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Paper Citation Record · LEDGER

LTNtorch: PyTorch Implementation of Logic Tensor Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16045.

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

pith.paper-citation-record.v1
2409.16045 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:36:02.662020Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T12:53:17.526538Z

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 d586f189-4779-4fac-bbf7-12b39faf9572 · inbound

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models cites this paper.

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models LTNtorch: PyTorch Implementation of Logic Tensor Networks

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:53:17.528220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T12:52:08.265281Z digest=sha256:3c16c880e01db904f09112ce9acef69c4f4c63b63632738356560011e970d6db

Observation 03fd81df-8bef-4866-8fe5-8b6a243b45ac · inbound

sLTN: Structural Logic Tensor Networks cites this paper.

sLTN: Structural Logic Tensor Networks LTNtorch: PyTorch Implementation of Logic Tensor Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:36:02.662020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:36:02.662020Z digest=sha256:4ef09451174a6368b232375a2db33563eba6bd8bad2746ca58b9aac3d6fe65d5