Pith. sign in

Paper Citation Record · LEDGER

Enhanced Convolutional Neural Networks for Improved Image Classification

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2502.00663.

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

pith.paper-citation-record.v1
2502.00663 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:11:03.923859Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d97c70e-2814-446e-832a-3c8e9a563900 · outbound

This paper cites ”72-3: Deep Learning Based Visual Defect Detection in Noisy and Imbalanced Data.” SID Symposium Digest of Technical Papers , vol.

Enhanced Convolutional Neural Networks for Improved Image Classification ”72-3: Deep Learning Based Visual Defect Detection in Noisy and Imbalanced Data.” SID Symposium Digest of Technical Papers , vol

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.245536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.871346Z digest=sha256:c53be0c899d863e4c4ce17d0b31405d8eb59c11c47b0f43d7ff263c7da3a6e17

Observation 11131368-ee55-4ed4-91be-32ffb4f20169 · outbound

This paper cites an unresolved cited work.

Enhanced Convolutional Neural Networks for Improved Image Classification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T18:11:04.234936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.875261Z digest=sha256:b1294eed411b0d458af62a9450a9b61d58e06163a4ba7f65b45503875cd0c386

Observation 504b3dce-1dfd-410e-a526-f5a59931184c · outbound

This paper cites [online].

Enhanced Convolutional Neural Networks for Improved Image Classification [online]

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.225803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.878766Z digest=sha256:ed9ae7a8acf1dcbea47c5ee82a5088fe74998149b70b99763f4d08dec631ecab

Observation 01f98621-efb5-4514-a3eb-0116e57b69b8 · outbound

This paper cites Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling.

Enhanced Convolutional Neural Networks for Improved Image Classification Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:03.882214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:03.882214Z digest=sha256:d4493c440bf638bea3001ab773fa07328b902724cef27bd5df1736a4853de2ab

Observation 2a05b692-c7a3-475d-a725-0b8f88dadd8e · outbound

This paper cites Graph Attention Networks.

Enhanced Convolutional Neural Networks for Improved Image Classification Graph Attention Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:03.886161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:03.886161Z digest=sha256:55f9d1baf7aa43c783fb4a1801faf03698ef4c91962812db9aae6f4cc0f15e56

Observation ea92a4bf-6156-4545-9891-7d99de67fe77 · outbound

This paper cites ”Inductive repre- sentation learning on large graphs.” Advances in neural information processing systems 30 (2017).

Enhanced Convolutional Neural Networks for Improved Image Classification ”Inductive repre- sentation learning on large graphs.” Advances in neural information processing systems 30 (2017)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.216306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.890126Z digest=sha256:9a602e64bbff2894f1d3720b841ec2e866af196864750879e0bf58e0ff9b1b01

Observation 7052a40c-e529-4387-a258-a4472068ec16 · outbound

This paper cites ”Weighted fuzzy rough sets- based tri-training and its application to medical diagnosis.” Applied Soft Computing 124 (2022): 109025.

Enhanced Convolutional Neural Networks for Improved Image Classification ”Weighted fuzzy rough sets- based tri-training and its application to medical diagnosis.” Applied Soft Computing 124 (2022): 109025

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.206212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.894663Z digest=sha256:20d756bb81572fd12b809cba9f8a88e127af6d4b94bd175117e18e7baed15e06

Observation f72cd67c-7672-45d4-b1ef-f695f56c8d23 · outbound

This paper cites ”Parameterized maximum-entropy-based three-way approximate attribute reduction.” International Journal of Approximate Reasoning 151 (2022): 85-100.

Enhanced Convolutional Neural Networks for Improved Image Classification ”Parameterized maximum-entropy-based three-way approximate attribute reduction.” International Journal of Approximate Reasoning 151 (2022): 85-100

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.196227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.898547Z digest=sha256:592e5fcd4198ef243440f7b3601b577235f34c33d9bbc9222f55cb81264dcfb6

Observation 3d2039f9-837c-4b57-9d18-7da03307f8ce · outbound

This paper cites FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders.

Enhanced Convolutional Neural Networks for Improved Image Classification FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:11:04.139552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.901938Z digest=sha256:b1561c3b73e33a39ee5e92b24814dfc0789e0ba8fa517560abcef084824e16b2

Observation 1e06ce1a-339c-4893-8e06-bdf08aee4051 · outbound

This paper cites an unresolved cited work.

Enhanced Convolutional Neural Networks for Improved Image Classification Unresolved cited work

Reference 10

Resolution
verified exact
raw_fallback, observed 2026-08-09T18:11:04.123705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.905692Z digest=sha256:e60339fca56560479dd151d91b53e06f63ce736dbe9853286f2c803682e6f207

Observation 72fcfba9-0d16-4f44-a718-9d01f2edf4d1 · outbound

This paper cites Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning.

Enhanced Convolutional Neural Networks for Improved Image Classification Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:03.909036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:03.909036Z digest=sha256:352b181180eee9cbee508f18fee03a607694978a591afd95445aadadc76b6781

Observation 06216914-9ba6-45a0-be10-be906bc321d4 · outbound

This paper cites Heigold, I.

Enhanced Convolutional Neural Networks for Improved Image Classification Heigold, I

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.186451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.913674Z digest=sha256:8b37b63bafd534143fbabf486f2e419faab63b2f8f0d85c411e00aa552c09fe4

Observation 8e71dafa-5bf4-4f42-8e72-815752337a3c · outbound

This paper cites Hochreiter and J.

Enhanced Convolutional Neural Networks for Improved Image Classification Hochreiter and J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:11:04.176997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.917265Z digest=sha256:8d0295ad38f02ac56aba8c7531a00976c4f9545a65e04f6bf3a60856d86ae896

Observation 0fc8886d-c641-41dd-b0d1-f70417ba06c5 · outbound

This paper cites an unresolved cited work.

Enhanced Convolutional Neural Networks for Improved Image Classification Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T18:11:04.167335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:11:03.920655Z digest=sha256:e454ead25a9e9ad54f7708c786e4b5cc44f5e2966d3fd6d927ab56ff70401b50

Observation 895d66bc-2c7f-46c5-b48b-b70997b1efbb · outbound

This paper cites Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective.

Enhanced Convolutional Neural Networks for Improved Image Classification Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T18:11:03.923859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:03.923859Z digest=sha256:9a91a98533fd4c776cd0e78f0fc0b36864024ecd8539c5b81bc35e414cbfef5e

Pith citing papers

No inbound Pith citation observations are available.