Paper Citation Record · LEDGER

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins

As of 24 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2501.08561.

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

pith.paper-citation-record.v1
2501.08561 v5

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:28:06.994757Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T18:04:09.528381Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-18T18:06:42.900646Z

Reference resolution

33 of 33 outbound references displayed

verified exact1
verified fuzzy29
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee87decf-34d5-43bf-a5d4-d2fcd6e56607 · outbound

This paper cites Digital twin market - global forecast to 2028,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Digital twin market - global forecast to 2028,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:11.564761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 42381c86-fbb0-4f09-92d8-7f2f1eb8c98a · outbound

This paper cites Digital twin in smart manufacturing,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Digital twin in smart manufacturing,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:11.442779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e2911b41-5721-4b1f-8910-bb98805da2d7 · outbound

This paper cites V ohra,Digital twin technology: fundamentals and applications.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins V ohra,Digital twin technology: fundamentals and applications

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:11.384756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23a19589-9395-4761-a8a1-bd36bae8ae7d · outbound

This paper cites Applications of digital twin across industries: A review,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Applications of digital twin across industries: A review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:11.257371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8372ac5a-a64c-4e89-bc28-34d7eb207398 · outbound

This paper cites Towards adaptive digital twins architecture,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Towards adaptive digital twins architecture,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:11.115080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37975131-5f51-41f8-bb3a-495961a6bbb0 · outbound

This paper cites Dynamic digital twins for situation awareness,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Dynamic digital twins for situation awareness,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.991339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43c8b0f8-2ac0-4467-b3dd-bc023914a18f · outbound

This paper cites Human digital twin in the context of industry 5.0,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Human digital twin in the context of industry 5.0,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.854845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4d282cd7-19b0-41b8-8e85-8e6daea73f4d · outbound

This paper cites Methodology for enabling dynamic digital twins and virtual model evolution in industrial robotics-a predictive maintenance application,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Methodology for enabling dynamic digital twins and virtual model evolution in industrial robotics-a predictive maintenance application,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.714758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12a7fef0-5bff-4af3-b785-beacd5ab271c · outbound

This paper cites Towards efficient neuro-symbolic ai: From workload characterization to hardware architecture,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Towards efficient neuro-symbolic ai: From workload characterization to hardware architecture,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.584787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eec3a8f0-bdcb-468d-9b6a-9752b9743e6e · outbound

This paper cites Proximal Policy Optimization Algorithms.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Proximal Policy Optimization Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:06.064764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ef7f74-b165-4466-825e-2de7017d47fa · outbound

This paper cites Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Aˆ 3: Accelerating attention mechanisms in neural networks with approximation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.474758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ff3592d-1324-4ebf-8578-252384a619d1 · outbound

This paper cites A re- view of explainable artificial intelligence in supply chain management using neurosymbolic approaches,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A re- view of explainable artificial intelligence in supply chain management using neurosymbolic approaches,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.344760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 35a896ff-237a-4f6a-a30d-10e84dfc2664 · outbound

This paper cites Neuro-symbolic explainable artificial intelligence twin for zero-touch ioe in wireless network,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Neuro-symbolic explainable artificial intelligence twin for zero-touch ioe in wireless network,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.220924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8612e43e-6d1f-4604-905a-4be1410e2e3f · outbound

This paper cites Reinforcement learning and autonomous driving: Comparison between dqn and ppo,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Reinforcement learning and autonomous driving: Comparison between dqn and ppo,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:10.064756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b077f935-cae3-4e7e-b237-86ea6b918a24 · outbound

This paper cites Adaptive digital twins for energy-intensive industries and their local communities,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Adaptive digital twins for energy-intensive industries and their local communities,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.934853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76ace073-7f50-453c-bb53-f35d34aae7d8 · outbound

This paper cites Systematic literature review on neuro-symbolic ai in knowledge graph construction for manufacturing,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Systematic literature review on neuro-symbolic ai in knowledge graph construction for manufacturing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.764783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3f5ec4a-d6d0-48bf-b7bf-29a554aa507d · outbound

This paper cites Neuro-symbolic ai at bosch: Data foundation, insights, and deployment.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Neuro-symbolic ai at bosch: Data foundation, insights, and deployment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.582852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fed4a418-9ac1-4be0-96ef-d3b9310c12c7 · outbound

This paper cites Neurosymbolic ai: Combining deep learning and rule learning.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Neurosymbolic ai: Combining deep learning and rule learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.458784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97b021a6-e7e1-4da1-9737-bc5c2e61d4fc · outbound

This paper cites A consistency method for digital twin model of human-robot collaboration,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A consistency method for digital twin model of human-robot collaboration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.300693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8ff85624-1885-40b4-9c98-286e164ae58a · outbound

This paper cites Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:28:07.444921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc590f39-a11b-4bc9-af31-bb7c302d7533 · outbound

This paper cites Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.167324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb53b2d2-d74f-446e-8c36-7c5f9a6f639b · outbound

This paper cites A survey on verification and validation, testing and evaluations of neurosymbolic artificial intelligence,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A survey on verification and validation, testing and evaluations of neurosymbolic artificial intelligence,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:09.042342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation efd4cd16-16d0-432a-ae6a-56a436a0877a · outbound

This paper cites A review of unit level digital twin applications in the manufacturing industry,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A review of unit level digital twin applications in the manufacturing industry,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.922692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 773cfbb9-9e44-46e3-a093-ae3769130fae · outbound

This paper cites A practical approach to reconstruct high-quality landsat ndvi time-series data by gap filling and the savitzky–golay filter,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A practical approach to reconstruct high-quality landsat ndvi time-series data by gap filling and the savitzky–golay filter,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.812768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3167081-462f-4745-9ddd-7085e93c7318 · outbound

This paper cites Explainable ai for digital twins via neuro-symbolic rule extraction,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Explainable ai for digital twins via neuro-symbolic rule extraction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.664752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebfe4aa7-447b-47f7-a4af-abcc241fb3cb · outbound

This paper cites Unsupervised learning of neuro- symbolic rules for generalizable context-aware planning in object ar- rangement tasks,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Unsupervised learning of neuro- symbolic rules for generalizable context-aware planning in object ar- rangement tasks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.478262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bcd21d5d-bcae-46b8-bd9b-321430ad2056 · outbound

This paper cites Problog 2: A probabilistic logic programming toolbox,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Problog 2: A probabilistic logic programming toolbox,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.354747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f186ae9-a007-4ffa-ae28-e54d182cc47e · outbound

This paper cites A deep learning-enhanced digital twin framework for improving safety and reliability in human–robot collaborative manufacturing,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins A deep learning-enhanced digital twin framework for improving safety and reliability in human–robot collaborative manufacturing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.220568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0a84728-dca9-4afc-b0a8-162eb0c3b096 · outbound

This paper cites Anderson- 14 darling and watson tests for the geometric distribution with estimated probability of success,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Anderson- 14 darling and watson tests for the geometric distribution with estimated probability of success,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:08.067125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a01d8e82-344c-4eb1-aea1-9248a7df7309 · outbound

This paper cites Automatic tuning of hyperparame- ters using bayesian optimization,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Automatic tuning of hyperparame- ters using bayesian optimization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:07.925076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8683f89c-cab2-42c3-b53b-e83d98ce8aef · outbound

This paper cites Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:06.897995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee71037d-6ea9-40db-a352-4e107b812733 · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Stable-baselines3: Reliable reinforcement learning implementations,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:06.944901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e735a566-4a42-4498-b124-7dcc82840f32 · outbound

This paper cites Digital-twin-based real- time optimization for a fractional order controller for industrial robots,.

ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins Digital-twin-based real- time optimization for a fractional order controller for industrial robots,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:28:07.744883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 89acaea5-0efb-4f77-bb19-2b2985d66e5c · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins

Reference 218

Resolution: verified exact; arxiv_id, observed 2026-07-28T02:22:20.109219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.