Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:27:58.622292Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 2 inbound Pith citation observations for arXiv:2507.21084.
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, observed 2026-08-15T19:27:58.622292Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T21:14:08.511356Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
48 of 48 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 1
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Observation 0cd459ac-38b1-442f-b641-e80440043b0f · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 2
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Observation fd094568-64c4-472b-8507-0298963ca994 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation 5f7d004d-df4b-4e4e-b2ae-1a9020a2c033 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 4
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Observation ef603dff-49f7-4128-95a8-88ecd569afff · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 5
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Observation 7ea77796-7498-46c8-b5a1-f5cb1b85fcac · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 6
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Observation 66394463-0f33-40e6-af47-9e02e5818c68 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing BatchTopK Sparse Autoencoders
Reference 7
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Observation a72076ad-6db8-4615-8ecf-4a965e830e38 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 8
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 9
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Observation aaa5e8da-72c2-45b9-a071-474c33f64265 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 10
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Observation c91bcb09-0ab8-4742-b826-39c967946464 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 11
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Observation 4f35c893-7250-4861-ae2c-feffbf722ffb · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing The Llama 3 Herd of Models
Reference 12
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Observation 3a5d3998-81cb-4156-b55c-9be7fd75a035 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
Reference 13
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Observation 96cc91e4-bddf-4409-9522-f3d40e3a30e5 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Dissecting Fine-Tuning Unlearning in Large Language Models
Reference 14
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Observation 94a64031-8273-416d-a7ab-6ced6f3c33d1 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 15
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Observation f7998681-d363-4953-a5c0-af9becae64ee · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks
Reference 16
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Observation 7447eb9b-e3ee-4125-90e2-6a12b70b00b1 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Sums of four polygonal numbers: precise formulas
Reference 17
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Observation f2904b5e-4be9-47c0-a63d-3379e27851bc · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
Reference 18
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Observation bf72b1a3-e464-452b-89d9-47c62043611d · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 19
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Observation d68ca24c-7242-44b2-8730-2e6a2c25ba2e · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Reference 20
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 21
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Observation 408cbe22-ac8c-4ee6-a8bb-30f9d58d2f46 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 22
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Observation 28ec945a-e7fa-4972-8abc-085faa002938 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy
Reference 23
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Observation c8dda7d9-ae90-49da-82a0-cbf1148265d8 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities
Reference 24
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Observation 06a6b41e-61e1-4970-9948-21a8e1b739eb · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Eight Methods to Evaluate Robust Unlearning in LLMs
Reference 25
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Observation dc05f647-39f1-4a55-8792-824d887baff1 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 26
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Observation 97ed5bea-8990-434c-a99d-34a34280de65 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 27
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Observation 1ea37918-a725-4a4a-bffc-d3db13faa455 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing An optimal control deep learning method to design artificial viscosities for Discontinuous Galerkin schemes
Reference 28
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Observation 4bc47687-e78f-40dd-8c93-755ecee7395d · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Automatically Interpreting Millions of Features in Large Language Models
Reference 29
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Observation 482702c0-7c49-4aca-8039-fe2da421a66d · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Criterion for ultra-fast bubble walls: the impact of hydrodynamic obstruction
Reference 30
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Observation cb8b5def-cde5-48d9-befd-88b7ab6ece46 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Reference 31
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Observation 1cb72d04-9639-465d-9bd7-20bd3a2bae93 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Reference 32
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Observation e9c49e96-915c-4cf4-8478-029fac4002f8 · outbound
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
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 34
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 35
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Observation de53d78a-af3e-4591-9bbf-86d8a170051f · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 36
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 37
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Observation 126e7a3b-f045-45f9-ab10-bf6e60ee0002 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Emergent Abilities of Large Language Models
Reference 38
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Observation fe42743d-c9d3-407b-8329-ec84921a077d · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Marked boundary rigidity for surfaces of Anosov type
Reference 39
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Observation c2b5620f-0bd3-4687-89d8-a82610d28cb1 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 40
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Observation f4f10265-84a5-4eab-b468-e4bd4ebbed69 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Unresolved cited work
Reference 41
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Observation 7116b90b-2c85-46c6-8f67-f2a6cbdedffb · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Enhancing Workflow Security in Multi-Cloud Environments through Monitoring and Adaptation upon Cloud Service and Network Security Violations
Reference 42
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Observation 4f1dfc6f-cc09-46a5-a3bb-8f5eb7733153 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching
Reference 43
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Reference 44
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Reference 45
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Observation c9f3573e-ce04-4213-8dd5-6372ebb77e72 · outbound
Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network
Reference 46
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Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing online" 'onlinestring :=
Reference 47
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Reference 48
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Observation 3e797dea-8b52-46ce-8657-942452ac7369 · inbound
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Reference 149
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Observation fba70547-72d3-4315-bcfc-69b48146fbed · inbound
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Reference 6
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