Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:57:32.083807Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:57:32.083807Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fe7d8193-4d4f-4208-8335-c6f807f101a9 · outbound
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
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Observation 91fc19fe-97a5-4d4a-b457-e97da6b4e965 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 7
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Observation 495df57c-b2f3-4a7e-affd-7476c7ef37b5 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 9
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Observation c976d5a1-c1ac-49c9-9065-93511c3203b6 · outbound
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
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Observation a1547558-50a7-4115-9d90-ee2b0b46961a · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 13
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Observation 67c1a4a6-9e0b-4bae-95ef-b8130e7bbc2d · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning In Defense of the Triplet Loss for Person Re-Identification
Reference 14
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Observation b515f31e-9836-4f6c-835f-0c248129ca94 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Reference 17
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Unavailable: canonical work link unavailable.
Observation 23734425-6294-4174-aee8-a6ee5d0ceb65 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning A Simple Neural Attentive Meta-Learner
Reference 19
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Observation a6b3f165-04da-47f8-a36f-26d1f43f9e82 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Adding Gradient Noise Improves Learning for Very Deep Networks
Reference 20
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Observation 12b11adc-52d1-47cf-a50e-3ba3e1050ce2 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning On First-Order Meta-Learning Algorithms
Reference 21
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Observation 70bef7c8-baa7-4d7e-b098-7cf3b30caf0c · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning (accessed: 15.01.2023)
Reference 23
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Observation ec8988be-7636-4f16-8a45-cb20cd80fe88 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning BOIL: Towards Representation Change for Few-shot Learning
Reference 24
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Observation d00ccf63-19ce-4e10-9c43-87c640d1b004 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Reference 25
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Unavailable: canonical work link unavailable.
Observation 48ff7686-35a4-4e75-b2ad-28abaf4c14fa · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Meta-Learning with Latent Embedding Optimization
Reference 26
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Observation 543f7de6-86ca-40b9-a17e-be0ed7ac7a33 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Cooperative Meta-Learning with Gradient Augmentation
Reference 27
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Observation ab217151-cf99-497f-a695-6a29e712ce45 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning The journal of machine learning research 15, 1929–1958
Reference 28
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Observation 18d1d356-60ab-4694-b727-705b27480ca0 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Negative Inner-Loop Learning Rates Learn Universal Features
Reference 29
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Observation dd6d0169-24be-4afa-bfa6-5b3d7d028131 · outbound
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
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Observation 46b652ce-98a3-4d48-9fb6-be4610730c52 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning mixup: Beyond Empirical Risk Minimization
Reference 33
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Observation e830f765-e53c-4b07-ae57-a686c804ecfe · outbound
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
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Unavailable: canonical work link unavailable.
Observation ec1b4671-16f4-477d-af85-47dbf60e1839 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 2008
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Observation ce2c6714-3d03-4462-8b00-a23d1f0c6f95 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 2010
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Observation bcc91231-742c-43e3-a86b-76efc301442d · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Adam: A Method for Stochastic Optimization
Reference 2014
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Observation d6ce1a29-438b-4a22-af35-c6c8f4eebdd1 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 2015
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Observation 9976e990-d7d2-4e28-970d-66296b93d8eb · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Improved Regularization of Convolutional Neural Networks with Cutout
Reference 2017
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Observation bcf2b6c1-feaf-433e-9fee-c36f2c2d87a9 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning How to train your MAML
Reference 2018
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Observation 136b3709-e02e-400f-a14a-91e46d5e1d61 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning A Theoretical Analysis of the Number of Shots in Few-Shot Learning
Reference 2019
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Unavailable: canonical work link unavailable.
Observation 788be386-c217-43a4-9e1a-1ca7d2236be5 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning YOLOv4: Optimal Speed and Accuracy of Object Detection
Reference 2020
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Observation e666ca99-7e60-4aa2-9256-418dae342f36 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Exploring the Limits of Large Scale Pre-training
Reference 2021
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Observation b204a4df-a2c8-4bbc-a614-7bd5ff9bfca5 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 2022
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Observation 65ae1f5f-2fe6-4c9b-b971-0524d9152250 · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Cattle Identification Using Muzzle Images and Deep Learning Techniques
Reference 2023
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Observation 5d4bb140-6578-4c51-b088-c4c24283eeef · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning Unresolved cited work
Reference 2024
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Observation b58dfc87-749a-49b2-b772-11d8cafc530d · outbound
CCoMAML: Efficient Cattle Identification Using Cooperative Model-Agnostic Meta-Learning IEEE Transactions on AgriFood Electronics , 1–12doi:10.1109/TAFE.2025.3574708
Reference 2025
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No inbound Pith citation observations are available.