Paper Citation Record · LEDGER

sLTN: Structural Logic Tensor Networks

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.11136.

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

pith.paper-citation-record.v1
2608.11136 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:36:02.786569Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

42 of 42 outbound references displayed

verified exact3
verified fuzzy33
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4be211a0-d356-4ecb-a61e-8bdedc61fe5c · outbound

This paper cites Logic tensor networks.Artificial Intelligence, 303:103649, 2022.

sLTN: Structural Logic Tensor Networks Logic tensor networks.Artificial Intelligence, 303:103649, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.365985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c28e0311-d15f-4ff1-964d-fdc3fc3efd8b · outbound

This paper cites Squareplus: A Softplus-Like Algebraic Rectifier.

sLTN: Structural Logic Tensor Networks Squareplus: A Softplus-Like Algebraic Rectifier

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.633633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3cc8736-9645-43f5-b6a0-b023a62370f0 · outbound

This paper cites Integrating background knowledge in medical semantic segmentation with logic tensor networks.

sLTN: Structural Logic Tensor Networks Integrating background knowledge in medical semantic segmentation with logic tensor networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.355772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9adda3d-4f85-4436-b73e-2443a959b3d1 · outbound

This paper cites First-Order Temporal Logic Tensor Networks.

sLTN: Structural Logic Tensor Networks First-Order Temporal Logic Tensor Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:36:02.991378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40cf9525-46f1-4451-8fb1-279835934cf3 · outbound

This paper cites Enhancing multi-label learning in visual scenes with logic tensor networks and positive-unlabeled learning.SSRN Electronic Journal, 2025.

sLTN: Structural Logic Tensor Networks Enhancing multi-label learning in visual scenes with logic tensor networks and positive-unlabeled learning.SSRN Electronic Journal, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.345387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 492a62cc-eaec-43be-881c-0dfc19b1b8f6 · outbound

This paper cites Springer Science & Business Media, 2013.

sLTN: Structural Logic Tensor Networks Springer Science & Business Media, 2013

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.334880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d2e04d2-682f-4356-a1d6-8a960e1df8c5 · outbound

This paper cites Overcoming recommendation limitations with neuro-symbolic integration.

sLTN: Structural Logic Tensor Networks Overcoming recommendation limitations with neuro-symbolic integration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.324458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 524f8edd-e521-4b6b-99c2-612bdb414b1f · outbound

This paper cites Mitigating data sparsity via neuro-symbolic knowledge transfer.

sLTN: Structural Logic Tensor Networks Mitigating data sparsity via neuro-symbolic knowledge transfer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.313769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 03fd81df-8bef-4866-8fe5-8b6a243b45ac · outbound

This paper cites LTNtorch: PyTorch Implementation of Logic Tensor Networks.

sLTN: Structural Logic Tensor Networks LTNtorch: PyTorch Implementation of Logic Tensor Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.662020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e1d8d2-0e61-4eb0-8da0-56c1e7f28da4 · outbound

This paper cites Weakly Supervised Segmentation as Semantic-Based Regularization.

sLTN: Structural Logic Tensor Networks Weakly Supervised Segmentation as Semantic-Based Regularization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T05:36:02.965004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94bcc186-b759-4b8e-9970-4fc5f4a56748 · outbound

This paper cites Large language model enhanced logic tensor network for stance detection.Neural Networks, 183:106956, 2025.

sLTN: Structural Logic Tensor Networks Large language model enhanced logic tensor network for stance detection.Neural Networks, 183:106956, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.303092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2762af92-dbfb-4889-982f-fbb9490870df · outbound

This paper cites Knowledge enhanced neural networks.

sLTN: Structural Logic Tensor Networks Knowledge enhanced neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.292084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5896cf92-137e-47c6-9788-36a5f54c2aed · outbound

This paper cites Enhancing logical tensor networks: Integrating uninorm-based fuzzy operators for complex reasoning.

sLTN: Structural Logic Tensor Networks Enhancing logical tensor networks: Integrating uninorm-based fuzzy operators for complex reasoning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.281230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af623634-fb3b-41c6-a647-fc014b8400e0 · outbound

This paper cites Neuro-symbolic learning for pre- dictiveprocessmonitoringviatwo-stagelogictensornetworkswithrulepruning.

sLTN: Structural Logic Tensor Networks Neuro-symbolic learning for pre- dictiveprocessmonitoringviatwo-stagelogictensornetworkswithrulepruning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.270954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4046905-a16a-42d7-9a77-0b88974e48ef · outbound

This paper cites Neurosymbolic visual transform based on logic tensor network for defect detection.

sLTN: Structural Logic Tensor Networks Neurosymbolic visual transform based on logic tensor network for defect detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.260961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b81cf35-c532-45bf-9283-5179a39ebc02 · outbound

This paper cites Compensating supervision incompleteness with prior knowledge in semantic image interpretation.

sLTN: Structural Logic Tensor Networks Compensating supervision incompleteness with prior knowledge in semantic image interpretation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.250869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df166867-cae8-47ba-927b-cc37034a25c6 · outbound

This paper cites Logic tensor networks for semantic image interpretation.

sLTN: Structural Logic Tensor Networks Logic tensor networks for semantic image interpretation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.239968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba2d627f-730c-4ef4-be72-e88e75496e2d · outbound

This paper cites Extending logic tensor networks to im- plicit feedback for representation-aware music recommendation.

sLTN: Structural Logic Tensor Networks Extending logic tensor networks to im- plicit feedback for representation-aware music recommendation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.229373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2273e83d-1a54-4241-bd8c-092dd7bf7d7d · outbound

This paper cites Neuro-symbolic process anomaly detection.

sLTN: Structural Logic Tensor Networks Neuro-symbolic process anomaly detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.218645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edaf2f27-ab8b-4e5b-abd1-cc450a1657ad · outbound

This paper cites Enhancing transcription factor prediction via domainknowledgeintegrationwithlogictensornetworks.IEEE Transactions on Computational Biology and Bioinformatics, 2025.

sLTN: Structural Logic Tensor Networks Enhancing transcription factor prediction via domainknowledgeintegrationwithlogictensornetworks.IEEE Transactions on Computational Biology and Bioinformatics, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.208147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b4bd8510-a51f-4d52-b520-71a363d77cb5 · outbound

This paper cites From large language model predicates to logic tensor networks: Neurosymbolic offer validation in regulated procurement.

sLTN: Structural Logic Tensor Networks From large language model predicates to logic tensor networks: Neurosymbolic offer validation in regulated procurement

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.197406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1b3ec9cb-7c66-4d46-9e82-97d37bfb1312 · outbound

This paper cites Harnessing deep neural networks with logic rules.

sLTN: Structural Logic Tensor Networks Harnessing deep neural networks with logic rules

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.186279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9772b3d9-a88c-4b39-9bcf-dbe6a52fcc92 · outbound

This paper cites Deepproblog: Neural probabilistic logic programming.

sLTN: Structural Logic Tensor Networks Deepproblog: Neural probabilistic logic programming

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.174869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2e6d7d21-b7f1-468c-ba4b-d2aea887108c · outbound

This paper cites Boosting zero-shot learning through neuro-symbolic integration.Pattern Recognition, 170:111869, 2026.

sLTN: Structural Logic Tensor Networks Boosting zero-shot learning through neuro-symbolic integration.Pattern Recognition, 170:111869, 2026

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.164295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07d6d6ae-c908-4567-b3ed-bf81285f6d17 · outbound

This paper cites Probing llms for logical reasoning.

sLTN: Structural Logic Tensor Networks Probing llms for logical reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.153599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 43109c14-4f2a-4d03-ac57-80e020ff3e83 · outbound

This paper cites Integrating learning and reasoning with deep logic models.

sLTN: Structural Logic Tensor Networks Integrating learning and reasoning with deep logic models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.143018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08ff6cc6-d682-42f9-b93b-33f8605a9ed1 · outbound

This paper cites Lyrics: A gen- eral interface layer to integrate logic inference and deep learning.

sLTN: Structural Logic Tensor Networks Lyrics: A gen- eral interface layer to integrate logic inference and deep learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.131880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9889ce09-a3cf-4410-bbf6-4072b6a43eff · outbound

This paper cites A logic tensor network-based neurosymbolic framework for explainable diabetes prediction.Applied Sciences, 15(21):11806, 2025.

sLTN: Structural Logic Tensor Networks A logic tensor network-based neurosymbolic framework for explainable diabetes prediction.Applied Sciences, 15(21):11806, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.120286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cd7ae6f6-26fc-4534-89b8-dbb90495634e · outbound

This paper cites On the t-transitivity of kernels.Fuzzy Sets and Systems, 157(13):1787–1796, 2006.

sLTN: Structural Logic Tensor Networks On the t-transitivity of kernels.Fuzzy Sets and Systems, 157(13):1787–1796, 2006

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.108479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3864ccf6-378a-4089-8d2d-6307ac2914af · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

sLTN: Structural Logic Tensor Networks Pytorch: An imperative style, high-performance deep learning library, 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.096636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4dd68182-f0d5-4ed1-bf1e-108890178e8c · outbound

This paper cites Jacobian Descent for Multi-Objective Optimization.

sLTN: Structural Logic Tensor Networks Jacobian Descent for Multi-Objective Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.744261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343d2246-87c2-48ce-97ef-ef37c770e71b · outbound

This paper cites Markov logic networks.Mach.

sLTN: Structural Logic Tensor Networks Markov logic networks.Mach

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.085793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99ba6310-3344-4467-94f5-e5b4def66984 · outbound

This paper cites Logical Neural Networks.

sLTN: Structural Logic Tensor Networks Logical Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.752037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aff3d4f-adda-4e8f-9542-e3e66b0e2327 · outbound

This paper cites Learning and reasoning with logic tensor networks.

sLTN: Structural Logic Tensor Networks Learning and reasoning with logic tensor networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.073856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 169d1e5c-9b03-47e4-a64d-af0396afb1b4 · outbound

This paper cites Lifted relational neural networks: Efficient learning of latent relational structures.Journal of Artificial Intelligence Research, 62:69–100, 2018.

sLTN: Structural Logic Tensor Networks Lifted relational neural networks: Efficient learning of latent relational structures.Journal of Artificial Intelligence Research, 62:69–100, 2018

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.061556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 187531fc-3099-44bf-a3a6-2a40c590c28e · outbound

This paper cites Ontomedrec: Logically-pretrained model-agnostic ontology encoders for medication recommen- dation.World Wide Web, 27(3):28, 2024.

sLTN: Structural Logic Tensor Networks Ontomedrec: Logically-pretrained model-agnostic ontology encoders for medication recommen- dation.World Wide Web, 27(3):28, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.050146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 32515833-6ede-4673-8ef2-6643cc49108f · outbound

This paper cites Grounding ltlf specifications in image sequences.

sLTN: Structural Logic Tensor Networks Grounding ltlf specifications in image sequences

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.038355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95281403-c91b-4bf0-8cd4-7da4f1f5eb90 · outbound

This paper cites Logictensornetwork-enhancedgenerativeadversarialnetwork.

sLTN: Structural Logic Tensor Networks Logictensornetwork-enhancedgenerativeadversarialnetwork

Reference 38

Resolution: verified exact; raw_fallback, observed 2026-08-12T05:36:02.928031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8e73a04-faa7-46d1-b137-24f771240bab · outbound

This paper cites Analyzing Differentiable Fuzzy Logic Operators.

sLTN: Structural Logic Tensor Networks Analyzing Differentiable Fuzzy Logic Operators

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.775616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb03311-124b-4cf5-a90b-d8c102d40cc0 · outbound

This paper cites A Semantic Loss Function forDeepLearningwithSymbolicKnowledge.

sLTN: Structural Logic Tensor Networks A Semantic Loss Function forDeepLearningwithSymbolicKnowledge

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.026647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f34a4f4-17bb-4efa-acc9-7fb53faeeb2d · outbound

This paper cites Fedltn-cubesat: Neuro-symbolic federated learning for intrusion detection in leo cubesat constellations.Mathematics, 14(6), 2026.

sLTN: Structural Logic Tensor Networks Fedltn-cubesat: Neuro-symbolic federated learning for intrusion detection in leo cubesat constellations.Mathematics, 14(6), 2026

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:36:03.015041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation feb31519-26c2-4062-bab0-0cf08c2addda · outbound

This paper cites Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models.

sLTN: Structural Logic Tensor Networks Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T05:36:02.786569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.