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Paper Citation Record · LEDGER

Towards Making the Most of ChatGPT for Machine Translation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.13780.

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

pith.paper-citation-record.v1
2303.13780 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:55.779668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.914744Z

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 ce7ffd48-8df9-4541-99a9-50ce121f838f · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Towards Making the Most of ChatGPT for Machine Translation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:14:10.359302Z

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.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:44ce458e06d54831cdb7fe993a6708f9caafc296d6893b352ff153d607a2f648

Observation af68a80f-6bc9-45b7-a193-6f2a22c190ba · inbound

Learning to Ask: When LLM Agents Meet Unclear Instruction cites this paper.

Learning to Ask: When LLM Agents Meet Unclear Instruction Towards Making the Most of ChatGPT for Machine Translation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:13:28.033504Z

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.

source=arxiv_source observed=2026-05-23T21:08:42.276002Z digest=sha256:02123486fb418c775323000e061a4b25e6ff6e7f99f6b8796f570e6e853f4b5a

Observation 4535789b-8ab6-4a50-be76-1279be7742d5 · inbound

Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models cites this paper.

Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models Towards Making the Most of ChatGPT for Machine Translation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:56:55.779668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:56:55.779668Z digest=sha256:168da42be34c54daa56c64c647bc0a475f969cc3ffe529270525b94f7dcfb26a

Observation dccd5a4e-c9db-4b74-8998-06e3ad3ba456 · inbound

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message cites this paper.

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message Towards Making the Most of ChatGPT for Machine Translation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T19:41:51.188219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:41:51.188219Z digest=sha256:3678da0f4990487a818335dd02a31e60175740d1211f02e3af3a5d31b0ceefe6

Observation 6ecca411-37cb-4a02-bd39-650fcedc3d9c · inbound

Bangla-Bayanno: A 52K-Pair Bengali Visual Question Answering Dataset with LLM-Assisted Translation Refinement cites this paper.

Bangla-Bayanno: A 52K-Pair Bengali Visual Question Answering Dataset with LLM-Assisted Translation Refinement Towards Making the Most of ChatGPT for Machine Translation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:07.083277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:25:07.083277Z digest=sha256:c11907af0f1e4bc9c1b5174d20ede6e4fb97a8764258360b3386b83f64754a1e

Observation 57d2e7bf-7e01-4b75-a186-164ac4251461 · inbound

Large Language Models for Security Operations Centers: A Comprehensive Survey cites this paper.

Large Language Models for Security Operations Centers: A Comprehensive Survey Towards Making the Most of ChatGPT for Machine Translation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T17:32:20.846339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:32:20.846339Z digest=sha256:6a59d16530313accfd1782ce3dc90501ba4fc0c4027e1d40f58d93f61531c70f

Observation 818c9f15-e196-4947-883e-39bc03bac38a · inbound

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing cites this paper.

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing Towards Making the Most of ChatGPT for Machine Translation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:56:04.355802Z

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.

source=pdf_text observed=2026-05-10T17:21:43.379525Z digest=sha256:e4f24cdaacc41e6e9dc76ce3da91e3388786d8ffd632f8ec18d7c21b3e025940

Observation 9669260f-ac7f-4f8f-a7f1-dafd4036a29f · inbound

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights cites this paper.

MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights Towards Making the Most of ChatGPT for Machine Translation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:09.916908Z

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.

source=arxiv_source observed=2026-06-27T22:16:42.836058Z digest=sha256:dd41fa23ec2d00a43656fb5e7c8094747cd1427a5f533843f19c4d73601562f5