: Geometric Unlearning for LLMs with Minimal Data Disclosure MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 7
Source-reported events for the cited work
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Observation 4b7f5735-28f5-4fc1-9da7-2fefddbc0db3 · inbound
Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 7
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Observation a6c81422-ca93-4f1b-8059-cc15fc64203f · inbound
Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 7
Source-reported events for the cited work
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Observation 841c9ec5-6578-4174-8d35-b6866b143533 · inbound
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 26
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Observation 8a9e81d0-39a4-48b3-88b1-6202daedc88a · inbound
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 26
Source-reported events for the cited work
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Observation 2a873adb-dd16-4a26-abd6-8c539d9214f1 · inbound
Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 10
Source-reported events for the cited work
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Observation 4baaf2d9-a048-467d-9c7f-6d0fd4ba6ad7 · inbound
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 13
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Observation 3af74a01-7bdf-478f-8129-dc3d43b6dc95 · inbound
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 62
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Observation 457b952f-df6e-4b88-8bc7-37521c5f1998 · inbound
MAAT: Multi-phase Adapter-Aware Targeted Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 4
Source-reported events for the cited work
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Observation 90030ed3-5098-4213-be49-d2070ffa697d · inbound
De-attribute to Forget for LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 9
Source-reported events for the cited work
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Observation 8c250104-6699-4201-be1c-bcffd617142b · inbound
De-attribute to Forget for LLM Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
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Observation 8238007e-411a-4bb2-afc6-a92cd9604c98 · inbound
Fast Unlearning at Scale via Margin Self-Correction MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 44
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Observation a07a52d5-52c7-4b21-8e3a-03d557c2b485 · inbound
Validity Threats for Foundation Model Research MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 88
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Observation 879dc37d-5290-4da2-bcb4-1eb5bd83786a · inbound
REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 37
Source-reported events for the cited work
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Observation af338a49-efe6-4894-b39e-acdf64e19021 · inbound
TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language Models MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 13
Source-reported events for the cited work
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Observation 633aad87-478b-4d8c-a1c5-5bcfb818f2b8 · inbound
RepSelect: Robust LLM Unlearning via Representation Selectivity MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 34
Source-reported events for the cited work
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Observation f61c7d5a-09cf-4579-a4d0-d353e1896213 · inbound
PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
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Observation 9cae196f-d660-46f0-a27a-de7f16e113a4 · inbound
Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 57
Source-reported events for the cited work
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Observation 0decda2f-d75e-4e09-9462-3e134a1145ed · inbound
Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel Optimization MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 47
Source-reported events for the cited work
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Observation ddcaab05-540d-4ce4-be78-b8944bc4a1d5 · inbound
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Reference 111
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Observation 3e4836a0-1618-472d-be62-eebdb085f86e · inbound
Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 42
Source-reported events for the cited work
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Observation cedb814f-d7ea-4431-aac1-e52433d7be06 · inbound
Leak-Resistant Unlearning: A New Benchmark for Evaluating Multi-Hop Reasoning Consistency and Recovery Robustness MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 2024
Source-reported events for the cited work
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Observation 0f194926-2e08-48a9-9198-f9faa0fb5e09 · inbound
Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 52
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ede6e981-d000-4367-8356-5d5a0cbe2c41 · inbound
GROM: Gradient-Free Rapid One-Shot Machine Unlearning MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Reference 46
Source-reported events for the cited work
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