Paper Citation Record · LEDGER

Comparing differentiable logics for learning with logical constraints

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03847.

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

pith.paper-citation-record.v1
2407.03847 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:25.354595Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:46:48.079787Z

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 1928d254-77f4-4651-8a3b-62f583422c60 · inbound

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report cites this paper.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Comparing differentiable logics for learning with logical constraints

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:31:53.314848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5be9799-be5e-42d0-8afe-01f7a7e4c326 · inbound

Neural Network Verification is a Programming Language Challenge cites this paper.

Neural Network Verification is a Programming Language Challenge Comparing differentiable logics for learning with logical constraints

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:22.150261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c27ac4-9674-487d-8ddf-7e18012e8cec · inbound

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces cites this paper.

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces Comparing differentiable logics for learning with logical constraints

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:46:48.084139Z

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.

Observation d98d80f4-45a1-49e7-af4a-0897bc8623ec · inbound

Proof-Carrying Neuro-Symbolic Code cites this paper.

Proof-Carrying Neuro-Symbolic Code Comparing differentiable logics for learning with logical constraints

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:25.354595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.