Paper Citation Record · LEDGER

Verification and Validation for Trustworthy Scientific Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.15496.

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

pith.paper-citation-record.v1
2502.15496 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:48:40.096807Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c94529e-0b07-4169-a14e-40433da8d6a8 · inbound

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators cites this paper.

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators Verification and Validation for Trustworthy Scientific Machine Learning

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:11:12.898535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd8fba38-beb3-452c-9dc2-cbccc0dd0461 · inbound

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability cites this paper.

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability Verification and Validation for Trustworthy Scientific Machine Learning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:07:48.821139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 92d036a8-4688-4a20-88d9-5c87f7b70005 · inbound

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability cites this paper.

Bridging the Gap on AI-Assisted Scientific Software Development Through Transparency and Traceability Verification and Validation for Trustworthy Scientific Machine Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T13:48:40.096807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc0f237-c5a2-46c9-ba1f-9e5a4a7cc9c3 · inbound

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing cites this paper.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Verification and Validation for Trustworthy Scientific Machine Learning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-01T15:54:01.500239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.