Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:03:39.091217Z
Paper Citation Record · LEDGER
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
As of 23 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.03880.
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 2026-08-23T06:30:58.430688+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
58 of 58 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 91e28a1b-a06e-4ac8-abff-343fa2ce15ed · outbound
This paper cites an unresolved cited work.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 1
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Observation d4c6e17e-fa79-44bb-baa8-fe63fd3ef1fe · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 2
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 6
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 7
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 11
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Observation 0c7cf090-fde0-44f3-b25a-5c7c690a2805 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 12
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 13
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Chandola, A
Reference 15
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 07b9f216-d250-4f7c-baea-ac15445a2db2 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation c65f2015-92fe-4536-981e-6e122d8ee65d · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 69d4b212-0738-43d1-847a-f0280572cc21 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 381738d7-b105-48d1-8f22-d9ecd72c819a · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 34c60f5b-67b6-4c70-9a30-605a34fe6c20 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 21
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Observation db8a3aca-1776-4af8-9fd2-62fcc57cb81c · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Entezami, H
Reference 22
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Reference 23
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Observation 5283ce18-9949-4153-8e63-479c47d8b950 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 24
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Observation 27adebf2-36de-46f9-b527-34cbb10e90ae · outbound
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Reference 25
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Observation 986f9e83-5baa-4863-aa08-c888b0d82dea · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 154eb2e1-1335-4445-b606-ad604f85a2a6 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data A Cookbook of Self-Supervised Learning
Reference 27
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 4d7ddc60-aeb4-4233-a040-2678f1bb5300 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Reference 32
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 33
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Self-supervised Pretraining of Visual Features in the Wild
Reference 34
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Density estimation using Real NVP
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data XLNet: Generalized Autoregressive Pretraining for Language Understanding
Reference 40
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Reference 41
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Krizhevsky, I
Reference 42
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Wickstrøm, M
Reference 43
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Observation 54ffc4b2-3a3a-40f6-818f-715bdb75c2e7 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data mixup: Beyond Empirical Risk Minimization
Reference 44
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Source-reported events for the cited work
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Observation 178d5d5e-e556-481e-8b86-d314b48aa6f6 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data MixCo: Mix-up Contrastive Learning for Visual Representation
Reference 46
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Unavailable: canonical work link unavailable.
Observation e68a9902-07d4-44e0-867c-8a968b302658 · outbound
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Source-reported events for the cited work
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Source-reported events for the cited work
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Observation a00a4a1b-165f-4917-8cc0-c27e837649b6 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Goodfellow, J
Reference 49
- Resolution
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Source-reported events for the cited work
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Observation 87a06a51-e839-48cb-9d09-5b72d36fe5c2 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Adversarial Autoencoders
Reference 50
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Unavailable: canonical work link unavailable.
Observation b199d0f4-5409-4543-a031-efd1715e60c0 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Observation 4bd524c1-c8a2-4d68-abe9-636fe4451379 · outbound
This paper cites an unresolved cited work.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 52
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db4d8b42-eaa8-4618-90e2-db4535cfe0af · outbound
This paper cites an unresolved cited work.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
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Source-reported events for the cited work
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Observation e35dc9d0-8c25-40f9-8063-b8446396df20 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Metrics for Multi-Class Classification: an Overview
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5eb2fa2-759e-4c9b-b9a7-58c6c462e3d8 · outbound
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Reference 55
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca2fc998-436a-4d42-a986-c280c9d2f341 · outbound
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Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Adam: A Method for Stochastic Optimization
Reference 56
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6630f787-1a44-4921-b4ed-59d65547ee63 · outbound
This paper cites an unresolved cited work.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data Unresolved cited work
Reference 57
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- unresolved
- raw_fallback, observed 2026-08-11T22:03:39.384239Z
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Observation 7835b74c-6d90-41a7-ad60-35f4fbeab053 · outbound
This paper cites The Hidden Uniform Cluster Prior in Self-Supervised Learning.
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data The Hidden Uniform Cluster Prior in Self-Supervised Learning
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:03:39.091217Z
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Pith citing papers
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