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Paper Citation Record · LEDGER

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:34.854994Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:cd114c7581075412e6b1de4a1933debedea26e484332933b83d60a43778e2575

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:17:34.743290Z digest=sha256:9d4ebfb7eb5a73268b4bbbdcea9702c82e142c3f34cdf465ca93483df08db794

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:a8fd187de97c29d4280052d06eacb914453c2d94fe1dacd8832136dc91b8d6d9

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:bbd64685445714192557e1dc72f7f93afb54571fa88677bc499bf9f724799759

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=sha256:4eede90ce0397b5f1b0a87971fd805a04c89d0a059422151f77bbca0ddf4d385

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=sha256:907c0bfa5070dbe1cbba458e0c76d8936fae02a201553b891a833c4767685cca

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=sha256:0dbb9fe7d59dab54ffd0e0eb3b6806f399f350fd416c3f75ad956d358652e00a

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=sha256:5571fea1bcee0692de081b741fdd3ebbcf0a9cb8d9fc9e9d9ad04ebd68057819

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:20:43.546684Z digest=sha256:c623a6bae0b54e093733b3316d4cd33a2aabdba65b2755ec1a2371e6fe2c6bb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:16:05.110912Z digest=sha256:e62adc519c64fa172c090e42fa9022663832caf007b138078d15b2cfe75783c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T13:31:34.982169Z digest=sha256:712efa1408bf14ca3006bbe0f804357e337ae9a68f10fc5cd1070e68b179f3c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T16:10:14.144156Z digest=sha256:7a0602101430ee0cc279bc4880a99146eefd0305ea34d757546433f0b8506a49