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Paper Citation Record · LEDGER

MLGO: a Machine Learning Guided Compiler Optimizations Framework

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2101.04808.

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

pith.paper-citation-record.v1
2101.04808 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:55:34.684496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:19:34.879431Z

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 9685de51-562e-4fce-8b8a-ee0a4bb2306c · inbound

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch cites this paper.

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T11:24:29.135197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:24:29.135197Z digest=sha256:3de3ad8f709c727d53a6e893d6ec6afb7316c46b44effc5f5788d305ac2ade95

Observation da446b44-ac62-42b7-9426-0a7cca13ef25 · inbound

A Research Agenda for Usability and Generalisation in Reinforcement Learning cites this paper.

A Research Agenda for Usability and Generalisation in Reinforcement Learning MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:48.833163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:58:48.833163Z digest=sha256:c8b114635eecbc5b1a2f210520530e5e3c742c0c91d6ba93963fc80c7c8697d3

Observation e05cd60e-b25f-4e22-8bdd-eeb4af2c98af · inbound

Language Models for Code Optimization: Survey, Challenges and Future Directions cites this paper.

Language Models for Code Optimization: Survey, Challenges and Future Directions MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:34.843388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:34.843388Z digest=sha256:f84e89a6c511bfdc0ca5ad9e94366f75c1080d05251e39ed6ff750bee10c419f

Observation 1fb413cb-f04a-4d66-82b0-faac2c257159 · inbound

GroupTuner: Efficient Group-Aware Compiler Auto-Tuning cites this paper.

GroupTuner: Efficient Group-Aware Compiler Auto-Tuning MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T21:55:34.684496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:55:34.684496Z digest=sha256:2349b950cf0e160d70579d089866c57448874c268f09782e997c6025f4178069

Observation 409b5751-bb98-468a-b4ca-4f6adb206f6a · inbound

Agentic Harness for Real-World Compilers cites this paper.

Agentic Harness for Real-World Compilers MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-03T02:35:32.035728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:35:32.035728Z digest=sha256:52c49bb85973cea0431afd5ae151fe36143b067416a84f8ecddba41598dead6a

Observation 06409774-7c02-4677-aa7d-7263a348f4d5 · inbound

AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve cites this paper.

AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:03:31.925524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T06:05:00.849044Z digest=sha256:c77e201f565b84865128c71741f0e1f3530240daac7d09c86d40c32723fa0f08

Observation a4341cf8-a784-4210-8c0f-38f6459cbbd8 · inbound

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning cites this paper.

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:19:34.881393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T16:10:14.144156Z digest=sha256:d96c5db5fd0bec0798d6814b3893d10f8349acbf494df3d7fc2686e61873f08a

Observation 4922a27f-7128-47c7-9b30-66c38b8b3737 · inbound

WarmTuner: Program-Specific Warm Starts for Compiler Autotuning via Offline-to-Online Reinforcement Learning cites this paper.

WarmTuner: Program-Specific Warm Starts for Compiler Autotuning via Offline-to-Online Reinforcement Learning MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T01:25:24.759911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:25:24.759911Z digest=sha256:dee424d3ab88336dacefca55c7b2f45cc70605aa2c05b9074d6be3b174165a8b

Observation 62d6bd44-6c80-45ee-a2ae-e4946ceb2d04 · inbound

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? cites this paper.

Can Large Language Models Recover Semantic Optimization Opportunities That Compilers Miss? MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T04:38:11.214987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:38:11.214987Z digest=sha256:d24a8f9d1d2e75f240599316b9058773117af717259d115865c636de17ea76de

Observation 26fb685d-ce5b-4113-a532-dc1e714341b1 · inbound

Accelerating C/C++ Pointer Analysis via Compiler-Based Offline Simplifications cites this paper.

Accelerating C/C++ Pointer Analysis via Compiler-Based Offline Simplifications MLGO: a Machine Learning Guided Compiler Optimizations Framework

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T14:43:08.864110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:43:08.864110Z digest=sha256:418c5894561e811ecbfdb71e75db37e445a4141f1e5a17d8609bc773e7a275b8