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Paper Citation Record · LEDGER

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2604.04984.

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pith.paper-citation-record.v1
2604.04984 v5

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measured 43 of 43 reference resolution

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Outbound references

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This paper cites an unresolved cited work.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

Reference 1

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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This paper cites Low-Complexity Probing via Finding Subnetworks.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Low-Complexity Probing via Finding Subnetworks

Reference 3

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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This paper cites MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning

Reference 7

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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This paper cites Tool Unlearning for Tool-Augmented LLMs.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Tool Unlearning for Tool-Augmented LLMs

Reference 9

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This paper cites InThe Eleventh International Conference on Learning Representations.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity InThe Eleventh International Conference on Learning Representations

Reference 12

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This paper cites Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms

Reference 18

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Forgetting Fast in Recommender Systems

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

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Reference 38

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A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

Reference 40

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Observation 14c04486-e613-42f2-a790-521b38265021 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Foundation Models.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Parameter-Efficient Fine-Tuning for Foundation Models

Reference 41

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Observation 74e0d129-7b82-4353-a66e-bdee01d81292 · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 42

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Observation 8f656476-25de-4c94-a7d4-adadb65ba29a · outbound

This paper cites an unresolved cited work.

A Numerical PDEs Approach to Evolution Equations in Shape Analysis Based on Regularized Morphoelasticity Unresolved cited work

Reference 43

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source=pdf_text observed=2026-07-13T12:04:13.336341Z digest=sha256:75f503f24849ab1b70e9b093eb34247c95c0b018700ab76e2735e147a7f04438

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