Paper Citation Record · LEDGER

NeurASP: Embracing Neural Networks into Answer Set Programming

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.07700.

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

pith.paper-citation-record.v1
2307.07700 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:17.518402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:24.292614Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 604c28dd-b66f-4946-a48a-11348f9b4c07 · inbound

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs cites this paper.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T11:09:17.518402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de020dd-6761-4242-a0c0-98dc371e8dcd · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-10T16:30:41.953603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34bb2909-693a-4995-a6eb-41d223978ee7 · inbound

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

DeepLog: A Software Framework for Modular Neurosymbolic AI NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:24.299689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b77608e-0c8b-492b-995c-f078053339e1 · inbound

SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data cites this paper.

SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T09:59:08.626059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5465f8e-efa0-4409-a1df-91c965fcd778 · inbound

A Fuzzy Rule-based Neuro-Symbolic Approach for Pipe Severity Prediction in Sewer Networks cites this paper.

A Fuzzy Rule-based Neuro-Symbolic Approach for Pipe Severity Prediction in Sewer Networks NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T06:00:23.116955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.