Paper Citation Record · LEDGER

Cepstrum-Based Texture Features for Melanoma Detection

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.00669.

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

pith.paper-citation-record.v1
2509.00669 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:09.270430Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy15
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a58e74b9-7d0a-448b-ae17-9026d4ca286a · outbound

This paper cites The Quefrency Alanysis [sic] of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross-Cepstrum and Saphe Cracking,.

Cepstrum-Based Texture Features for Melanoma Detection The Quefrency Alanysis [sic] of Time Series for Echoes: Cepstrum, Pseudo Autocovariance, Cross-Cepstrum and Saphe Cracking,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.895106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3eadb73b-3296-4d60-a66e-26dd11c2dcfb · outbound

This paper cites Nonlinear filtering of multiplied and convolved signals,.

Cepstrum-Based Texture Features for Melanoma Detection Nonlinear filtering of multiplied and convolved signals,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.884834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b72183b4-c53e-4779-988d-7f2902a2b1dc · outbound

This paper cites Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN,.

Cepstrum-Based Texture Features for Melanoma Detection Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.875157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b16019b-c98b-4518-9975-fd188c1daf77 · outbound

This paper cites Textural Features for Image Classification,.

Cepstrum-Based Texture Features for Melanoma Detection Textural Features for Image Classification,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.866090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15dfeb44-1c2b-47db-84bc-fe708f7654f5 · outbound

This paper cites Deep learning and handcrafted method fusion: Higher diagnostic accuracy for melanoma dermoscopy images,.

Cepstrum-Based Texture Features for Melanoma Detection Deep learning and handcrafted method fusion: Higher diagnostic accuracy for melanoma dermoscopy images,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.856428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc64a475-0a41-4237-b484-e5c8b1d9532a · outbound

This paper cites The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.

Cepstrum-Based Texture Features for Melanoma Detection The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.846490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cddea604-caa0-48d3-9224-afe7f68a1bcb · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC).

Cepstrum-Based Texture Features for Melanoma Detection Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:08.051367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b57e078d-74c3-437f-adcc-f3d21c0a6664 · outbound

This paper cites BCN20000: Dermoscopic Lesions in the Wild.

Cepstrum-Based Texture Features for Melanoma Detection BCN20000: Dermoscopic Lesions in the Wild

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:08.133622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cfaca09-fb02-42c8-803b-cb1771eccb94 · outbound

This paper cites Deep Learning Techniques for Image Segmentation in Dermoscopic Skin Cancer Images,.

Cepstrum-Based Texture Features for Melanoma Detection Deep Learning Techniques for Image Segmentation in Dermoscopic Skin Cancer Images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.836350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3963b35-e5fa-4ac5-9eb3-47b30131caee · outbound

This paper cites Grey Level Co-Occurrence Matrices: Generalisation and Some New Features,.

Cepstrum-Based Texture Features for Melanoma Detection Grey Level Co-Occurrence Matrices: Generalisation and Some New Features,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.826262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8a5ccbb-546b-4216-888e-be4eee944f5d · outbound

This paper cites Mahotas: Open source software for scriptable computer vision,.

Cepstrum-Based Texture Features for Melanoma Detection Mahotas: Open source software for scriptable computer vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.638054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f6e8976-4194-4143-9a74-db1ce91b5754 · outbound

This paper cites Implication and Applications of Machine Learning on Biomedical Images,.

Cepstrum-Based Texture Features for Melanoma Detection Implication and Applications of Machine Learning on Biomedical Images,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.442594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6f1ec32-14b1-4b3c-b1fe-0efe71386eba · outbound

This paper cites The Median Split Algorithm for Detection of Critical Melanoma Color Features,.

Cepstrum-Based Texture Features for Melanoma Detection The Median Split Algorithm for Detection of Critical Melanoma Color Features,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.235860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 792bb12c-009e-4831-b80f-e89f7169d861 · outbound

This paper cites Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions,.

Cepstrum-Based Texture Features for Melanoma Detection Automated classification of malignant melanoma based on detection of atypical pigment network in dermoscopy images of skin lesions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:10.043460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0984f8a1-e8e3-463e-9823-aef3c7b2e050 · outbound

This paper cites Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location,.

Cepstrum-Based Texture Features for Melanoma Detection Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:09.809670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ef68a145-ff9f-4812-b3df-8c320094237d · outbound

This paper cites A deep learning approach to detect blood vessels in basal cell carcinoma,.

Cepstrum-Based Texture Features for Melanoma Detection A deep learning approach to detect blood vessels in basal cell carcinoma,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:09.612976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bc8444a-fa58-44b9-a1c6-d094f4a684a2 · outbound

This paper cites Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas,.

Cepstrum-Based Texture Features for Melanoma Detection Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:25:09.459324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.