Paper Citation Record · LEDGER

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2411.17543.

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

pith.paper-citation-record.v1
2411.17543 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:04:02.099354Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b551f425-2a2e-460b-95a2-d2c9cbe7e6bd · outbound

This paper cites A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving A convolutional neural network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.317214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e768380-ecfb-444a-801b-3c6708588967 · outbound

This paper cites Comparison of hyperspectral imaging with conventional rgb imaging for quality evaluation of agaricus bisporus mushrooms,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Comparison of hyperspectral imaging with conventional rgb imaging for quality evaluation of agaricus bisporus mushrooms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.302602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6b49dbf-34a8-4aa0-b7cd-fc9a368d5dab · outbound

This paper cites Ro- bust deep learning-based semantic organ segmentation in hyperspectral images,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Ro- bust deep learning-based semantic organ segmentation in hyperspectral images,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.288379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3195eab8-a3ab-488a-9d18-b6bdf41d4abf · outbound

This paper cites Potentials of combined visible light and near infrared imaging for driving automation,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Potentials of combined visible light and near infrared imaging for driving automation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.273857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e57c41f1-5935-4054-8818-8e2d12014906 · outbound

This paper cites On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.258410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ecca668-7e97-46dd-9f14-4f81a10047eb · outbound

This paper cites HSI-Drive v2.0: Expanded Dataset and New Classifica- tion Challenges for Hyperspectral Scene Understanding in Autonomous Driving,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving HSI-Drive v2.0: Expanded Dataset and New Classifica- tion Challenges for Hyperspectral Scene Understanding in Autonomous Driving,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.244133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34ed6b96-2b8e-4066-9dc2-770f42ffa580 · outbound

This paper cites DPUCZDX8G for Zynq UltraScale+ MPSoCs product guide (PG338),.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving DPUCZDX8G for Zynq UltraScale+ MPSoCs product guide (PG338),

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.229254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f58a6f8-9581-4cc4-9a8c-36141b53cf62 · outbound

This paper cites Data- free quantization through weight equalization and bias correction,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Data- free quantization through weight equalization and bias correction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.215057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9139a817-744c-4f2c-a1b6-3a9524eccaae · outbound

This paper cites A White Paper on Neural Network Quantization.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving A White Paper on Neural Network Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:04:02.078013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b58d014-13a1-4a50-8120-5bde41d5f2dd · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.200386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1ddb56a0-03ed-4760-8ce1-b0f43d520b92 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:04:02.086736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7caff462-d959-4dee-a2a2-eb4641e7f699 · outbound

This paper cites Kria K26 SOM: The ideal platform for vision AI at the edge,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Kria K26 SOM: The ideal platform for vision AI at the edge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.176441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 086817db-d7e8-4055-ba7b-ff479cf56cae · outbound

This paper cites Deep learning with int8 optimization on xilinx devices,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Deep learning with int8 optimization on xilinx devices,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:04:02.160998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f8d1d1c-b76d-4cdf-9a19-6fbc2d3b10b5 · outbound

This paper cites Exploring fully convolutional networks for the segmentation of hyperspectral imaging applied to advanced driver assistance systems,.

Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving Exploring fully convolutional networks for the segmentation of hyperspectral imaging applied to advanced driver assistance systems,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T12:04:02.099354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.