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Paper Citation Record · LEDGER

Evaluating LLMs on Real-World Software Performance Optimization

As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.25530.

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

pith.paper-citation-record.v1
2606.25530 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T20:09:37.551395Z

measured 42 of 42 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

42 of 42 outbound references displayed

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  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 0848b2fa-d65b-4965-97da-c9532e052142 · outbound

This paper cites SWE-perf: Can language models optimize code performance on real-world repos- itories? InSubmitted to The Fourteenth International Conference on Learning Representations,.

Evaluating LLMs on Real-World Software Performance Optimization SWE-perf: Can language models optimize code performance on real-world repos- itories? InSubmitted to The Fourteenth International Conference on Learning Representations,

Reference 1

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:b88b97f26fad467ac5a251685e5baedf543fc046e2289ba64f51002d5c298063

Observation b19ef983-16ca-4f05-9b4c-eb01b6ae4f37 · outbound

This paper cites Claude sonnet 4.6.

Evaluating LLMs on Real-World Software Performance Optimization Claude sonnet 4.6

Reference 2

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:ce2be77304b8513fc4e654a4f2837da193020704409f2f469ecda2e785878903

Observation b242db89-241e-4966-b494-db5bf5fea3c9 · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 3

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:0c2a967878c42b3117b1f2a90363cfd41e93f983858b1240fd99b96c53d9ec40

Observation 46d3ccde-352e-4dac-b8d7-ac2d425dfbbb · outbound

This paper cites John Wiley & Sons, Ltd, 2017.

Evaluating LLMs on Real-World Software Performance Optimization John Wiley & Sons, Ltd, 2017

Reference 4

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:0fb17a3d482a861a62442f87f7284f7f9efc44cd0fb4700da6bf0fce7f319d39

Observation 697bdaef-60c2-4e6e-a90c-cb44ba84bce5 · outbound

This paper cites Mercury: a code efficiency benchmark for code large language models.

Evaluating LLMs on Real-World Software Performance Optimization Mercury: a code efficiency benchmark for code large language models

Reference 5

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:691b5e3f5222e232f85f16613d3f419de5065b605a37f97660ea4d0ad1d90ade

Observation 746751f9-a8b7-4b93-a726-e690bc2f55cd · outbound

This paper cites Lyu.Search-Based LLMs for Code Optimization, page 578–590.

Evaluating LLMs on Real-World Software Performance Optimization Lyu.Search-Based LLMs for Code Optimization, page 578–590

Reference 6

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:89b1679b83d0b41e78a11ee6db177d9d1fe3b7742344b860ad4f07a10fc5b2b6

Observation 1a7beae1-fc5d-4a61-b657-06654699b5b0 · outbound

This paper cites Statistically rigorous java performance evaluation.

Evaluating LLMs on Real-World Software Performance Optimization Statistically rigorous java performance evaluation

Reference 7

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:a048e9c71c9a8231bc13ef3a0aa185f44c4dfabffd0e8746009697e283417e99

Observation a54b55cf-9b54-4b26-81ae-95fdc3a323f3 · outbound

This paper cites Language models for code optimization: Survey, challenges and future directions, 2025.

Evaluating LLMs on Real-World Software Performance Optimization Language models for code optimization: Survey, challenges and future directions, 2025

Reference 8

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:9c2c698a1babd2e59cdd074749e73f0c9e5c7e2c7f32379b4006fb84708701bc

Observation 7f1afbe2-dde3-4fae-aed9-e2ec63665401 · outbound

This paper cites Gemini 3.1 flash.

Evaluating LLMs on Real-World Software Performance Optimization Gemini 3.1 flash

Reference 9

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:2cecf0d6bc29f060e901c8c6478d772de55f1074b218cf50cdd7ae77c9281403

Observation fe06543f-7608-4e20-aa46-8b0e1c4392de · outbound

This paper cites Effibench: Bench- marking the efficiency of automatically generated code.

Evaluating LLMs on Real-World Software Performance Optimization Effibench: Bench- marking the efficiency of automatically generated code

Reference 10

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:617d8e700639ada539c4b0f1e68a914e9509b82b4eab03f2ec23f61ccda8c09d

Observation b401a4df-be9c-4b19-9d17-70bb1ef8524e · outbound

This paper cites Monzurul Amin Ifath and Israat Haque.

Evaluating LLMs on Real-World Software Performance Optimization Monzurul Amin Ifath and Israat Haque

Reference 11

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:7f72f9cde305e1543c77decf543aa5772d0e8af5eab4a83f5736c15bfd26b46f

Observation f281f071-0bcc-49c4-a135-575fc04a14a7 · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 12

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:1fe3e1fc3b60fb5366b54ac719ceb08bf2023ce208f2327e66a6911a5b067820

Observation c14eb221-6c72-4b82-ab6f-fb0f093a7ef7 · outbound

This paper cites A survey on large language models for code generation.ACM Trans.

Evaluating LLMs on Real-World Software Performance Optimization A survey on large language models for code generation.ACM Trans

Reference 13

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:06b3ba9b540212d32f7c55bb074c16cb7f33cccee019b6d6e47c557d087f31ec

Observation 0a42aa90-e44b-4101-a916-7ebd8e52e3ab · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan.

Evaluating LLMs on Real-World Software Performance Optimization Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik Narasimhan

Reference 14

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:a695ce59f00083c9acb62cea2b36b9263c53594a73efded22a07b81e12abc16e

Observation d45fcaaa-1943-4fb9-aabd-a7c4a0ee45a6 · outbound

This paper cites Understanding and detecting real-world performance bugs.

Evaluating LLMs on Real-World Software Performance Optimization Understanding and detecting real-world performance bugs

Reference 15

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:82202217fa5004fff468185eef6e8b135fd49fcfa51d523923afdc8d9194f993

Observation ba5090aa-c2f5-45b4-a0f3-c1e368e44a3a · outbound

This paper cites Rigorous benchmarking in reasonable time.

Evaluating LLMs on Real-World Software Performance Optimization Rigorous benchmarking in reasonable time

Reference 16

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:b2efdf45b21cc2f1488231e3b922c80c63701057dff5c0dfe65dd6f7e7018799

Observation d5d145f1-9818-4018-9085-149181e94e9b · outbound

This paper cites Gall, and Philipp Leitner.

Evaluating LLMs on Real-World Software Performance Optimization Gall, and Philipp Leitner

Reference 17

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:4bfb541309134fa05ee29556f6feff122734850c879b80f5d282d0d968ca438e

Observation 64b77921-2c8e-4c68-a8d8-e4f1763765f3 · outbound

This paper cites Input sensitivity on the performance of configurable systems an empirical study.Journal of Systems and Software, 201:111671, 2023.

Evaluating LLMs on Real-World Software Performance Optimization Input sensitivity on the performance of configurable systems an empirical study.Journal of Systems and Software, 201:111671, 2023

Reference 18

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:0892b85425c47df1087b9d432745cc4f36a3a2c39c7cc61701e9fcf70add6d0a

Observation 08e51002-92cd-4d61-ab34-b34192e224d9 · outbound

This paper cites Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations.

Evaluating LLMs on Real-World Software Performance Optimization Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

Reference 19

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arxiv_id, observed 2026-07-04T20:30:07.123394Z

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:c89318990745e5e7c88a2fe30e35733b0fa3aec9902bb33fe8ad8bcb16b0df9e

Observation 07b66a8e-ca2d-4007-aa4b-965e857bc9ce · outbound

This paper cites Swe-fficiency: Can language models optimize real-world repositories on real workloads?, 2025.

Evaluating LLMs on Real-World Software Performance Optimization Swe-fficiency: Can language models optimize real-world repositories on real workloads?, 2025

Reference 20

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:f2b407dc9f78deae43f344853ec9ee961c85dcf4d50fdd05e177f1183c038fdc

Observation 7966fdd9-f859-4f68-9d7e-239f674c7d3d · outbound

This paper cites MiniMax M27.https://www.minimax.io/news/minimax-m25, 2026.

Evaluating LLMs on Real-World Software Performance Optimization MiniMax M27.https://www.minimax.io/news/minimax-m25, 2026

Reference 21

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:c9fea9895e18a8e6a5356e1f7f9351bd09b21432824c4705379b24a1f0dadb26

Observation 0783defb-56b8-49a2-becc-b0218ef4669d · outbound

This paper cites Kimi K2.5.

Evaluating LLMs on Real-World Software Performance Optimization Kimi K2.5

Reference 22

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:11ba34b9d1be972c6bdd11c34be7ddf59d181471ae342146186febd97565fc15

Observation dde4ef08-7ada-40de-8df4-4c6f1dcd9ac0 · outbound

This paper cites Analyzing the impact of workloads on modeling the performance of configurable software systems.

Evaluating LLMs on Real-World Software Performance Optimization Analyzing the impact of workloads on modeling the performance of configurable software systems

Reference 23

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Observation af9ede46-7647-4470-8be3-d903816fb74a · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 24

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:2433a3f97aeeabc012396c52c800c2a8e3509eee5651366eb6f25589d947fe7f

Observation c1aaa681-e5a8-418e-92d0-be80dc40ade3 · outbound

This paper cites Discovering, reporting, and fixing performance bugs.

Evaluating LLMs on Real-World Software Performance Optimization Discovering, reporting, and fixing performance bugs

Reference 25

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Observation 9b3a2ace-7e7e-497e-abf9-c76017b85403 · outbound

This paper cites Introducing GPT-5.2.

Evaluating LLMs on Real-World Software Performance Optimization Introducing GPT-5.2

Reference 26

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:5ea6d7224b18a71a6e9c7788e5828c638eb6370f4d17ded15a5bccf96e4a19e0

Observation 04e3a7f0-ded9-409e-9c58-26d8e043fba8 · outbound

This paper cites Lyu, Caiming Xiong, Silvio Savarese, and Doyen Sahoo.

Evaluating LLMs on Real-World Software Performance Optimization Lyu, Caiming Xiong, Silvio Savarese, and Doyen Sahoo

Reference 27

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Observation 4cb262f0-4fc3-4e7a-9085-260acda5e8fe · outbound

This paper cites Coffe: A code efficiency benchmark for code generation, 2025.

Evaluating LLMs on Real-World Software Performance Optimization Coffe: A code efficiency benchmark for code generation, 2025

Reference 28

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Observation 9f884374-be46-4515-aa40-b857cd428d71 · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 29

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:f5343c8aa3f069abce4da81e1405bf6315fa066b3eaaae97e1eeaf21ed8756c3

Observation 8bd6cd4a-348a-473a-8e43-cae31c78c5a0 · outbound

This paper cites tracemalloc — Trace memory allocations.

Evaluating LLMs on Real-World Software Performance Optimization tracemalloc — Trace memory allocations

Reference 30

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:0227e97a079cc42c431ac17cd414f7e1b1f1d06a2b5f752f3a40739d65124312

Observation 25e9c537-7411-4a38-9b3f-46beeb615cff · outbound

This paper cites Zhang, Heming Cui, Siu Ming Yiu, Dong HUANG, See-Kiong Ng, and Anh Tuan Luu.

Evaluating LLMs on Real-World Software Performance Optimization Zhang, Heming Cui, Siu Ming Yiu, Dong HUANG, See-Kiong Ng, and Anh Tuan Luu

Reference 31

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:6fb9bde58606f80da46a6fa6dbb8b8e31207b54fdb5df6493a6877d66e487b51

Observation 75bd916e-a941-490b-bdb1-4db9285ab4ca · outbound

This paper cites How efficient is llm-generated code? a rigorous & high-standard benchmark, 2025.

Evaluating LLMs on Real-World Software Performance Optimization How efficient is llm-generated code? a rigorous & high-standard benchmark, 2025

Reference 32

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:691c049281c22e671e51fa19bf7b5545dcb4a023bc42e83df2f2762f260326ca

Observation c565f4b7-0036-4ebf-a37a-4152966959ab · outbound

This paper cites A large-scale empirical study on mobile performance: energy, run-time and memory.Empirical Softw.

Evaluating LLMs on Real-World Software Performance Optimization A large-scale empirical study on mobile performance: energy, run-time and memory.Empirical Softw

Reference 33

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:ff11dfe9aaed5812b3335f729f079d45d97fe6fffaaebad178872e683cc2ffbc

Observation 7a3513c0-bae1-4519-b038-236ea342bfdd · outbound

This paper cites Saha, Matthew Lease, Sarfraz Khurshid, and Dewayne E.

Evaluating LLMs on Real-World Software Performance Optimization Saha, Matthew Lease, Sarfraz Khurshid, and Dewayne E

Reference 34

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:ab3db398868644c1eb78c2315ebc14dd7451b75be3c3289084f8394526301569

Observation e4a798c4-09f3-4702-8f62-8616f6c17d95 · outbound

This paper cites Gso: Challenging software optimization tasks for evaluating swe-agents, 2025.

Evaluating LLMs on Real-World Software Performance Optimization Gso: Challenging software optimization tasks for evaluating swe-agents, 2025

Reference 35

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:216212188d2565d747996cfe7e0225625391e60dec7270ec2caf7933da2a4330

Observation 59f168cc-90c5-4c62-a95f-08c729f62b7d · outbound

This paper cites Learning performance-improving code edits, 2024.

Evaluating LLMs on Real-World Software Performance Optimization Learning performance-improving code edits, 2024

Reference 36

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:70d3cc33d78d1315c2c8afe8f867a635c51930d78591fdd2070f2391d7f85576

Observation 1c5a8b2e-ddb4-4e78-848c-0bfdfee8a7b6 · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 37

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:07d49a1c755ae63de0749e447e13d270b1ec504a645ee6ce5c5041d5928c6e80

Observation 032fb1b0-b2bb-4b0f-8604-61a9e414b562 · outbound

This paper cites Ecco: Can we improve model-generated code efficiency without sacrificing functional correctness?, 2024.

Evaluating LLMs on Real-World Software Performance Optimization Ecco: Can we improve model-generated code efficiency without sacrificing functional correctness?, 2024

Reference 38

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:b81c09cd499df2b69de2bf0432f844e146dc9028538ce21d429bdb7ac35a7848

Observation ee6a826f-2f8a-426b-a3c8-3e2016dbb16c · outbound

This paper cites Perfgen: Automated performance benchmark generation for big data analytics, 2024.

Evaluating LLMs on Real-World Software Performance Optimization Perfgen: Automated performance benchmark generation for big data analytics, 2024

Reference 39

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no resolver link, observed 2026-06-25T20:09:37.551395Z

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:d3f1673f4a9ff188eefce12d56ffeb26a45f30c75d6d96ea86d51d0eca657cf9

Observation e88ba221-aa15-40c7-b58b-d471a5965476 · outbound

This paper cites GLM-51.https://z.ai/blog/glm-5.1, 2026.

Evaluating LLMs on Real-World Software Performance Optimization GLM-51.https://z.ai/blog/glm-5.1, 2026

Reference 40

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no resolver link, observed 2026-06-25T20:09:37.551395Z

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:db4f3a85bb40613083813c0da6bd8bc36db347eecaac62d6721d2fd135e7154a

Observation cf513d70-7dec-4dea-b36a-d50e499237b6 · outbound

This paper cites an unresolved cited work.

Evaluating LLMs on Real-World Software Performance Optimization Unresolved cited work

Reference 41

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:66b4fc80e7a9df25a891e8b89aa8d50833a8f19f1a231cae187904ac0264a4c5

Observation ec033e3d-f27b-4dad-b549-e7f97e707923 · outbound

This paper cites "" PR #50778 - Benchmark Series.replace when using a large dict for to_replace. Parameters: - N: Series length - R: Number of values to replace.

Evaluating LLMs on Real-World Software Performance Optimization "" PR #50778 - Benchmark Series.replace when using a large dict for to_replace. Parameters: - N: Series length - R: Number of values to replace

Reference 42

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no resolver link, observed 2026-06-25T20:09:37.551395Z

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source=pdf_text observed=2026-06-25T20:09:37.551395Z digest=sha256:46c54579c5f846d7333645dec5a1813cdac5f2b05c31845fa949c78ff6494a6a

Pith citing papers

No inbound Pith citation observations are available.