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Paper Citation Record · LEDGER

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software

As of 20 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2501.09872.

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

pith.paper-citation-record.v1
2501.09872 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:39:47.698493Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:18:06.308941Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:10:52.557890Z

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8fb09b5-824d-47b3-8166-4fdaa3e55525 · outbound

This paper cites Leveraging hardware probes and optimizations for accelerating fuzz testing of heterogeneous applications,.

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software Leveraging hardware probes and optimizations for accelerating fuzz testing of heterogeneous applications,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:47.690729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:39:47.690729Z digest=sha256:75373000975faab8573c2770194c533fe00fccd40a8820d2e826f3cbb77140c7

Observation ff48f228-4bdb-4ed0-8048-fbf38bfb4ffe · outbound

This paper cites A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:47.694477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:39:47.694477Z digest=sha256:fbef6942a4eb53031308270cfd7ee09a181aa29ccc72ed4eafae9ee9810f9018

Observation 6955f1c2-36f9-49c5-8f5b-0d64d74bb8de · outbound

This paper cites Kokkos: Enabling performance portabil- ity across manycore architectures,.

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software Kokkos: Enabling performance portabil- ity across manycore architectures,

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:39:47.967561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T19:39:47.698493Z digest=sha256:015f8c5992d2c7d5745079af5b5d6440154bba9f7ec5d4a6af39f18cbc2a5337

Observation bfcf83c1-69fe-4b59-8f94-df6c7145c474 · outbound

This paper cites Fuzzyflow: Leveraging dataflow to find and squash program optimization bugs,.

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software Fuzzyflow: Leveraging dataflow to find and squash program optimization bugs,

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:47.686590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:39:47.686590Z digest=sha256:08d4d5cd9d2d887f1a7b0abfac5324e290fd3d0eea3c2ce1ef5e4313f4d48f40

Pith citing papers

Observation e8aadccf-0fab-4d21-8328-3c4c7dbb76d6 · inbound

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software cites this paper.

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:10:52.564948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:18:06.308941Z digest=sha256:237fd661b145c055deff958ecd3ef3ce5fc2b4283090a102a85d172655f25eb2