Paper Citation Record · LEDGER

Context-Aware CodeLLM Eviction for AI-assisted Coding

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2506.18796.

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

pith.paper-citation-record.v1
2506.18796 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:24.185288Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:57:08.161293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:26:10.481590Z

Reference resolution

56 of 56 outbound references displayed

verified exact0
verified fuzzy36
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33c115ce-d1fe-4809-beaa-74f50f84731b · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Context-Aware CodeLLM Eviction for AI-assisted Coding A Survey on Large Language Models for Code Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:18.908989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21c32ab-7e91-4a5a-aba2-eb457ef03334 · outbound

This paper cites A systematic evaluation of large language models of code,.

Context-Aware CodeLLM Eviction for AI-assisted Coding A systematic evaluation of large language models of code,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:18.942544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 298d550a-becb-41f6-adb0-7b5c90962cb7 · outbound

This paper cites Measuring github copilot’s impact on productivity,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Measuring github copilot’s impact on productivity,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.017063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d34daa8-d0f8-46b4-9507-d437d8c0301e · outbound

This paper cites Cursor: The ai code editor,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Cursor: The ai code editor,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:30.579052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6809c2c4-d8ac-4f84-bcc6-8fdd3ca031ac · outbound

This paper cites Github copilot: The ai editor for everyone,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Github copilot: The ai editor for everyone,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:30.335863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56b6aa57-1a6d-4496-aa5d-96e3961ffd97 · outbound

This paper cites Ai-assisted code author- ing at scale: Fine-tuning, deploying, and mixed methods evaluation,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Ai-assisted code author- ing at scale: Fine-tuning, deploying, and mixed methods evaluation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.263061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02811817-9b95-453b-980d-5ce02d8c98fc · outbound

This paper cites Amazon q developer: The most capable generative ai–powered assistant for software development,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Amazon q developer: The most capable generative ai–powered assistant for software development,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:30.214037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a250113-0327-4d70-8d08-4c005f62e08a · outbound

This paper cites Intellij ai editor,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Intellij ai editor,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:30.084332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79698efe-a239-4db5-ae2d-3602c0e663c9 · outbound

This paper cites Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:29.731060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7d786ab-b699-4e58-8ffb-042e5fe81e84 · outbound

This paper cites On the effectiveness of large language models in domain-specific code generation,.

Context-Aware CodeLLM Eviction for AI-assisted Coding On the effectiveness of large language models in domain-specific code generation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:29.470053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8241b55-e3bb-48e2-a0d0-49b391f5df83 · outbound

This paper cites CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution.

Context-Aware CodeLLM Eviction for AI-assisted Coding CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.618328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7650a9d1-4c31-477b-ba07-e8f36649da12 · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

Context-Aware CodeLLM Eviction for AI-assisted Coding McEval: Massively Multilingual Code Evaluation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.682558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1c11479-f28a-4a42-bc69-235e25429e39 · outbound

This paper cites Mellum-4b-base,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Mellum-4b-base,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:29.310277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f50229b-2e41-4263-b156-91b13bdddb4e · outbound

This paper cites Full line code completion in jetbrains ides: All you need to know,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Full line code completion in jetbrains ides: All you need to know,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:29.138081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d6b24bf-1b83-4f6b-8e27-e3a89ff24d33 · outbound

This paper cites On the effectiveness of large language models in domain- specific code generation,.

Context-Aware CodeLLM Eviction for AI-assisted Coding On the effectiveness of large language models in domain- specific code generation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:19.867656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec7ca93-7dcb-463a-bad5-b482241a2f67 · outbound

This paper cites Domaineval: An auto-constructed benchmark for multi-domain code generation,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Domaineval: An auto-constructed benchmark for multi-domain code generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.890925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0904d638-aeba-4947-b584-d841fe08cb74 · outbound

This paper cites Evocodebench: An evolving code generation benchmark with domain-specific evaluations,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Evocodebench: An evolving code generation benchmark with domain-specific evaluations,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.794793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 004e92b6-2cf3-4757-afd8-e981219f7fd5 · outbound

This paper cites Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark.

Context-Aware CodeLLM Eviction for AI-assisted Coding Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:20.078029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4541e0a-62ae-4880-9a62-5322bbebdef6 · outbound

This paper cites Full Line Code Completion: Bringing AI to Desktop.

Context-Aware CodeLLM Eviction for AI-assisted Coding Full Line Code Completion: Bringing AI to Desktop

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:20.130033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 841b42a8-fde7-4425-8897-729556363132 · outbound

This paper cites Multi-line ai-assisted code authoring,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Multi-line ai-assisted code authoring,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.624738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58c81930-fd8e-43f8-9658-88b4f266165b · outbound

This paper cites An empirical analysis of the utilization of mul- tiple programming languages in open source projects,.

Context-Aware CodeLLM Eviction for AI-assisted Coding An empirical analysis of the utilization of mul- tiple programming languages in open source projects,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.523653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31ad8ead-c98b-4362-b8b6-789f0cd27039 · outbound

This paper cites Multi-programming- language commits in oss: an empirical study on apache projects,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Multi-programming- language commits in oss: an empirical study on apache projects,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.377098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8260b052-1695-4167-be57-33e6b4be3f79 · outbound

This paper cites A large scale study of multiple programming languages and code quality,.

Context-Aware CodeLLM Eviction for AI-assisted Coding A large scale study of multiple programming languages and code quality,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.221724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f18f233-e58e-45db-befa-f7f3370bbb42 · outbound

This paper cites Multi-language software development: Issues, challenges, and solutions,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Multi-language software development: Issues, challenges, and solutions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:28.098793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 51b4cef8-aec5-4d8e-87ed-7da0de47cde5 · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

Context-Aware CodeLLM Eviction for AI-assisted Coding MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:20.600047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebcb3fc3-ba55-4e3d-a877-c09e304fdd43 · outbound

This paper cites Llms are helpful with python, but what about all of the other programming languages?.

Context-Aware CodeLLM Eviction for AI-assisted Coding Llms are helpful with python, but what about all of the other programming languages?

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.896887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 46ecddef-e074-4fb4-b1bf-2670142707f3 · outbound

This paper cites Eu ai act: first regulation on ar- tificial intelligence,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Eu ai act: first regulation on ar- tificial intelligence,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.695960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdf78879-f1d4-4f64-a7d3-2de461bccc89 · outbound

This paper cites Unveiling security, privacy, and ethical concerns of chatgpt,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Unveiling security, privacy, and ethical concerns of chatgpt,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.563699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 303dbeb1-9e25-4774-8743-a8593bc2cf18 · outbound

This paper cites Security and privacy challenges of large language models: A survey,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Security and privacy challenges of large language models: A survey,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:20.827210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1ea8e8-83ab-4425-a09b-2de1abf0f39c · outbound

This paper cites Ray serve model multiplexing,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Ray serve model multiplexing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.406181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36285f90-c665-4aec-8e5a-d0bcbf05ab7c · outbound

This paper cites Handle concurrent requests in ollama,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Handle concurrent requests in ollama,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.238398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 733bff30-dd92-4129-afeb-f6f1be9e0bae · outbound

This paper cites Get started with kserve modelmesh for multi-model serving,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Get started with kserve modelmesh for multi-model serving,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:27.054569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8b68a6b8-63d8-4ff3-b44b-e1fbbe3545af · outbound

This paper cites Available: https://developer.ibm.com/tutorials/ awb-get-started-with-kserve-modelmesh-for-multi-model-serving/.

Context-Aware CodeLLM Eviction for AI-assisted Coding Available: https://developer.ibm.com/tutorials/ awb-get-started-with-kserve-modelmesh-for-multi-model-serving/

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.926522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8a418c8-3238-47aa-a3e3-859ca1fca568 · outbound

This paper cites Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference.

Context-Aware CodeLLM Eviction for AI-assisted Coding Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:21.326573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb1a229-b3f0-4e96-8181-07efa6d121a0 · outbound

This paper cites Cace replication package,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Cace replication package,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.745846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d9649160-c6c1-4f19-bced-74b27029b5a9 · outbound

This paper cites Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE.

Context-Aware CodeLLM Eviction for AI-assisted Coding Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:21.665744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 793d70c4-dbd2-4019-b74b-7e0ceb0b49e2 · outbound

This paper cites Future of programming with ai — lex fridman podcast 447,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Future of programming with ai — lex fridman podcast 447,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.636686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40754a9e-14de-4b14-8c84-e60493fb549b · outbound

This paper cites Multi-step Jailbreaking Privacy Attacks on ChatGPT.

Context-Aware CodeLLM Eviction for AI-assisted Coding Multi-step Jailbreaking Privacy Attacks on ChatGPT

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:21.849271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f63475-49cd-4353-a86a-b49f5b83ff11 · outbound

This paper cites Privacy and security challenges in large language models,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Privacy and security challenges in large language models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.491741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28b5e9c4-417b-4f90-a39e-5ddc7aefd70e · outbound

This paper cites Ai privacy risks & mitigations large language models (llms),.

Context-Aware CodeLLM Eviction for AI-assisted Coding Ai privacy risks & mitigations large language models (llms),

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.375085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8c832e3-eabc-4f6f-b6c9-f7ba9d92673c · outbound

This paper cites Qwen2.5-Coder Technical Report.

Context-Aware CodeLLM Eviction for AI-assisted Coding Qwen2.5-Coder Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:22.232878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95edbf48-3f21-4d19-a47d-761c1e37c117 · outbound

This paper cites Codestral: Empowering developers and democratising coding with mistral ai,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Codestral: Empowering developers and democratising coding with mistral ai,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.252954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17cefefe-6386-4ce1-92a9-2cb87228126c · outbound

This paper cites The redmonk programming language rankings: June 2024,.

Context-Aware CodeLLM Eviction for AI-assisted Coding The redmonk programming language rankings: June 2024,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:26.167864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56ffdcf4-00c2-4f9b-ad99-e98e999179d3 · outbound

This paper cites Tiobe index for may 2025,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Tiobe index for may 2025,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:25.993949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 84f5361e-94ff-4dde-bd7c-fd1f247265cb · outbound

This paper cites Developers & ai coding assistant trends,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Developers & ai coding assistant trends,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:25.761296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7287e7d3-452c-4d33-8236-deccee0c1c2d · outbound

This paper cites The state of developer ecosystem 2023,.

Context-Aware CodeLLM Eviction for AI-assisted Coding The state of developer ecosystem 2023,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:25.541253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a2341c5-2d3a-4663-9c2b-66021ddcb696 · outbound

This paper cites Developer sentiment around ai/ml,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Developer sentiment around ai/ml,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:25.291770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a9f25dc9-7976-4f91-bac6-9f2bf94f0869 · outbound

This paper cites Exegpt: Constraint-aware resource scheduling for llm inference,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Exegpt: Constraint-aware resource scheduling for llm inference,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:25.100376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a4f6a46-9eb7-4256-8008-9f154e96eb0c · outbound

This paper cites {ServerlessLLM}:{Low-Latency}serverless inference for large language models,.

Context-Aware CodeLLM Eviction for AI-assisted Coding {ServerlessLLM}:{Low-Latency}serverless inference for large language models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:24.950680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9a4f55c-fa6e-4801-bf2d-689cfb886b16 · outbound

This paper cites Model hotswapping: Optimizing ai infrastructure and enhancing llm efficiency,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Model hotswapping: Optimizing ai infrastructure and enhancing llm efficiency,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:24.752769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d87c19b-60f9-4dd5-ac13-6ba1b6b2f2d6 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Efficient memory management for large language model serving with pagedattention,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:23.535291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ebc106-9a77-4460-ad36-25dc35abfd6d · outbound

This paper cites Pie: Pooling CPU Memory for LLM Inference.

Context-Aware CodeLLM Eviction for AI-assisted Coding Pie: Pooling CPU Memory for LLM Inference

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:23.678478Z

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Observation 1260fc1d-e304-46e9-a9e4-7f24c879f7a6 · outbound

This paper cites Flexgen: High-throughput generative inference of large language models with a single gpu,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Flexgen: High-throughput generative inference of large language models with a single gpu,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:23.827412Z

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Observation 4750649b-745e-4bd8-9c0a-c37ca927ed26 · outbound

This paper cites Towards understanding the mixture-of-experts layer in deep learning,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Towards understanding the mixture-of-experts layer in deep learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:20:24.586860Z

Source-reported events for the cited work

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Observation aaa6ea3a-fee0-465e-b561-3f15d3dd9797 · outbound

This paper cites Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models.

Context-Aware CodeLLM Eviction for AI-assisted Coding Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:24.032292Z

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Observation ed928158-fa24-479a-91a1-20625314170c · outbound

This paper cites Deepspeed-moe: Advancing mixture- of-experts inference and training to power next-generation ai scale,.

Context-Aware CodeLLM Eviction for AI-assisted Coding Deepspeed-moe: Advancing mixture- of-experts inference and training to power next-generation ai scale,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:24.185288Z

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Pith citing papers

Observation 82bb0786-24d7-4a8a-9178-4e440e1c1220 · inbound

Agentic Software Engineering: Foundational Pillars and a Research Roadmap cites this paper.

Agentic Software Engineering: Foundational Pillars and a Research Roadmap Context-Aware CodeLLM Eviction for AI-assisted Coding

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T23:57:08.161293Z

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Observation f29a12b1-d522-4d50-a614-077fb30f5e7b · inbound

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs cites this paper.

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs Context-Aware CodeLLM Eviction for AI-assisted Coding

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:26:10.487020Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.