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Paper Citation Record · LEDGER

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.14646.

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

pith.paper-citation-record.v1
2404.14646 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:42:52.338723Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f6cb098-87fc-4929-9503-1f849f74a624 · inbound

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing cites this paper.

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:18:31.220379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T22:17:02.681066Z digest=sha256:024da76c3dc65ab3fd60ed52bf3b210cb44d2a2fed3b32fc7d8149d045a3501c

Observation dcfb9d61-7184-44c0-a83e-163b45e3bb81 · inbound

Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration cites this paper.

Fortran2CPP: Automating Fortran-to-C++ Translation using LLMs via Multi-Turn Dialogue and Dual-Agent Integration Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T23:56:14.502560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:56:14.502560Z digest=sha256:010fa0586bcc7a32fcc5957152e0a09868283f3748c182dd899e52bdf2dee3e2

Observation c216d656-5c59-4d72-a6fd-5933954e646c · inbound

APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs cites this paper.

APIRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:42:52.338723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:42:52.338723Z digest=sha256:ab16f967235b4ba9c8a03bdafb2a7a4dec9877c667a6a0cc4d018a2e492b5a54

Observation a35fa226-3224-4509-8f41-964551e9d89f · inbound

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis cites this paper.

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:41:02.251748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:53:42.720172Z digest=sha256:ab2aa9bf4c6ac6bf23f0814502af43aed1f5dabb973d576f6270638b9e25d883

Observation 87cd6ee6-3785-4f06-ba04-f347cfbdc6b6 · inbound

Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization cites this paper.

Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:29.010621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:25:03.381218Z digest=sha256:911d4b3791415c8a04d91dc8c7cc82fccc2934d1d34fa28aa89a387882fe7a3b