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Paper Citation Record · LEDGER

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2407.02524.

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

pith.paper-citation-record.v1
2407.02524 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:19:49.449923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:19:34.895535Z

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 f6d2ce02-1498-4970-9e1a-1bfa5b0c9170 · inbound

From CISC to RISC: language-model guided assembly transpilation cites this paper.

From CISC to RISC: language-model guided assembly transpilation Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-12T13:19:49.449923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:19:49.449923Z digest=sha256:efedcbea81dcfe2b0251f5305efc0a90879b0de108f37c19f32257f415671248

Observation 2e8adb8f-152f-450c-a37a-361ad04f3806 · inbound

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

Language Models for Code Optimization: Survey, Challenges and Future Directions Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:34.347555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:34.347555Z digest=sha256:2a659e0f077a68fd1074113fa5d4722d366394b83064263165cc3ec3d1682def

Observation b96feb83-c16a-4bb2-80b8-64f7203077de · inbound

Revisiting Data Analysis with Pre-trained Foundation Models cites this paper.

Revisiting Data Analysis with Pre-trained Foundation Models Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:26:12.820402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:12.820402Z digest=sha256:cdb439d984734f0615fdb90ed851bb8484b1f26ec05d9ed88e3e4773f252fdb4

Observation 5d995292-5468-4323-a0a6-0d4995421b58 · inbound

Can Large Language Models Understand Intermediate Representations in Compilers? cites this paper.

Can Large Language Models Understand Intermediate Representations in Compilers? Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T20:20:19.610627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:20:19.610627Z digest=sha256:c82897051c802e337956bb41a934a64a19f0b16185e615cf9b734069eabfcdc9

Observation 018e08c1-22ad-4ff4-8d7a-fd6f9974485e · inbound

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution cites this paper.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:27:56.410402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:dbdbc0deff7827b57fb6004299e12f296e164f7b13745bd4a614010b4a27f86b

Observation c68f9b1a-aeef-4540-9481-05d09668007f · inbound

SysLLMatic: Large Language Models are Software System Optimizers cites this paper.

SysLLMatic: Large Language Models are Software System Optimizers Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:22:17.229343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T12:17:34.743290Z digest=sha256:3319a4bc8a7623c4d66ec79c3f9b14b49672424630242ce5b4a999bf6713490b

Observation 2b34d81a-dd7b-4c08-b539-1cba768ea646 · inbound

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports cites this paper.

CompilerGPT: Leveraging Large Language Models for Analyzing and Acting on Compiler Optimization Reports Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:22.633715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:22.633715Z digest=sha256:839be83b6ac8d0c67c2bf2051c0e5366f0f7d511abc97d105924697bfae47583

Observation 4bb300e0-6c8d-4708-a215-05c4f387eecf · inbound

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning cites this paper.

Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:34.854994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:34.854994Z digest=sha256:64e658408367d1ddce2f3b6b8e19efd0d20eebbe7b2aa7b69f4dc425c1da5fed

Observation a646ec32-d113-4426-909b-b527bb3c6c6c · inbound

VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM cites this paper.

VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:02.490773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:02.490773Z digest=sha256:65bdaa471ad7e947a17933e1ff9e4f3ebee7cf79e0da0dcb2e1f1543cfb4b371

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

Omniwise: Predicting GPU Kernels Performance with LLMs cites this paper.

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.

source=pdf_text observed=2026-08-06T22:46:18.112770Z digest=sha256:ea9ca93474b15a65acac5fb3cd6c9e94244e98ad981a5ea68d6264c5403a6907

Observation 1b52234e-666d-4c1a-9004-91f3ef50c256 · inbound

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis cites this paper.

Rethinking LLM-Based RTL Code Optimization Via Timing Logic Metamorphosis Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T15:07:21.473542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:21.473542Z digest=sha256:768b7c470f0ab88655756d9407351690a2b3d3622bf44526da07a46aeace51d8

Observation abcd14ed-4e0f-43e4-bc73-9f518698d9ba · inbound

GRACE: Cluster-Specific Sequence Reuse for Compiler Auto-Tuning cites this paper.

GRACE: Cluster-Specific Sequence Reuse for Compiler Auto-Tuning Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T09:51:31.907267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:51:31.907267Z digest=sha256:ffe5aef33a706f632b8f10914f8efb7366428f6b5e3c775d10b486622db221b8

Observation 51be2faa-0144-49ac-8a9d-74826c79b9c5 · inbound

LLM-Guided Strategy Synthesis for Scalable Equality Saturation cites this paper.

LLM-Guided Strategy Synthesis for Scalable Equality Saturation Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:26.820438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T06:20:43.546684Z digest=sha256:c1e0b907278639ea83fbaabef939e7f245e44f01af6216d5db2c804de8a77f41

Observation 4a05c07d-1541-4a32-9465-c21618fd3ac1 · inbound

Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization cites this paper.

Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:24:01.870475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T23:16:05.110912Z digest=sha256:619856b3ab8c4779ebab90700ce4eb9f3d2efef3b201b4e4b182e99541430b32

Observation 1df45e73-0a57-409c-987b-e602b8e89451 · inbound

The Biomimetic Architecture of Software 4.0 cites this paper.

The Biomimetic Architecture of Software 4.0 Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:16:24.484854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T13:31:34.982169Z digest=sha256:1263cf55532a15b076488559ca4559d7c1562833585eee40769ae7bc2faa0a94

Observation 5278e0bf-e107-45e4-9ab0-c56c25f02c26 · inbound

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

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:19:34.897277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T16:10:14.144156Z digest=sha256:900e1783c2c71b8b65fff25ea54e7b35a813ba724ceaa284d2ef5ce6338665fa