Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T20:19:44.461142Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2511.20586.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T20:19:44.461142Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 2da7d964-8831-4214-9bbf-3abfb176334e · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Learning from noisy labels with deep neural networks: A survey,
Reference 1
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Observation 01c4080c-a96d-4ea7-b786-887e42b110bc · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Your other left! vision-language models fail to identify relative positions in medical images,
Reference 2
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Observation d15a1701-86c5-4746-83a2-d1af0ad687b2 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Assessing the transferability of adversarial patches in real-world systems: Implications for adversarial testing of image recognition security,
Reference 3
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Unavailable: canonical work link unavailable.
Observation a32a6316-c65a-4216-8fd8-c58e359dc007 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Understanding the effect of accuracy on trust in machine learning models,
Reference 4
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Observation b3a46c75-3d65-469c-8039-b6c7932ac744 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Ethics guidelines for trustworthy ai,
Reference 5
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Unavailable: canonical work link unavailable.
Observation 22bf5048-4795-4b06-b12f-9858ecb74497 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Establishing and evaluating trustworthy ai: overview and research challenges,
Reference 6
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Observation 3c443e84-9803-4b6a-bbbb-4a2560309dd6 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trustworthy transfer learning: A survey,
Reference 7
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Observation 8b1c03db-d588-4768-b322-c02d02f4500d · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic SmoothGrad: removing noise by adding noise
Reference 8
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Observation 45d8db7d-f026-410d-b960-cf9a2eb3f788 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Jøsang,Subjective Logic: A Formalism for Reasoning Under Uncertainty, ser
Reference 9
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Observation eb86ec2b-66c4-4f6f-ae2e-00695c5d1743 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Upper and lower probabilities induced by a multivalued mapping,
Reference 10
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Observation 94902e67-31f6-43e6-9849-f96cea3c64ae · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Shafer,A Mathematical Theory of Evidence
Reference 11
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Observation bd55af65-7fe1-4554-afb6-46ab08064e8a · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Reference 12
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Observation 9e52e919-50f0-4647-80b3-1cddc30c886e · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Multi-source fusion in subjective logic,
Reference 13
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Unavailable: canonical work link unavailable.
Observation 5d72d3bd-1893-471e-9f09-2de896a56e78 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic On subjective logic trust discount for referral paths,
Reference 14
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Observation 8ecd5b01-e86f-4beb-85ca-e8bfa73fe08e · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trust network analysis with subjective logic,
Reference 15
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Observation dabec23c-f6c9-4db0-bfd8-bd3d0c3e6ab1 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Trust network analysis with subjective logic,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 415c8b67-205b-4863-b06d-25f9b6af81b4 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Optimal trust network analysis with sub- jective logic,
Reference 17
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Observation 23f5b35a-38e4-4e94-808f-ff65c06f61d7 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Propagation of trust and distrust,
Reference 18
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Observation f4dd6891-e93d-4c98-9f32-676aaff69d2c · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic A review on trust propagation and opinion dynamics in social networks and group decision making frameworks,
Reference 19
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Unavailable: canonical work link unavailable.
Observation f20039d6-f92e-4505-94a3-0bf1add2bae6 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Liar liar, pants on fire; or how to use subjective logic and argumentation to evaluate information from untrustworthy sources,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ea14cd6e-3d52-4ffa-acae-e317e3456c72 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic An optimized framework for dspg synthesis and trust network analysis with subjective logic,
Reference 21
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Unavailable: canonical work link unavailable.
Observation cac53a68-30ee-469f-9459-4cc347a44f70 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Dos and Don'ts of Machine Learning in Computer Security
Reference 22
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Unavailable: canonical work link unavailable.
Observation 94067a78-7cdd-491b-b535-394938cf65af · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Reference 23
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Observation 7528d5ed-c297-4279-b59e-bca6047e6c3f · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f43958c1-adbe-40f4-8035-e49dcc7a5af5 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic What uncertainties do we need in Bayesian deep learning for computer vision?
Reference 25
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Unavailable: canonical work link unavailable.
Observation b0ea1806-cdef-4414-a65b-6a6676c4efc4 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work
Reference 26
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Unavailable: canonical work link unavailable.
Observation 9e0a55ae-3c7f-4d0a-9b44-7907b4500675 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Weight Uncertainty in Neural Networks
Reference 27
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Unavailable: canonical work link unavailable.
Observation 388d3f3d-9c6c-438a-af55-8a9a93bd842d · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Decomposition of uncertainty in Bayesian deep learning for efficient and risk-sensitive learning,
Reference 28
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Unavailable: canonical work link unavailable.
Observation a133edca-1c36-4a44-a950-200ca692a488 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Reference 29
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Observation 8ee74b3b-2dda-44ce-8bab-bee3b43c4837 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Reference 30
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Unavailable: canonical work link unavailable.
Observation afb9761a-865b-417f-8a1c-516aa20bc864 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic A survey of uncertainty in deep neural networks,
Reference 31
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Unavailable: canonical work link unavailable.
Observation 42f8b6a7-0a00-4da2-8e8f-8afdc3fd83e7 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic The need for uncertainty quantification in machine-assisted medical decision making,
Reference 32
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Unavailable: canonical work link unavailable.
Observation 9ab092b9-4ca0-4244-9b20-9c721ca8576a · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered
Reference 33
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Observation fe690e5e-af6c-477c-a7d7-022ffe94f14b · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Reference 34
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Observation e3df4ce5-da69-4532-a32e-43b54b2233a1 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic On calibration of modern neural networks,
Reference 35
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Observation bb813d69-8408-4ca0-a354-30b6fcadf3b3 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Evidential Deep Learning to Quantify Classification Uncertainty
Reference 36
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Observation 29eab460-4b3f-4c50-b0e5-78e1fbf367e7 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Quantifying calibration error in neural networks through evidence-based theory,
Reference 37
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Observation e9e0a4d7-f429-472b-ae6b-5365164fb3aa · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic There is hope after all: Quantifying opinion and trustwortheiness in neural networks,
Reference 38
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Observation 795158e0-882e-4495-a68e-f4ae6e75c057 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Uncertainty propagation for dropout-based bayesian neural networks,
Reference 39
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Observation dc61d84c-321b-421d-aa82-fb38203fbe63 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Input uncertainty propagation through trained neural networks,
Reference 40
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Observation 1696895b-e80f-4a8c-b1d3-6f44d76c2aae · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Propagation of uncertainty through multilayer perceptrons for robust automatic speech recognition
Reference 41
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Observation fb1c12a3-dec6-498a-b74f-60d9185c89b6 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Spreading activation models for trust propagation,
Reference 42
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Observation 49867f70-8950-417e-8a68-92134a9478e2 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Multi-Source Fusion Operations in Subjective Logic
Reference 43
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Observation 1892751d-9134-4770-87c2-2188d1d92bfa · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Breast cancer wisconsin (diagnostic) data set,
Reference 44
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Observation 685746b3-d924-492b-bc2f-5d0254f825e9 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Gradient-based learning applied to document recognition,
Reference 45
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Observation 62770d0f-f3ca-4686-8779-ce1552b2566e · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Reference 46
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Observation 334e6c5d-2bce-490a-a12d-0e01694a4f9a · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Principles of subjective networks,
Reference 47
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Observation 450c4185-f4d7-4503-be8b-e47a7a78bf74 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Sincea q ∈[0,1[, this is a geometric sequence: an =a 0an q →0asn→ ∞
Reference 49
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Observation 90c96d90-4826-4c0b-8f09-c8ac8124b762 · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic This is a first-order linear recurrence
Reference 50
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Observation 6da7383b-5a64-497d-984c-32bee470ffed · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Unresolved cited work
Reference 51
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Observation ef7c7566-cc54-4a47-ae84-2bf53decd9ad · outbound
PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic Available: https://www.frontiersin.org/journals/big-data/ articles/10.3389/fdata.2024.1467222
Reference 2024
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No inbound Pith citation observations are available.