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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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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  • unresolved47
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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:be48b14cd1bd75f8a6c84b21e82bee03a1659da4fa42a0cbe110f518a05d2fe8

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=sha256:2bdc35c0268eb9dbd288da61227988d208ca623cefc6c9748ca9a1cd81d7f32e

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:c6533f8a25a3b9e19b032fbdb0e031686ea605a856f90f4e1214ed8a79aac7b7

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=sha256:34e3f8cc2693fa9f717793ea3ae229a28484a49a2312ecf1a5a865152e48fa75

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=sha256:3a6efc573f33b795f728942bb53f65781126d03930ef69e1378286e3b091ab0e

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=sha256:367a40fd712f6fff7fce89d958c5e7f4a0f8a02e3853695afc88d57dba09c048

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:cd2e6258bd2e6bfdd1e2f40d997ae3896631e1be3dde83b28b27b5f4e6399f6c

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=sha256:2aef81b96360c7bff35b7d41347378e05e3048c1aa8391b2cd011e0e5e68cb40

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=sha256:6afa60a88d888bebd5f73b9281985c21cb62431a13f6e9b3e3e2d9989afd1177

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=sha256:7038c8110ed9c3d41c48cd2fd3c98bceb36dd0b3fd232297eb073291df55e995

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=sha256:8c6a1d40686142abfed4bb3df1c84b4281e00aebe8e885375d930fbde2ebf11c

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:d363453500dac3f82f7a61b1bff2a2fe5f953a3cc678302bb7660ffa2dceb061

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=sha256:3ee2cdcb85e459658b082e953c330cacc4b4eff820d38c869022930dda3db4f1

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:e2fe294b87ecbca4dbc2f11f9dd47e574f184ab045f7871f35db5ea9d3260d4f

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=sha256:9197982035d44bafbf77666f5c93c3a393e04a346585df04b30df6913c25dec1

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:c8cc3f88b963387945720e5e4de6bfb5285ed94b6009e8083b1f272eb6ada7da

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:df5385dd130ecbb0f7f636b15bd2b74ba0e331b5b0072d824ebcc271d064069d

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:b74a1c2e88d542737ff10b3e1801c883e8af4688736c1d34deeb1f1ccb26a66e

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=sha256:24916c567e87a08be51b1b95344c769e637bf3ddcfbfa8a75d61e3bcf93e0048

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:b42fffe37c6d00b4297bb1225d1dbaf594f2094c9d886c9d679549809e1c38a2

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=sha256:96f73db89c502cb3018caf83ded6ff81e1ed6571bc8d7ccc131e4d15530f0a7f

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:abf16ec99f215bb6b04ffd424de3258322bf9ee2b25a3fc5543e3ac54f315c80

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=sha256:1113390832e8d522e880b5e78fcc628968f1fc6b122415539ad2b6020a0e8018

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:dee016503586304202479cada29a567f77ecc6ec543945a680499b87b68ba1a3

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=sha256:90ef69559bff186a8959d23da47db6fbf5e41efba92f9038f67823034c5050c9

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=sha256:60e484470db56f5c6c350ec9fc4941009756a2d6ecc82b24ee2eeeba775a72a8

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:a6cbe71f90b6acd99a63db240b05c0314ea1c5f050d0b9b0edb9e5fdd71b44b2

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=sha256:13672c3439acdfefef77c10e351e3606acc558f32fc560720363bcc360f67b5d

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:f328ccee033758e7d85f0f4c9f3cfbf4d1f31ac1da8a0369eca3aea1082d71dd

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:db6eac3dd06c36d1a2d6ead8f09d564ea5432de3effbf26b8d03588c4534c6ba

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=sha256:8aa1f9982bd351878d098c60833d28783d9c740047c55f6a06b33ea5181c0d8b

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=sha256:01340515fe54ed656ce1e287ae01ce4117fb2ab29d9e17e0877ff99aa2248b54

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=sha256:603c0ffa2a191c81fcc3d2c5a3c3cef4ff43ecd90d6dcefb09394935bec13056

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:fa361cefd552f2f8d73567b1afd01a66dae36ece3eebed0d56b4a2fbd1ce6d5f

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:07d8dc9989002713d2b7c5ca9860f3f6aa413a9b43a3eeb85f4d2fe594ddc986

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:c992a3713f9ab8d70e451fc7877adeb6e2980e4898608b85807c2b367bf2f515

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=sha256:6593995c3e3516286b5296d2969b89c753a23f7d4a61a8c18b1c2eb48408684e

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:9c002dcdd9ba7632b90db19b1a2bf2c0b603c5b0e25a2b14f39540fc6f0b39c6

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:fcdd0e56aa994ea42989744414071afbc5aab52aedcaac39c04465d478c9cd45

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:094f2df3afe7e110bd1322802c1855f29b87d1080ef62b89bc9d9d92f637eb40

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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