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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
raw_fallback, observed 2026-08-05T22:06:31.829550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:26.966698Z digest=sha256:4e2c9b4e3f61a1fcd49b967e0d91ecf33a013144ab8a8d1ba669c7fd9499c949

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.057994Z digest=sha256:708fca7bea9719803c666232de6efe90fc838cfd4a470ad3fae0e3ecefdbd7d6

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.115847Z digest=sha256:dcc8b1b9e49f565327f01249005ca95a0cdfede9407b270829dcf270f28dde59

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
raw_fallback, observed 2026-08-05T22:06:31.334814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.205509Z digest=sha256:420b68514c57faf6b77249cd66a35b7f50a1bdd29e87055067b05aef36ebf057

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.342788Z digest=sha256:fd6930c4baf69dc5047c8c7969332c087324f51ca90f67dc0975d98ac7a34284

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
raw_fallback, observed 2026-08-05T22:06:30.933960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.400703Z digest=sha256:8b3f36933107639d8c47b1c1c6b81c62e11fa969c4474c6f9dbcba51486b5b02

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.432224Z digest=sha256:fd321a0e447de2a36525ff7c02ae6cd68ccb7b404a0ac81777c4a745d85b3bad

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
raw_fallback, observed 2026-08-05T22:06:30.470621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.491624Z digest=sha256:8a951d0229a19d600db6afc2ae0d75affed0f534d270c44e2bb465ad44121b71

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.547555Z digest=sha256:53994bb63f097dc0dbb4263654f870a67d885bb0bcc20ca9b93f2dabb4d5be64

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.614664Z digest=sha256:cb7fa05450d41fe705c2b7d4070f028ca67e37d41cdc51bd5ac99f8a03ee1b54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.669549Z digest=sha256:35efb269d820005f2960bc2727c392632ff705c8a44f41da6b6fc5883a06a3d0

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
raw_fallback, observed 2026-08-05T22:06:29.559036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.816275Z digest=sha256:14d4f5ba86b18cf9d5d99afc8ae8cb5948913a2dbb4a982ecbf4c97754b66843

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
verified fuzzy
raw_fallback, observed 2026-08-05T22:06:29.401720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.873147Z digest=sha256:3ac66d42b6403c3adeb4d43327f797f5a8660ea56160617413957440381199e7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.932359Z digest=sha256:9d6852f5c471c25ac3902d31f6730fd6975532d61c221e1f1fc17a7807c5edca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:27.993642Z digest=sha256:62e7ca6c47fbaddbb931b377dd2fe711333da86b437f1de1da45800638a08dc2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:28.084198Z digest=sha256:6858f6130060fd6aa3e75a85f05cf58610a002a26a2089e6eca80c363b85a6d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:28.171135Z digest=sha256:2eccdb79ec6624d2028214536eedb6464f0847e8474a53db082a61dc42b08a51

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:06:28.302417Z digest=sha256:47cb39c1176a4daa779fd8a2e0177197b90179eef821a176f27e00117b116f6f

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
no resolver link, observed 2026-08-01T10:18:18.246169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:18:18.246169Z digest=sha256:a8a1da36aa7c3c30de3b5a3925352361bc0994409246b03ffbc6cb71cf0a9537