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Paper Citation Record · LEDGER

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

As of 9 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2603.02510.

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

pith.paper-citation-record.v1
2603.02510 v2

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:27:35.905532Z

measured 6 of 6 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eec47465-93d7-4090-ace1-db305bc57808 · outbound

This paper cites an unresolved cited work.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.900248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.900248Z digest=sha256:542d6bf9feb38d2fbc3ea4b84efcc67fabd0698094057c592716d55e35c806b1

Observation 021d37dc-6b25-4624-835c-a290a7e1fbee · outbound

This paper cites common/graph.h.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution common/graph.h

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.905532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.905532Z digest=sha256:1efb9bf5e44c779099ce08060e4dbd60678f6fb1ef70723104d0f1042c57d766

Observation 66abf455-81ee-4e40-99ed-789e785462bc · outbound

This paper cites confident hallucinations.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution confident hallucinations

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.894384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.894384Z digest=sha256:75a3fc88bb497bf9237294d5781dd508a39536a2efb9cf5f37464d831705d8f2

Observation 192e7d9e-e595-468a-a600-078c6854aa3f · outbound

This paper cites Anderson, D., Blelloch, G.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution Anderson, D., Blelloch, G

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.878267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.878267Z digest=sha256:cfc578a95e9b9845ce6d4fee019b1297323186d943bf6eaeec52abe6af4809f1

Observation 63ce1b29-3b42-47d7-9ac3-da77138d62bc · outbound

This paper cites Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.889180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.889180Z digest=sha256:7b87ca321f563cf413ff672f61a82ecb79a97db5ac23339193f2c740a5d580dc

Observation 03e7f01d-a671-4405-8233-48fa903c6bb2 · outbound

This paper cites An AI system to help scientists write expert-level empirical software.

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution An AI system to help scientists write expert-level empirical software

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T19:27:35.883649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:27:35.883649Z digest=sha256:0913b8f2d24820224dbc0e8b186edce06a518b7c97533d267955cedfea4b9f1a

Pith citing papers

No inbound Pith citation observations are available.