Paper Citation Record · LEDGER

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins

As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.12982.

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

pith.paper-citation-record.v1
2509.12982 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T16:43:21.494887Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

38 of 38 outbound references displayed

verified exact6
verified fuzzy32
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2ad090c-ec25-414b-a47d-8966c81d8de4 · outbound

This paper cites K-Sim® Navigation.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins K-Sim® Navigation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.135763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 595cc50c-ad09-4159-bd72-66f4db6738af · outbound

This paper cites RoboSAPIENS.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins RoboSAPIENS

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.100041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0420ce4d-8a39-4415-84cc-9059db3839f6 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Optuna: A next-generation hyperparameter optimization framework

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.138768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 703a068c-119e-46a8-ba5d-7928566af4e6 · outbound

This paper cites Concrete Problems in AI Safety.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Concrete Problems in AI Safety

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:46:37.736636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8df03efb-3629-46c8-8695-71385f18edfa · outbound

This paper cites Modeling and analyzing MAPE-K feedback loops for self-adaptation.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Modeling and analyzing MAPE-K feedback loops for self-adaptation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.191076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fd8ed86-7962-47be-80ca-10b699c60dbb · outbound

This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.149851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87db4786-4174-48d2-b985-406c8ef79027 · outbound

This paper cites Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.186816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8aafd3c0-c249-46cd-9e13-bdac8ed6f7de · outbound

This paper cites Digital twin enabled runtime verification for autonomous mobile robots under uncertainty.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Digital twin enabled runtime verification for autonomous mobile robots under uncertainty

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.182148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60ab3583-ba51-46a6-b613-bff1937b4f44 · outbound

This paper cites Real-time out-of-distribution detection in learning-enabled cyber-physical systems.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Real-time out-of-distribution detection in learning-enabled cyber-physical systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.093639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb7970af-1330-4bf1-a4c8-99528c3afd5d · outbound

This paper cites Deep verifier networks: Verification of deep discrim- inative models with deep generative models.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Deep verifier networks: Verification of deep discrim- inative models with deep generative models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.168351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 77b2d33a-c29d-4f85-b73e-5f1aa852be24 · outbound

This paper cites Software engineering for self-adaptive systems: A second research roadmap.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Software engineering for self-adaptive systems: A second research roadmap

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.132614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57d0ecd6-2d9a-4eec-8715-9087679e672f · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.127771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1756826c-f73a-4cfc-8537-e2db50f3aa54 · outbound

This paper cites Leveraging digital twins for fault diagnosis in autonomous ships.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Leveraging digital twins for fault diagnosis in autonomous ships

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.103115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac30e90d-055d-44b5-a60a-b68759977f1b · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-18T16:46:37.746160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b4e74b4-3f31-45ac-884d-23919965de55 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.096969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b17b960c-399a-4561-8322-3bc98c6c19e4 · outbound

This paper cites Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:46:37.741650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b43d4d0a-2caf-45b7-bc59-a75973b65985 · outbound

This paper cites Digital twin-based out-of-distribution detection in autonomous vessels.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Digital twin-based out-of-distribution detection in autonomous vessels

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:46:37.732006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a127bc8-f32e-4e7d-98b7-6750c3b0fc73 · outbound

This paper cites Proactive anomaly detection for robot navigation with multi-sensor fusion.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Proactive anomaly detection for robot navigation with multi-sensor fusion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.202468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation efe87244-edd3-42de-8271-843d2d74cc79 · outbound

This paper cites Accurate uncertainties for deep learning using calibrated regression.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Accurate uncertainties for deep learning using calibrated regression

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.205984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd2c1f7c-17fa-425d-9793-7f72b0119332 · outbound

This paper cites Robotic safe adaptation in unprecedented situations: the robosapiens project.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Robotic safe adaptation in unprecedented situations: the robosapiens project

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.212821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ebd610b-fd46-4689-a4da-da7c84bf7a3d · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.195142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0049d5db-dc6c-4d3b-9c11-5928bdd81b78 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:46:37.726568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff1f66c7-bf16-4e2a-b30f-340e9b796ba7 · outbound

This paper cites A unified approach to interpreting model predictions.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins A unified approach to interpreting model predictions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.177018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae29017b-e48c-4316-b973-fbb7b6797b78 · outbound

This paper cites Research and application of Transformer based anomaly detection model: A literature review.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Research and application of Transformer based anomaly detection model: A literature review

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:46:37.751450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22b991a9-4960-4b44-b725-b783f9ec4004 · outbound

This paper cites Digital twin-based self-learning decision- making framework for industrial robots in manufacturing.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Digital twin-based self-learning decision- making framework for industrial robots in manufacturing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.154693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 478f9788-7368-4249-9aad-f906874105fb · outbound

This paper cites Anomaly detection using machine learning and adopted digital twin concepts in radio environments.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Anomaly detection using machine learning and adopted digital twin concepts in radio environments

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.147090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5cbb897b-76aa-4b1f-bb59-12d9b66df3d9 · outbound

This paper cites Explainable ai: interpreting, explaining and visualizing deep learning.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Explainable ai: interpreting, explaining and visualizing deep learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.152161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b95bc05-accc-40ac-9664-404e5876d492 · outbound

This paper cites Tiago omni base ros 2 simulation.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Tiago omni base ros 2 simulation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.157753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a18e3a3b-3fb8-4a3f-9f6f-3e6c6b25d595 · outbound

This paper cites The three sigma rule.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins The three sigma rule

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.106504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4e749ca-0619-4efb-8515-2fcd891c0507 · outbound

This paper cites Likelihood ratios for out-of-distribution detection.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Likelihood ratios for out-of-distribution detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.216064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 66f784d7-2f01-455b-8a3a-f5f950f6bdc8 · outbound

This paper cites " why should i trust you?.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins " why should i trust you?

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.144131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 82cadcbe-331c-4718-b7f1-510820b55c94 · outbound

This paper cites Breaking the loop: Aware is the new mape-k.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Breaking the loop: Aware is the new mape-k

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.141643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4ba8a90-77f1-4a41-a4aa-b441b0e9d0c4 · outbound

This paper cites Digital twin system for vtol uav fault diagnosis based on px4.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Digital twin system for vtol uav fault diagnosis based on px4

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.198805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 368fd5ea-5468-4b02-9cf9-fa2222655aef · outbound

This paper cites Diagnostic digital twin for anomaly detection in floating offshore wind energy.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Diagnostic digital twin for anomaly detection in floating offshore wind energy

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.209475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 919ccec8-ba3f-4699-b1ae-0901398c6310 · outbound

This paper cites Tiago omni base robot.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Tiago omni base robot

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.164716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c8f927db-6d17-446e-b4b2-8aad055b89ea · outbound

This paper cites Design and implementation of digital twin-assisted simulation method for autonomous vehicle in car-following scenario.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Design and implementation of digital twin-assisted simulation method for autonomous vehicle in car-following scenario

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.172202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21cbcc80-c63f-42fd-914e-5519367da859 · outbound

This paper cites Digital twin-based anomaly detection with curriculum learning in cyber-physical systems.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Digital twin-based anomaly detection with curriculum learning in cyber-physical systems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.109698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a3b853c2-52e5-4c35-8645-53f665dc38b9 · outbound

This paper cites Generalized out-of-distribution detection: A survey.

Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins Generalized out-of-distribution detection: A survey

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T16:46:39.161194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.