Paper Citation Record · LEDGER

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster

As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2511.05567.

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

pith.paper-citation-record.v1
2511.05567 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T00:14:40.605569Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

49 of 49 outbound references displayed

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verified fuzzy0
unresolved49
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malformed identifier0
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External citation measurements

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Outbound references

Observation c330f0eb-c30e-444f-9283-6b0eb6a6129f · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 1

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Observation c92d370c-bc1e-42f7-ad13-095de2c989fa · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 2

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Observation 1a227945-ccc0-48a3-9d82-bf47ebdbd046 · outbound

This paper cites of Advances in Neural Information Processing Systems 25 (NIPS 2012) (2012).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of Advances in Neural Information Processing Systems 25 (NIPS 2012) (2012)

Reference 3

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Observation 485f5522-8bef-49a2-8bed-de439551c964 · outbound

This paper cites of International Conference on Learning Representations (ICLR 2015) (2015).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of International Conference on Learning Representations (ICLR 2015) (2015)

Reference 4

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Observation 8103d24f-21be-4b20-856d-49a78e6945d9 · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 5

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This paper cites of 2016 IEEE Conference on Computer Vision and Patter n Recognition (CVPR), pp.770–778 (2016).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of 2016 IEEE Conference on Computer Vision and Patter n Recognition (CVPR), pp.770–778 (2016)

Reference 6

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Observation a9b7f688-923f-482e-935a-45be62535add · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:37.653981Z

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Observation 13e7eaed-4d3a-40c9-aea5-f0ea641dcea8 · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 8

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Observation 6e38727a-9e74-4cb0-ac50-2b6a53a37907 · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 9

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Observation 0248b017-051a-4162-8673-fb9d3df84fd0 · outbound

This paper cites of the IEEE Conference on Computer Vision and Pattern Recognition (ICCV), pp.3438–3446 (2017).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of the IEEE Conference on Computer Vision and Pattern Recognition (ICCV), pp.3438–3446 (2017)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:37.834593Z

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Observation 34b7ae0d-a420-47ab-8f40-2d7fc1d52607 · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 11

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Observation 56b32799-fa3c-4ac7-a053-eff0c1a7ed4a · outbound

This paper cites RoadTracer: Automatic Extraction of Road Networks from Aerial Images.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster RoadTracer: Automatic Extraction of Road Networks from Aerial Images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:37.969515Z

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Observation c78e8451-7a07-4497-939f-e0c3395bf39f · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 13

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Observation b720d99f-09a8-4a15-8431-dbf8e9887f2a · outbound

This paper cites of 2016 IEEE International Conference on Systems, Man , and Cybernetics (IEEE SMC 2016), pp.1273–1278 (2016).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of 2016 IEEE International Conference on Systems, Man , and Cybernetics (IEEE SMC 2016), pp.1273–1278 (2016)

Reference 14

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Observation c5a55040-4574-4b16-9461-b1496083649a · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 15

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Observation b478b585-130f-4742-989c-8ffad024ca0e · outbound

This paper cites of IEEE TENCON2016, pp.2971–2974 (2016).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of IEEE TENCON2016, pp.2971–2974 (2016)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:38.195467Z

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Observation 792a49d7-835e-40e8-a9ea-0b1ed8823bf2 · outbound

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of IEEE TENCON 2020, pp.1203–1208 (2020)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:38.258693Z

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Observation 5d605432-bd73-4261-b1a4-34297f23925b · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:14:38.337197Z

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Observation 3898225d-addd-4437-84bd-a4b87761fab6 · outbound

This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 19

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Observation 9a9987e0-c302-4da5-b25c-4acd55978054 · outbound

This paper cites Neural Computation, vol.14, pp.1771–1800 (2002).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Neural Computation, vol.14, pp.1771–1800 (2002)

Reference 20

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster 16, 2023 15

Reference 21

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 22

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This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 23

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This paper cites an unresolved cited work.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 24

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Fractional Max-Pooling

Reference 25

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Observation aa653531-1e61-462b-9af1-04c0a61d92da · outbound

This paper cites of the British Machine Vision Conference (BMVC), pp.87.1–87.12 ( 2016).

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of the British Machine Vision Conference (BMVC), pp.87.1–87.12 ( 2016)

Reference 26

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 28

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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This paper cites Hong et.al., More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classiﬁcation , in IEEE Transactions on Geoscience and Remote Sensing, vol.

Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Hong et.al., More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classiﬁcation , in IEEE Transactions on Geoscience and Remote Sensing, vol

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster 34, no.6, pp.2817–2830 (2023)

Reference 35

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

Reference 37

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of the AAAI Conference on Artiﬁcial Intelligence, V ol.34, No.07, pp.10965–10972 (2020)

Reference 39

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of 2020 IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR), pp.8907–8915 (2020)

Reference 40

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Bahri and F

Reference 42

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster of 10th International Conference on Informatics, Electron ics & Vision (ICIEV 2021), No.37 (2021)

Reference 46

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster Unresolved cited work

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Pith citing papers

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