Paper Citation Record · LEDGER

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.16478.

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

pith.paper-citation-record.v1
2507.16478 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:12:40.202365Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy7
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c31ee44-1920-4618-b8e2-f24a2f7ea464 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Evaluating Large Language Models Trained on Code

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:38.212811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b40a7d3-9180-4c03-8a1e-a4c5646adad7 · outbound

This paper cites Effective test generation using pre-trained large language models and mutation testing.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Effective test generation using pre-trained large language models and mutation testing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:41.258886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee273123-2c41-4ca4-9534-f1e071723c23 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training LoRA: Low-Rank Adaptation of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:38.350043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71bfd607-32d2-4f0b-97db-531d9a1f86ef · outbound

This paper cites Qwen2.5-Coder Technical Report.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Qwen2.5-Coder Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:38.404921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae874c4-6e4a-4fbc-a4bd-71492144bbc7 · outbound

This paper cites Phrase-based statistical translation of programming languages.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Phrase-based statistical translation of programming languages

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:41.130565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80ef57f6-9230-4c83-bd50-703ed14d6531 · outbound

This paper cites MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:38.698937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eafc661-32c4-4711-91a7-c5bace634906 · outbound

This paper cites Automatic algorithm specification to source code translation.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Automatic algorithm specification to source code translation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:40.957917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2dae17b9-7806-4e9f-a854-f109ba10bb0a · outbound

This paper cites Migrating code with statistical machine translation.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Migrating code with statistical machine translation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:40.847722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c433eb66-fe12-4334-a17b-78dede956bc6 · outbound

This paper cites Statistical machine translation outperforms neural machine translation in software engineering: Why and how.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Statistical machine translation outperforms neural machine translation in software engineering: Why and how

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:40.604068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fb0756a-13c6-4119-b4cf-2ddc589634ef · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Zero: Memory optimizations toward training trillion parameter models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.116478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6353d321-9d71-4b0c-a4ea-b6cc4070ed55 · outbound

This paper cites Unsupervised translation of programming languages.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Unsupervised translation of programming languages

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:40.529936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e75e2b8-e627-4c14-85ed-09e9b1bfbaec · outbound

This paper cites Code Llama: Open Foundation Models for Code.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Code Llama: Open Foundation Models for Code

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.385220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5246923e-04b9-4787-8283-f9bf675c67e1 · outbound

This paper cites Better together? an evaluation of ai-supported code translation.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Better together? an evaluation of ai-supported code translation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:12:40.449439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 428becbe-1d1e-43da-9932-bf36a618cd44 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.637121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b601d8-db4a-4e35-afc7-19c4acac1df1 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.742162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9c1ba5-3475-4d4d-b28a-03a1afc6096e · outbound

This paper cites write newline.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training write newline

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.829840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56da0327-9e91-4d6b-85e3-a64c1afac689 · outbound

This paper cites @esa (Ref.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training @esa (Ref

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:39.933228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a2fa63-668c-42b8-a002-2512e5fb2df7 · outbound

This paper cites an unresolved cited work.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:40.056724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c91cec57-fe32-43be-a3ad-f117222b0f22 · outbound

This paper cites an unresolved cited work.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:12:40.202365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.