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Paper Citation Record · LEDGER

Model Fusion via Neuron Transplantation

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.06849.

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

pith.paper-citation-record.v1
2502.06849 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:40:12.919217Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

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

39 of 39 outbound references displayed

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  • verified fuzzy9
  • unresolved21
  • parse uncertain0
  • malformed identifier3
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External citation measurements

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Outbound references

Observation f14f0eb2-dc7e-4114-9d3a-c4fea7e7aecd · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

Model Fusion via Neuron Transplantation Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 1

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Observation 2b59b83d-946c-452b-a971-f18dc250df86 · outbound

This paper cites Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning.

Model Fusion via Neuron Transplantation Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning

Reference 2

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Observation 349614d4-e21f-4353-9708-06f40d22d9ca · outbound

This paper cites an unresolved cited work.

Model Fusion via Neuron Transplantation Unresolved cited work

Reference 3

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Observation 2ee0c69b-c8f2-4238-90b1-3fe05d11cdc2 · outbound

This paper cites In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (12 2017).https://doi.org/10.1109/ICMLA.2017.00-72.

Model Fusion via Neuron Transplantation In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (12 2017).https://doi.org/10.1109/ICMLA.2017.00-72

Reference 4

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Observation 2397d0c1-e6f2-4569-a2d9-f51a84abb47e · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Model Fusion via Neuron Transplantation PaLM: Scaling Language Modeling with Pathways

Reference 5

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Observation 0f1a2869-92ba-4ab0-b564-231a8d314c2f · outbound

This paper cites Distributed Deep Learning Using Synchronous Stochastic Gradient Descent.

Model Fusion via Neuron Transplantation Distributed Deep Learning Using Synchronous Stochastic Gradient Descent

Reference 6

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Observation 562d6bc2-0529-40f3-9fae-c78f092d928b · outbound

This paper cites IEEE Signal Processing Magazine29(6), 141–142 (2012).https://doi.

Model Fusion via Neuron Transplantation IEEE Signal Processing Magazine29(6), 141–142 (2012).https://doi

Reference 7

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Observation c5a38cc4-77fb-4e07-a185-9a15a3c0b46d · outbound

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Model Fusion via Neuron Transplantation Unresolved cited work

Reference 8

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Observation 00b1c67e-bb41-4985-a3e8-74ed80dc9d28 · outbound

This paper cites The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks.

Model Fusion via Neuron Transplantation The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Reference 9

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Observation 507cbe3f-0dd6-4001-b016-9f07c5f6a4dc · outbound

This paper cites DepGraph: Towards Any Structural Pruning.

Model Fusion via Neuron Transplantation DepGraph: Towards Any Structural Pruning

Reference 10

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Observation b16f510c-2da7-4206-9c08-3b06a33b0168 · outbound

This paper cites Journal of Machine Learning Research 22(78), 1–8 (2021), http:// jmlr.org/papers/v22/20-451.html.

Model Fusion via Neuron Transplantation Journal of Machine Learning Research 22(78), 1–8 (2021), http:// jmlr.org/papers/v22/20-451.html

Reference 11

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Observation 89577bbf-8180-4c24-9d5e-7acf0fc265ec · outbound

This paper cites Deep Residual Learning for Image Recognition.

Model Fusion via Neuron Transplantation Deep Residual Learning for Image Recognition

Reference 12

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Observation 54b88acd-eed9-4813-80e9-6b623ddfbb13 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Model Fusion via Neuron Transplantation Distilling the Knowledge in a Neural Network

Reference 13

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Observation 8289ed5a-2f89-4aab-be32-0e9022c1f9df · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Model Fusion via Neuron Transplantation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 14

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Observation 70535c14-1087-4a3b-8959-7cc9424c7e34 · outbound

This paper cites University of Toronto (05 2012).

Model Fusion via Neuron Transplantation University of Toronto (05 2012)

Reference 15

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Source-reported events for the cited work

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Observation 5af69b65-776f-46e3-af8a-23235d62ec2a · outbound

This paper cites Proceedings of the IEEE86(11), 2278–2324 (1998).https: //doi.org/10.1109/5.726791.

Model Fusion via Neuron Transplantation Proceedings of the IEEE86(11), 2278–2324 (1998).https: //doi.org/10.1109/5.726791

Reference 16

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Observation 60098757-7e5b-437e-8735-0d02cc4b4b70 · outbound

This paper cites Neural Processing Letters51(1), 1–22 (Jul 2019), http://dx.doi.org/10.1007/s11063-019-10074-0.

Model Fusion via Neuron Transplantation Neural Processing Letters51(1), 1–22 (Jul 2019), http://dx.doi.org/10.1007/s11063-019-10074-0

Reference 17

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Observation caef796f-0c51-405b-abdb-784a92fc3d27 · outbound

This paper cites In: International Conference on Learning Representations (2017),https: //openreview.net/forum?id=rJqFGTslg.

Model Fusion via Neuron Transplantation In: International Conference on Learning Representations (2017),https: //openreview.net/forum?id=rJqFGTslg

Reference 18

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6a575a5b-d925-4bb3-b96b-6b35a02c3964 · outbound

This paper cites Deep Model Fusion: A Survey.

Model Fusion via Neuron Transplantation Deep Model Fusion: A Survey

Reference 19

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Observation ea83ea76-559b-4002-b36d-dfaed9bb8537 · outbound

This paper cites Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy.

Model Fusion via Neuron Transplantation Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

Reference 20

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Observation a16f8920-dd0d-4efa-9b0f-b874b55c4651 · outbound

This paper cites In: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S.

Model Fusion via Neuron Transplantation In: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S

Reference 21

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Observation 9a9629a2-36d4-4dea-8049-596b0fcc5422 · outbound

This paper cites A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions.

Model Fusion via Neuron Transplantation A Survey on Deep Neural Network Compression: Challenges, Overview, and Solutions

Reference 22

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Observation b4d3b8d7-007e-4fc1-a415-e7451a33a701 · outbound

This paper cites Journal of King Saud University - Computer and Information Sciences 35(2), 757–774 (2023), https://www.sciencedirect.com/ science/article/pii/S1319157823000228.

Model Fusion via Neuron Transplantation Journal of King Saud University - Computer and Information Sciences 35(2), 757–774 (2023), https://www.sciencedirect.com/ science/article/pii/S1319157823000228

Reference 23

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Observation 59bae63f-a211-4994-888f-f1d5ccf61451 · outbound

This paper cites NIPS (01 2011).

Model Fusion via Neuron Transplantation NIPS (01 2011)

Reference 24

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Observation 3d12cbb9-1ab5-48e1-a467-dc2bfe4a510e · outbound

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

Model Fusion via Neuron Transplantation What is being transferred in transfer learning?

Reference 25

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Observation 69905513-81c6-4f61-a220-eca3b4cd57e4 · outbound

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Model Fusion via Neuron Transplantation Unresolved cited work

Reference 26

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Observation ecd67031-13a8-40fb-93a6-cef6b8c30ee2 · outbound

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Model Fusion via Neuron Transplantation In: Advances in Neural Information Processing Systems 32, pp

Reference 27

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Observation b2be5ba2-cadb-4443-b2c3-0b82776a544f · outbound

This paper cites Future Genera- tion Computer Systems 150, 272–293 (2024), https://www.sciencedirect.com/ science/article/pii/S0167739X23003333 18 M.

Model Fusion via Neuron Transplantation Future Genera- tion Computer Systems 150, 272–293 (2024), https://www.sciencedirect.com/ science/article/pii/S0167739X23003333 18 M

Reference 28

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Observation 8dd3ce01-4fb3-4aeb-b5a3-8c96115e29be · outbound

This paper cites In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence.

Model Fusion via Neuron Transplantation In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence

Reference 29

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Observation 0d3a7235-aacb-4011-b59c-143afcb2a5c0 · outbound

This paper cites IEEE Transactions on Neural Networks 4(5), 740–747 (1993).https://doi.org/10.1109/72.248452.

Model Fusion via Neuron Transplantation IEEE Transactions on Neural Networks 4(5), 740–747 (1993).https://doi.org/10.1109/72.248452

Reference 30

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Observation 31f684df-36fd-4f53-a983-127e149e5156 · outbound

This paper cites MEAL: Multi-Model Ensemble via Adversarial Learning.

Model Fusion via Neuron Transplantation MEAL: Multi-Model Ensemble via Adversarial Learning

Reference 31

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Observation c4414d19-e8ba-46f7-a3c8-3179a5167914 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Model Fusion via Neuron Transplantation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

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Observation 68fd2f24-d561-4052-ae0a-f71edbfe87d2 · outbound

This paper cites Model Fusion via Optimal Transport.

Model Fusion via Neuron Transplantation Model Fusion via Optimal Transport

Reference 33

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Observation 6f371c0a-1287-422b-b003-490ac5496631 · outbound

This paper cites Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.

Model Fusion via Neuron Transplantation Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks

Reference 34

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Observation bf26da07-8ea2-444f-8da1-1b945cc34310 · outbound

This paper cites Attention Is All You Need.

Model Fusion via Neuron Transplantation Attention Is All You Need

Reference 35

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Observation e5304072-179b-488f-aa99-290238dad244 · outbound

This paper cites Online Ensemble Model Compression using Knowledge Distillation.

Model Fusion via Neuron Transplantation Online Ensemble Model Compression using Knowledge Distillation

Reference 36

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local_arxiv, observed 2026-08-08T21:40:13.147926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 319b5382-2d00-4bfa-8ed3-b66b60c4ba4d · outbound

This paper cites Federated Learning with Matched Averaging.

Model Fusion via Neuron Transplantation Federated Learning with Matched Averaging

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T21:40:12.912206Z

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Observation 3a05c8c2-f989-4e02-aa2e-139d9558bf77 · outbound

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

Model Fusion via Neuron Transplantation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 38

Resolution
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no resolver link, observed 2026-08-08T21:40:12.915603Z

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Observation 90b0b23b-80e3-4b74-9c61-40e1feab4299 · outbound

This paper cites A Survey on Ensemble Learning under the Era of Deep Learning.

Model Fusion via Neuron Transplantation A Survey on Ensemble Learning under the Era of Deep Learning

Reference 39

Resolution
malformed identifier
local_arxiv, observed 2026-08-08T21:40:13.123755Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.