Paper Citation Record · LEDGER

Omniwise: Predicting GPU Kernels Performance with LLMs

As of 7 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.20886.

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

pith.paper-citation-record.v1
2506.20886 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:18.793454Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:49:48.027979Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact2
verified fuzzy1
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7b23720-4158-4447-81d2-111b0a8972d5 · outbound

This paper cites GPT-4 Technical Report.

Omniwise: Predicting GPU Kernels Performance with LLMs GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:17.610818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db8d5e0-d331-4525-a89a-658afcd72a7b · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.245998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bae0fe29-773b-4e2f-a63d-b33ec10361ab · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.234269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70528727-b144-4384-a764-5f87e1588791 · outbound

This paper cites Awad, Saman Ashkiani, Serban D.

Omniwise: Predicting GPU Kernels Performance with LLMs Awad, Saman Ashkiani, Serban D

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T22:46:18.916964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6522a557-a845-4ab3-9ab9-a81bc946b8aa · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.221021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11a62fd3-9618-47af-9621-1f2d1f75a3c3 · outbound

This paper cites Meta Large Language Model Compiler: Foundation Models of Compiler Optimization.

Omniwise: Predicting GPU Kernels Performance with LLMs Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.112770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345160ae-d7ce-41c1-b7d6-428ff330a1ee · outbound

This paper cites The Llama 3 Herd of Models.

Omniwise: Predicting GPU Kernels Performance with LLMs The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.198572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920cc6aa-3bd0-455a-bea6-8e36573bdeb2 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Omniwise: Predicting GPU Kernels Performance with LLMs CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.298784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de679964-3efd-49a2-b280-40d6aabb0a8c · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 9

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T22:46:19.103228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5c256d6-a413-4aee-9283-f4f94cb33079 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Omniwise: Predicting GPU Kernels Performance with LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.519337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c6a245-0b80-467d-ab15-ac4c1cb8796b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Omniwise: Predicting GPU Kernels Performance with LLMs Adam: A Method for Stochastic Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.590523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25b43556-36c7-4d7e-a4f5-913b0bb98127 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Omniwise: Predicting GPU Kernels Performance with LLMs StarCoder 2 and The Stack v2: The Next Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.667122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682c2ec3-c203-4e19-8526-685547871a3e · outbound

This paper cites Schulz, Jose Santos, Keith Lowery, Nicholas Curtis, and Cristian Di Pietrantonio.

Omniwise: Predicting GPU Kernels Performance with LLMs Schulz, Jose Santos, Keith Lowery, Nicholas Curtis, and Cristian Di Pietrantonio

Reference 13

Resolution: verified exact; doi, observed 2026-08-06T22:46:18.854801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab347d23-8fd2-476b-8d70-5e6fb67819fd · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.208071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31c78977-730e-4081-91ae-afb32f6b3297 · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.194925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15dc0a98-d584-44bb-a63c-c1018cad6cc9 · outbound

This paper cites Generalized Slow Roll for Tensors.

Omniwise: Predicting GPU Kernels Performance with LLMs Generalized Slow Roll for Tensors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.762950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39d891ef-4049-4141-bd8f-f8df8f354833 · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.766141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f8dbf1-1893-4b31-a2aa-43e29fe2b182 · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.173426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7396f10c-901e-4223-983c-f65855c2d1a3 · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.159801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ffd5c1c-d734-4553-87b0-bb746bb8004e · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.146585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70c9ef83-26de-49d6-a6d1-c4d2e29ee52d · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Omniwise: Predicting GPU Kernels Performance with LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.778447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d9c1dc-7b7b-41db-ba30-1ff0e2163340 · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:46:19.132151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d66b390-ba47-4c90-a754-7b2bbda3b352 · outbound

This paper cites Qwen2.5 Technical Report.

Omniwise: Predicting GPU Kernels Performance with LLMs Qwen2.5 Technical Report

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.787653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f179979-36b4-485f-a837-e0656e7b826f · outbound

This paper cites an unresolved cited work.

Omniwise: Predicting GPU Kernels Performance with LLMs Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.790467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b40b52-9232-4419-a28d-7de900d969ed · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Omniwise: Predicting GPU Kernels Performance with LLMs DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:46:18.793454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ccc712-ea5d-46a2-ad28-8f5eacb1a585 · outbound

This paper cites In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing.

Omniwise: Predicting GPU Kernels Performance with LLMs In Practice and Experience in Advanced Research Computing 2024: Human Powered Computing

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:46:19.119041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 8c11b90e-a308-4ac7-a717-a16ea97d961c · inbound

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters cites this paper.

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters Omniwise: Predicting GPU Kernels Performance with LLMs

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T04:49:48.027979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.