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Paper Citation Record · LEDGER

DeepPERF: A Deep Learning-Based Approach For Improving Software Performance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.13619.

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

pith.paper-citation-record.v1
2206.13619 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:08.407134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T17:34:43.035785Z

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 eb542055-1c77-4c94-a55f-9bc2fbd65b35 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code DeepPERF: A Deep Learning-Based Approach For Improving Software Performance

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:34:43.037569Z

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=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:396d4aef4660b9d8e05319f471d9d3b35f22c810f514c8a727358dc828687450

Observation 05f95326-db1c-4564-8cda-147df7695cfc · inbound

COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems cites this paper.

COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems DeepPERF: A Deep Learning-Based Approach For Improving Software Performance

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:08.407134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:08.407134Z digest=sha256:83df9cf02056c1d1530089faed381d822f034fa8d329c28500ecdb824565fcb9