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Paper Citation Record · LEDGER

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:20:19.610627Z

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 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=sha256:63850639b316e1ac4bcbb38dff896e2056954adfcddaa2e7ed311e82ea7c2de5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T10:27:56.185943Z digest=sha256:b1dcdb32e270dbbbd5ea34c970a567dc45a3bc1cccab2d1899b12496fb5a6a7a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T12:17:34.743290Z digest=sha256:40c0feae224d1cf0efa8b2f94473bbdb3431130d61fcbd67e8779207b15f81d2

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:cc2c17b365c6e6202055af37aee06ba87eda7aa25ec2cfc7b6ca7ccc3c3faa62

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:a5f4be6ff7ff5189ecbcf34be0c2da9587833da2b7a7b7bac6f9a3b06969681f

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:afd2a47dc3f255375509b735a50ac6af5b9ce2544000485e42102cb3fae790d7

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=sha256:4da3447c1c7d441466e495130c6f4f80ed55c285ec1e7b900fecce6afeb0cd53

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=sha256:3f701fa33e10e64af90703e42a2cd99ec44f0f1d98ff72460b7eee6fd34f4ff4

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=sha256:7552b5d815ea082c244b42e5c1886429f70252ac1fb51cd62f1487e5d3001668

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T06:20:43.546684Z digest=sha256:246ef0f792fe477eeeea89cb393a57399093dbfb9d15db684874548e678f445c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T23:16:05.110912Z digest=sha256:69c9e9b069304337bccdb2bf0b03406f07b5f97e5b7552e5a48335853bba6ae8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T13:31:34.982169Z digest=sha256:a6e589cc123db03e9225105ba8e9c988cad281158efc31940d7c789c860adffc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T16:10:14.144156Z digest=sha256:d16740ad7cb38421982db38e8f27ccadef226f0d8fabee18fa51706c40642101