Paper Citation Record · LEDGER

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.06333.

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

pith.paper-citation-record.v1
2505.06333 v1

Coverage vector

measured 32 of 32 reference resolution

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measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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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

32 of 32 outbound references displayed

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External citation measurements

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Outbound references

Observation ff865b28-611f-4f18-8931-848989769fb7 · outbound

This paper cites Neuro-symbolic empow- ered denoising diffusion probabilistic models for real-time anomaly detection in industry 4.0: Wild-and-crazy-idea paper.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Neuro-symbolic empow- ered denoising diffusion probabilistic models for real-time anomaly detection in industry 4.0: Wild-and-crazy-idea paper

Reference 1

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Observation f375e556-0c6d-40c3-82d0-eeae32462bb7 · outbound

This paper cites A framework for anomaly classification using deep transfer learning approach.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines A framework for anomaly classification using deep transfer learning approach

Reference 6

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Observation d393dcaf-808d-46a0-b645-6fa142231c03 · outbound

This paper cites an unresolved cited work.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Unresolved cited work

Reference 9

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Observation 7306e839-923e-4d32-83a8-44d3f3209f3a · outbound

This paper cites Real-time rocket assembly line manufacturing datasets.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Real-time rocket assembly line manufacturing datasets

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.631400Z

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Observation fc9db85e-5658-427f-80f1-05205dafaec5 · outbound

This paper cites Anomaly detection from system tracing data using multimodal deep learning.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Anomaly detection from system tracing data using multimodal deep learning

Reference 14

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Observation 341d7d0b-87b8-408c-89e3-75cdf150b513 · outbound

This paper cites Assemai: Inter- pretable image-based anomaly detection for manufactur- ing pipelines.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Assemai: Inter- pretable image-based anomaly detection for manufactur- ing pipelines

Reference 16

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Observation 36de6dcf-511b-4618-ad20-4a1a1406644a · outbound

This paper cites Mfgan: multimodal fusion for industrial anomaly detection using attention- based autoencoder and generative adversarial network.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Mfgan: multimodal fusion for industrial anomaly detection using attention- based autoencoder and generative adversarial network

Reference 17

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Observation ee72f86c-a9e3-42db-8767-7ffafa351754 · outbound

This paper cites Signal processing technologies for activity-aware smart textiles.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Signal processing technologies for activity-aware smart textiles

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.564661Z

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Observation 28c21fae-b6c4-4cba-9abc-3bb48805c035 · outbound

This paper cites Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.554775Z

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Observation f66ad9b8-6765-45e5-993c-4174efe92500 · outbound

This paper cites Design of an iterative method for enhanced multimodal time series analysis using graph attention networks, variational graph autoencoders, and transfer learning.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Design of an iterative method for enhanced multimodal time series analysis using graph attention networks, variational graph autoencoders, and transfer learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.548089Z

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Observation 6fc02ac5-0c8a-4dc1-b4eb-bd353951070e · outbound

This paper cites Neurosymbolic AI -- Why, What, and How.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Neurosymbolic AI -- Why, What, and How

Reference 21

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Observation 409b93a9-09c3-4f42-911a-2d170f58c531 · outbound

This paper cites Tan and Q.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Tan and Q

Reference 22

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Observation f5912195-ecb1-443d-b05a-d2457fddad3b · outbound

This paper cites Transfer learning.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Transfer learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.529102Z

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Observation 3983f007-8906-432c-81c4-af71182b3dd2 · outbound

This paper cites A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and direc- tions.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and direc- tions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.501003Z

Source-reported events for the cited work

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Observation cd40b743-b567-49ab-8197-d4d5bc4af0a6 · outbound

This paper cites A robust hybrid deep learning model for spatiotemporal image fusion.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines A robust hybrid deep learning model for spatiotemporal image fusion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.490721Z

Source-reported events for the cited work

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Observation ac118886-0694-47d0-b3c6-7cfd43f7af52 · outbound

This paper cites Efficient kpi anomaly detection through transfer learning for large- scale web services.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Efficient kpi anomaly detection through transfer learning for large- scale web services

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.481046Z

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Observation 53f6ca78-5ced-4584-85a6-0f44996f9a26 · outbound

This paper cites Multimodal Fusion on Low-quality Data: A Comprehensive Survey.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Multimodal Fusion on Low-quality Data: A Comprehensive Survey

Reference 29

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Observation 5f2fc0bb-eb6f-4844-8a5a-23964a9357b7 · outbound

This paper cites Failure prediction in datacenters using unsupervised multimodal anomaly detection.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Failure prediction in datacenters using unsupervised multimodal anomaly detection

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.471750Z

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Observation 867c09e9-ad23-4ed2-96ef-5465c674c9a4 · outbound

This paper cites Improving anomaly detection in smart grid big data with knowledge graphs.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Improving anomaly detection in smart grid big data with knowledge graphs

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.461054Z

Source-reported events for the cited work

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Observation b7d5ef33-8757-406c-a8e7-4b8451b9244a · outbound

This paper cites Survey on security issues of routing and anomaly detection for space information networks.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Survey on security issues of routing and anomaly detection for space information networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.450439Z

Source-reported events for the cited work

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Observation 78f3184c-67e6-4daa-b4df-97b2e8045ba9 · outbound

This paper cites Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform

Reference 2009

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Observation 3d66d735-cee3-465a-914f-3a8c4f0ef848 · outbound

This paper cites Spatial and temporal image fusion for time series modis data and multi-sensors medium resoultion data.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Spatial and temporal image fusion for time series modis data and multi-sensors medium resoultion data

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.520357Z

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Observation dbfc6fec-f261-40e8-a41e-a392f18b28fd · outbound

This paper cites Anomaly detection for numerical literals in knowledge graphs: A short review of approaches.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Anomaly detection for numerical literals in knowledge graphs: A short review of approaches

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.612592Z

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Observation 380e64b3-562e-4303-8469-3214fa0593b8 · outbound

This paper cites Data-driven and knowledge- based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Data-driven and knowledge- based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.510825Z

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Observation eb39c78e-c0ee-4a00-a785-ef50d314afff · outbound

This paper cites Self-supervised representation learning anomaly detection methodology based on boosting algo- rithms enhanced by data augmentation using stylegan for manufacturing imbalanced data.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Self-supervised representation learning anomaly detection methodology based on boosting algo- rithms enhanced by data augmentation using stylegan for manufacturing imbalanced data

Reference 2017

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Observation e73c88ec-18bb-42a5-bb8b-83fedba0273e · outbound

This paper cites A survey on transfer learning.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines A survey on transfer learning

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.594427Z

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Observation 558b60eb-eebf-47ef-b5ca-04d112197d71 · outbound

This paper cites Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Multimodal fusion methods with deep neural networks and meta-information for aggression detection in surveillance

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.677247Z

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Observation 75eae909-6894-4a12-b17d-75a5b34b3a76 · outbound

This paper cites Video-based emotion recognition in the wild using deep transfer learning and score fusion.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Video-based emotion recognition in the wild using deep transfer learning and score fusion

Reference 2021

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Observation e005de0a-780f-4b8d-821c-181fa0bf7ec1 · outbound

This paper cites Towards deep industrial transfer learning for anomaly detection on time series data.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Towards deep industrial transfer learning for anomaly detection on time series data

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.639489Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 89eea191-d1ab-4463-895d-5e2e0fef4fc8 · outbound

This paper cites Chandola and V.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Chandola and V

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.691078Z

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Observation c6fa7950-c1fd-4ce3-b7be-08497051b113 · outbound

This paper cites Time series classification using local distance- based features in multi-modal fusion networks.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Time series classification using local distance- based features in multi-modal fusion networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.684671Z

Source-reported events for the cited work

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Observation 6c2a7261-bfce-4ebe-95f2-275525f647b1 · outbound

This paper cites Depression recognition based on dynamic fa- cial and vocal expression features using partial least square regression.

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines Depression recognition based on dynamic fa- cial and vocal expression features using partial least square regression

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:51:11.622820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.