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Paper Citation Record · LEDGER

Large Language Models Are Neurosymbolic Reasoners

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.09334.

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

pith.paper-citation-record.v1
2401.09334 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:41.800046Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:18:26.387734Z

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 fa809c69-ded9-4284-90b5-149972978f38 · inbound

Neuro-Symbolic AI in 2024: A Systematic Review cites this paper.

Neuro-Symbolic AI in 2024: A Systematic Review Large Language Models Are Neurosymbolic Reasoners

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T21:16:56.231362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:56.231362Z digest=sha256:f568be22afa9ea1115a9a1ef46855ae448c47a0111a8f0fb607279592478ce23

Observation 96ac6684-00c6-4070-9c37-3faa5a4917ac · inbound

Monte Carlo Planning with Large Language Model for Text-Based Game Agents cites this paper.

Monte Carlo Planning with Large Language Model for Text-Based Game Agents Large Language Models Are Neurosymbolic Reasoners

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T10:58:41.800046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:58:41.800046Z digest=sha256:4c944a0c4ce1f6125b35be8f8063b5c5bfdfadfb11586881e67f77ede31bf8e0

Observation a8232a67-97d4-4b34-9d55-ca8544d1aaaf · inbound

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis cites this paper.

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis Large Language Models Are Neurosymbolic Reasoners

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:18:26.442389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T16:18:22.302331Z digest=sha256:f43ab65061e81c03ba9a298c54239cff73ae11cd58899ab1c1b321e9106ad134