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Paper Citation Record · LEDGER

Neuro-Symbolic Artificial Intelligence: Current Trends

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.05330.

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

pith.paper-citation-record.v1
2105.05330 v2

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 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:20:50.584744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:44:38.711953Z

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 e048eeff-7bb9-4281-8d7e-a35495b54edc · inbound

On LLM-generated Logic Programs and their Inference Execution Methods cites this paper.

On LLM-generated Logic Programs and their Inference Execution Methods Neuro-Symbolic Artificial Intelligence: Current Trends

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T22:20:50.584744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:20:50.584744Z digest=sha256:f40dc10f90f4a9c526f7f573ba4769829acbaca60be55aa7762d5184041a5acc

Observation bc1c0b1d-e8a5-47ae-92b0-6d2cec0ce975 · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Neuro-Symbolic Artificial Intelligence: Current Trends

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:35.771346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T20:45:16.240104Z digest=sha256:a791066c2110ee5cd636c5d3209915fd103ccae0206cb4293c5fe675032db933

Observation 6e21b5e7-487d-4fc8-abce-680a2210c6c1 · inbound

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions cites this paper.

Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions Neuro-Symbolic Artificial Intelligence: Current Trends

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T22:28:38.539194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:28:38.539194Z digest=sha256:be0861d334e90c022bd3488d0481edacda14f1fb68221b97f960ccb2e68a0ab4

Observation d6a340cb-79bc-447f-986a-800b04f546ba · inbound

Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience cites this paper.

Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience Neuro-Symbolic Artificial Intelligence: Current Trends

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:44:38.713647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-30T11:36:03.804989Z digest=sha256:56be95a5ab71e7f4e730a35562f4797cc79d760740ffa666e2df71c958cb1050

Observation b1ca2cb0-6f4e-49e2-8ab2-db8c29360a5b · 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 Neuro-Symbolic Artificial Intelligence: Current Trends

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-31T06:00:23.001375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:00:23.001375Z digest=sha256:ff63bf0f61a1f7e28f76b06469c0218e3bf38915c47988c68ea5ada1007095d5