Paper Citation Record · LEDGER

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.11219.

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

pith.paper-citation-record.v1
2509.11219 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:57:32.083807Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe7d8193-4d4f-4208-8335-c6f807f101a9 · outbound

This paper cites Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I 21, Springer.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part I 21, Springer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.900109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91fc19fe-97a5-4d4a-b457-e97da6b4e965 · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.922741Z

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Observation 495df57c-b2f3-4a7e-affd-7476c7ef37b5 · outbound

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

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.935126Z

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Observation c976d5a1-c1ac-49c9-9065-93511c3203b6 · outbound

This paper cites Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.950724Z

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Observation a1547558-50a7-4115-9d90-ee2b0b46961a · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.955836Z

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Observation 67c1a4a6-9e0b-4bae-95ef-b8130e7bbc2d · outbound

This paper cites In Defense of the Triplet Loss for Person Re-Identification.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning In Defense of the Triplet Loss for Person Re-Identification

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.960543Z

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Observation b515f31e-9836-4f6c-835f-0c248129ca94 · outbound

This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.978755Z

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Observation 23734425-6294-4174-aee8-a6ee5d0ceb65 · outbound

This paper cites A Simple Neural Attentive Meta-Learner.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning A Simple Neural Attentive Meta-Learner

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.991869Z

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Unavailable: canonical work link unavailable.

Observation a6b3f165-04da-47f8-a36f-26d1f43f9e82 · outbound

This paper cites Adding Gradient Noise Improves Learning for Very Deep Networks.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Adding Gradient Noise Improves Learning for Very Deep Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.999833Z

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Observation 12b11adc-52d1-47cf-a50e-3ba3e1050ce2 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning On First-Order Meta-Learning Algorithms

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.006070Z

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Unavailable: canonical work link unavailable.

Observation 70bef7c8-baa7-4d7e-b098-7cf3b30caf0c · outbound

This paper cites (accessed: 15.01.2023).

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning (accessed: 15.01.2023)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.017429Z

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Observation ec8988be-7636-4f16-8a45-cb20cd80fe88 · outbound

This paper cites BOIL: Towards Representation Change for Few-shot Learning.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning BOIL: Towards Representation Change for Few-shot Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.023770Z

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Observation d00ccf63-19ce-4e10-9c43-87c640d1b004 · outbound

This paper cites Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.032744Z

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Observation 48ff7686-35a4-4e75-b2ad-28abaf4c14fa · outbound

This paper cites Meta-Learning with Latent Embedding Optimization.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Meta-Learning with Latent Embedding Optimization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.038317Z

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Observation 543f7de6-86ca-40b9-a17e-be0ed7ac7a33 · outbound

This paper cites Cooperative Meta-Learning with Gradient Augmentation.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Cooperative Meta-Learning with Gradient Augmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.044198Z

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Observation ab217151-cf99-497f-a695-6a29e712ce45 · outbound

This paper cites The journal of machine learning research 15, 1929–1958.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning The journal of machine learning research 15, 1929–1958

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.050238Z

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Observation 18d1d356-60ab-4694-b727-705b27480ca0 · outbound

This paper cites Negative Inner-Loop Learning Rates Learn Universal Features.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Negative Inner-Loop Learning Rates Learn Universal Features

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.055874Z

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Observation dd6d0169-24be-4afa-bfa6-5b3d7d028131 · outbound

This paper cites Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.066879Z

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Unavailable: canonical work link unavailable.

Observation 46b652ce-98a3-4d48-9fb6-be4610730c52 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning mixup: Beyond Empirical Risk Minimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.083807Z

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Observation e830f765-e53c-4b07-ae57-a686c804ecfe · outbound

This paper cites Using a cnn-lstm for basic behaviors detection of a single dairy cow in a complex environment.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Using a cnn-lstm for basic behaviors detection of a single dairy cow in a complex environment

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.078757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1b4671-16f4-477d-af85-47dbf60e1839 · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.011905Z

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Unavailable: canonical work link unavailable.

Observation ce2c6714-3d03-4462-8b00-a23d1f0c6f95 · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:32.072700Z

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Observation bcc91231-742c-43e3-a86b-76efc301442d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Adam: A Method for Stochastic Optimization

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.884031Z

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Observation d6ce1a29-438b-4a22-af35-c6c8f4eebdd1 · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.966046Z

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Observation 9976e990-d7d2-4e28-970d-66296b93d8eb · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Improved Regularization of Convolutional Neural Networks with Cutout

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.928983Z

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Unavailable: canonical work link unavailable.

Observation bcf2b6c1-feaf-433e-9fee-c36f2c2d87a9 · outbound

This paper cites How to train your MAML.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning How to train your MAML

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.892128Z

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Observation 136b3709-e02e-400f-a14a-91e46d5e1d61 · outbound

This paper cites A Theoretical Analysis of the Number of Shots in Few-Shot Learning.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning A Theoretical Analysis of the Number of Shots in Few-Shot Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.912755Z

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Observation 788be386-c217-43a4-9e1a-1ca7d2236be5 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.906368Z

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Observation e666ca99-7e60-4aa2-9256-418dae342f36 · outbound

This paper cites Exploring the Limits of Large Scale Pre-training.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Exploring the Limits of Large Scale Pre-training

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.876080Z

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Observation b204a4df-a2c8-4bbc-a614-7bd5ff9bfca5 · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.946088Z

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Observation 65ae1f5f-2fe6-4c9b-b971-0524d9152250 · outbound

This paper cites Cattle Identification Using Muzzle Images and Deep Learning Techniques.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Cattle Identification Using Muzzle Images and Deep Learning Techniques

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.973299Z

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Observation 5d4bb140-6578-4c51-b088-c4c24283eeef · outbound

This paper cites an unresolved cited work.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.984834Z

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Observation b58dfc87-749a-49b2-b772-11d8cafc530d · outbound

This paper cites IEEE Transactions on AgriFood Electronics , 1–12doi:10.1109/TAFE.2025.3574708.

CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning IEEE Transactions on AgriFood Electronics , 1–12doi:10.1109/TAFE.2025.3574708

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T16:57:31.940542Z

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Pith citing papers

No inbound Pith citation observations are available.