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Paper Citation Record · LEDGER

Non-Uniform Parameter-Wise Model Merging

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.15467.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.15467 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:27:50.104621Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 118851f4-7903-425d-84ae-34ae97cacfdb · outbound

This paper cites Random decision forests,.

Non-Uniform Parameter-Wise Model Merging Random decision forests,

Reference 1

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Observation 88cfd81f-4c7d-4779-8f08-44145024c53d · outbound

This paper cites On power laws in deep ensembles,.

Non-Uniform Parameter-Wise Model Merging On power laws in deep ensembles,

Reference 2

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Observation 9d7f076a-55fe-4d75-b8b0-846c3e9b2380 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

Non-Uniform Parameter-Wise Model Merging Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 3

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Observation fcd91e5b-1a11-4f13-a1f8-5d8c97c42a16 · outbound

This paper cites Model fusion via optimal transport,.

Non-Uniform Parameter-Wise Model Merging Model fusion via optimal transport,

Reference 4

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Observation 8d25690a-e62b-4bba-9a9b-04b86ade0d1d · outbound

This paper cites Optimizing mode connectivity via neuron alignment,.

Non-Uniform Parameter-Wise Model Merging Optimizing mode connectivity via neuron alignment,

Reference 5

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Observation 2062a1aa-9c45-4fae-9a8b-67f973f89871 · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries,.

Non-Uniform Parameter-Wise Model Merging Git re-basin: Merging models modulo permutation symmetries,

Reference 6

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Observation df15d0f5-a5fb-43fd-a035-fb41d3c37e3e · outbound

This paper cites Re-basin via implicit sinkhorn differentiation,.

Non-Uniform Parameter-Wise Model Merging Re-basin via implicit sinkhorn differentiation,

Reference 7

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Observation 00a04bca-fc7b-498b-bb6c-5f7b9c51bd83 · outbound

This paper cites REPAIR: REnormalizing permuted activations for interpolation repair,.

Non-Uniform Parameter-Wise Model Merging REPAIR: REnormalizing permuted activations for interpolation repair,

Reference 8

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Observation 69485dde-dab5-4094-a612-d9280e556564 · outbound

This paper cites Zipit! merging models from different tasks without training,.

Non-Uniform Parameter-Wise Model Merging Zipit! merging models from different tasks without training,

Reference 9

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Source-reported events for the cited work

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Observation 5150e573-73a0-4c79-8a21-65708aca139f · outbound

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

Non-Uniform Parameter-Wise Model Merging Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time,

Reference 10

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Observation 6aca4d3b-dcf5-4fc5-b659-68e4bebdc31b · outbound

This paper cites Editing models with task arithmetic,.

Non-Uniform Parameter-Wise Model Merging Editing models with task arithmetic,

Reference 11

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Observation 0722579c-b7cc-4715-b23a-1c2f9405750a · outbound

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

Non-Uniform Parameter-Wise Model Merging Robust fine-tuning of zero-shot models,

Reference 12

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Observation 626a1050-e326-4737-9934-34dbf4be1a20 · outbound

This paper cites Merging models with fisher-weighted averaging,.

Non-Uniform Parameter-Wise Model Merging Merging models with fisher-weighted averaging,

Reference 13

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Observation f4e8e2d3-f68d-46ad-9bd1-fadeebe80118 · outbound

This paper cites PopulAtion Parameter Averaging (PAPA).

Non-Uniform Parameter-Wise Model Merging PopulAtion Parameter Averaging (PAPA)

Reference 14

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Observation 9dc3c8da-c7c6-4773-a0a6-2b4476b41bb1 · outbound

This paper cites Linear mode connectivity and the lottery ticket hypothesis,.

Non-Uniform Parameter-Wise Model Merging Linear mode connectivity and the lottery ticket hypothesis,

Reference 15

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Source-reported events for the cited work

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Observation 34d89ff1-bd9c-44f3-bb9d-f74fbe99e800 · outbound

This paper cites The role of permutation invariance in linear mode connectivity of neural networks,.

Non-Uniform Parameter-Wise Model Merging The role of permutation invariance in linear mode connectivity of neural networks,

Reference 16

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Observation e7efbea1-8d35-4cd6-8a20-0b0e0866ddfb · outbound

This paper cites Harmony in diversity: Merging neural networks with canonical correlation analysis,.

Non-Uniform Parameter-Wise Model Merging Harmony in diversity: Merging neural networks with canonical correlation analysis,

Reference 17

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Source-reported events for the cited work

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Observation a27f89c2-8079-4d9d-8a47-c40c48ebd08d · outbound

This paper cites Leveraging function space aggregation for federated learning at scale,.

Non-Uniform Parameter-Wise Model Merging Leveraging function space aggregation for federated learning at scale,

Reference 18

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Observation 40c2c535-6b8e-41c8-b482-77d0e44f780f · outbound

This paper cites A closer look at memorization in deep networks,.

Non-Uniform Parameter-Wise Model Merging A closer look at memorization in deep networks,

Reference 19

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Observation d7b25f37-190e-4b06-baac-2923e17810c9 · outbound

This paper cites Visualizing the loss landscape of neural nets,.

Non-Uniform Parameter-Wise Model Merging Visualizing the loss landscape of neural nets,

Reference 20

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Observation 13852389-dffa-4a28-80a2-750f211b9ac1 · outbound

This paper cites Exploring the geometry and topology of neural network loss landscapes,.

Non-Uniform Parameter-Wise Model Merging Exploring the geometry and topology of neural network loss landscapes,

Reference 21

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Observation ef4a862d-9a43-42dd-85dd-6663f9718f9c · outbound

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Non-Uniform Parameter-Wise Model Merging Topology and geometry of half-rectified network optimization,

Reference 22

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Observation aa27df2f-0e31-4bb1-86fa-b59da3f6ff7b · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns,.

Non-Uniform Parameter-Wise Model Merging Loss surfaces, mode connectivity, and fast ensembling of dnns,

Reference 23

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Observation a9495f7f-89dc-4cf8-8967-82a073299aca · outbound

This paper cites Essentially no barriers in neural network energy landscape,.

Non-Uniform Parameter-Wise Model Merging Essentially no barriers in neural network energy landscape,

Reference 24

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Observation 31f146cb-f4a8-4a30-bb68-63c29831945b · outbound

This paper cites On the Geometry of Feedforward Neural Network Error Surfaces,.

Non-Uniform Parameter-Wise Model Merging On the Geometry of Feedforward Neural Network Error Surfaces,

Reference 25

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Observation 431fa273-474a-4941-ab6e-6f2a89cef008 · outbound

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Non-Uniform Parameter-Wise Model Merging On the algebraic structure of feedforward network weight spaces,

Reference 26

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Observation c4e9c622-16f6-40ac-82c1-b5bc5c605010 · outbound

This paper cites What is being transferred in transfer learning?.

Non-Uniform Parameter-Wise Model Merging What is being transferred in transfer learning?

Reference 27

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Observation 3bafd985-c73c-46ca-b975-92bbf91e42ce · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Non-Uniform Parameter-Wise Model Merging Rethinking the inception architecture for computer vision,

Reference 28

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Observation 126131e6-3b41-4eb3-9a13-ddf0a16bb091 · outbound

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

Non-Uniform Parameter-Wise Model Merging Averaging weights leads to wider optima and better generalization,

Reference 29

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Observation 13c241ef-9a0c-4810-8f17-4fe86d270101 · outbound

This paper cites TIES- merging: Resolving interference when merging models,.

Non-Uniform Parameter-Wise Model Merging TIES- merging: Resolving interference when merging models,

Reference 30

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Source-reported events for the cited work

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Observation 17860e81-08e4-45ee-9eb0-57f449636ff7 · outbound

This paper cites Representation Surgery for Multi-Task Model Merging.

Non-Uniform Parameter-Wise Model Merging Representation Surgery for Multi-Task Model Merging

Reference 31

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Observation 1bb68983-584e-499a-8663-55a26350ce7d · outbound

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Non-Uniform Parameter-Wise Model Merging Pytorch: An imperative style, high-performance deep learning library,

Reference 32

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Observation 40f60b5b-5722-4c31-a485-b22fe7e35355 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Non-Uniform Parameter-Wise Model Merging Very deep convolutional networks for large-scale image recognition,

Reference 33

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Source-reported events for the cited work

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Observation bf6d5a5f-5200-49ec-afce-19776b1ef0e4 · outbound

This paper cites Deep residual learning for image recognition,.

Non-Uniform Parameter-Wise Model Merging Deep residual learning for image recognition,

Reference 34

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Source-reported events for the cited work

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Observation 7194f8b5-20ae-4499-8424-7aed396fb5bf · outbound

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Non-Uniform Parameter-Wise Model Merging Wide Residual Networks

Reference 35

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Source-reported events for the cited work

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Observation 3897be7a-c9c4-4b30-8ef2-dfcfd86eb229 · outbound

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Non-Uniform Parameter-Wise Model Merging Adam: A method for stochastic optimization,

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8a0b373-d0e7-4a17-b638-d4fd615b9737 · outbound

This paper cites Convergent learning: Do different neural networks learn the same representations?.

Non-Uniform Parameter-Wise Model Merging Convergent learning: Do different neural networks learn the same representations?

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:50.220647Z

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.

source=pdf_text observed=2026-08-11T11:27:50.104621Z digest=sha256:076a03bb1818f07fda8d26c53717a99df5d045d4c119e433a2b4a6c703530568

Observation 50d3744f-86ff-400e-abf3-e8b97b8304a2 · outbound

This paper cites 3259–3269.

Non-Uniform Parameter-Wise Model Merging 3259–3269

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:50.648778Z

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.

source=pdf_text observed=2026-08-11T11:27:49.946282Z digest=sha256:fba7a05a1b14cfedd2022fa0a1fb92eeeb9677d78b38081e9f0581a92ab663db

Observation fca24d5b-d893-4735-ab5d-4d00df8398e9 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper/2020/file/ 0607f4c705595b911a4f3e7a127b44e0-Paper.pdf.

Non-Uniform Parameter-Wise Model Merging Available: https://proceedings.neurips.cc/paper/2020/file/ 0607f4c705595b911a4f3e7a127b44e0-Paper.pdf

Reference 523

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:50.389973Z

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.

source=pdf_text observed=2026-08-11T11:27:50.037366Z digest=sha256:d580fc8f53476ba4ef8235aaee6c2f538cd58fcc59e43f52442bcdce23f707be

Observation e384b8c7-7751-4ca3-baf6-dd0d4d33758f · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2018/file/be3087e74e9100d4bc4c6268cdbe8456-Paper.pdf.

Non-Uniform Parameter-Wise Model Merging Available: https://proceedings.neurips.cc/paper files/ paper/2018/file/be3087e74e9100d4bc4c6268cdbe8456-Paper.pdf

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:50.464997Z

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.

source=pdf_text observed=2026-08-11T11:27:50.009768Z digest=sha256:2e586b295dd5091098ee6f3d20fb4b218dadfc04cdd632449d1cf25533ed31e7

Observation fd33a853-de7d-4738-a3ad-10de6f7022de · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2019/file/bdbca288fee7f92f2bfa9f7012727740-Paper.pdf.

Non-Uniform Parameter-Wise Model Merging Available: https://proceedings.neurips.cc/paper files/ paper/2019/file/bdbca288fee7f92f2bfa9f7012727740-Paper.pdf

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:50.073704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:50.073704Z digest=sha256:1e3f8421fe337caaf464130431345b968d24d9d94abe52f96836815348d41482

Observation 8f2f4474-19b7-41c1-a4a9-2d1b2fa5af93 · outbound

This paper cites Available: https://openreview.net/forum?id=dNigytemkL.

Non-Uniform Parameter-Wise Model Merging Available: https://openreview.net/forum?id=dNigytemkL

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:50.611657Z

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.

source=pdf_text observed=2026-08-11T11:27:49.960469Z digest=sha256:be65d69df7e841c50fbe195a0b144206f7f94e24231163ab22d2dd01c95f1858

Pith citing papers

No inbound Pith citation observations are available.