Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:22:48.045806Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2507.11127.
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 2026-08-06T17:22:48.045806Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T07:59:21.925661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
75 of 75 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation f39ed903-3742-492e-b578-13f455cb8cfc · outbound
Defining neurosymbolic AI write newline
Reference 1
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Observation 921c30cc-ea56-4d22-9ea3-832a5b6a62c2 · outbound
Defining neurosymbolic AI @esa (Ref
Reference 2
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Observation b968860e-2224-4205-8c6b-beb153bfd116 · outbound
Defining neurosymbolic AI Unresolved cited work
Reference 3
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Observation bf868bb8-8093-4904-bf87-d3abee46338e · outbound
Defining neurosymbolic AI Unresolved cited work
Reference 4
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Defining neurosymbolic AI Semantic probabilistic layers for neuro-symbolic learning
Reference 5
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Observation 9d2a9893-a4ab-4da1-b5cb-de1a87dc6196 · outbound
Defining neurosymbolic AI Visual sudoku puzzle classification: A suite of collective neuro-symbolic tasks
Reference 6
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Defining neurosymbolic AI $\Pi$-NeSy: A Possibilistic Neuro-Symbolic Approach
Reference 7
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Observation b481df85-4953-453a-a205-260c2a433e9a · outbound
Defining neurosymbolic AI Dimensions of Neural-symbolic Integration - A Structured Survey
Reference 8
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Observation 3ec64895-7a16-420e-85a6-58449b30c8fd · outbound
Defining neurosymbolic AI Logic tensor networks
Reference 9
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Observation 0184c1df-c18b-4b61-8495-eb4cf3676154 · outbound
Defining neurosymbolic AI Probabilistic inference in hybrid domains by weighted model integration
Reference 10
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Defining neurosymbolic AI Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Reference 11
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Observation ffa93f23-144a-4a8c-a6d2-56be54a77373 · outbound
Defining neurosymbolic AI On probabilistic inference by weighted model counting
Reference 12
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Defining neurosymbolic AI Probabilistic circuits: A unifying framework for tractable probabilistic models
Reference 13
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Observation d7441ada-08f0-4156-9de5-714c911ea1ae · outbound
Defining neurosymbolic AI Theory of capacities
Reference 14
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Defining neurosymbolic AI Tensorlog: A probabilistic database implemented using deep-learning infrastructure
Reference 15
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Defining neurosymbolic AI A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
Reference 16
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Defining neurosymbolic AI d'Avila Garcez, Marco Gori, Lu \' s C
Reference 17
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Defining neurosymbolic AI Compositional approach to translate ltlf/ldlf into deterministic finite automata
Reference 18
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Defining neurosymbolic AI Linear temporal logic and linear dynamic logic on finite traces
Reference 19
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Defining neurosymbolic AI Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
Reference 20
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Observation 8a1572d7-7f71-4466-a8e9-5e7cb6df0f8f · outbound
Defining neurosymbolic AI From statistical relational to neuro-symbolic artificial intelligence
Reference 21
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Observation c82efb0c-d866-48ea-bd5b-fa0e8340e241 · outbound
Defining neurosymbolic AI Neural probabilistic logic programming in discrete-continuous domains
Reference 22
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Defining neurosymbolic AI Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
Reference 23
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Observation 82e297e1-8d19-4f7c-ad7f-68456bd85e72 · outbound
Defining neurosymbolic AI Semantic-based regularization for learning and inference
Reference 24
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Defining neurosymbolic AI Neural logic machines
Reference 25
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Defining neurosymbolic AI Declarative probabilistic logic programming in discrete-continuous domains
Reference 26
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Defining neurosymbolic AI A brief overview of possibilistic logic
Reference 27
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Observation 703e6610-e828-4229-a63a-395180e6013c · outbound
Defining neurosymbolic AI Dl2: training and querying neural networks with logic
Reference 28
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Observation f2317cff-93c5-437a-bfa5-32b492c6a4f4 · outbound
Defining neurosymbolic AI Unresolved cited work
Reference 29
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Observation d76bda30-c907-4e04-92c5-524c03c71b6e · outbound
Defining neurosymbolic AI Neural-symbolic learning and reasoning: a survey and interpretation
Reference 30
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Observation 1a28ccd2-f05c-4464-a331-9b7a9fa09974 · outbound
Defining neurosymbolic AI The stable model semantics for logic programming
Reference 31
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Observation 4fe4e327-6277-440a-aaff-584385a80304 · outbound
Defining neurosymbolic AI Theory of t-norms and fuzzy inference methods
Reference 32
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Observation b9aaa819-3c5b-44e0-a075-d6ba9b976263 · outbound
Defining neurosymbolic AI Kamruzzaman Sarker, editors
Reference 33
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Observation 134f4b46-5670-434e-bee4-9a622b22eebd · outbound
Defining neurosymbolic AI Toward a broad AI
Reference 34
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Observation adaa11dc-7948-4966-9f23-cdeb9b4daee0 · outbound
Defining neurosymbolic AI Valid text-to-sql generation with unification-based deepstochlog
Reference 35
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Defining neurosymbolic AI Unresolved cited work
Reference 36
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Observation e2475e29-e02e-4a89-9c60-bc7bbb43209e · outbound
Defining neurosymbolic AI Algebraic model counting
Reference 37
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Observation 67d903bb-6eb2-4605-9623-554e9c64050c · outbound
Defining neurosymbolic AI Inductive Learning of Answer Set Programs from Noisy Examples
Reference 38
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Defining neurosymbolic AI Scallop: A language for neurosymbolic programming
Reference 39
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Defining neurosymbolic AI Investigations into the sentential calculus
Reference 40
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Defining neurosymbolic AI Soft-unification in deep probabilistic logic
Reference 41
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Observation 324f1d2c-f0b3-434c-a804-0518873508f2 · outbound
Reference 42
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Defining neurosymbolic AI DeepProbLog: neural probabilistic logic programming
Reference 43
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Observation 08008f43-27da-4276-92a6-c3b974622f79 · outbound
Defining neurosymbolic AI Neural probabilistic logic programming in DeepProbLog
Reference 44
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Defining neurosymbolic AI Neural markov logic networks
Reference 45
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Defining neurosymbolic AI Integrating learning and reasoning with deep logic models
Reference 46
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Defining neurosymbolic AI From statistical relational to neurosymbolic artificial intelligence: A survey
Reference 47
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Defining neurosymbolic AI A semantic framework for neurosymbolic computation
Reference 48
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Defining neurosymbolic AI NeuPSL: Neural Probabilistic Soft Logic
Reference 49
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Defining neurosymbolic AI End-to-end differentiable proving
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Defining neurosymbolic AI On the semantics of fuzzy logic
Reference 51
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Defining neurosymbolic AI Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
Reference 52
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Defining neurosymbolic AI Conditional sum-product networks: Imposing structure on deep probabilistic architectures
Reference 53
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Reference 54
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Defining neurosymbolic AI Neural-Probabilistic Answer Set Programming
Reference 55
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Defining neurosymbolic AI Lifted relational neural networks: Efficient learning of latent relational structures
Reference 57
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Defining neurosymbolic AI Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Reference 58
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Defining neurosymbolic AI Generalized measure theory, volume 25
Reference 66
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Reference 67
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Defining neurosymbolic AI DeepStochLog: neural stochastic logic programming
Reference 68
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Defining neurosymbolic AI Deepstochlog: Neural stochastic logic programming
Reference 69
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Defining neurosymbolic AI A semantic loss function for deep learning with symbolic knowledge
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Reference 30
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