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Paper Citation Record · LEDGER

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.04567.

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

pith.paper-citation-record.v1
2506.04567 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:00.452935Z

measured 27 of 27 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 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

27 of 27 outbound references displayed

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  • verified fuzzy6
  • unresolved17
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  • metadata mismatch1

External citation measurements

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Outbound references

Observation e77c0d03-f1d1-4f6e-a340-132e71f1fe63 · outbound

This paper cites Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging

Reference 3

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Observation 78b2d079-2b3d-4971-aa97-9d6c98d59a30 · outbound

This paper cites Parameter Competition Balancing for Model Merging.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Parameter Competition Balancing for Model Merging

Reference 4

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Observation dd8769fa-f58b-4251-a0f9-3953eb2e1eba · outbound

This paper cites AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization

Reference 5

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Observation 5c64fb1c-8dfa-4403-b17c-428c9109ae55 · outbound

This paper cites Manning, Christopher Potts, and Róbert Csordás.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Manning, Christopher Potts, and Róbert Csordás

Reference 10

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raw_fallback, observed 2026-08-07T10:45:01.196344Z

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.

source=pdf_text observed=2026-08-07T10:45:00.331086Z digest=sha256:73735759a8f52395397714f0c5b95b8babd6ed4273e4040222d61c0e977eb2d1

Observation 7452fd52-fbc0-4ba3-8964-c658931c70a2 · outbound

This paper cites MergeDistill: Merging Pre-trained Language Models using Distillation.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation MergeDistill: Merging Pre-trained Language Models using Distillation

Reference 11

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local_arxiv, observed 2026-08-07T10:45:00.834977Z

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

source=pdf_text observed=2026-08-07T10:45:00.342419Z digest=sha256:87f35bfe0a5f852169622fd0b0c6d65a38776de0d0dd989e768109120500827c

Observation e45a3911-9a0b-451f-aa44-14e8838d26ea · outbound

This paper cites LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging

Reference 12

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local_arxiv, observed 2026-08-07T10:45:00.811767Z

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.

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Observation b76bdcb1-ce35-4c53-b0a8-49897ab7a0b5 · outbound

This paper cites MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation

Reference 17

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Observation 23738adc-91d9-4312-8744-7807ce2b9329 · outbound

This paper cites Joint Flow And Feature Refinement Using Attention For Video Restoration.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Joint Flow And Feature Refinement Using Attention For Video Restoration

Reference 19

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local_arxiv, observed 2026-08-07T10:45:00.721999Z

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Observation 9b6c7c5e-2dc3-4734-95d5-53248d4e92bd · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Reading digits in natural images with unsupervised feature learning

Reference 20

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source=pdf_text observed=2026-08-07T10:45:00.409012Z digest=sha256:0f5638181884084a8b04d15b7bb01e5f2d9e4380882f212f658ce459db5798bd

Observation c0801d17-1c09-4ce7-b28c-777ae14988b0 · outbound

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

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

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Observation 20332a68-e70f-4301-8fcf-ffbdcca866bf · outbound

This paper cites Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs

Reference 22

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Observation 8162d655-b63b-4d4c-a234-5708517df30c · outbound

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

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation The german traffic sign recognition benchmark: a multi-class classification competition

Reference 23

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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.

source=pdf_text observed=2026-08-07T10:45:00.426733Z digest=sha256:8e6082dd74d2265177370e840d070da81db7753d002932bcc710af636ba9565e

Observation a0385fe2-5c90-4fb4-80dd-9621bdab72a7 · outbound

This paper cites CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging

Reference 24

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Observation 9278b738-4526-443f-8d77-e93b58bd9a96 · outbound

This paper cites Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging

Reference 25

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local_arxiv, observed 2026-08-07T10:45:00.592794Z

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

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Observation 5ba99d04-4eaa-4223-bd5f-f6e1e04022ab · outbound

This paper cites A Survey on Post-training of Large Language Models.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation A Survey on Post-training of Large Language Models

Reference 26

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Observation b5f24d57-a811-4d78-a4b9-18607d5d298c · outbound

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

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 28

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source=pdf_text observed=2026-08-07T10:45:00.452935Z digest=sha256:ba64f6204714145fa76993770a9b8cd66a216018923ff01fed477169c3599ea6

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

This paper cites Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning.

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

Reference 1998

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Observation 66689331-6a68-43f8-b64c-d2b7e745405d · outbound

This paper cites Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton

Reference 2009

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

source=pdf_text observed=2026-08-07T10:45:00.366605Z digest=sha256:3f61b6bcc16c5767a5bb4df8bddafbb9b1e10b815ce8400ed00a8af67c8e536e

Observation eb6d8915-423d-4c7a-a0bb-74ff7da0ff66 · outbound

This paper cites doi: 10.1109/ICCVW.2013.77.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation doi: 10.1109/ICCVW.2013.77

Reference 2013

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source=pdf_text observed=2026-08-07T10:45:00.360904Z digest=sha256:7462f7949bd5f68c84d327a32c9cf14657c79fc8b4d90355cce7740f5bca5564

Observation e87122cc-0529-47fa-907b-685bac4f4945 · outbound

This paper cites Denoising diffusion probabilistic models.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Denoising diffusion probabilistic models

Reference 2015

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Observation ac057440-112e-428d-9b3b-b1930371db32 · outbound

This paper cites AdaMerging: Adaptive Model Merging for Multi-Task Learning.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation AdaMerging: Adaptive Model Merging for Multi-Task Learning

Reference 2016

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source=pdf_text observed=2026-08-07T10:45:00.447759Z digest=sha256:2d50d9d7ad3d413dffb0719d4a8edb4edf1bd2983d8f79a976058a4b3441c426

Observation 440806a8-a740-440a-82ee-ef887bc4d064 · outbound

This paper cites Generative adversarial nets.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Generative adversarial nets

Reference 2018

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source=pdf_text observed=2026-08-07T10:45:00.168462Z digest=sha256:9474c2cb6ac8bb94feed95652c8df9b1d35ad2d58cc50b079d4f586aece8582e

Observation 3a78bb67-d9d5-4f48-a795-051c245de6cb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Distilling the Knowledge in a Neural Network

Reference 2019

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Observation b63a4cc0-6f27-437a-871c-9316abbfe70c · outbound

This paper cites MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs

Reference 2022

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Observation 1f30a169-5cc3-4f13-ac4c-d67e9b4b823c · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Averaging Weights Leads to Wider Optima and Better Generalization

Reference 2023

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Observation 861e0bfb-63eb-435c-b0fc-527a670ac9ac · outbound

This paper cites Data-Side Efficiencies for Lightweight Convolutional Neural Networks.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation Data-Side Efficiencies for Lightweight Convolutional Neural Networks

Reference 2024

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source=pdf_text observed=2026-08-07T10:45:00.080095Z digest=sha256:7c2b2813bb004264855910be8a0be197e12a78eda041d08bb7ae6665a99b02cd

Observation daad28df-325a-4f98-8314-e2745557d2e4 · outbound

This paper cites I Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee, et al.

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation I Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee, et al

Reference 2025

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Pith citing papers

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