Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:50:06.426488Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2502.07721.
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 2026-08-08T11:50:06.426488Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a9c05f2b-69a6-4154-895c-ed44329ac889 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Imagenet classification with deep convolutional neural networks,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43a26c74-8950-4ac0-afca-da2bc2f23b07 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Deep residual learning for image recognition,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7176360-ca84-43f6-9606-b8c5755ec3d6 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6aab5677-5285-4f9c-b5ab-ac920faa6a15 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 40dd1717-50ce-4c69-a18c-815ee9843b73 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Classification in the presence of label noise: a survey,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8b001dc8-5ec3-459b-acf6-207481d05d37 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d05f8349-1fc0-49db-a81f-d6b115f5c882 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Un- derstanding deep learning (still) requires rethinking generalization,
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4fb74bcb-4c6f-4d36-af8a-96edda39410c · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Image classification with noisy labels: a comprehensive survey,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 64e73b8a-d23e-4cef-ba0e-86611ea1d121 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning A closer look at memorization in deep networks,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6767b92d-3c98-422e-ac75-20a9e19dfdc4 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Gender shades: Intersectional accuracy disparities in commercial gender classification,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b8dbf84c-1a63-4e90-a2c5-c59f0b137342 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Explaining and harnessing adversarial examples,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b73b9e76-bdca-4af6-b180-3fa893f8446a · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Intriguing properties of neural networks,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c1abee93-5af7-4293-a433-a1c5b0724854 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Robust loss functions under label noise for deep neural networks,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e8e685b6-234f-4373-9363-9538d38e27d2 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Using pre- training can improve model robustness and uncertainty,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f172e57-04e8-4770-ae97-2ebb0ee8c855 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Making deep neural networks robust to label noise: A loss correction approach,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1aac5e48-7f60-4426-a5bb-a42652224cc8 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Mentornet: Learning data-driven curriculum for very deep neural networks on corrupted labels,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 972ad0c8-3d8e-4884-804c-a6d30796cd87 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Co-teaching: Robust training of deep neural networks with extremely noisy labels,
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d1db9936-d1ff-4235-aa37-f9e03926c9ea · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Training deep neural networks on noisy labels with bootstrap- ping,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d536629d-6ae1-4600-826e-0128eae49eeb · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Joint optimization framework for learning with noisy labels,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation df71f282-cc37-41ea-94bb-1b40162d22ec · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Learning to reweight ex- amples for robust deep learning,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation af22039d-d7e7-4bf6-9659-be0e454d5d51 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Learning to learn from noisy labeled data,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 048f282b-0742-4057-af5b-e68d82f4246a · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning How does disagreement help generalization against label corruption?
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 76e115c7-5112-400e-b032-0dbfe3ef91d4 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Robust estimation of a location parameter,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bd301f78-d962-4ec2-a19f-a6c32a01c6a0 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Generalized cross entropy loss for training deep neural networks with noisy labels,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5288162a-4577-4efb-86fd-96eda8096ea1 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Northcutt, T
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cc38692a-8b31-4ec9-927c-e80e43c12890 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Early-learning regularization prevents memorization of noisy labels,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9ab46fed-9ddc-4912-8111-a3ee9eeb0194 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Unsupervised label noise modeling and loss correction,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7e566e2a-5d9d-4bcf-9272-ef8997355a9c · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Temporal Ensembling for Semi-Supervised Learning
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11b35cb9-2d74-4bde-8a55-e0a2e7797005 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Virtual adversarial training: a regularization method for supervised and semi-supervised learning,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 726eed57-9ef2-404d-8225-5293c1762afb · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Iterative learning with open-set noisy labels,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa05a69b-43d5-4060-ada6-1ab6cd0531a1 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Settles, Active learning literature survey
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eabb37cc-b670-44e4-bbde-26853983468f · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Dividemix: Learning with noisy labels as semi-supervised learning,
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b43befa8-3845-4572-8e96-7cbf360375fe · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Probabilistic end-to-end noise correction for learn- ing with noisy labels,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ad819c95-7a10-4c4c-a927-7c8a1c1a6f43 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Error-bounded correction of noisy labels,
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 645c1dd1-1564-4b5b-bdd8-67d964a4a666 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Topological structural relation learning for zero-shot and few-shot image classification under label noise,
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59c06a21-c766-4218-a826-a231cfee736d · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Noise detection and label correction via likelihood estimation for medical image classification,
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04854676-7c87-4875-a565-2da8c1612dc8 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Classification with noisy labels by importance reweighting,
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c848404-7ed2-4f22-9089-fdff17b1d7c2 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Model-agnostic meta-learning for fast adaptation of deep networks,
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdcf45b6-3fa2-475c-a2a9-6bc8656b984d · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Prototypical networks for few- shot learning,
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 59ce9273-2dac-4217-b2c7-3c2400192104 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Learning to learn by gradient descent by gradient descent,
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d130361-c433-4b2e-b2a7-50e5c34cf8e6 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Meta networks,
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 052f7b61-b11f-47ce-97ba-fe6758f4994b · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning A survey on transfer learning,
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6ad25b71-2589-4e39-9c97-a6167bbddc1d · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Transfer learning for reinforcement learning domains: A survey,
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e7af0a6-8f32-4772-b3ed-4d1d51e1d7a1 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Domain-adversarial training of neural networks,
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0d8fe971-c98a-4d88-9f12-f0ddb424089f · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Long short-term memory,
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ba04f1-d136-4c98-8828-703b95130cdc · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Learning multiple layers of features from tiny images,
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2c7ba2f-a0f7-42d5-a021-2304d92cc470 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Learning from massive noisy labeled data for image classification,
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d880e4cc-237a-4e77-a532-6ff14fd6245b · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning WebVision Database: Visual Learning and Understanding from Web Data
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ccae616-b45b-445e-9d87-1e141ac5e6f2 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Decoupling
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f25c54e2-60ad-461f-a038-208191f679c5 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Imagenet: A large-scale hierarchical image database,
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7dd95853-80b6-48d4-9282-2d7584af1710 · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Adam: A method for stochastic optimization,
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97513210-9c80-497b-bf40-d887a3e3ce2a · outbound
TMLC-Net: Transferable Meta Label Correction for Noisy Label Learning Visualizing data using t-sne,
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
No inbound Pith citation observations are available.