Paper Citation Record · LEDGER

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2411.09344.

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

pith.paper-citation-record.v1
2411.09344 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:47:53.030411Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy20
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 510db2da-b25b-44e7-a78f-d053d54e2df2 · outbound

This paper cites In: 2020 Inter- national joint conference on neural networks (IJCNN).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: 2020 Inter- national joint conference on neural networks (IJCNN)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.534119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1c8dac5c-44f8-4dc4-80fa-163b0963e591 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the European conference on computer vision (ECCV)

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.869878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2bab906-d6b5-4250-8dfc-4bb80d954735 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.876015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a5b582-f732-4b1d-ae2e-6e688d829b97 · outbound

This paper cites an unresolved cited work.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.882389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a86293b-133f-4799-9e1c-f6acb51a8e87 · outbound

This paper cites Semi-supervised semantic segmentation needs strong, varied perturbations.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing Semi-supervised semantic segmentation needs strong, varied perturbations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.887608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 791bf7a5-0401-4e19-8d17-3b36326b4377 · outbound

This paper cites an unresolved cited work.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T20:47:53.481981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1594d310-09a0-457e-b829-4bd2f900ef12 · outbound

This paper cites IEEE Transactions on Instrumentation and Measurement 69(11), 9028–9036 (2020) Title Suppressed Due to Excessive Length 13.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE Transactions on Instrumentation and Measurement 69(11), 9028–9036 (2020) Title Suppressed Due to Excessive Length 13

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.463781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4211117f-d063-4925-8ddb-350a3bf366e7 · outbound

This paper cites IEEE geoscience and remote sensing magazine10(1), 334–337 (2022).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE geoscience and remote sensing magazine10(1), 334–337 (2022)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.445657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d089234-bfc0-4c45-980c-abe9c3b2ce09 · outbound

This paper cites an unresolved cited work.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.910385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2065c087-8d76-468b-9659-f91f9a8b07fe · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.415813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 217f5850-6112-41ee-974e-7a7b80ed7d7e · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing61, 1–16 (2023).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE Transactions on Geoscience and Remote Sensing61, 1–16 (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.397478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac1aba7a-3013-4e75-aff7-fd824f6ee76a · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.925542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4708167-268a-434c-aa3e-59fbf7fec52d · outbound

This paper cites International Journal of Geographical Information Science31(8), 1675–1696 (2017).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing International Journal of Geographical Information Science31(8), 1675–1696 (2017)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.369589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 778f6954-aab6-4dee-aa4c-dc7bb713cbc8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.353363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3161c270-e2cc-46f3-a660-e535f8416ace · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:52.942334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0b3be0-46ad-4b56-ae7d-b368d1acfdea · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2023).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE Transactions on Geoscience and Remote Sensing (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.322829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 777545f0-7a02-4190-96d9-33a69db92a65 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 60, 1–16 (2022).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE Transactions on Geoscience and Remote Sensing 60, 1–16 (2022)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.304447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 395751a5-b684-4455-a092-8b7755f01a4c · outbound

This paper cites In: 2018 IEEE international conference on robotics and automation (ICRA).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: 2018 IEEE international conference on robotics and automation (ICRA)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.287342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 673a06d0-d5a6-4308-ba9c-ee6dbd2f227d · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.269832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 67e79ea4-1bf5-44f8-9fbc-3c8be8ad4138 · outbound

This paper cites International Journal of Remote Sensing40(14), 5475–5496 (2019).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing International Journal of Remote Sensing40(14), 5475–5496 (2019)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.252789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff741713-4515-45c2-a714-8920b88e17a9 · outbound

This paper cites In: 2022 19th Conference on Robots and Vision (CRV).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: 2022 19th Conference on Robots and Vision (CRV)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.234133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4228dc13-9e82-45b0-a740-fe5da34b2b1b · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.217549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74b826c6-db0c-4740-96bb-c216421aead5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.201245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc855e94-d73e-4e70-b24a-bd4ba5b20043 · outbound

This paper cites Sensors24(3), 730 (2024).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing Sensors24(3), 730 (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.185039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f90eed84-8849-4349-b9a1-4a0d1a58d1ee · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.168028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8fc0eff-4211-46d8-b035-30383f91ed73 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:53.003023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13caec4c-e644-442c-8ef4-07e2af3d382f · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:53.008274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21677399-170c-4346-b208-9d13ace51a15 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T20:47:53.014857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce1b8f4-ad73-4859-8435-cc712b21037b · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2023).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE Transactions on Geoscience and Remote Sensing (2023)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.121673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 508a88c8-540c-4c99-ab5e-26961ce9b5d3 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing In: Pro- ceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.104460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f8f0a2c-7f2a-4683-9eee-4bd8e340e899 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence46(3), 1589–1602 (2021).

Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing IEEE transactions on pattern analysis and machine intelligence46(3), 1589–1602 (2021)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:47:53.087615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.