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Paper Citation Record · LEDGER

Defining neurosymbolic AI

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.

pith.paper-citation-record.v1
2507.11127 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:22:48.045806Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:59:21.925661Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact5
  • verified fuzzy49
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation f39ed903-3742-492e-b578-13f455cb8cfc · outbound

This paper cites write newline.

Defining neurosymbolic AI write newline

Reference 1

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no resolver link, observed 2026-08-06T17:22:41.322448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 921c30cc-ea56-4d22-9ea3-832a5b6a62c2 · outbound

This paper cites @esa (Ref.

Defining neurosymbolic AI @esa (Ref

Reference 2

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source=arxiv_source observed=2026-08-06T17:22:41.397340Z digest=sha256:110ad5e2475642a0dd83b27a1b69c09948a51bdff256e148539d5bb1e58d2ab5

Observation b968860e-2224-4205-8c6b-beb153bfd116 · outbound

This paper cites an unresolved cited work.

Defining neurosymbolic AI Unresolved cited work

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:41.481621Z digest=sha256:546af6b41157ab63c3f7edd3a71a5989cd2c1c2fc165c3ba47c3a9047b5d8cf5

Observation bf868bb8-8093-4904-bf87-d3abee46338e · outbound

This paper cites an unresolved cited work.

Defining neurosymbolic AI Unresolved cited work

Reference 4

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Source-reported events for the cited work

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Observation 0ffa11d5-7e5f-428d-86b2-3d716a89b520 · outbound

This paper cites Semantic probabilistic layers for neuro-symbolic learning.

Defining neurosymbolic AI Semantic probabilistic layers for neuro-symbolic learning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9d2a9893-a4ab-4da1-b5cb-de1a87dc6196 · outbound

This paper cites Visual sudoku puzzle classification: A suite of collective neuro-symbolic tasks.

Defining neurosymbolic AI Visual sudoku puzzle classification: A suite of collective neuro-symbolic tasks

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ef604141-a875-480d-bc26-8ec83414c429 · outbound

This paper cites $\Pi$-NeSy: A Possibilistic Neuro-Symbolic Approach.

Defining neurosymbolic AI $\Pi$-NeSy: A Possibilistic Neuro-Symbolic Approach

Reference 7

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no resolver link, observed 2026-08-06T17:22:41.758636Z

Source-reported events for the cited work

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Observation b481df85-4953-453a-a205-260c2a433e9a · outbound

This paper cites Dimensions of Neural-symbolic Integration - A Structured Survey.

Defining neurosymbolic AI Dimensions of Neural-symbolic Integration - A Structured Survey

Reference 8

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no resolver link, observed 2026-08-06T17:22:41.837083Z

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Observation 3ec64895-7a16-420e-85a6-58449b30c8fd · outbound

This paper cites Logic tensor networks.

Defining neurosymbolic AI Logic tensor networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:41.932544Z digest=sha256:71dc2997bf2173016ab43528bfe7caab593ddb75229a372caa09562420e57034

Observation 0184c1df-c18b-4b61-8495-eb4cf3676154 · outbound

This paper cites Probabilistic inference in hybrid domains by weighted model integration.

Defining neurosymbolic AI Probabilistic inference in hybrid domains by weighted model integration

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5559165e-fbc5-41c8-94a9-e2940fd3d7b1 · outbound

This paper cites Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.

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

This paper cites On probabilistic inference by weighted model counting.

Defining neurosymbolic AI On probabilistic inference by weighted model counting

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7ec600cc-93dd-4cb7-bf7d-329385bda3e3 · outbound

This paper cites Probabilistic circuits: A unifying framework for tractable probabilistic models.

Defining neurosymbolic AI Probabilistic circuits: A unifying framework for tractable probabilistic models

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d7441ada-08f0-4156-9de5-714c911ea1ae · outbound

This paper cites Theory of capacities.

Defining neurosymbolic AI Theory of capacities

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 93df62d6-4e15-4c28-9861-d608be65b7ed · outbound

This paper cites Tensorlog: A probabilistic database implemented using deep-learning infrastructure.

Defining neurosymbolic AI Tensorlog: A probabilistic database implemented using deep-learning infrastructure

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 999f08ab-2a3e-4e49-990b-b059b9e30be6 · outbound

This paper cites A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks.

Defining neurosymbolic AI A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0d6ad5e8-144d-41f8-814c-0967323ab77f · outbound

This paper cites d'Avila Garcez, Marco Gori, Lu \' s C.

Defining neurosymbolic AI d'Avila Garcez, Marco Gori, Lu \' s C

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9dc144ce-5b71-417c-876f-1b5568f11805 · outbound

This paper cites Compositional approach to translate ltlf/ldlf into deterministic finite automata.

Defining neurosymbolic AI Compositional approach to translate ltlf/ldlf into deterministic finite automata

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8c614a8e-3300-40ce-afb0-d22f65ac2179 · outbound

This paper cites Linear temporal logic and linear dynamic logic on finite traces.

Defining neurosymbolic AI Linear temporal logic and linear dynamic logic on finite traces

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2e457aea-d401-4980-80a9-bac37118543f · outbound

This paper cites Statistical Relational Artificial Intelligence: Logic, Probability, and Computation.

Defining neurosymbolic AI Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a1572d7-7f71-4466-a8e9-5e7cb6df0f8f · outbound

This paper cites From statistical relational to neuro-symbolic artificial intelligence.

Defining neurosymbolic AI From statistical relational to neuro-symbolic artificial intelligence

Reference 21

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c82efb0c-d866-48ea-bd5b-fa0e8340e241 · outbound

This paper cites Neural probabilistic logic programming in discrete-continuous domains.

Defining neurosymbolic AI Neural probabilistic logic programming in discrete-continuous domains

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8d268ea1-77e8-4d13-93f5-729536735b2d · outbound

This paper cites Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs.

Defining neurosymbolic AI Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs

Reference 23

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Observation 82e297e1-8d19-4f7c-ad7f-68456bd85e72 · outbound

This paper cites Semantic-based regularization for learning and inference.

Defining neurosymbolic AI Semantic-based regularization for learning and inference

Reference 24

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c647f371-5e05-410e-897a-c7daf3d4a0aa · outbound

This paper cites Neural logic machines.

Defining neurosymbolic AI Neural logic machines

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b016cd7f-47d0-4b5e-a96a-6c45d5877c6d · outbound

This paper cites Declarative probabilistic logic programming in discrete-continuous domains.

Defining neurosymbolic AI Declarative probabilistic logic programming in discrete-continuous domains

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d445da21-dfad-4579-beb4-bbf8952e8723 · outbound

This paper cites A brief overview of possibilistic logic.

Defining neurosymbolic AI A brief overview of possibilistic logic

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 703e6610-e828-4229-a63a-395180e6013c · outbound

This paper cites Dl2: training and querying neural networks with logic.

Defining neurosymbolic AI Dl2: training and querying neural networks with logic

Reference 28

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Observation f2317cff-93c5-437a-bfa5-32b492c6a4f4 · outbound

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Defining neurosymbolic AI Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d76bda30-c907-4e04-92c5-524c03c71b6e · outbound

This paper cites Neural-symbolic learning and reasoning: a survey and interpretation.

Defining neurosymbolic AI Neural-symbolic learning and reasoning: a survey and interpretation

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1a28ccd2-f05c-4464-a331-9b7a9fa09974 · outbound

This paper cites The stable model semantics for logic programming.

Defining neurosymbolic AI The stable model semantics for logic programming

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4fe4e327-6277-440a-aaff-584385a80304 · outbound

This paper cites Theory of t-norms and fuzzy inference methods.

Defining neurosymbolic AI Theory of t-norms and fuzzy inference methods

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b9aaa819-3c5b-44e0-a075-d6ba9b976263 · outbound

This paper cites Kamruzzaman Sarker, editors.

Defining neurosymbolic AI Kamruzzaman Sarker, editors

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 134f4b46-5670-434e-bee4-9a622b22eebd · outbound

This paper cites Toward a broad AI.

Defining neurosymbolic AI Toward a broad AI

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation adaa11dc-7948-4966-9f23-cdeb9b4daee0 · outbound

This paper cites Valid text-to-sql generation with unification-based deepstochlog.

Defining neurosymbolic AI Valid text-to-sql generation with unification-based deepstochlog

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d48581d6-a90c-42b8-bf16-489ace6686fc · outbound

This paper cites an unresolved cited work.

Defining neurosymbolic AI Unresolved cited work

Reference 36

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:44.654500Z digest=sha256:5af234219df8772591709dcc23a9f242dedbdb90da8562e45d115bce2ba3a5be

Observation e2475e29-e02e-4a89-9c60-bc7bbb43209e · outbound

This paper cites Algebraic model counting.

Defining neurosymbolic AI Algebraic model counting

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:44.725089Z digest=sha256:fc35dadc115fd2cde111f9576fb0bb8ddbbbdf0b3eb8b9dc0087161ac9a1d16b

Observation 67d903bb-6eb2-4605-9623-554e9c64050c · outbound

This paper cites Inductive Learning of Answer Set Programs from Noisy Examples.

Defining neurosymbolic AI Inductive Learning of Answer Set Programs from Noisy Examples

Reference 38

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no resolver link, observed 2026-08-06T17:22:44.862285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:44.862285Z digest=sha256:0e4dd5114c2606b12eec49823a981fe8586c99f3107d2ba07c06a40a4d84c02e

Observation 8dcfef2a-6a97-4296-8224-c28fc1163199 · outbound

This paper cites Scallop: A language for neurosymbolic programming.

Defining neurosymbolic AI Scallop: A language for neurosymbolic programming

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:54.774794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:44.970933Z digest=sha256:07273528bdebef6b87978ad8f7ce855fe474f96d6eada9a119b2dc0761b781b5

Observation 69b40b01-0d16-44db-802f-3db87411525c · outbound

This paper cites Investigations into the sentential calculus.

Defining neurosymbolic AI Investigations into the sentential calculus

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:54.608878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:45.068030Z digest=sha256:629f949a7450805c18e35d1defbf145daaf5aa14baf2569194907605d8a1e6f9

Observation f1056652-834b-4dbe-a7d9-1249912ddeab · outbound

This paper cites Soft-unification in deep probabilistic logic.

Defining neurosymbolic AI Soft-unification in deep probabilistic logic

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:54.444600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:45.153980Z digest=sha256:8ec5e9fa3b08ca665d0d22c2002b0d6d3fea6980604fc2996f3885b308ddae1f

Observation 324f1d2c-f0b3-434c-a804-0518873508f2 · outbound

This paper cites NeSyA: Neurosymbolic Automata.

Defining neurosymbolic AI NeSyA: Neurosymbolic Automata

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:45.283421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:45.283421Z digest=sha256:8d1d26f7a8f147d749315e39f2d7917ec75850ff20e080af90d7919101dad147

Observation 5c6d1f21-3cc0-44a9-b265-8010911fa6cd · outbound

This paper cites DeepProbLog: neural probabilistic logic programming.

Defining neurosymbolic AI DeepProbLog: neural probabilistic logic programming

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:54.263170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:45.404334Z digest=sha256:09d54c49fbda00487285c536c79d47f2c4100b61cc40ee3387a42e0b73644237

Observation 08008f43-27da-4276-92a6-c3b974622f79 · outbound

This paper cites Neural probabilistic logic programming in DeepProbLog.

Defining neurosymbolic AI Neural probabilistic logic programming in DeepProbLog

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:45.735886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:45.735886Z digest=sha256:7d2752fa9f300ed102552c580f364f1ec86cb3130026876e3b45f80e6a7d6bc1

Observation c162a277-0245-415d-9c59-f1990a648a7a · outbound

This paper cites Neural markov logic networks.

Defining neurosymbolic AI Neural markov logic networks

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:54.119905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.266292Z digest=sha256:f1c1aa6355cb03c6ae10d88120fc2493ca1f9d68d435d58e7f683d004d002313

Observation aaee2d1d-c403-48f9-98ef-b8b503a38134 · outbound

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

Defining neurosymbolic AI Integrating learning and reasoning with deep logic models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.938032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.318134Z digest=sha256:8ee3086af90751bed6527ced36a7bbb55eeb0cb0b8881a8a7f10d7aeb2a50b97

Observation efaee393-6982-4bfd-920e-a62ebf3acca8 · outbound

This paper cites From statistical relational to neurosymbolic artificial intelligence: A survey.

Defining neurosymbolic AI From statistical relational to neurosymbolic artificial intelligence: A survey

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.761630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.351865Z digest=sha256:d4d1c279db93d8c7981b2d543dadbb2f6a9b03e59154e2827586e971cb5b7825

Observation 7c638063-4ce9-4694-8611-7d6aeb281fdb · outbound

This paper cites A semantic framework for neurosymbolic computation.

Defining neurosymbolic AI A semantic framework for neurosymbolic computation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.549451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.400468Z digest=sha256:cfd614aca62448c55def44d4d2dc087b82373a98ca612c75f243984a38225ce5

Observation 1808f4d4-2b1d-4809-9079-da4cbc9a8007 · outbound

This paper cites NeuPSL: Neural Probabilistic Soft Logic.

Defining neurosymbolic AI NeuPSL: Neural Probabilistic Soft Logic

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:46.451091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:46.451091Z digest=sha256:40bfdded52929f93fd0f78ce08b040a4f692232c160d32a1d0dc7c79f6fdd1eb

Observation 269b06c3-c739-4f3d-9cfa-aef97ab33236 · outbound

This paper cites End-to-end differentiable proving.

Defining neurosymbolic AI End-to-end differentiable proving

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.376685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.501164Z digest=sha256:caa2dc1e136653cdae818fbf070c6decc9a8b73efd1a66ad48a38a2d650e5661

Observation 57828cef-169b-441c-9c47-2fe57190bd52 · outbound

This paper cites On the semantics of fuzzy logic.

Defining neurosymbolic AI On the semantics of fuzzy logic

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.179154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.555322Z digest=sha256:a1f935eee2a54d815b7abca199ee4af5eee6695ba9de6dce1836b7db5b85afde

Observation 3b9c7264-5890-414c-8b38-13c9c976826b · outbound

This paper cites Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge.

Defining neurosymbolic AI Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:46.615198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:46.615198Z digest=sha256:6a88702822d2f8a384ce2f4c16088370df1e8ec2845c8aa129a0203765905027

Observation 3e75a9ab-6a17-4b1a-8e99-5c339eafad9a · outbound

This paper cites Conditional sum-product networks: Imposing structure on deep probabilistic architectures.

Defining neurosymbolic AI Conditional sum-product networks: Imposing structure on deep probabilistic architectures

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:53.048215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.704879Z digest=sha256:c36b337335ff956925d87a1950691a1d31f190f8206be086d4ce297fb2c42870

Observation 241a3c7c-b21a-4bfd-bd5a-538147f060ab · outbound

This paper cites ilp: thinking visual scenes as differentiable logic programs.

Defining neurosymbolic AI ilp: thinking visual scenes as differentiable logic programs

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:52.879283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.765721Z digest=sha256:97e7efa83f104246c8481d5716fd2c18170707863fcc60ca50fb7c43ce099778

Observation e2a29ef5-e643-4f6b-b2ae-57214362443e · outbound

This paper cites Neural-Probabilistic Answer Set Programming.

Defining neurosymbolic AI Neural-Probabilistic Answer Set Programming

Reference 55

Resolution
verified exact
doi, observed 2026-08-06T17:22:48.171003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.810648Z digest=sha256:14dfc3c0f12914691e285c2c6a4e06f61ac23f36fed837a7c85feedc9398f257

Observation 323cc8b0-f385-46a8-b0e8-51287ffbeeaf · outbound

This paper cites Logic of differentiable logics: Towards a uniform semantics of dl.

Defining neurosymbolic AI Logic of differentiable logics: Towards a uniform semantics of dl

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:52.676919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.867650Z digest=sha256:8d6da28bc897fcc87f5bda25ab3848209e44e6a6c77fa0a339bf51e8bf51d921

Observation f438d68b-893a-42d4-a89e-ee6019376e2a · outbound

This paper cites Lifted relational neural networks: Efficient learning of latent relational structures.

Defining neurosymbolic AI Lifted relational neural networks: Efficient learning of latent relational structures

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:52.509958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:46.947100Z digest=sha256:7d88b623bdfc1c5d931c4ed02d149eb1a04f9d7121551c7f0f15e85103c5cd7c

Observation c9bc8a5b-b4f1-4c51-a269-9426798e66d5 · outbound

This paper cites Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints.

Defining neurosymbolic AI Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:52.329064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.030133Z digest=sha256:2faf62a3e9eeaf1cb18cb485e8565182804fe989c46e7beda3dedf8075ec33d5

Observation 1849b614-9345-4edf-a4fd-c2f20fe73785 · outbound

This paper cites Fuzzy measure and fuzzy integral.

Defining neurosymbolic AI Fuzzy measure and fuzzy integral

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:52.142755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.086731Z digest=sha256:2f847b942f1fcb7ad70034c4d8852281dc9f6c5d1a9b710a59fed55ab7a7ca29

Observation 35cdf309-a32a-4f99-8cce-8057d699656f · outbound

This paper cites Neurosymbolic motion and task planning for linear temporal logic tasks.

Defining neurosymbolic AI Neurosymbolic motion and task planning for linear temporal logic tasks

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:51.934987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.136987Z digest=sha256:733c3ef75c2dea83ae242b17e970980ae73ef8d3199fa189bf53b0363a4c43f9

Observation e3d9979c-b705-43d1-883c-88a959278577 · outbound

This paper cites Neural-symbolic integration: A compositional perspective.

Defining neurosymbolic AI Neural-symbolic integration: A compositional perspective

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:51.681137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.190415Z digest=sha256:b78182b6310faf76cd3268f4b05b9277d256430edf282ec17ad5796732968854

Observation 780f8ed1-8714-42e9-a61a-ac852ecf6761 · outbound

This paper cites Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases.

Defining neurosymbolic AI Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:47.221903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:47.221903Z digest=sha256:019e5381f0fb6673fec6d893e7a5f2ef476304d26e5a1247df78098853663156

Observation 8e1c5c30-b4b6-4e7c-8a01-eb792ab135aa · outbound

This paper cites A boxology of design patterns for hybrid learning and reasoning systems.

Defining neurosymbolic AI A boxology of design patterns for hybrid learning and reasoning systems

Reference 63

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:22:48.761788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.327558Z digest=sha256:12af4b2315c6d3d5ef40078a6aa2216b4f923d069618f202c13a0b8b3d9891d6

Observation 89729870-8b52-4b5a-8746-f094958b08bd · outbound

This paper cites Uller: A unified language for learning and reasoning.

Defining neurosymbolic AI Uller: A unified language for learning and reasoning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:51.393276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.399695Z digest=sha256:539423d4594bb458d1d4ed00d6f4b28c2eeccc1e8f7f0b90e1472160541d3482

Observation 9d32828f-a08f-426e-a018-ca2f29442e3e · outbound

This paper cites An automata-theoretic approach to linear temporal logic.

Defining neurosymbolic AI An automata-theoretic approach to linear temporal logic

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:51.012416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.439870Z digest=sha256:1b0ed4bfd17d9099d51b87225576a2ddabe3e2de487fbb2889b61e97f19d34ba

Observation a0f3bb97-fdc7-4641-9316-4bcda85afaff · outbound

This paper cites Generalized measure theory, volume 25.

Defining neurosymbolic AI Generalized measure theory, volume 25

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:50.724651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.499495Z digest=sha256:edbed0b59800185ff66ccbff1e4a6494946bff283c5c6ae3c9dff55b40fc363e

Observation 84083e42-7703-4df3-93c4-2c30f36523c8 · outbound

This paper cites u nchmeyer, Ulf Leser, and Tim Rockt \.

Defining neurosymbolic AI u nchmeyer, Ulf Leser, and Tim Rockt \

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:47.550544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:47.550544Z digest=sha256:c1101549a02703285d3566965c2e32621f1879172c693774f8add1882d424c47

Observation e67bfba9-0093-4115-a1cb-78445031e5d9 · outbound

This paper cites DeepStochLog: neural stochastic logic programming.

Defining neurosymbolic AI DeepStochLog: neural stochastic logic programming

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:50.380991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.600200Z digest=sha256:d81c68f14ec6827fc65f8c8b5688ae00f3b908fb9d1e93a5ac6054a8ec0edb7c

Observation 57bb11f6-eaaa-4d8c-a191-a473ae8bc4e4 · outbound

This paper cites Deepstochlog: Neural stochastic logic programming.

Defining neurosymbolic AI Deepstochlog: Neural stochastic logic programming

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:50.111274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.706840Z digest=sha256:594d91c9eacc7a74bc1e0acdfd720a0ff91db2196a5a25cd0133f9047b98e161

Observation 50f93245-cd1c-4c84-bd83-99111bb07174 · outbound

This paper cites A semantic loss function for deep learning with symbolic knowledge.

Defining neurosymbolic AI A semantic loss function for deep learning with symbolic knowledge

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.986470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.757269Z digest=sha256:6205de1b37c3fcbb3fcb022e34908fe848669e10d7e84dc29fe32712f09db150

Observation 2c095b42-7fa1-478d-be5f-e2515155048b · outbound

This paper cites Differentiable learning of logical rules for knowledge base reasoning.

Defining neurosymbolic AI Differentiable learning of logical rules for knowledge base reasoning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.864429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.788231Z digest=sha256:989d47f71f0adce942ab87a6621f9d7a4ce7f75a67a437a7f9aac6179eefd6ee

Observation 9f2fd64b-eecf-47a7-9ed3-eea73e2d1172 · outbound

This paper cites Safe reinforcement learning via probabilistic logic shields.

Defining neurosymbolic AI Safe reinforcement learning via probabilistic logic shields

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.742145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.838629Z digest=sha256:e12810799b8f3cde11540302714a7cbdb52ef42e407ff479da10e25e54a804f6

Observation 35fefbe1-694d-4de6-ae5c-a81f48242474 · outbound

This paper cites NeurASP: embracing neural networks into answer set programming.

Defining neurosymbolic AI NeurASP: embracing neural networks into answer set programming

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.581419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.859977Z digest=sha256:2a1796c84f0cd2cee4bf8f88e82aa4b0eb20164ed933877559f94978ab183ff2

Observation 8731fc61-48ba-4f0c-b2b4-3d705c27db20 · outbound

This paper cites Fuzzy sets.

Defining neurosymbolic AI Fuzzy sets

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.441223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:47.983544Z digest=sha256:659cb6c520b664cd542b9f6562ae5b32070886a5b5dc8e656f9ae68bf7baae80

Observation fe402209-51ee-4420-ad86-ad8c3c113372 · outbound

This paper cites Fuzzy sets as a basis for a theory of possibility.

Defining neurosymbolic AI Fuzzy sets as a basis for a theory of possibility

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:22:49.283999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:22:48.045806Z digest=sha256:325be85bf44b7e76177035c2b1edc414f6f4415249aaadded40aa4720dd4c9be

Pith citing papers

Observation 7e4006f2-a097-4dc8-9d75-baffc844369b · inbound

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design cites this paper.

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design Defining neurosymbolic AI

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T07:59:21.925661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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A Sugeno Integral View of Binarized Neural Network Inference cites this paper.

A Sugeno Integral View of Binarized Neural Network Inference Defining neurosymbolic AI

Reference 33

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arxiv_id, observed 2026-05-10T05:20:54.090140Z

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Observation 630afc2b-fc56-4cea-ab70-c966a75a3b95 · inbound

DeepLog: A Software Framework for Modular Neurosymbolic AI cites this paper.

DeepLog: A Software Framework for Modular Neurosymbolic AI Defining neurosymbolic AI

Reference 15

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arxiv_id, observed 2026-05-12T05:51:24.290114Z

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Observation d02814a7-db9e-4781-8928-479ea7135c4d · inbound

A Neurosymbolic Prolog Skill for LLM-Driven Service Placement cites this paper.

A Neurosymbolic Prolog Skill for LLM-Driven Service Placement Defining neurosymbolic AI

Reference 12

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Observation 71f4da92-b4df-4962-ae40-0e3a57615d84 · inbound

From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How cites this paper.

From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How Defining neurosymbolic AI

Reference 30

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