Paper Citation Record · LEDGER

Model Fusion via Retrofitting

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.00037.

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

pith.paper-citation-record.v1
2507.00037 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:52:02.267181Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T06:59:09.799156Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:01:11.774460Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy10
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9928d30a-3a15-4e51-857c-41a8492baa8f · outbound

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

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

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.195128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67a1f82-d9e2-47ba-884c-2c25a7fde431 · outbound

This paper cites Np-hardness of euclidean sum-of-squares clustering.

Model Fusion via Retrofitting Np-hardness of euclidean sum-of-squares clustering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.491253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c21aa2aa-3f66-46ff-9d26-b889d57b3fae · outbound

This paper cites On Clustering Time Series Using Euclidean Distance and Pearson Correlation.

Model Fusion via Retrofitting On Clustering Time Series Using Euclidean Distance and Pearson Correlation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.202119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 851f7885-7267-42a1-90a9-835d7a9ca96b · outbound

This paper cites Convergence properties of the k-means algorithms.

Model Fusion via Retrofitting Convergence properties of the k-means algorithms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.483769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45b95519-748e-4b66-a0fd-412eff94ec48 · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

Model Fusion via Retrofitting AutoAugment: Learning Augmentation Policies from Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.208252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dcd9057-b677-4a74-bb3d-b8689d7c50d0 · outbound

This paper cites How Important Is a Neuron?.

Model Fusion via Retrofitting How Important Is a Neuron?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.211249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cba7ec-f535-4601-b250-8d5f053bb511 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Model Fusion via Retrofitting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.214356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3300390e-f534-4e88-a601-a1a723ffd00a · outbound

This paper cites Correlation-based pruning algorithm with weight compensation for feedforward neural networks.

Model Fusion via Retrofitting Correlation-based pruning algorithm with weight compensation for feedforward neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.475440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23763d3c-f1aa-4a73-bb0d-c4863e9db0fd · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Model Fusion via Retrofitting The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.219293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6497ef3-866d-42bb-92b9-948ec5f88012 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Model Fusion via Retrofitting Distilling the Knowledge in a Neural Network

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.221937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9302120-1ee4-42b8-88fb-4131836fe75a · outbound

This paper cites Flat minima.

Model Fusion via Retrofitting Flat minima

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.224532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ff9790-a921-4e59-89f6-ee3670a8e630 · outbound

This paper cites Transformer Fusion with Optimal Transport.

Model Fusion via Retrofitting Transformer Fusion with Optimal Transport

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.227375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8976a05d-8c1e-4085-a5e4-483c521f19b0 · outbound

This paper cites A local search approximation algorithm for k-means clustering.

Model Fusion via Retrofitting A local search approximation algorithm for k-means clustering

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.462816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 671ba1be-2c1d-4e9c-9dbc-0f04224a3808 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Model Fusion via Retrofitting Adam: A Method for Stochastic Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.232278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee5c366-5f06-4853-a83e-5912c687fb29 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

Model Fusion via Retrofitting Captum: A unified and generic model interpretability library for PyTorch

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.234785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78271b0e-9daf-4060-9dc6-0e71caf04510 · outbound

This paper cites The hungarian method for the assignment problem.

Model Fusion via Retrofitting The hungarian method for the assignment problem

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.237460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf9e106-2701-4756-ab2f-4f01c3f4eb3d · outbound

This paper cites On the surprising effectiveness of attention transfer for vision transformers.

Model Fusion via Retrofitting On the surprising effectiveness of attention transfer for vision transformers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.449594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2ec5dd5-6b4c-4e3f-ab27-c86b6c85a55a · outbound

This paper cites Least squares quantization in pcm.

Model Fusion via Retrofitting Least squares quantization in pcm

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.441243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd6e6731-d08c-45ab-93e5-2413ac34008c · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Model Fusion via Retrofitting Communication-efficient learning of deep networks from decentralized data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.244439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802c77f8-cca9-4ab5-8c9b-027e9d0ee234 · outbound

This paper cites Vit-cifar.

Model Fusion via Retrofitting Vit-cifar

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.427706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7df4e7b-8cb1-48c0-b5f4-1f4ffff6b069 · outbound

This paper cites Compute trends across three eras of machine learning.

Model Fusion via Retrofitting Compute trends across three eras of machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.419349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0205c9d7-36a6-4e3d-aa9e-b0c50bd0cb9c · outbound

This paper cites Learning important features through propagating activation differences.

Model Fusion via Retrofitting Learning important features through propagating activation differences

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.251696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5459476a-5ff6-47b8-a424-b7e1edae9ee2 · outbound

This paper cites Model fusion via optimal transport.

Model Fusion via Retrofitting Model fusion via optimal transport

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.406564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c7625bcf-85a5-41f0-86d2-8cd18dd50912 · outbound

This paper cites Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions.

Model Fusion via Retrofitting Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.256519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc5af03-e447-411c-a47e-55edb92e2ebe · outbound

This paper cites Axiomatic attribution for deep networks.

Model Fusion via Retrofitting Axiomatic attribution for deep networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.259054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f466638-3841-4c9e-be82-a45e356d1bdc · outbound

This paper cites Attention is all you need.

Model Fusion via Retrofitting Attention is all you need

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.261390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92138dfc-2505-44b2-b6b2-16163a9ad9b4 · outbound

This paper cites Federated Learning with Matched Averaging.

Model Fusion via Retrofitting Federated Learning with Matched Averaging

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:02.264225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b58d4ac-f87e-4405-9c16-76c5ed1ec4aa · outbound

This paper cites Source prompt: Coordinated pre-training of language models on diverse corpora from multiple sources.

Model Fusion via Retrofitting Source prompt: Coordinated pre-training of language models on diverse corpora from multiple sources

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:52:02.387175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 648f74fb-4a33-4e7d-af4c-762d78ff9d44 · inbound

Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation cites this paper.

Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation Model Fusion via Retrofitting

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-29T03:04:34.358098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.