Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:52.306168Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 6 inbound Pith citation observations for arXiv:2504.14662.
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 2026-08-16T11:46:52.306168Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:02.173202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T18:04:58.452201Z
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9790112a-dbf0-436c-a4f5-3e9c712be049 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning write newline
Reference 1
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Observation 39b233cb-dafb-45d4-80a4-d2430c478bd2 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning GPT-4 Technical Report
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Observation d3f2778e-ea9e-4337-8ab9-42eaa3ff72ac · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sam operates far from home: eigenvalue regularization as a dynamical phenomenon
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multitask learning
Reference 4
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Swad: Domain generalization by seeking flat minima
Reference 5
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Observation 64bc1d3f-af0d-4954-9e6e-6b8ccde15888 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Remote sensing image scene classification: Benchmark and state of the art
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Describing textures in the wild
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Observation ed3d5990-5a19-41a2-9d08-c285b6d34510 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Model merging by uncertainty-based gradient matching
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning The mnist database of handwritten digit images for machine learning research [best of the web]
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Parameter-efficient fine-tuning of large-scale pre-trained language models
Reference 11
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware training for free
Reference 12
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Observation 1b6e6782-8e3d-4667-a9bb-4752a5d8b604 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware minimization for efficiently improving generalization
Reference 13
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Observation 427ca516-6826-40b6-8e07-369f82516f24 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification
Reference 14
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Observation bde69c4d-6ef9-405f-ba8c-10f3d3e78635 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Patching open-vocabulary models by interpolating weights
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Observation dfd3faf2-ea68-4ff2-b330-02b712d0a906 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Editing models with task arithmetic
Reference 16
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Observation ac448e27-d2e5-4276-a065-82d2ca6ac03f · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Averaging weights leads to wider optima and better generalization
Reference 17
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Observation 853153cd-21e5-4312-84c4-b49829fd759d · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Fine-tuning attention modules only: Enhancing weight disentanglement in task arithmetic
Reference 18
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Observation 490a8b6a-7dea-4150-99d5-488acd62a14e · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Dataless knowledge fusion by merging weights of language models
Reference 19
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Observation 90e3955b-e8fb-44ee-9195-5645c8506d18 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work
Reference 20
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Observation ca2bfd0a-a153-478f-8582-9f6cc9a296c8 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning 3d object representations for fine-grained categorization
Reference 21
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Observation ca043315-7c1c-4f99-9fc7-4a7c58566e54 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks
Reference 22
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Observation caffa68a-7af1-4c5a-98b1-1764425cde6f · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Efficient Generalization Improvement Guided by Random Weight Perturbation
Reference 23
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Observation 144a9c3d-6267-46a6-b06a-6e5827767814 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Friendly sharpness-aware minimization
Reference 24
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Observation 6065d512-89eb-443d-aa61-cc31071e8631 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Deep Model Fusion: A Survey
Reference 25
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Observation 50a20f6c-be2c-4752-9e32-b842f131d0d7 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Towards efficient and scalable sharpness-aware minimization
Reference 26
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Observation f8b604fb-aabc-4785-944e-364a449f83ed · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Decoupled weight decay regularization
Reference 27
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Observation a96450d4-0905-48f2-b2b6-f7400f19492e · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning A kernel-based view of language model fine-tuning
Reference 28
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Observation 8400c1e3-c5e6-421b-b86a-1108415b11b2 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Merging models with fisher-weighted averaging
Reference 29
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Observation 9601586f-6d26-42f6-884d-81f8c68b0fd4 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Make sharpness-aware minimization stronger: A sparsified perturbation approach
Reference 30
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Observation f2ba6521-19ea-4a9b-906b-cbd4cf059073 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ng, et al
Reference 31
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Observation 41a09f80-33c0-46ac-94a8-63b2d581396b · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Task arithmetic in the tangent space: Improved editing of pre-trained models
Reference 32
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Observation 21da6015-ab84-4b54-ac1f-8d8ca34656bc · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Tran, Tuan Truong, Nhat Ho, Dinh Phung, and Trung Le
Reference 33
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Observation 8ce953c0-9c53-4822-9f83-f57b84dbd11b · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Learning transferable visual models from natural language supervision
Reference 34
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Observation c5748666-b98e-4ab4-941d-9bd16077c1db · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Reference 35
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Observation bb78be94-b136-4c19-aecd-414cce3243cd · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Capabilities of Gemini Models in Medicine
Reference 36
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Observation 94029e53-0711-4a54-8f47-c3e682d57abe · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Animating rotation with quaternion curves
Reference 37
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Observation 95c8541c-eb4e-40b8-8294-538124be0e54 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning The german traffic sign recognition benchmark: a multi-class classification competition
Reference 38
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Observation 7332e4c0-15f9-46e2-a11c-4cb5bd93fcb1 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Parameter efficient multi-task model fusion with partial linearization
Reference 39
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Observation e85f04a7-ee79-4c3d-8b33-179df5401f7f · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Weight averaging for neural networks and local resampling schemes
Reference 40
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multi-task learning for dense prediction tasks: A survey
Reference 41
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 42
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work
Reference 43
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Localizing task information for improved model merging and compression
Reference 44
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Observation f1d9c846-6107-45cc-9cf1-48d979a4932a · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware gradient matching for domain generalization
Reference 45
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Observation 6459f13a-6a71-4c2d-b5c0-ad22470e9ac9 · outbound
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Dai, and Quoc V Le
Reference 46
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Reference 47
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Robust fine-tuning of zero-shot models
Reference 48
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ehinger, James Hays, Antonio Torralba, and Aude Oliva
Reference 49
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ties-merging: Resolving interference when merging models
Reference 50
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Reference 51
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Adamerging: Adaptive model merging for multi-task learning
Reference 52
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Language models are super mario: Absorbing abilities from homologous models as a free lunch
Reference 53
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Penalizing gradient norm for efficiently improving generalization in deep learning
Reference 54
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning On the emergence of cross-task linearity in the pretraining-finetuning paradigm
Reference 55
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning @esa (Ref
Reference 56
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work
Reference 57
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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multi-Task Learning with Deep Neural Networks: A Survey
Reference 58
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Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
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Observation 63f41deb-6f5f-4a36-b21b-0e887e2acdaa · inbound
Unlocking the Potential of Continual Model Merging: An ODE Perspective Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Reference 9
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Observation b57c6ba9-6b0b-41b1-84fd-93a218a82bd5 · inbound
Unlocking the Potential of Continual Model Merging: An ODE Perspective Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Reference 9
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Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Reference 18
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