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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=sha256:21d615e76620f9196355b25ebb22016c55dad2767a7e17e8819ee3511866e73a

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:cb95f524b7d3fd3766eefbecfeba30908e6a1dc432af5938be54a802ccc9b8a3

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=sha256:84b2b8818670da0b604af63159eebc51e5c1cd87543bd564a0bacd7d84901e31

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:f46e926e1ef593ff7c905c2bd699d78087857345e381fcc7726c5decc618509f

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:f13e788ced12bcd577d88c384e6cd7caae8e6a8a8106e7e85f4b15c7389c0032

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:a9abf8923c135df850a0c7ed310dd4bc223da2b4a0d614e287b6c2b1710f893f

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:dc471315e1ef7e10658ac6111598276aafd15e47bc9ede6478642b214ee9dc2a

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:ade2ee83fea9d923e4cae6f9b69aecc1bfc54c843343532ed10ab8c3137a4c82

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=sha256:3a70ff448fb925dbf09da122c90f82e8c9a42a1c17693783c02e4276be59002f

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=sha256:46903ef2e16fc5e8f2ec99fb94d0949f3f7c9caa19442d6d81b4510463dc4a40

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=sha256:0185cd72a5cf3a1d65aab5df8fc5ae73fe47f51836197fb9299bc1d012946e23

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=sha256:316be1c97f44b5e2ead88832bf5c953a4b24212f009c5ed13013392ee836185c

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=sha256:65d75fb58807678b4ae63f8be9a573af1bcad9ec6752985954bed96a2a3d1fe3

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:f1005c864899b29f5932a69e3a89bef07d8344b634f474ec7429d445c8c852a8

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=sha256:0bc3173f19933cd157a80cb20b05e89f9b2c08bd00abc4d29cb5dd0f6df31209

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:ce9d287ee0a5de3f1123f0fae8386195f269b47cf0efe05218bca2d986880b54

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=sha256:75e0a6670b0766944d6051608cc39971373fa8601874991ee201c357a03b2386

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:f38d83578d67cdebefca37143c3673a1c6a141cf5c77a450a893c3cd41faebd1

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=sha256:3f1e6717baa4f181d1910f1e12d09dfec9194d144c9448aadd43cbb1c6024059

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:e2404073840c77658f22693a9551c0b5e54f03dd6f37898715447bb309f828ca

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=sha256:4cf94f4a1ee83daf1e08a379896caa2adeefa746952e7f5d3a2853683abb5480

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:dfb6e776c6bea763f2386c7391bf00c15d177e05b755d209f386761ebaf2e975

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=sha256:1b273c56618ba7d3f29bbe930d51c2d8b6af1799f6e38e902fb69f5e3a45be7c

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:ae997b1d370300926e9048d78361c86369103bd92b79a8a9a52726045263652b

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:e075f5fd3e8bf31aa1e451c7fa97d62abfddc3bf1e7064effb4c4b8d4d30424e

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=sha256:59a0fd6366b5c174f9d89c576c554aadd110b2edfe5c3713453c240a0cf751a2

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:e935f5e88e0c6ed8314f9c5a9c4d89bc13ed1f6da6f884ab98ab830d537148f4

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=sha256:1175228086c9cc4a01c82f86ed7607b8117bbe0646e39cfe40d4feedb85b7145

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=sha256:70250e8d279d23b698605ea22cb26d4eb6529f0ff6fd3f489c16ce4c9263046c

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=sha256:52cf615888a6629b374f20c0b604b7ea00c9e564221f8385836bc3f0a078727c

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=sha256:0a5e43e1c9dadeccf114a080d9791fcce23e95f66ddb3debd81748b2858cbf55

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=sha256:0db7545edda24fd2dae09470cd79fe39a373078b9cd0b73a5395695dab54c596

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=sha256:587a4786576f1c76d889389dc6e607bb2ddb19ecc481f50850d33348953d2dc6

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=sha256:4df4a73e61ea5020879510bd45103b264e819e39298e11ab7487367778019a68

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:4dc0792a850eec482227c69fc1641b2db8dd673669745d9a708ebc25ac872132

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:fc6e4c98a2594a6aae062fc7451cd2f0de583643e6cc0dbfec2d1712b6e064df

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:d0b61b6e42aab530568f6548ee8aa250d1905b142d0c9d242c29f4b52f0b5610

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=sha256:87f618c224b026f5a60ddf7385b149023631b593943202f029ef063a3e52e68e

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=sha256:8f522c3d2c0644c324abe3729ec3075ded59aa6dbb34ceed9cb1d767992d5698

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=sha256:45bb6c2719bad524251483b98795cd28449c628582807db5e3f4b7d9c60c82ca

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:ff8a4955b1ca96701e7e52835fc1df6b02b741478cb7de8a622768248699b1af

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=sha256:90b220e52ca64dddce54b10d87f4ad69c692c5100ad07d1ecbc4f12cc73a0927

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:22be0d6bb2a6656b7537119b6cc372f031942ebcd229017f491e116e21681d62

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=sha256:0083b6c8a48fa1df6b493d62c6e51b4f8f339bd5438e91f4899d355baa828d90

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=sha256:85679001dccf5eaebc0bdca89fd952fad1ec16055004c52fe2cfe5f9e9e0b820

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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source=pdf_text observed=2026-07-12T07:44:29.251570Z digest=sha256:522f421afff867feee8357780ca1fae28a12d791afcd95afbf8505f6efd95dfa

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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