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Paper Citation Record · LEDGER

CODEMENV: Benchmarking Large Language Models on Code Migration

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2506.00894.

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

pith.paper-citation-record.v1
2506.00894 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:59:06.714122Z

measured 42 of 42 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:30.379749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:07:15.393586Z

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75ca58dd-054f-44e7-a6df-065a04d48ae1 · outbound

This paper cites URL: " 'urlintro :=.

CODEMENV: Benchmarking Large Language Models on Code Migration URL: " 'urlintro :=

Reference 1

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Observation 62b2a35c-e966-4234-94b9-cb8da1d2af67 · outbound

This paper cites write newline.

CODEMENV: Benchmarking Large Language Models on Code Migration write newline

Reference 2

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Observation 1bb80122-3074-4966-923e-d95b33ab4ba7 · outbound

This paper cites an unresolved cited work.

CODEMENV: Benchmarking Large Language Models on Code Migration Unresolved cited work

Reference 3

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Observation b594ae3e-66d0-45b4-a018-7887d73a1659 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

CODEMENV: Benchmarking Large Language Models on Code Migration Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 4

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Observation b384b4c8-d69f-4481-8ca6-2a66b1f4b68e · outbound

This paper cites The Llama 3 Herd of Models.

CODEMENV: Benchmarking Large Language Models on Code Migration The Llama 3 Herd of Models

Reference 5

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CODEMENV: Benchmarking Large Language Models on Code Migration Unresolved cited work

Reference 7

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Observation fd2553b5-141f-4518-9851-b5b947105bd3 · outbound

This paper cites https://aws.amazon.com/q/developer/transform/?nc1=h_ls Amazon q developer: Transform code.

CODEMENV: Benchmarking Large Language Models on Code Migration https://aws.amazon.com/q/developer/transform/?nc1=h_ls Amazon q developer: Transform code

Reference 8

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Source-reported events for the cited work

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Observation 4fa346f1-d144-4ce0-bc42-fa560aacbefe · outbound

This paper cites Multi-hop Question Answering under Temporal Knowledge Editing.

CODEMENV: Benchmarking Large Language Models on Code Migration Multi-hop Question Answering under Temporal Knowledge Editing

Reference 9

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CODEMENV: Benchmarking Large Language Models on Code Migration Unresolved cited work

Reference 10

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Observation d7d46a3a-a4b5-4082-a96b-f0f70c111a51 · outbound

This paper cites Towards Translating Real-World Code with LLMs: A Study of Translating to Rust.

CODEMENV: Benchmarking Large Language Models on Code Migration Towards Translating Real-World Code with LLMs: A Study of Translating to Rust

Reference 11

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Observation ed2fd0a4-3b53-4552-b62c-7816b1c40ce4 · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

CODEMENV: Benchmarking Large Language Models on Code Migration REALM: Retrieval-Augmented Language Model Pre-Training

Reference 12

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Observation 92adbaff-35b9-464f-bbbc-b74a1b31c06d · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

CODEMENV: Benchmarking Large Language Models on Code Migration Measuring Coding Challenge Competence With APPS

Reference 13

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Observation 891f559a-d704-4351-86c8-8344bece7880 · outbound

This paper cites Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

CODEMENV: Benchmarking Large Language Models on Code Migration Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 14

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Observation 062bb52f-971b-4436-a4bb-22448cc45030 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration Qwen2.5-Coder Technical Report

Reference 15

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Observation 91b04e0f-70d8-4997-8000-0090dfb77897 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration A Survey on Large Language Models for Code Generation

Reference 16

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CODEMENV: Benchmarking Large Language Models on Code Migration Unresolved cited work

Reference 17

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CODEMENV: Benchmarking Large Language Models on Code Migration M \"u ller, and John Mylopoulos

Reference 18

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Observation 2139f748-0c30-48c8-bfb0-6bf4d45b4209 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

CODEMENV: Benchmarking Large Language Models on Code Migration Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 19

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Observation 310442fa-d429-412d-babd-ccfda8091554 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration Model Editing for LLMs4Code: How Far are We?

Reference 20

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Observation 159cc923-fc87-4ce3-913f-e104b670e8eb · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration CodeUpdateArena: Benchmarking Knowledge Editing on API Updates

Reference 21

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CODEMENV: Benchmarking Large Language Models on Code Migration StarCoder 2 and The Stack v2: The Next Generation

Reference 22

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Reference 23

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Reference 24

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CODEMENV: Benchmarking Large Language Models on Code Migration GPT-4 Technical Report

Reference 25

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CODEMENV: Benchmarking Large Language Models on Code Migration GPT-4o System Card

Reference 26

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Observation 99456238-353b-4d49-a2b4-3f5f192aaab4 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 27

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CODEMENV: Benchmarking Large Language Models on Code Migration Code Llama: Open Foundation Models for Code

Reference 28

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CODEMENV: Benchmarking Large Language Models on Code Migration DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 29

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Reference 33

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CODEMENV: Benchmarking Large Language Models on Code Migration CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 34

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CODEMENV: Benchmarking Large Language Models on Code Migration A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 35

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CODEMENV: Benchmarking Large Language Models on Code Migration TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment

Reference 36

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Observation d78547ea-c620-4873-9b56-d01c35473967 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing

Reference 37

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Observation a84f675f-0de5-4051-bbdf-4f0cd55ec417 · outbound

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CODEMENV: Benchmarking Large Language Models on Code Migration MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

Reference 38

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Observation cbffc71e-3050-4255-b73e-f99970bfd3b4 · outbound

This paper cites Xu, Zhiruo Wang, Zhengbao Jiang, and Graham Neubig.

CODEMENV: Benchmarking Large Language Models on Code Migration Xu, Zhiruo Wang, Zhengbao Jiang, and Graham Neubig

Reference 39

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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.

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Observation c66812f2-60d0-4ebf-9a6e-03b45d8142b7 · outbound

This paper cites Migrating Code At Scale With LLMs At Google.

CODEMENV: Benchmarking Large Language Models on Code Migration Migrating Code At Scale With LLMs At Google

Reference 40

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 647b399e-e8af-4be9-aade-41a52febc26d · inbound

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs cites this paper.

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs CODEMENV: Benchmarking Large Language Models on Code Migration

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.395024Z

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.

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Observation cdb28e38-59cd-4712-8749-c39d55b7c548 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images CODEMENV: Benchmarking Large Language Models on Code Migration

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4316b9eb-f340-4de7-9c70-488dd8f315a3 · inbound

The Compositional Architecture of Regret in Large Language Models cites this paper.

The Compositional Architecture of Regret in Large Language Models CODEMENV: Benchmarking Large Language Models on Code Migration

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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