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Paper Citation Record · LEDGER

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2411.00773.

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

pith.paper-citation-record.v1
2411.00773 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T01:20:48.271257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:36:09.505525Z

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 6762a458-3cc8-4003-85dd-9a11aee2682a · inbound

Goal-Oriented Semantic Communication for Logical Decision Making cites this paper.

Goal-Oriented Semantic Communication for Logical Decision Making LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:36:09.508234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T01:20:48.271257Z digest=sha256:e5b621ef41c7c730cc67a318cfb0a0bdd7b3e63c79ad5ef6b5a8d0a470210c10