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Paper Citation Record · LEDGER

Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.22077.

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

pith.paper-citation-record.v1
2410.22077 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 2026-08-11T06:34:44.6726+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:39:17.938080Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation deffdef0-f509-4707-8380-a39047c49369 · inbound

Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda cites this paper.

Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:17.938080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:17.938080Z digest=sha256:2a19c4977da0327f095d2e74675877e4c278933a09dfc10b219d2805ee1cad0a

Observation 7d6ec6a4-25b4-490a-8c85-0bed517083bb · inbound

Neurosymbolic Reasoning Shortcuts under the Independence Assumption cites this paper.

Neurosymbolic Reasoning Shortcuts under the Independence Assumption Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:24:48.928112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:24:48.928112Z digest=sha256:c9b5ff3e054d60e7b615682eeb9c2c5009574c372eb9d666701260d75d25cb24

Observation 918edc24-f56e-4ddf-95ba-028153ae65eb · inbound

Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems cites this paper.

Grounding vs. Compositionality: On the Non-Complementarity of Reasoning in Neuro-Symbolic Systems Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:16:26.669761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T11:44:27.736033Z digest=sha256:10b374309dffc0742d1add9b97f3b11326445c4ff063f323a88380db80ececf5

Observation bb0ca5a1-f50d-42d2-b7bd-d9bd928e02cd · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.202601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T17:29:39.346689Z digest=sha256:f9d949cd808ddd22841c59013f2aace34e544c2ec76e8c6200a04fc674a0c628

Observation b89cfd82-9efb-49ff-8ea5-be2e63f19f2e · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.215482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-15T05:40:16.030363Z digest=sha256:4910c56163dc9ff9a43be3c5d9226e0793c20abc47c7d47c522a66b38126ff49