Paper Citation Record · LEDGER

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems

As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.03982.

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

pith.paper-citation-record.v1
2412.03982 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:55:35.153265Z

measured 13 of 13 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy10
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2bc36e58-ca23-4719-8ea3-75086e90e1d7 · outbound

This paper cites In: 2021 IEEE Intelligent Vehicles Symposium (IV).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems In: 2021 IEEE Intelligent Vehicles Symposium (IV)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:35.103915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529766f6-7953-489b-8e81-7ccda2e8d411 · outbound

This paper cites In: Proceedings of the Asian Conference on Computer Vision (2020).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems In: Proceedings of the Asian Conference on Computer Vision (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.397853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9663cf9-6e39-4b27-91f4-d17fc69ee7e8 · outbound

This paper cites Remote Sensing 11(19), 2220 (2019).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems Remote Sensing 11(19), 2220 (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.385335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a386e08-f4fa-48e3-8a73-cca96da3d278 · outbound

This paper cites International journal of remote sensing 34(7), 2327–2349 (2013).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems International journal of remote sensing 34(7), 2327–2349 (2013)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.373643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ecd0f56d-06df-49f4-800c-785ddf95b41b · outbound

This paper cites Water Sa 33(2), 145– 151 (2007).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems Water Sa 33(2), 145– 151 (2007)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.361534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ea3a373-88c2-43c5-9dfe-5f9e14743a3e · outbound

This paper cites Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image.

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T21:55:35.183870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f8ec4a0-0534-4679-a60d-d22f006cb438 · outbound

This paper cites https://pypi.org/project/onnx2keras/ (2021).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems https://pypi.org/project/onnx2keras/ (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.350775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b790cf0-d437-46d8-a08e-0fb89cb54e47 · outbound

This paper cites https://www.photonfocus.com/ products/camerafinder/camera/mv1-d2048x1088-hs02-96-g2.

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems https://www.photonfocus.com/ products/camerafinder/camera/mv1-d2048x1088-hs02-96-g2

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.338784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d492764e-2cec-4b5f-9b09-f54046e8898f · outbound

This paper cites In: International Conference on Medical image computing and computer-assisted intervention.

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems In: International Conference on Medical image computing and computer-assisted intervention

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:55:35.138122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde5b7c1-ac58-4af7-a2c3-f4be52b3ec3c · outbound

This paper cites Remote Sensing 12(2), 207 (2020).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems Remote Sensing 12(2), 207 (2020)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.320320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f557561-117b-49be-b6fd-9bf2cb29dda7 · outbound

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

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems In: Proceedings of the IEEE International Conference on Computer Vision Workshops

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.308206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e090f34-6c54-45db-b4ee-f778ab6ff293 · outbound

This paper cites In: VISIGRAPP (5: VISAPP).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems In: VISIGRAPP (5: VISAPP)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.295727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd444c5b-ce87-4566-8797-b5ee59b92227 · outbound

This paper cites https://www.xilinx.com/html_docs/vitis_ai/1_ 4/quantize.html#uim1570695919827 (2021).

Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems https://www.xilinx.com/html_docs/vitis_ai/1_ 4/quantize.html#uim1570695919827 (2021)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:55:35.284770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.