Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:19:18.567764Z
Paper Citation Record · LEDGER
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification
As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.24792.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact3
- verified fuzzy16
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4b65d162-692a-4318-b614-34f686f27084 · outbound
This paper cites A novel multi-feature fusion method for classification of gastrointestinal diseases using endoscopy images,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification A novel multi-feature fusion method for classification of gastrointestinal diseases using endoscopy images,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:22.717505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c9829ed8-0834-4e19-8e5d-b6e5a172c05a · outbound
This paper cites Automatic detection and segmentation of colorectal cancer with deep residual convolutional neural net- work,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Automatic detection and segmentation of colorectal cancer with deep residual convolutional neural net- work,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:22.540825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c37c7a22-caf9-485e-b59c-f9909fcb55f0 · outbound
This paper cites Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video),.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video),
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:22.354483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 941b11b3-726d-4018-b58c-9170990b83cf · outbound
This paper cites A Combined Corner and Edge Detector,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification A Combined Corner and Edge Detector,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:22.127253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a179667-55cc-4f91-9074-6959d862a880 · outbound
This paper cites Surf: Speeded up robust features,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Surf: Speeded up robust features,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:21.969379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bb78dd9-4ed8-4810-9fc9-3d36c5038331 · outbound
This paper cites Orb: An efficient alternative to sift or surf,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Orb: An efficient alternative to sift or surf,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:21.822138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dc1dcba4-557c-4805-867a-1cc81c329832 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:16.708645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e53da4e3-1fc8-4142-baed-5a0a6bd9adee · outbound
This paper cites Efficient detection of lesions during endoscopy,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Efficient detection of lesions during endoscopy,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:21.647047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e42c4dc0-43f7-4632-ba2b-857a298605b7 · outbound
This paper cites An image classification model based on transfer learning for ulcerative proctitis,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification An image classification model based on transfer learning for ulcerative proctitis,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:21.467911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0ecb822c-149d-429e-82bd-5d28861dad30 · outbound
This paper cites Chollet, Xception: Deep learning with depthwise separable convolutions , 2017.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Chollet, Xception: Deep learning with depthwise separable convolutions , 2017
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:21.250587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b145121a-6e05-4275-873a-8109a1f27f23 · outbound
This paper cites an unresolved cited work.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:19:21.061405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c82c515b-1de5-4e7d-a02e-a8ee5c0bb819 · outbound
This paper cites Huang, Z.
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:20.852005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cdaeda93-e3bb-49af-9571-2fa8949e481d · outbound
This paper cites Diagnosis of ulcerative colitis from endoscopic images based on deep learning,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Diagnosis of ulcerative colitis from endoscopic images based on deep learning,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:20.627560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc34d0fb-5175-4825-8769-24f670136d68 · outbound
This paper cites an unresolved cited work.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:19:20.429933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d0ea268-8dc7-4493-8eca-5a53ab3296a4 · outbound
This paper cites Prototypical net- works for few-shot learning,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Prototypical net- works for few-shot learning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:20.261863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c861122d-2062-4ac2-89d1-9897f80a7b61 · outbound
This paper cites an unresolved cited work.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:19:20.182237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03de90e6-3f92-45f6-adf7-feea5f788499 · outbound
This paper cites Attention Is All You Need.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Attention Is All You Need
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:17.743947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b182787-79de-4d47-b21e-add9f65777b3 · outbound
This paper cites BiFormer: Vision Transformer with Bi-Level Routing Attention.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification BiFormer: Vision Transformer with Bi-Level Routing Attention
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:19:19.157979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b5cef53-9f85-475a-97ab-2748add1e995 · outbound
This paper cites Kvasir: A multi-class image dataset for computer aided gas- trointestinal disease detection,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Kvasir: A multi-class image dataset for computer aided gas- trointestinal disease detection,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:20.003622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e48786e-e5f2-47ba-aca1-d5fb36fdee0b · outbound
This paper cites HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:19.862871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97e5d83b-6511-4b27-93dd-3eb26d08c2d5 · outbound
This paper cites The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin le- sions,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin le- sions,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:19.693198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7e27120c-2096-41b4-ae2c-1d0ba42a814f · outbound
This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:18.155800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71e058fd-6ea8-4dfb-ad6a-684dd261397c · outbound
This paper cites an unresolved cited work.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:19:19.532657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24262180-e464-489d-8395-75efcf5b9ccc · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge,.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification ImageNet Large Scale Visual Recognition Challenge,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:19:19.365276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 95466400-fb06-429a-b834-23774d99dec4 · outbound
This paper cites Meta-Learning with Fewer Tasks through Task Interpolation.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Meta-Learning with Fewer Tasks through Task Interpolation
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:19:18.827074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b78f4ca2-5710-4d59-b2a0-d06e2003900a · outbound
This paper cites mixup: Beyond Empirical Risk Minimization.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification mixup: Beyond Empirical Risk Minimization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:18.567764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eda9cb4-b0c8-43a1-acbb-4c27c1ef6876 · outbound
This paper cites EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Reference 2016
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T12:19:18.991934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6284a936-464a-44d1-b945-f89ad15f4d0f · outbound
This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:17.557490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a195702-f756-4f99-994d-9c3753aa767c · outbound
This paper cites Densely Connected Convolutional Networks.
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification Densely Connected Convolutional Networks
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:19:17.266308Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.