Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:36.247486Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.08070.
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 2026-08-07T05:28:36.247486Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 54d225c3-0208-47f6-937c-df08eb6f557e · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution write newline
Reference 1
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Observation 0dea6366-6840-44e9-b4bb-5df754123b1e · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Food-101 -- mining discriminative components with random forests
Reference 2
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Observation 97864143-ad64-4c0a-8e3e-e105c60e148d · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Language Models are Few-Shot Learners
Reference 3
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Unavailable: canonical work link unavailable.
Observation 7c21fb9c-1dee-47e0-aa1a-5bb15bd06aa2 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Semi-supervised Vision Transformers at Scale
Reference 4
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Observation 896a3b3e-2969-4853-bef4-6ce1b59f5d62 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Reference 5
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Observation 2a000902-7aeb-429d-98f2-67fc12d4e7b3 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Microsoft COCO Captions: Data Collection and Evaluation Server
Reference 6
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Observation e1c64b40-2772-447f-8978-976f0aef6ac0 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Selection via Proxy: Efficient Data Selection for Deep Learning
Reference 7
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Observation 94838d54-eb4f-422c-bf16-644af4ecfa83 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Imagenet: A large-scale hierarchical image database
Reference 8
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Observation 8eb79743-620e-4caf-9897-1a21d46739fb · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution The mnist database of handwritten digit images for machine learning research [best of the web]
Reference 9
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Observation 502f85c5-9721-4ae4-b274-76ce7544c6ac · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 10
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Observation 83cebced-7d28-4a27-8563-c73d755ded49 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
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Observation 1d693031-6c3a-474c-86f3-3e3678e42daf · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Adversarial Active Learning for Deep Networks: a Margin Based Approach
Reference 12
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Observation 1524a0ff-8ad7-4d7a-9a07-1ecbad22fdfe · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
Reference 13
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Observation 3efd6ebc-71bd-43cf-aafd-ded2dbdaf1bf · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Masked Autoencoders Are Scalable Vision Learners
Reference 14
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Observation a918778f-7a78-4e84-b23d-dcc0bd365ab5 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning: Problem Settings and Recent Developments
Reference 15
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Observation 24b2b3c8-75eb-4f1e-b2dc-b897860f7b19 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Submodular combinatorial information measures with applications in machine learning
Reference 16
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Observation 3d42bbf5-7eb5-4242-b89b-d7d79dc5839c · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Grad-match: Gradient matching based data subset selection for efficient deep model training
Reference 17
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Unavailable: canonical work link unavailable.
Observation e501665d-5376-4c65-bac2-45ee7f77f3b3 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Glister: Generalization based data subset selection for efficient and robust learning
Reference 18
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Observation 1601ca78-a8d5-4a04-af69-22b0369b9b47 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Segment Anything
Reference 19
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Observation d8944ae0-730d-4c40-852d-e8a4b2feb9a1 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Reference 20
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Unavailable: canonical work link unavailable.
Observation 14f3e807-7765-4cc8-b159-631d5608e112 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Cifar-10 (canadian institute for advanced research)
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d989deae-a48a-41c4-a516-d440b7fb0fb8 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Cifar-100 (canadian institute for advanced research)
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 261898d4-c821-4893-9997-718d28fede54 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution A Survey on Deep Active Learning: Recent Advances and New Frontiers
Reference 23
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Unavailable: canonical work link unavailable.
Observation 319f357a-1d63-43d6-9d2f-0d6f016e582a · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution BLIP : Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 24
Source-reported events for the cited work
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Observation 2caa8c80-5ec0-456c-9da7-9043e5133b07 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Reference 25
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Observation 30f3828d-bcaf-498e-aaf5-c627d85f714a · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning by Acquiring Contrastive Examples
Reference 26
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Observation a54aed7c-1ae8-4237-880d-8fbfd89e6c6b · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Coresets for data-efficient training of machine learning models
Reference 27
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Observation e910dbe4-22f6-4dc2-b315-bab5487cf1da · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work
Reference 28
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Observation 0c13258c-4067-46b5-b6bf-0baa1d634bd1 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Im2text: Describing images using 1 million captioned photographs
Reference 29
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Observation dfbfd959-17cf-4923-a06a-2a6d44bb7132 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work
Reference 30
Source-reported events for the cited work
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Observation 83c0fa25-6011-4c25-b7e4-9fa30f08a380 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Dataset growth
Reference 31
Source-reported events for the cited work
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Observation 6a654794-8f0a-43c7-8750-5421cb40e8d9 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Learning Transferable Visual Models From Natural Language Supervision
Reference 32
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Observation 96e8c111-6bee-458e-8087-a23424bca0ae · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Unresolved cited work
Reference 33
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Observation ba820f10-0ea4-440e-94c8-9b67323facf8 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 34
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Observation 5aa3b080-e73a-4f30-82bc-75ff97632f9b · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Active Learning for Convolutional Neural Networks: A Core-Set Approach
Reference 36
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Observation c88a639c-6cc9-49c2-9c32-3c76b835d827 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Reference 37
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Observation aa3ccf19-90ad-41f5-b6f5-988b66333bf2 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Small-gan: Speeding up gan training using core-sets
Reference 38
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Observation f7aa379b-84b8-4337-b767-8a5b1dacdb55 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Prediction-Oriented Bayesian Active Learning
Reference 39
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Observation dc0d371b-e316-4021-9887-d56a50fe028f · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Reference 40
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Observation 86cf6642-fa98-41c6-bf54-bbe543fa0c0f · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution An Empirical Study of Example Forgetting during Deep Neural Network Learning
Reference 41
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Observation 7b8044ef-c560-4326-ab3a-a1fd98e0984f · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Reference 42
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Observation 2b2ab992-2f10-44b0-9264-ace91ff6c75b · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Reference 43
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Observation 86422ae2-4d10-4727-b880-b41fae1147b6 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Dataset Quantization
Reference 44
Source-reported events for the cited work
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Observation c3c2698a-7a61-4c6e-add2-091cbbc9ee59 · outbound
Info-Coevolution: An Efficient Framework for Data Model Coevolution Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Reference 45
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.