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Paper Citation Record · LEDGER

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

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.

pith.paper-citation-record.v1
2504.14662 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:52.306168Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:02.173202Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T18:04:58.452201Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9790112a-dbf0-436c-a4f5-3e9c712be049 · outbound

This paper cites write newline.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning write newline

Reference 1

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Source-reported events for the cited work

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Observation 39b233cb-dafb-45d4-80a4-d2430c478bd2 · outbound

This paper cites GPT-4 Technical Report.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

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Observation d3f2778e-ea9e-4337-8ab9-42eaa3ff72ac · outbound

This paper cites Sam operates far from home: eigenvalue regularization as a dynamical phenomenon.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sam operates far from home: eigenvalue regularization as a dynamical phenomenon

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d9b276a-0787-41c6-91f2-bfba70e0918e · outbound

This paper cites Multitask learning.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multitask learning

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9a6559e4-2c52-458e-82c1-713657912996 · outbound

This paper cites Swad: Domain generalization by seeking flat minima.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Swad: Domain generalization by seeking flat minima

Reference 5

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Source-reported events for the cited work

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Observation 64bc1d3f-af0d-4954-9e6e-6b8ccde15888 · outbound

This paper cites Remote sensing image scene classification: Benchmark and state of the art.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Remote sensing image scene classification: Benchmark and state of the art

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2d74f63-a821-4785-9328-72fc8dc2febd · outbound

This paper cites Describing textures in the wild.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Describing textures in the wild

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.079324Z digest=sha256:5d79e74e7399b79f32d48d2ce9a8c5f6c1d63ab2af4189f5d8eeaba286136d03

Observation ed3d5990-5a19-41a2-9d08-c285b6d34510 · outbound

This paper cites Model merging by uncertainty-based gradient matching.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Model merging by uncertainty-based gradient matching

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5a4f836f-bc61-4e78-b78f-8bfa843cb768 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

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]

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 678e0adb-310d-4af9-9616-e6af30bcf47c · outbound

This paper cites Parameter-efficient fine-tuning of large-scale pre-trained language models.

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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Source-reported events for the cited work

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Observation 2c58aa9f-d05f-4ecb-8270-749b99a9ed05 · outbound

This paper cites Sharpness-aware training for free.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware training for free

Reference 12

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Source-reported events for the cited work

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Observation 1b6e6782-8e3d-4667-a9bb-4752a5d8b604 · outbound

This paper cites Sharpness-aware minimization for efficiently improving generalization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware minimization for efficiently improving generalization

Reference 13

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Source-reported events for the cited work

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Observation 427ca516-6826-40b6-8e07-369f82516f24 · outbound

This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bde69c4d-6ef9-405f-ba8c-10f3d3e78635 · outbound

This paper cites Patching open-vocabulary models by interpolating weights.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Patching open-vocabulary models by interpolating weights

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation dfd3faf2-ea68-4ff2-b330-02b712d0a906 · outbound

This paper cites Editing models with task arithmetic.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Editing models with task arithmetic

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ac448e27-d2e5-4276-a065-82d2ca6ac03f · outbound

This paper cites Averaging weights leads to wider optima and better generalization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Averaging weights leads to wider optima and better generalization

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 853153cd-21e5-4312-84c4-b49829fd759d · outbound

This paper cites Fine-tuning attention modules only: Enhancing weight disentanglement in task arithmetic.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Fine-tuning attention modules only: Enhancing weight disentanglement in task arithmetic

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 490a8b6a-7dea-4150-99d5-488acd62a14e · outbound

This paper cites Dataless knowledge fusion by merging weights of language models.

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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Unavailable: canonical work link unavailable.

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Observation 90e3955b-e8fb-44ee-9195-5645c8506d18 · outbound

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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation ca2bfd0a-a153-478f-8582-9f6cc9a296c8 · outbound

This paper cites 3d object representations for fine-grained categorization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning 3d object representations for fine-grained categorization

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation ca043315-7c1c-4f99-9fc7-4a7c58566e54 · outbound

This paper cites Asam: Adaptive sharpness-aware minimization for scale-invariant learning of deep neural networks.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation caffa68a-7af1-4c5a-98b1-1764425cde6f · outbound

This paper cites Efficient Generalization Improvement Guided by Random Weight Perturbation.

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

This paper cites Friendly sharpness-aware minimization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Friendly sharpness-aware minimization

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6065d512-89eb-443d-aa61-cc31071e8631 · outbound

This paper cites Deep Model Fusion: A Survey.

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

This paper cites Towards efficient and scalable sharpness-aware minimization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Towards efficient and scalable sharpness-aware minimization

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f8b604fb-aabc-4785-944e-364a449f83ed · outbound

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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Decoupled weight decay regularization

Reference 27

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a96450d4-0905-48f2-b2b6-f7400f19492e · outbound

This paper cites A kernel-based view of language model fine-tuning.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning A kernel-based view of language model fine-tuning

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8400c1e3-c5e6-421b-b86a-1108415b11b2 · outbound

This paper cites Merging models with fisher-weighted averaging.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Merging models with fisher-weighted averaging

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9601586f-6d26-42f6-884d-81f8c68b0fd4 · outbound

This paper cites Make sharpness-aware minimization stronger: A sparsified perturbation approach.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Make sharpness-aware minimization stronger: A sparsified perturbation approach

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f2ba6521-19ea-4a9b-906b-cbd4cf059073 · outbound

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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ng, et al

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 41a09f80-33c0-46ac-94a8-63b2d581396b · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 21da6015-ab84-4b54-ac1f-8d8ca34656bc · outbound

This paper cites Tran, Tuan Truong, Nhat Ho, Dinh Phung, and Trung Le.

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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Source-reported events for the cited work

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Observation 8ce953c0-9c53-4822-9f83-f57b84dbd11b · outbound

This paper cites Learning transferable visual models from natural language supervision.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c5748666-b98e-4ab4-941d-9bd16077c1db · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb78be94-b136-4c19-aecd-414cce3243cd · outbound

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Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Capabilities of Gemini Models in Medicine

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94029e53-0711-4a54-8f47-c3e682d57abe · outbound

This paper cites Animating rotation with quaternion curves.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Animating rotation with quaternion curves

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.831710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.211673Z digest=sha256:99078409c4b96462e04d1f0670139c3ce209308f97f132f58d9731ab387de1b1

Observation 95c8541c-eb4e-40b8-8294-538124be0e54 · outbound

This paper cites The german traffic sign recognition benchmark: a multi-class classification competition.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning The german traffic sign recognition benchmark: a multi-class classification competition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.817802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.215876Z digest=sha256:583bebb4871804bf67418cfb09fea51ade5181625484ca21a12dd011654bfd3d

Observation 7332e4c0-15f9-46e2-a11c-4cb5bd93fcb1 · outbound

This paper cites Parameter efficient multi-task model fusion with partial linearization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Parameter efficient multi-task model fusion with partial linearization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.803896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.220936Z digest=sha256:566167adc5a294f5ded992a2bc29ad6d2c58604015ef31ad69042ac901350852

Observation e85f04a7-ee79-4c3d-8b33-179df5401f7f · outbound

This paper cites Weight averaging for neural networks and local resampling schemes.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Weight averaging for neural networks and local resampling schemes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.788844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.225841Z digest=sha256:9a516bde6c0a754ab6bf5df3b39564d18b19fee089b6d1fa2ecb787a21b9bb9f

Observation 30536df0-a5ee-4004-a30f-768aba363fc1 · outbound

This paper cites Multi-task learning for dense prediction tasks: A survey.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multi-task learning for dense prediction tasks: A survey

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.773410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.230616Z digest=sha256:4ba24e68d22abbb73928f511ee501d2e7bad2116d1419844ebddb0bbe61c1102

Observation e11bb90b-4201-4409-a934-8bf25ab02eb8 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.759269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.235023Z digest=sha256:6de8972a63a766e32229c25673cafec9508b3093e329cf42d30324a6511dfb12

Observation b3db906b-63f6-49f4-823e-989045bb981b · outbound

This paper cites an unresolved cited work.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:46:52.745593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.239904Z digest=sha256:9d720fb1c39bd7ac080d1c400bd8188d1b3d5f0f00313ef9e6ac5c624576816c

Observation b61031d3-609b-415e-8d2d-1e8551b2eb6e · outbound

This paper cites Localizing task information for improved model merging and compression.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Localizing task information for improved model merging and compression

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.731460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.244409Z digest=sha256:02f26320f5aad5871d36fa690278dc4f5891aa9c42402f0f6792c4bd983b4d74

Observation f1d9c846-6107-45cc-9cf1-48d979a4932a · outbound

This paper cites Sharpness-aware gradient matching for domain generalization.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Sharpness-aware gradient matching for domain generalization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.716560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.248680Z digest=sha256:32f1cd0f6f484edf8386930cf303abd108a1f02fcc49d49fd0d6adb46d68ca5f

Observation 6459f13a-6a71-4c2d-b5c0-ad22470e9ac9 · outbound

This paper cites Dai, and Quoc V Le.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Dai, and Quoc V Le

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.252761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.252761Z digest=sha256:a541545559c1003087f30d9fc01b39df21782775185a687a395266f846fa5518

Observation a960d68d-ca05-4e55-b3b6-d61897180429 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.692574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.256942Z digest=sha256:17a2bdf8be9d8d0c6b07742ab48629d425deb06f435710ce355fc5e3dbeab068

Observation 741798c9-f846-4bee-a6ba-9309c16e2dba · outbound

This paper cites Robust fine-tuning of zero-shot models.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Robust fine-tuning of zero-shot models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.677734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.261587Z digest=sha256:d1c01f409aa465b0769fed551a6e5b701fe8dd7e2acdb1c3bd714de0b6aee259

Observation c3731f17-704e-4b85-90d1-50dbb4f3313b · outbound

This paper cites Ehinger, James Hays, Antonio Torralba, and Aude Oliva.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ehinger, James Hays, Antonio Torralba, and Aude Oliva

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.663270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.265854Z digest=sha256:04e086a4cfb79621720457924ab0f6559c740a758a43a2ad9f463bc5ea734b84

Observation 0d4a9b06-9593-4e0f-960a-9aa1368a5d01 · outbound

This paper cites Ties-merging: Resolving interference when merging models.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Ties-merging: Resolving interference when merging models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.648639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.270040Z digest=sha256:01308ac72f7901f70243af6d6927ee4a8efb2b0614d1723748bd042e288658bd

Observation bf9a3c36-d3ae-47ea-911f-333d6d224ff9 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.274158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.274158Z digest=sha256:6682f3c6dad42101a88ac170bdf02f692da7c79dcd12e2098c970d0ebf922b48

Observation e037a67b-0269-475a-9028-8f1cae98278d · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Adamerging: Adaptive model merging for multi-task learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.632921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.278748Z digest=sha256:8d7f80d211eea2f18a12905f85176d0ca8bb2a709f089eea3d6eda0facadd670

Observation 809dc2b0-f214-4049-adba-8849efc934ca · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

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

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.283141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.283141Z digest=sha256:ef9475c320497e35e5099eb8e7ace18d9f61b781c3e190bbb13d2d3dd87ea231

Observation d6c7460c-5225-4d37-8512-eb97b6c21345 · outbound

This paper cites Penalizing gradient norm for efficiently improving generalization in deep learning.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Penalizing gradient norm for efficiently improving generalization in deep learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.610283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.287305Z digest=sha256:26944c95d48887904b3a0ac38e28660087ff37e7412f54d90aa3708934be646b

Observation 195be6a6-3eb9-4540-8a81-da4562bb8054 · outbound

This paper cites On the emergence of cross-task linearity in the pretraining-finetuning paradigm.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:46:52.595099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-16T11:46:52.291657Z digest=sha256:ac89b84c93bb655ee43fdf58cd5638eb3396b8c63e5b82452addd6ec9f636e24

Observation b4358be3-2b6d-4bc8-bbb7-d56bb4fdbb76 · outbound

This paper cites @esa (Ref.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning @esa (Ref

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.296055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.296055Z digest=sha256:4690f155e89e4fb5e5b8dafc5050311348a487aad55d147789fa033a11f0d1cc

Observation f230d1c9-7ebf-47dd-896c-20875087493f · outbound

This paper cites an unresolved cited work.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.301140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.301140Z digest=sha256:5752c3e75ec2be8f37897b9c3949641c9d08931e2fc8ce9d43db9250a2059fb2

Observation e1b675bb-f8ce-451a-a9ff-f7d59d889391 · outbound

This paper cites Multi-Task Learning with Deep Neural Networks: A Survey.

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning Multi-Task Learning with Deep Neural Networks: A Survey

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:52.306168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:52.306168Z digest=sha256:0a03094c988b949e2b5f8673727201c920638964993080c40dab7f2ab38d5dc2

Pith citing papers

Observation 913de135-63ae-4297-9c97-7b5e5bc1bac4 · inbound

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic cites this paper.

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:02.173202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:01:02.173202Z digest=sha256:5d5e53129ddf7585fbcce6110b267a478384bf83d51025a7aaba465f23441d11

Observation b4fd1448-f4a4-4a38-a43c-f468cee97cc2 · inbound

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation cites this paper.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Reference 1998

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.372787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.372787Z digest=sha256:c9480e86e2ff311c2997eab94574ad234ae7422bafd4e018aec0b77728fbf323

Observation c4042c61-8c6d-4e72-bee2-bd724fe00bde · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:38:09.295515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-20T07:36:04.114811Z digest=sha256:9ec494cd200dcb397e34e691b19cbdf35dc9b43ee79ed1e6d292c9ab38557351

Observation 63f41deb-6f5f-4a36-b21b-0e887e2acdaa · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:34:05.510155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T08:32:04.249711Z digest=sha256:a98cec73822fe281ee5ab9cc41d70ebc28adea26f18cfc0391883f89f84e0aad

Observation b57c6ba9-6b0b-41b1-84fd-93a218a82bd5 · inbound

Unlocking the Potential of Continual Model Merging: An ODE Perspective cites this paper.

Unlocking the Potential of Continual Model Merging: An ODE Perspective Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:04:58.453671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T17:55:17.067856Z digest=sha256:8bf0f4be821ad6725e37e551249cd9f2ca1f1875e1e84a42dd10ff61951f5f7e

Observation ee601663-becd-42f0-83c1-82b32f1b42a3 · inbound

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T02:42:44.847743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:42:44.847743Z digest=sha256:d8b76ebb753589a00c2d427e2bb904e448e1982ad031507d844a416e82474f1b