Pith. sign in

Paper Citation Record · LEDGER

Towards Semantics Lifting for Scientific Computing: A Case Study on FFT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09201.

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

pith.paper-citation-record.v1
2501.09201 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:44:49.902383Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:16:26.335917Z

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 54262767-080e-4941-a5d8-9b6c08df313b · inbound

Aligning Requirement for Large Language Model's Code Generation cites this paper.

Aligning Requirement for Large Language Model's Code Generation Towards Semantics Lifting for Scientific Computing: A Case Study on FFT

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T12:44:49.902383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:44:49.902383Z digest=sha256:e505bf189c74343515bd1d91536d77852f5ffae03b482509c88e94c68eac6ea3

Observation 6670e63d-9671-4c8d-9767-bf7981bc9be6 · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Towards Semantics Lifting for Scientific Computing: A Case Study on FFT

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:16:26.341666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:05:24.395798Z digest=sha256:f190d9eeda9f70b63e2aee4d5476823fa9785172d13f44845ddbc47e68756eeb

Observation 08ad5bc2-02a8-43d0-8cd3-f1871801b82b · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Towards Semantics Lifting for Scientific Computing: A Case Study on FFT

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T05:26:36.117107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:26:36.117107Z digest=sha256:cada501a94f849b0bb5f73ccf0dc9cd7d77072447c98ead3a898e8f0195ab2de