Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:54.659469Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2507.00411.
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 2026-08-06T21:23:54.659469Z
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
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e3dc68fd-b65a-4db5-a2a6-678a9ed4d7d0 · outbound
Diffusion Disambiguation Models for Partial Label Learning Deep learning from noisy image labels with quality embedding,
Reference 1
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Observation 78d7aef7-37e2-4723-9cf3-7e96bf636f41 · outbound
Diffusion Disambiguation Models for Partial Label Learning Learning from partial labels,
Reference 2
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Observation 63544471-5662-44e0-8f8c-fb7d28b4e376 · outbound
Diffusion Disambiguation Models for Partial Label Learning Partial label learning with discrimination augmentation,
Reference 3
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Observation 9a913a2d-56ee-41a5-867a-08357eafe1e7 · outbound
Diffusion Disambiguation Models for Partial Label Learning Optimized graph learning using partial tags and multiple features for image and video annotation,
Reference 4
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Observation 9c000dca-56e8-4f24-9925-5c65f3157c44 · outbound
Diffusion Disambiguation Models for Partial Label Learning Pseudo label association and prototype- based invariant learning for semi-supervised nir-vis face recognition,
Reference 5
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Observation dfcb49ea-c6f5-40b1-a71c-3b442df91f52 · outbound
Diffusion Disambiguation Models for Partial Label Learning Who’s in the picture,
Reference 6
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Observation b88a2ac1-23f8-4ba8-845f-cd6040a2fb62 · outbound
Diffusion Disambiguation Models for Partial Label Learning Learning from candidate labeling sets,
Reference 7
Source-reported events for the cited work
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Observation 4507adfd-af6f-482e-a7e8-f9e9117cbecd · outbound
Diffusion Disambiguation Models for Partial Label Learning Large margin partial label machine,
Reference 8
Source-reported events for the cited work
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Observation 818c64d1-5830-4677-b964-d2609f43af86 · outbound
Diffusion Disambiguation Models for Partial Label Learning Deep discriminative cnn with temporal ensembling for ambiguously-labeled image classification,
Reference 9
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Observation 70e4c98a-8839-4c73-be55-a31ef34a41c7 · outbound
Diffusion Disambiguation Models for Partial Label Learning Network cooperation with pro- gressive disambiguation for partial label learning,
Reference 10
Source-reported events for the cited work
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Observation 14f70178-bb75-4592-b826-b414fe1288d5 · outbound
Diffusion Disambiguation Models for Partial Label Learning Partial label learning based on disambiguation correction net with graph representation,
Reference 11
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Observation f6d80546-ae7c-4334-8e10-8dae43f60999 · outbound
Diffusion Disambiguation Models for Partial Label Learning Denoising diffusion probabilistic models,
Reference 12
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Observation 42bac88e-3ca7-464d-96c4-5b4ee0b3b864 · outbound
Diffusion Disambiguation Models for Partial Label Learning Nonlinear regularized reaction-diffusion filters for denoising of images with textures,
Reference 13
Source-reported events for the cited work
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Observation c7595196-785c-46d3-8b37-6271decf5adf · outbound
Diffusion Disambiguation Models for Partial Label Learning Card: Classification and regression diffusion models,
Reference 14
Source-reported events for the cited work
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Observation 3d5b64c4-d10e-4cfb-8804-a4baf6d2aca3 · outbound
Diffusion Disambiguation Models for Partial Label Learning A conditional multinomial mixture model for superset label learning,
Reference 15
Source-reported events for the cited work
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Observation 0c461b60-1fcc-4047-a35f-6ec15202f2f1 · outbound
Diffusion Disambiguation Models for Partial Label Learning Partial label learning via feature-aware disambiguation,
Reference 16
Source-reported events for the cited work
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Observation 51233e9e-d63d-4555-8c4a-5faa2af2d83a · outbound
Diffusion Disambiguation Models for Partial Label Learning A multi-class partial hinge loss for partial label learning,
Reference 17
Source-reported events for the cited work
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Observation 3f0d3f72-ccd8-4ab3-ac53-a85bdddea58f · outbound
Diffusion Disambiguation Models for Partial Label Learning Addressing label ambiguity imbalance in candidate labels: Measures and disambiguation algorithm,
Reference 18
Source-reported events for the cited work
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Observation 9ddddbc1-3cfe-4c6f-80e0-04c0a29698b8 · outbound
Diffusion Disambiguation Models for Partial Label Learning Dictionary learning from ambiguously labeled data,
Reference 19
Source-reported events for the cited work
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Observation b096b788-e925-4593-a939-a269536ccc6a · outbound
Diffusion Disambiguation Models for Partial Label Learning Partial label learning with competitive learning graph neural network,
Reference 20
Source-reported events for the cited work
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Observation 8eee6f97-42d0-4e52-a8c7-937bd5c7c4e9 · outbound
Diffusion Disambiguation Models for Partial Label Learning Progressive identification of true labels for partial-label learning,
Reference 21
Source-reported events for the cited work
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Observation dcf4d96a-5356-49ae-9a50-9313c1556c7b · outbound
Diffusion Disambiguation Models for Partial Label Learning Leveraged weighted loss for partial label learning,
Reference 22
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Observation 4bad490f-8dba-43ae-8a29-6281adbf4122 · outbound
Diffusion Disambiguation Models for Partial Label Learning Graphdpi: Partial label disambiguation by graph representation learning via mutual information maximization,
Reference 23
Source-reported events for the cited work
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Observation f4972a17-8290-4357-baa4-0eddff0d4091 · outbound
Diffusion Disambiguation Models for Partial Label Learning Pico+: Contrastive label disambiguation for robust partial label learning,
Reference 24
Source-reported events for the cited work
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Observation 9efc6c75-b4c4-4fbb-8697-cc9d8d86aa0e · outbound
Diffusion Disambiguation Models for Partial Label Learning Kmt-pll: K-means cross-attention transformer for partial label learning,
Reference 25
Source-reported events for the cited work
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Observation 68111ade-5759-46ee-85a4-3df56b3abec6 · outbound
Diffusion Disambiguation Models for Partial Label Learning Instance-dependent partial label learning,
Reference 26
Source-reported events for the cited work
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Observation ed73dab2-ae38-4911-bea4-99b070fbf874 · outbound
Diffusion Disambiguation Models for Partial Label Learning Variational label enhancement for instance-dependent partial label learning,
Reference 27
Source-reported events for the cited work
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Observation 58664e3a-e2ba-45e8-a45b-5caa832cf927 · outbound
Diffusion Disambiguation Models for Partial Label Learning Ambiguity-induced contrastive learning for instance-dependent partial label learning
Reference 28
Source-reported events for the cited work
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Observation a5129497-87c0-4f67-9314-e8b6e2b54409 · outbound
Diffusion Disambiguation Models for Partial Label Learning Distilling reliable knowledge for instance-dependent partial label learning,
Reference 29
Source-reported events for the cited work
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Observation 84b42902-ff31-41e7-aa54-eef05635e5e1 · outbound
Diffusion Disambiguation Models for Partial Label Learning Dif-fusion: Toward high color fidelity in infrared and visible image fusion with diffusion models,
Reference 30
Source-reported events for the cited work
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Observation 0d679b19-7ebe-4364-ad6d-a2a56a4e7f70 · outbound
Diffusion Disambiguation Models for Partial Label Learning Auto-Encoding Variational Bayes
Reference 31
Source-reported events for the cited work
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Observation a32f3711-3029-4d9c-bfe7-5ee79ced60be · outbound
Diffusion Disambiguation Models for Partial Label Learning Generative adversarial networks,
Reference 32
Source-reported events for the cited work
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Observation e8f05574-b1f9-4ad6-8053-57d4f18d83f9 · outbound
Diffusion Disambiguation Models for Partial Label Learning Denoising Diffusion Implicit Models
Reference 33
Source-reported events for the cited work
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Observation a00689c4-7832-48db-a868-f4bde928b073 · outbound
Diffusion Disambiguation Models for Partial Label Learning Label-retrieval-augmented diffusion models for learning from noisy labels,
Reference 34
Source-reported events for the cited work
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Observation 73b51962-bfa1-48fc-ace0-e6f3b145afdd · outbound
Diffusion Disambiguation Models for Partial Label Learning DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents
Reference 35
Source-reported events for the cited work
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Observation 1107f0a3-bae7-407d-b02c-3253c3f6c0fb · outbound
Diffusion Disambiguation Models for Partial Label Learning Rank-loss support instance machines for miml instance annotation,
Reference 36
Source-reported events for the cited work
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Observation 0900c96e-3b9f-4d68-b418-a9abfd91fbc4 · outbound
Diffusion Disambiguation Models for Partial Label Learning Learning by associating ambiguously labeled images,
Reference 37
Source-reported events for the cited work
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Observation 893ee0f5-b9da-48b0-84a0-050fb156a832 · outbound
Diffusion Disambiguation Models for Partial Label Learning Multiple instance metric learning from automatically labeled bags of faces,
Reference 38
Source-reported events for the cited work
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Observation c70df77e-927d-4109-949d-aa67aebd9c17 · outbound
Diffusion Disambiguation Models for Partial Label Learning Gradient-based learning applied to document recognition,
Reference 39
Source-reported events for the cited work
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Observation 2f6472e0-dda9-45c4-a8f1-ae84d878767c · outbound
Diffusion Disambiguation Models for Partial Label Learning Deep Learning for Classical Japanese Literature
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5866dec-a2f3-4c24-b140-b745006ccb25 · outbound
Diffusion Disambiguation Models for Partial Label Learning Learning multiple layers of features from tiny images,
Reference 41
Source-reported events for the cited work
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Observation f05eb56d-bf31-47d0-a0bb-7f1007ec70ce · outbound
Diffusion Disambiguation Models for Partial Label Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Reference 42
Source-reported events for the cited work
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Observation 84767bd2-bb74-4f94-bfe1-62fce00d76b1 · outbound
Diffusion Disambiguation Models for Partial Label Learning Exploiting class activation value for partial-label learning,
Reference 43
Source-reported events for the cited work
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Observation bdb9652d-723e-469e-a326-f9868ad70602 · outbound
Diffusion Disambiguation Models for Partial Label Learning Revisiting consistency reg- ularization for deep partial label learning,
Reference 44
Source-reported events for the cited work
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Observation 27a6fe3d-70ba-44ce-9521-e65a3bf60d49 · outbound
Diffusion Disambiguation Models for Partial Label Learning A simple framework for contrastive learning of visual representations,
Reference 45
Source-reported events for the cited work
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Observation 81379066-b9c7-40f1-9ea4-35c3c2ae70c7 · outbound
Diffusion Disambiguation Models for Partial Label Learning Learning transferable visual models from natural language supervision,
Reference 46
Source-reported events for the cited work
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Observation 3c56c3a7-409b-47da-91ea-f085b1ac626b · outbound
Diffusion Disambiguation Models for Partial Label Learning Using pre-training can improve model robustness and uncertainty,
Reference 47
Source-reported events for the cited work
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Observation e8a95152-9337-47ec-b03a-5f8e1857c6a8 · outbound
Diffusion Disambiguation Models for Partial Label Learning On calibration of modern neural networks,
Reference 48
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.