Paper Citation Record · LEDGER

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI

As of 24 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.14367.

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

pith.paper-citation-record.v1
2506.14367 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:29.447907Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:17.018043Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T23:34:17.906784Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy21
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fabcedb9-b3a3-4675-9cfd-71fea4d407c4 · outbound

This paper cites ArXiv (2018).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI ArXiv (2018)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.219053Z

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 d47f4b41-7164-4487-8d5b-cf34a9b5845e · outbound

This paper cites In: Itthipuripat, S., Ascoli, G.A., Li, A., Pat, N., Kuai, H.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: Itthipuripat, S., Ascoli, G.A., Li, A., Pat, N., Kuai, H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.002244Z

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 f70aee44-09da-4454-99a2-1a9da2f236f9 · outbound

This paper cites The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:26.374746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07a6d2b5-fc9d-4bf9-9d39-12b72f748007 · outbound

This paper cites Nature Scientific Data4, 170117 (2017).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Nature Scientific Data4, 170117 (2017)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.845270Z

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 250a79ed-2a73-45b9-9ae0-8c55bf474ec9 · outbound

This paper cites Frontiers in Neuroinformatics14(2020).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Frontiers in Neuroinformatics14(2020)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.678355Z

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 75f9fdc4-a01c-4f38-8306-26b7325d092a · outbound

This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2009 IEEE Conference on Computer Vision and Pattern Recognition

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:26.824826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77172f3-a41f-4f98-a074-370c61221bd7 · outbound

This paper cites Computers, Materials and Continua70(3), 5005–5019 (2022).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Computers, Materials and Continua70(3), 5005–5019 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.495717Z

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 2cf60b6d-acf0-4a22-9052-37e1ab172519 · outbound

This paper cites Electronics12(3) (2023).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Electronics12(3) (2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.324863Z

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 677fecf4-b2da-4c28-a774-083f23033953 · outbound

This paper cites Neuro-Oncology Advances6(1), vdae118 (2024).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Neuro-Oncology Advances6(1), vdae118 (2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.130481Z

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 757de6fe-678a-41c1-8f1e-294aa9cef06d · outbound

This paper cites an unresolved cited work.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:22:33.969278Z

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 99a3e425-fda6-4d92-9057-d05c99ef3143 · outbound

This paper cites Science Advances6(eaba3884) (2020).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Science Advances6(eaba3884) (2020)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:33.794056Z

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 2efc962d-a04f-4a4c-825d-37703dbf0ede · outbound

This paper cites Dialogues in Clinical Neuroscience 15(4), 445–454 (2013).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Dialogues in Clinical Neuroscience 15(4), 445–454 (2013)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:33.650516Z

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 bad32601-753e-4383-a62c-afd0d1828611 · outbound

This paper cites ArXiv (2014).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI ArXiv (2014)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:33.468072Z

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 e863234d-fdb2-4eec-aaf7-1ee654f5b816 · outbound

This paper cites Multimodal brain tumor classification.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Multimodal brain tumor classification

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T00:22:29.924747Z

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 cdc24ec8-ef86-42ec-b642-c85bfe5d545e · outbound

This paper cites ArXiv (2013).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI ArXiv (2013)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:33.266598Z

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 011c7881-6c06-41f9-9616-684fc5a3650d · outbound

This paper cites IEEE Transactions on Medical Imaging34(10), 1993–2024 (2015).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI IEEE Transactions on Medical Imaging34(10), 1993–2024 (2015)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:33.166493Z

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 8c77cdcc-f11a-418e-8d3f-4460d270b08f · outbound

This paper cites In: 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:32.890392Z

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 0a1d7c73-82d7-430c-9888-4bc157d13667 · outbound

This paper cites Journal of Automation, Mobile Robotics and Intelligent Systems14(1) (2020).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Journal of Automation, Mobile Robotics and Intelligent Systems14(1) (2020)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:32.634909Z

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 e3cc4518-9d2c-4014-b97f-5f10e0977c8a · outbound

This paper cites In: 2022 4th International Conference on Circuits, Control, Communica- tion and Computing (I4C).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2022 4th International Conference on Circuits, Control, Communica- tion and Computing (I4C)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:32.440549Z

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 8eabd312-5078-4831-bc39-4dadcb3661d7 · outbound

This paper cites In: 2022 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2022 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:32.196529Z

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 4cc0245b-7d88-4e98-93f7-88e7acdc96f5 · outbound

This paper cites In: 2017 IEEE International Conference on Computer Vision (ICCV).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2017 IEEE International Conference on Computer Vision (ICCV)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:32.024846Z

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 bb67c2aa-8ee5-4af7-a6ef-c9943a6a86c8 · outbound

This paper cites Measurement: Sensors24, 100506 (2022).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Measurement: Sensors24, 100506 (2022)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:31.781365Z

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 612b9c2c-9e06-4296-87a2-635a40b1803b · outbound

This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: Proceedings of the International Conference on Learning Representations (ICLR)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:31.614820Z

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 0d452354-a4ea-442d-b933-18c1033715e4 · outbound

This paper cites an unresolved cited work.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:22:31.383539Z

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 e1c047b0-deae-43e5-898f-bdf944b44f16 · outbound

This paper cites In: 2019 5th International Conference on Engineering, Applied Sci- ences and Technology (ICEAST).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI In: 2019 5th International Conference on Engineering, Applied Sci- ences and Technology (ICEAST)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:31.184749Z

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 ae85dda4-6460-4280-9850-d84bb130f41e · outbound

This paper cites ArXiv (2018).

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI ArXiv (2018)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:30.833445Z

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 593b862f-6c60-4098-b450-10667b9b5da4 · outbound

This paper cites an unresolved cited work.

DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:22:30.535585Z

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

Observation f48d5b33-1eb7-4cd4-999a-b04baa334a8a · inbound

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network cites this paper.

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network DGG-XNet: A Hybrid Deep Learning Framework for Multi-Class Brain Disease Classification with Explainable AI

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:34:17.963746Z

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.