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Paper Citation Record · LEDGER

Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.04147.

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

pith.paper-citation-record.v1
2111.04147 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:16.474473Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:43:36.983559Z

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 27a3f7ce-ef2a-442c-aab7-ca4e0c16324d · inbound

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge cites this paper.

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:17:16.474473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:17:16.474473Z digest=sha256:24dc79a5bc704e0edbecf1b8278427a27a1306d2bb97195a2c0e6e5e007522c4

Observation 10e5a74f-5edd-464f-a945-213f7eb85b8c · inbound

RNN Generalization to Omega-Regular Languages cites this paper.

RNN Generalization to Omega-Regular Languages Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:43:37.085202Z

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=2026-08-15T16:43:36.456067Z digest=sha256:647e59f4cfa0ceb6f2bb05cb09b60ae02bd77f82e397329a2967b230d897ee0b