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Paper Citation Record · LEDGER

Dimensions of Neural-symbolic Integration - A Structured Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:cs/0511042.

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

pith.paper-citation-record.v1
cs/0511042 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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:22:41.837083Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-18T18:06:43.056883Z

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 b481df85-4953-453a-a205-260c2a433e9a · inbound

Defining neurosymbolic AI cites this paper.

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

Reference 8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:22:41.837083Z digest=sha256:35c4dcf939fe132663778198695ef871b4b6051b3841ec080b1a47d4ef6678e5

Observation d47d0296-107e-432c-841d-7af9c699d243 · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities Dimensions of Neural-symbolic Integration - A Structured Survey

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:06:43.059516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T18:04:09.528381Z digest=sha256:68b85eba7bf6b9306c2ea5e112eec6df8c1ff7eb672b631036e12a966aaaa7d2

Observation afd8a1d1-be48-43e3-af9a-c9f1f23571ee · 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 Dimensions of Neural-symbolic Integration - A Structured Survey

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:46:35.768277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-15T20:45:16.240104Z digest=sha256:61bd53eca1b7e063299c618a29453b1318966ad7bdbda1431182d28d6b966855

Observation 3836952d-dd33-4fa4-991a-5211ff5ffe43 · 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 Dimensions of Neural-symbolic Integration - A Structured Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T22:28:38.394285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:28:38.394285Z digest=sha256:b3421a9c48673d944fece9bb6b70c6eb74687198e12b65cce7cf6f3280c22a8f

Observation b82dca4f-8ba0-4a83-ae01-4ae2c733bd29 · 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 Dimensions of Neural-symbolic Integration - A Structured Survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:58.613838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:29:58.613838Z digest=sha256:937f100b24065aa4ead8657a93d44b8a7208e83c671fadc429a7681479e028c7