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Paper Citation Record · LEDGER

Diffusion Disambiguation Models for Partial Label Learning

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.

pith.paper-citation-record.v1
2507.00411 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:23:54.659469Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3dc68fd-b65a-4db5-a2a6-678a9ed4d7d0 · outbound

This paper cites Deep learning from noisy image labels with quality embedding,.

Diffusion Disambiguation Models for Partial Label Learning Deep learning from noisy image labels with quality embedding,

Reference 1

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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.

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Observation 78d7aef7-37e2-4723-9cf3-7e96bf636f41 · outbound

This paper cites Learning from partial labels,.

Diffusion Disambiguation Models for Partial Label Learning Learning from partial labels,

Reference 2

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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.

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Observation 63544471-5662-44e0-8f8c-fb7d28b4e376 · outbound

This paper cites Partial label learning with discrimination augmentation,.

Diffusion Disambiguation Models for Partial Label Learning Partial label learning with discrimination augmentation,

Reference 3

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raw_fallback, observed 2026-08-06T21:24:00.608727Z

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.

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Observation 9a913a2d-56ee-41a5-867a-08357eafe1e7 · outbound

This paper cites Optimized graph learning using partial tags and multiple features for image and video annotation,.

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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raw_fallback, observed 2026-08-06T21:24:00.258754Z

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.

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Observation 9c000dca-56e8-4f24-9925-5c65f3157c44 · outbound

This paper cites Pseudo label association and prototype- based invariant learning for semi-supervised nir-vis face recognition,.

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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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.

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Observation dfcb49ea-c6f5-40b1-a71c-3b442df91f52 · outbound

This paper cites Who’s in the picture,.

Diffusion Disambiguation Models for Partial Label Learning Who’s in the picture,

Reference 6

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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.

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Observation b88a2ac1-23f8-4ba8-845f-cd6040a2fb62 · outbound

This paper cites Learning from candidate labeling sets,.

Diffusion Disambiguation Models for Partial Label Learning Learning from candidate labeling sets,

Reference 7

Resolution
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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.

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Observation 4507adfd-af6f-482e-a7e8-f9e9117cbecd · outbound

This paper cites Large margin partial label machine,.

Diffusion Disambiguation Models for Partial Label Learning Large margin partial label machine,

Reference 8

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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.

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Observation 818c64d1-5830-4677-b964-d2609f43af86 · outbound

This paper cites Deep discriminative cnn with temporal ensembling for ambiguously-labeled image classification,.

Diffusion Disambiguation Models for Partial Label Learning Deep discriminative cnn with temporal ensembling for ambiguously-labeled image classification,

Reference 9

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raw_fallback, observed 2026-08-06T21:23:59.316154Z

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.

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Observation 70e4c98a-8839-4c73-be55-a31ef34a41c7 · outbound

This paper cites Network cooperation with pro- gressive disambiguation for partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Network cooperation with pro- gressive disambiguation for partial label learning,

Reference 10

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raw_fallback, observed 2026-08-06T21:23:59.100605Z

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.

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Observation 14f70178-bb75-4592-b826-b414fe1288d5 · outbound

This paper cites Partial label learning based on disambiguation correction net with graph representation,.

Diffusion Disambiguation Models for Partial Label Learning Partial label learning based on disambiguation correction net with graph representation,

Reference 11

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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.

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Observation f6d80546-ae7c-4334-8e10-8dae43f60999 · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion Disambiguation Models for Partial Label Learning Denoising diffusion probabilistic models,

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 42bac88e-3ca7-464d-96c4-5b4ee0b3b864 · outbound

This paper cites Nonlinear regularized reaction-diffusion filters for denoising of images with textures,.

Diffusion Disambiguation Models for Partial Label Learning Nonlinear regularized reaction-diffusion filters for denoising of images with textures,

Reference 13

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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.

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Observation c7595196-785c-46d3-8b37-6271decf5adf · outbound

This paper cites Card: Classification and regression diffusion models,.

Diffusion Disambiguation Models for Partial Label Learning Card: Classification and regression diffusion models,

Reference 14

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verified fuzzy
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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.

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Observation 3d5b64c4-d10e-4cfb-8804-a4baf6d2aca3 · outbound

This paper cites A conditional multinomial mixture model for superset label learning,.

Diffusion Disambiguation Models for Partial Label Learning A conditional multinomial mixture model for superset label learning,

Reference 15

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raw_fallback, observed 2026-08-06T21:23:58.380631Z

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.

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Observation 0c461b60-1fcc-4047-a35f-6ec15202f2f1 · outbound

This paper cites Partial label learning via feature-aware disambiguation,.

Diffusion Disambiguation Models for Partial Label Learning Partial label learning via feature-aware disambiguation,

Reference 16

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verified fuzzy
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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.

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Observation 51233e9e-d63d-4555-8c4a-5faa2af2d83a · outbound

This paper cites A multi-class partial hinge loss for partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning A multi-class partial hinge loss for partial label learning,

Reference 17

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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.

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Observation 3f0d3f72-ccd8-4ab3-ac53-a85bdddea58f · outbound

This paper cites Addressing label ambiguity imbalance in candidate labels: Measures and disambiguation algorithm,.

Diffusion Disambiguation Models for Partial Label Learning Addressing label ambiguity imbalance in candidate labels: Measures and disambiguation algorithm,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:57.914490Z

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.

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Observation 9ddddbc1-3cfe-4c6f-80e0-04c0a29698b8 · outbound

This paper cites Dictionary learning from ambiguously labeled data,.

Diffusion Disambiguation Models for Partial Label Learning Dictionary learning from ambiguously labeled data,

Reference 19

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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.

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Observation b096b788-e925-4593-a939-a269536ccc6a · outbound

This paper cites Partial label learning with competitive learning graph neural network,.

Diffusion Disambiguation Models for Partial Label Learning Partial label learning with competitive learning graph neural network,

Reference 20

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raw_fallback, observed 2026-08-06T21:23:57.485831Z

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.

source=pdf_text observed=2026-08-06T21:23:51.350004Z digest=sha256:7bd1c76be83d0254701da1cf5d2d21c23a9626a31cfe6fdac2daf9f33e57ee9b

Observation 8eee6f97-42d0-4e52-a8c7-937bd5c7c4e9 · outbound

This paper cites Progressive identification of true labels for partial-label learning,.

Diffusion Disambiguation Models for Partial Label Learning Progressive identification of true labels for partial-label learning,

Reference 21

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raw_fallback, observed 2026-08-06T21:23:57.342293Z

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.

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Observation dcf4d96a-5356-49ae-9a50-9313c1556c7b · outbound

This paper cites Leveraged weighted loss for partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Leveraged weighted loss for partial label learning,

Reference 22

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raw_fallback, observed 2026-08-06T21:23:57.193535Z

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.

source=pdf_text observed=2026-08-06T21:23:51.620038Z digest=sha256:e8193a1e4f735ce147180e7e68643b088f77f90b8f1053134fbf8347418af653

Observation 4bad490f-8dba-43ae-8a29-6281adbf4122 · outbound

This paper cites Graphdpi: Partial label disambiguation by graph representation learning via mutual information maximization,.

Diffusion Disambiguation Models for Partial Label Learning Graphdpi: Partial label disambiguation by graph representation learning via mutual information maximization,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:57.058905Z

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.

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Observation f4972a17-8290-4357-baa4-0eddff0d4091 · outbound

This paper cites Pico+: Contrastive label disambiguation for robust partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Pico+: Contrastive label disambiguation for robust partial label learning,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:56.890994Z

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.

source=pdf_text observed=2026-08-06T21:23:52.013484Z digest=sha256:7369f89205cd623cf52981bc64a6152ffa1325f6596cd6dd801795ade588769e

Observation 9efc6c75-b4c4-4fbb-8697-cc9d8d86aa0e · outbound

This paper cites Kmt-pll: K-means cross-attention transformer for partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Kmt-pll: K-means cross-attention transformer for partial label learning,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T21:23:56.734764Z

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.

source=pdf_text observed=2026-08-06T21:23:52.151662Z digest=sha256:6d695664a7d029d085c0d6217eabdd6f0f585db4b22972057d507f775676f17c

Observation 68111ade-5759-46ee-85a4-3df56b3abec6 · outbound

This paper cites Instance-dependent partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Instance-dependent partial label learning,

Reference 26

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raw_fallback, observed 2026-08-06T21:23:56.580052Z

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.

source=pdf_text observed=2026-08-06T21:23:52.316208Z digest=sha256:0f40221a53487ed3e0516c70acba9fe7b0c42d7d5db82e66751780d408e66b07

Observation ed73dab2-ae38-4911-bea4-99b070fbf874 · outbound

This paper cites Variational label enhancement for instance-dependent partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Variational label enhancement for instance-dependent partial label learning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:56.383003Z

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.

source=pdf_text observed=2026-08-06T21:23:52.461446Z digest=sha256:9f747269e4f3c88afec95ec72c4bc8f1a715694bb1ba0c3e318f2a8b71e0f242

Observation 58664e3a-e2ba-45e8-a45b-5caa832cf927 · outbound

This paper cites Ambiguity-induced contrastive learning for instance-dependent partial label learning.

Diffusion Disambiguation Models for Partial Label Learning Ambiguity-induced contrastive learning for instance-dependent partial label learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:56.175655Z

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.

source=pdf_text observed=2026-08-06T21:23:52.666846Z digest=sha256:06f4868fa03b6b8d5f3c05cd56c2b303bad62d382956ca213b00daf35c7b9301

Observation a5129497-87c0-4f67-9314-e8b6e2b54409 · outbound

This paper cites Distilling reliable knowledge for instance-dependent partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Distilling reliable knowledge for instance-dependent partial label learning,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:56.007358Z

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.

source=pdf_text observed=2026-08-06T21:23:52.854905Z digest=sha256:a273ee6f18fbf952f83a07fda914da24047c629fe393aad9edcdf257790ab894

Observation 84b42902-ff31-41e7-aa54-eef05635e5e1 · outbound

This paper cites Dif-fusion: Toward high color fidelity in infrared and visible image fusion with diffusion models,.

Diffusion Disambiguation Models for Partial Label Learning Dif-fusion: Toward high color fidelity in infrared and visible image fusion with diffusion models,

Reference 30

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unresolved
no resolver link, observed 2026-08-06T21:23:53.068758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:53.068758Z digest=sha256:2a109427cfd715c6019017406fd2cbcfa34df9f9f662f9a7bd3414800734ce81

Observation 0d679b19-7ebe-4364-ad6d-a2a56a4e7f70 · outbound

This paper cites Auto-Encoding Variational Bayes.

Diffusion Disambiguation Models for Partial Label Learning Auto-Encoding Variational Bayes

Reference 31

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unresolved
no resolver link, observed 2026-08-06T21:23:53.276428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:53.276428Z digest=sha256:add7871561300111dc422dcb27e01aad2627fc92cb18a0b73e2c26b07574fd6d

Observation a32f3711-3029-4d9c-bfe7-5ee79ced60be · outbound

This paper cites Generative adversarial networks,.

Diffusion Disambiguation Models for Partial Label Learning Generative adversarial networks,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:53.389322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:53.389322Z digest=sha256:5efa6cee1c7977fa0ba9f456e6d3f5e7c2c44401f060965ff74b6bfeccac30fb

Observation e8f05574-b1f9-4ad6-8053-57d4f18d83f9 · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion Disambiguation Models for Partial Label Learning Denoising Diffusion Implicit Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:53.452979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:53.452979Z digest=sha256:e3493d13c1e52a84f0fd18fb61114d3e9b2dc6782f74ae8f200a8a910170c735

Observation a00689c4-7832-48db-a868-f4bde928b073 · outbound

This paper cites Label-retrieval-augmented diffusion models for learning from noisy labels,.

Diffusion Disambiguation Models for Partial Label Learning Label-retrieval-augmented diffusion models for learning from noisy labels,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:55.834261Z

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.

source=pdf_text observed=2026-08-06T21:23:53.535654Z digest=sha256:49e7aec7ebbeb0f7269a10edef4e2b0ac471a0727d3cad663ce10c778564233f

Observation 73b51962-bfa1-48fc-ace0-e6f3b145afdd · outbound

This paper cites DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents.

Diffusion Disambiguation Models for Partial Label Learning DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Reference 35

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unresolved
no resolver link, observed 2026-08-06T21:23:53.632174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:53.632174Z digest=sha256:56af0ef24ac1ac837447aefaf3f3e10e3badd5e41447cbf3ffb389ff9295de3d

Observation 1107f0a3-bae7-407d-b02c-3253c3f6c0fb · outbound

This paper cites Rank-loss support instance machines for miml instance annotation,.

Diffusion Disambiguation Models for Partial Label Learning Rank-loss support instance machines for miml instance annotation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:55.658491Z

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.

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Observation 0900c96e-3b9f-4d68-b418-a9abfd91fbc4 · outbound

This paper cites Learning by associating ambiguously labeled images,.

Diffusion Disambiguation Models for Partial Label Learning Learning by associating ambiguously labeled images,

Reference 37

Resolution
verified fuzzy
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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.

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Observation 893ee0f5-b9da-48b0-84a0-050fb156a832 · outbound

This paper cites Multiple instance metric learning from automatically labeled bags of faces,.

Diffusion Disambiguation Models for Partial Label Learning Multiple instance metric learning from automatically labeled bags of faces,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:55.320549Z

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.

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Observation c70df77e-927d-4109-949d-aa67aebd9c17 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Diffusion Disambiguation Models for Partial Label Learning Gradient-based learning applied to document recognition,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:53.945003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2f6472e0-dda9-45c4-a8f1-ae84d878767c · outbound

This paper cites Deep Learning for Classical Japanese Literature.

Diffusion Disambiguation Models for Partial Label Learning Deep Learning for Classical Japanese Literature

Reference 40

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e5866dec-a2f3-4c24-b140-b745006ccb25 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Diffusion Disambiguation Models for Partial Label Learning Learning multiple layers of features from tiny images,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:54.113419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:54.113419Z digest=sha256:e03a4f4a9cdcb08f40d25d886b9a470f45be88a80adf4c155465d896a1a3bc1f

Observation f05eb56d-bf31-47d0-a0bb-7f1007ec70ce · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Diffusion Disambiguation Models for Partial Label Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:54.238269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:54.238269Z digest=sha256:ea8ca0d7735a7015c0fbb8fab3fbb9fe5c36f7dc1cb5d6170f35301e3eed062c

Observation 84767bd2-bb74-4f94-bfe1-62fce00d76b1 · outbound

This paper cites Exploiting class activation value for partial-label learning,.

Diffusion Disambiguation Models for Partial Label Learning Exploiting class activation value for partial-label learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:55.160383Z

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.

source=pdf_text observed=2026-08-06T21:23:54.296452Z digest=sha256:144a10b96372faceb1314248fde1ca28442e212fff60df950a3668fd2b39d0cf

Observation bdb9652d-723e-469e-a326-f9868ad70602 · outbound

This paper cites Revisiting consistency reg- ularization for deep partial label learning,.

Diffusion Disambiguation Models for Partial Label Learning Revisiting consistency reg- ularization for deep partial label learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:55.008131Z

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.

source=pdf_text observed=2026-08-06T21:23:54.362480Z digest=sha256:bb75e3475747f26b64d0a0076dd4cf2bc88a87e73be5a5f9c858be2be9542115

Observation 27a6fe3d-70ba-44ce-9521-e65a3bf60d49 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Diffusion Disambiguation Models for Partial Label Learning A simple framework for contrastive learning of visual representations,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:54.467517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:54.467517Z digest=sha256:63762b5f2a24b066ad10ccb7bc39d6f6d2ebd51dacacb05d729bd5c4d3c0efd4

Observation 81379066-b9c7-40f1-9ea4-35c3c2ae70c7 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Diffusion Disambiguation Models for Partial Label Learning Learning transferable visual models from natural language supervision,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:54.538469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:54.538469Z digest=sha256:f03e895fc34e260934e33bf5b8260914fdb43a401cfdd0946cb74bebc18838c8

Observation 3c56c3a7-409b-47da-91ea-f085b1ac626b · outbound

This paper cites Using pre-training can improve model robustness and uncertainty,.

Diffusion Disambiguation Models for Partial Label Learning Using pre-training can improve model robustness and uncertainty,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:23:54.870240Z

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.

source=pdf_text observed=2026-08-06T21:23:54.596962Z digest=sha256:a582d27ef3a79d74078fb487bfc1f7b601ac6200d2d18aaa5cebc4219a5317b4

Observation e8a95152-9337-47ec-b03a-5f8e1857c6a8 · outbound

This paper cites On calibration of modern neural networks,.

Diffusion Disambiguation Models for Partial Label Learning On calibration of modern neural networks,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:54.659469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:54.659469Z digest=sha256:3e26852f32647865e9220c96c42f14525108dc6fd1f71e36b2d899f8b4f933ae

Pith citing papers

No inbound Pith citation observations are available.