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Paper Citation Record · LEDGER

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.02684.

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

pith.paper-citation-record.v1
2607.02684 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:44:29.251570Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation da2d659d-4e56-4b78-925f-ec330d72d12d · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues?.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Swe-bench: Can language models resolve real-world github issues?

Reference 1

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:f2dce1734914d05b954009aba3ddaae8702304f0adb8a7281a8fc0bac15062da

Observation 0b4abe0b-809a-44da-b292-c46fe6d413bd · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,

Reference 2

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:ee9ce3d4e193db009af6d2df7e9ec4360fe0b26831da95af99d2ea5a083a3ac9

Observation 666c58b6-c505-4baa-864e-0ac27ec3e0bd · outbound

This paper cites Autocoderover: Autonomous program improvement,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Autocoderover: Autonomous program improvement,

Reference 3

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:aac502d13d5aa2921f59c55b5a0a1553645b88b834a7b0e7f3caa9d89189ab67

Observation 10cb6390-6b66-4ab1-b9b5-c2df4502604b · outbound

This paper cites Openhands: An open platform for ai software developers as generalist agents,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Openhands: An open platform for ai software developers as generalist agents,

Reference 4

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:8159238a22ecea0c51dcf834052b824bddfb494f53f6f3f3ba256de9217e03f4

Observation 4b08ac87-0460-4d79-8da3-ffd61d257e73 · outbound

This paper cites Gemini CLI documentation — geminicli.com,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Gemini CLI documentation — geminicli.com,

Reference 5

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:c7aa4c10b7689b231bc3d37a716d24c51e288f8a248c53acb93e5ba39a484842

Observation 4b7e6214-7100-43bf-8815-b65ab8df8a9b · outbound

This paper cites Claude Code overview - Claude Code Docs — code.claude.com,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Claude Code overview - Claude Code Docs — code.claude.com,

Reference 6

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:be61531245b9d53ff5f7541c934b8f0fac47fe9bb2f1c31c90a84716bca5ed8b

Observation 371c6e35-cf21-4b57-b3e3-06824bb05f22 · outbound

This paper cites Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Terminal-bench: Benchmarking agents on hard, realistic tasks in command line interfaces,

Reference 7

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:b6cdaa96a49afad04bee6d019b424428bd331d5ab289b0d86901ba2a9aada9d5

Observation a0123501-0234-4172-a660-fe9f47d3041b · outbound

This paper cites Featurebench: Benchmarking agentic coding for complex feature development,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Featurebench: Benchmarking agentic coding for complex feature development,

Reference 8

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:2a70e1fe54d5418690ef6d99bf0fce70b21a9dc27a7913828bee5c031009527d

Observation eca2c820-bb16-429c-ad6c-e3c4dc6a8df3 · outbound

This paper cites Souper: A Synthesizing Superoptimizer.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Souper: A Synthesizing Superoptimizer

Reference 9

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:7137a6e7bf738ffbd5b07531d1ddb86c8ad6c03f263050e77fe0cf5b0aef8d2b

Observation aeae5d01-c2bc-4a40-aded-b3d0d5086b3c · outbound

This paper cites Alive2: bounded translation validation for llvm,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Alive2: bounded translation validation for llvm,

Reference 10

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:2abc28aa2ede20b88ed8a03550e4866bdee16a58890cf09b5fc336cd1a17b445

Observation a832ef7d-0455-479b-82fc-bcb361c39156 · outbound

This paper cites Provably correct peephole optimizations with alive,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Provably correct peephole optimizations with alive,

Reference 11

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:ff1d8828a44b9ed0ee73499ef48cb4b572ceedb86ec7d57702f75419d83aa8f3

Observation e4e1516c-4e0b-4676-9762-3689c4af3363 · outbound

This paper cites InstCombine contributor guide — LLVM 23.0.0git documen- tation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations InstCombine contributor guide — LLVM 23.0.0git documen- tation — llvm.org,

Reference 12

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:1c91b04d0df77fd10a621c85e860a5021263a173d5539d1f560a2a6df7539655

Observation cad72b79-8328-4eff-80eb-a89a33619753 · outbound

This paper cites Optimization-directed compiler fuzzing for continuous translation validation,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Optimization-directed compiler fuzzing for continuous translation validation,

Reference 13

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:c59603bd935ad331c77963732e11e70215f8b56e7db6614c5aeac7eb1a3af5e9

Observation 8a995111-2acb-41ca-b95b-148982d4fbde · outbound

This paper cites Lpo: Discovering missed peephole optimizations with large language models,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Lpo: Discovering missed peephole optimizations with large language models,

Reference 14

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:7de5b470a26c5fe20e0b6ba6b35c5407513ade55e0feee51d4e5d1895b4b6242

Observation c283a261-3a2e-4fb0-abd3-67f9e1861f2a · outbound

This paper cites How to contribute to LLVM — Red Hat Developer — web.archive.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations How to contribute to LLVM — Red Hat Developer — web.archive.org,

Reference 15

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:f19e30d8cd4077bbec05dfcf0f4d0b8544a469cb6fb2758b82bfced1b2d8b750

Observation 338150ed-dacd-4bac-9f2d-96c4c9d67eaf · outbound

This paper cites CLI – Codex — OpenAI Developers — developers.openai.com,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations CLI – Codex — OpenAI Developers — developers.openai.com,

Reference 16

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:c93e51a2072d7cde2f5afde32d86688931fe87611e4cc64ad58432e0ef9f5e5d

Observation 066e99c1-7551-4ade-9738-c6b52bf3553c · outbound

This paper cites llvm-mca - LLVM Machine Code Analyzer — LLVM 23.0.0git documentation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations llvm-mca - LLVM Machine Code Analyzer — LLVM 23.0.0git documentation — llvm.org,

Reference 17

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:b64274ccfb997c6e605c989c6bba69f05a73d4af7ff6b296c1b6b62e7caf181c

Observation 18129581-0485-4a31-b421-a8e1793f3ee6 · outbound

This paper cites Llvm: A compilation framework for lifelong program analysis & transformation,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Llvm: A compilation framework for lifelong program analysis & transformation,

Reference 18

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:738d80a45af55db8f3b4c776b8713926d1ccf76e94a2635b506ae61841f67e05

Observation 0d7f2398-3cda-45ca-b37d-554c55cabc26 · outbound

This paper cites Peephole optimization,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Peephole optimization,

Reference 19

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:389d259bf0a35dbe0ee77d84cc9fe4a9b6bf41c81789f63ce2480db70947a82b

Observation b083ed02-0607-4d77-b546-44610aa33323 · outbound

This paper cites an unresolved cited work.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:f382767cde95d60a2ea446720eb6b710d2a544cdaabe9c0a08d025fe7819c07b

Observation 2320a67a-a98f-4f44-888f-d88175a4ea5a · outbound

This paper cites Hydra: Generalizing peephole optimiza- tions with program synthesis,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Hydra: Generalizing peephole optimiza- tions with program synthesis,

Reference 21

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:37a8abd9cedd30186cacd2366e2adaf529d3bdaac80e9cb933c0bbbb41f8d0f7

Observation 7d373dff-6032-4115-8f96-85a39bdbb33e · outbound

This paper cites lit - LLVM Integrated Tester — LLVM 23.0.0git documen- tation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations lit - LLVM Integrated Tester — LLVM 23.0.0git documen- tation — llvm.org,

Reference 22

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:a545ba43de5d599f3a75ae035553bfd8f0276719a47dbc6c43d5bd3e9ca64eb2

Observation 019f1db3-8a11-4f64-87db-17c2991631c9 · outbound

This paper cites FileCheck - Flexible pattern matching file verifier — LLVM 23.0.0git documentation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations FileCheck - Flexible pattern matching file verifier — LLVM 23.0.0git documentation — llvm.org,

Reference 23

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:a7a368ecf628db083bd2b79c074c76b0d0381a1511cb6180db8ab06b6118c03b

Observation 40893477-2d9a-43a2-8152-128722ca5acb · outbound

This paper cites LLVM Language Reference Manual — LLVM 23.0.0git doc- umentation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations LLVM Language Reference Manual — LLVM 23.0.0git doc- umentation — llvm.org,

Reference 24

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:74680eba010684101592988ebf023170cedf63bb8dae179b42df77fbfc776e32

Observation 5fceacc4-b5a1-405f-b9d0-f280b5d3ded8 · outbound

This paper cites LLVM IR Undefined Behavior (UB) Manual — LLVM 23.0.0git documentation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations LLVM IR Undefined Behavior (UB) Manual — LLVM 23.0.0git documentation — llvm.org,

Reference 25

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:1f05a28b19ee21e4536a3afef87fa75237ec582bde69978053445471a54c7a9e

Observation b9a9c49e-5b61-4da7-b462-bf8592fba579 · outbound

This paper cites Taming undefined behavior in LLVM,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Taming undefined behavior in LLVM,

Reference 26

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:990d1d50619fdee843f31612b4009e0ee4e77a1e41dca83e3600bf334a099dd1

Observation e2907232-e2de-455f-bd15-02ea63395f25 · outbound

This paper cites Using thematic analysis in psychology,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Using thematic analysis in psychology,

Reference 27

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:00aab0220c5c095f19811ffedf1125657e7d6efd467d74aec08f76cf3f85a28c

Observation 9f63ab86-357f-4c39-a981-ce6308acdc0a · outbound

This paper cites Llm-in-the-loop: Leveraging large language model for thematic analysis,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Llm-in-the-loop: Leveraging large language model for thematic analysis,

Reference 28

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:9aab05d55f7dce819deaa6f30f1808a4e97bcc70aa35d8f72331383d2327b8b0

Observation ebb89449-7773-4fc3-8eea-7ccf30a3499c · outbound

This paper cites Thematic-lm: a llm-based multi-agent system for large-scale thematic analysis,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Thematic-lm: a llm-based multi-agent system for large-scale thematic analysis,

Reference 29

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:462def29f6021f7236fe5d33130a2ea5a27daa1d0b1c5d13a461fe660eadee3e

Observation 4782a048-3dbb-49b2-88e2-56bb878687cf · outbound

This paper cites Measuring nominal scale agreement among many raters.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Measuring nominal scale agreement among many raters

Reference 30

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:61c34010e54f53026fcbb7368fcc9d1706cd90f2c5759b82ace869d665710d5c

Observation 160ba754-2e62-49a6-a159-1bbf03b5021d · outbound

This paper cites Models overview — platform.claude.com,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Models overview — platform.claude.com,

Reference 31

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:1f33d1a6b716dbf1d32142fe557f7e16e3c8071d180c9cc524fcb83a2b291866

Observation c6d8f172-0c1d-4b18-aecb-3a45ee489bab · outbound

This paper cites Models — Gemini API — Google AI for Developers — ai.google.dev,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Models — Gemini API — Google AI for Developers — ai.google.dev,

Reference 32

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:122db4d895e62687ce3088c80ec43bbaaba5301ac384a7e48332c55f98ff85b7

Observation 097313f1-c2b5-45b4-81fe-2bab11d90d67 · outbound

This paper cites Models — OpenAI API — developers.openai.com,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Models — OpenAI API — developers.openai.com,

Reference 33

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:1c2c3c2416fb63a5ea316903c3a351d5e25518148a2382971c901ede4377a09e

Observation aa3bc652-ff29-414d-9ffd-c3dd5187912d · outbound

This paper cites The measurement of observer agreement for cate- gorical data,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations The measurement of observer agreement for cate- gorical data,

Reference 34

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:0bc9620733b5ba2de68174882f35834ee6c7264c2949fca6eb51901d2fbb9d16

Observation 681e6a9e-b6cc-450f-9bfb-61857eac722f · outbound

This paper cites The Often Misunderstood GEP Instruction — LLVM 23.0.0git documentation — llvm.org,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations The Often Misunderstood GEP Instruction — LLVM 23.0.0git documentation — llvm.org,

Reference 35

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Observation 164f8341-fc7b-4b80-bcbb-2387f80e754e · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Evaluating Large Language Models Trained on Code

Reference 36

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Observation 491494f8-013e-427e-8d0c-73b48d7b79fa · outbound

This paper cites Evaluating large language models trained on code,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Evaluating large language models trained on code,

Reference 37

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Observation c595ec45-8b09-4311-835f-dcee2ac25e11 · outbound

This paper cites SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?

Reference 38

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Observation acbf061f-af4e-4022-99b8-aacfe1335061 · outbound

This paper cites Agentic harness for real- world compilers,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Agentic harness for real- world compilers,

Reference 39

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Observation 9c946c51-35cc-41c8-a7ea-74481f46562a · outbound

This paper cites RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot

Reference 40

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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:f196d32c9f90efa61cb4951e9e3dd90e4daadf7c90371eac64b8564bcf774826

Observation 0b8545f4-cdf7-4f3f-b8a1-7c5c2cb1fcff · outbound

This paper cites Search-Based LLMs for Code Optimization.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Search-Based LLMs for Code Optimization

Reference 41

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Observation 2815b9ef-c50b-4703-a5a9-f5084b19af43 · outbound

This paper cites Large Language Models for Compiler Optimization.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Large Language Models for Compiler Optimization

Reference 42

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Observation f67252b5-d43c-4b0d-b330-4c41084143d2 · outbound

This paper cites Compiler generated feedback for Large Language Models.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Compiler generated feedback for Large Language Models

Reference 43

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Observation 650caad5-a1d0-42eb-99ae-8c9ce0b21e8a · outbound

This paper cites Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!

Reference 44

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Observation 58742110-2cba-4188-9a20-e332c8f92f8c · outbound

This paper cites Finding Missed Code Size Optimizations in Compilers using LLMs.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Finding Missed Code Size Optimizations in Compilers using LLMs

Reference 45

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Observation eb831d29-f71d-4395-b953-2b6d74363737 · outbound

This paper cites Ir-optset: An optimization-sensitive dataset for advancing llm- based ir optimizer,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Ir-optset: An optimization-sensitive dataset for advancing llm- based ir optimizer,

Reference 46

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Observation f6fc6307-1f8c-4dd3-843e-3b690bcd0d8d · outbound

This paper cites Beyond pass- by-pass optimization: Intent-driven ir optimization with large language models,.

Can Coding Agents Implement Missed Compiler Optimizations? Evaluating LLM Agents on LLVM Peephole Optimizations Beyond pass- by-pass optimization: Intent-driven ir optimization with large language models,

Reference 47

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