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Paper Citation Record · LEDGER

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2508.07548.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.07548 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:06:28.302417Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:18:18.246169Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ab05211-3a4d-41ee-94f4-1459f17a2692 · outbound

This paper cites Physics in Medicine & Biology 58(13), R97 (2013).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Physics in Medicine & Biology 58(13), R97 (2013)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 69f03f3a-eca4-46f6-9446-c30de9371145 · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVMI).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVMI)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:31.851736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f96840c3-1ed8-42b8-9e7f-9db5e5a583e0 · outbound

This paper cites In: MICCAI.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: MICCAI

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2b6e31c0-c6bd-44c5-bb5d-c23deec46026 · outbound

This paper cites In: Proceed- ings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: Proceed- ings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:26.966698Z digest=sha256:bf9894edd9bde45f63fc3b364b178dca57a6eabbf82b7489943412c46dad0f09

Observation d8d5782d-0fc7-4e3a-89fc-f3c4616b3930 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:31.803825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.057994Z digest=sha256:4fe34394f67ef1abe8d7d50a9e0b0be1b8f7b6ac6c2f5dce353b474a135a7890

Observation 0740d021-08bd-420d-84f3-a12a987dc430 · outbound

This paper cites In: ISBI (2019).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: ISBI (2019)

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.115847Z digest=sha256:59eb29fa96756d27417e2727534dbfa2419acb872aaa076d8764ca659ac13024

Observation 4c63dbe1-6beb-4f74-bd78-36b55f0c6e1f · outbound

This paper cites In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.205509Z digest=sha256:7b846dfe87468b038bbd2000ed3fa2f1e9b44af3be5b5e275d36d02de85f89ee

Observation 55e96cbc-a1e2-48c6-888c-44ead0a36db7 · outbound

This paper cites In: Guyon, I., Luxburg, U.V ., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: Guyon, I., Luxburg, U.V ., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:31.151865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.342788Z digest=sha256:ba5455f30b77747e0a95b4da4b9f7833a9d740c04fbea72ff33bb812430b595e

Observation e904685a-eeaf-47f9-9ca6-bfa05a2cae92 · outbound

This paper cites In: Workshop on challenges in representation learning, International Conference on Machine Learning.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: Workshop on challenges in representation learning, International Conference on Machine Learning

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.400703Z digest=sha256:71b383202770f937d1dda487384426616eda4c8059dab1abccb3bacee0a71985

Observation bfe22229-ebff-4a41-a47c-2841bd5c7227 · outbound

This paper cites Physics in Medicine & Biology 54(19), R59 (2009).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Physics in Medicine & Biology 54(19), R59 (2009)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:30.741914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e4ab922e-0a4b-4280-b9d7-ce0effa58bc6 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 26(9), 4623–4634 (2022).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning IEEE Journal of Biomedical and Health Informatics 26(9), 4623–4634 (2022)

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.491624Z digest=sha256:db7c8c82dfe1b3b93f7705e1f6871b776bb1b84faf0e226577ef8711ec334c54

Observation 29c83235-e188-4a9b-a8c6-edc549c1f2d1 · outbound

This paper cites Nature medicine 26(6), 900–908 (2020).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Nature medicine 26(6), 900–908 (2020)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:30.239063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.547555Z digest=sha256:aef954adc3a4f2ecd604fc0f9c35643b5072b34a6c3b9997a8dede976feb24fd

Observation f16f4836-905b-44b3-9300-6c4b18100ee5 · outbound

This paper cites IEEE Transactions on Medical Imaging (2023).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning IEEE Transactions on Medical Imaging (2023)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:29.908834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.614664Z digest=sha256:81825381cd84ce9c66092aec89c0f8a3d1d4635fc7e553f950dfdc08208a9491

Observation f288d5a5-241f-4a06-b5c2-278366f235e9 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:29.690661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.669549Z digest=sha256:2081f01c696d86cffe4a22b3f517f79734a4eccc05d7084a35f709ccef411b55

Observation 1bfd658a-5226-4242-a1bc-05776c9f7634 · outbound

This paper cites An Overview of Deep Semi-Supervised Learning.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning An Overview of Deep Semi-Supervised Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T22:06:27.723938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:27.723938Z digest=sha256:3431eb47721fdf7392ff2caa7b2e9c78d382cf890e2b88aced60bd5c6cb9fa29

Observation 9eb2308c-95d2-4c22-a7c2-748b5ef357b5 · outbound

This paper cites Investigative Ophthalmology & Visual Science 50(5), 2004–2010 (2009).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Investigative Ophthalmology & Visual Science 50(5), 2004–2010 (2009)

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.816275Z digest=sha256:e32b4ad17767b28e788cf9f5a95a18e5d395baeb0af0e97ec2d900578e32683e

Observation 808095ad-5c6f-4d53-af84-cf730902ef21 · outbound

This paper cites Yamane et al.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Yamane et al

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.873147Z digest=sha256:12768edca1a89c1a06428c71578bc7c83dae93efef67ad67b21d31c7b863383b

Observation 0d66b889-3f90-458c-94ed-b4ae7df862bf · outbound

This paper cites Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelli- gence and Lecture Notes in Bioinformatics) 9351, 234–241 (2015).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelli- gence and Lecture Notes in Bioinformatics) 9351, 234–241 (2015)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:29.242452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.932359Z digest=sha256:c5dbabfbc004eec512955828a6132b24767ceb0721e0249c6fca56f5c7e2476a

Observation 644bd27b-027d-4f0a-8516-10a6759290a4 · outbound

This paper cites Medical image analysis13(5), 701–714 (2009).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Medical image analysis13(5), 701–714 (2009)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:29.064040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:27.993642Z digest=sha256:c7c47b4a7c99d415bf3b8f4021490184b4ad3edfc25a8a7f4f2f33330bd95b96

Observation bf457b09-6888-4a8b-bd2c-da2e719c240f · outbound

This paper cites IEEE Trans- actions on Medical Imaging 23(4), 501–509 (2004).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning IEEE Trans- actions on Medical Imaging 23(4), 501–509 (2004)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:28.893136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:28.084198Z digest=sha256:44c9179c4b7d463319d22469a44a3241e1b647c3804dbc96fb2e29ce0e5009b7

Observation c849747a-402a-4f72-8d63-f0425ca7b8c2 · outbound

This paper cites Machine learning 109(2), 373–440 (2020).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Machine learning 109(2), 373–440 (2020)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:28.762975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:28.171135Z digest=sha256:9e6cc02053d6e4f46456b813654a87f2b70ac15fe7eeed8799b3eb1bf7052302

Observation 6cd946d1-ccb0-4f2f-bd7a-439ac7368ecd · outbound

This paper cites Annals of the BMV A2013(7), 1–22 (2013).

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning Annals of the BMV A2013(7), 1–22 (2013)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:28.629983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:28.233536Z digest=sha256:d46a84ff9873c37d1fd60ed6ef670365a957f201df44313a09b64c46ccf80c37

Observation cd49b7f4-f1e0-4146-94c6-4f8335d4949c · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:28.459307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T22:06:28.302417Z digest=sha256:1f65538a605a4248b953bc302443c1943d724d4a01c0aa404edc203d94f30ef7

Pith citing papers

Observation 323d92ad-4fd0-46b9-9ea2-4315b6d4a456 · inbound

Quantum-state block texture and its quantification cites this paper.

Quantum-state block texture and its quantification Adaptive Pseudo Label Selection for Individual Unlabeled Data by Positive and Unlabeled Learning

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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