Pith. sign in

Paper Citation Record · LEDGER

Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.09812.

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

pith.paper-citation-record.v1
2410.09812 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:19:35.654219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:16:29.097993Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d36c95cd-9693-41c3-b46f-1a898a5fd2fa · inbound

A Systematic Literature Review on Neural Code Translation cites this paper.

A Systematic Literature Review on Neural Code Translation Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T22:19:35.654219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:19:35.654219Z digest=sha256:8e82395c5b8f053476823408f106175bd153e7fa119e8c26aa3d9d92c9a0cdaa

Observation ad6658a7-8311-4e68-9cfd-4d4a5d3f07ee · inbound

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

Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization Unraveling the Potential of Large Language Models in Code Translation: How Far Are We?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:29.104062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:25:03.381218Z digest=sha256:82fe4a056feef1596875256c856f0eca20afa12c01431134063946ebed90daca