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Paper Citation Record · LEDGER

Prompting Large Language Model for Machine Translation: A Case Study

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2301.07069.

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

pith.paper-citation-record.v1
2301.07069 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:27:11.896769Z

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

68
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 c7837b65-5cbc-4d14-9ec6-39edf53b80f7 · inbound

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study cites this paper.

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study Prompting Large Language Model for Machine Translation: A Case Study

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:38:20.568302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T22:38:20.531809Z digest=sha256:e38258bfbfcfc62776d448df664e564b63b4eb6ad2e6be4bd6078c251cba7950

Observation 82bf5548-ca3f-4b36-9489-8488d2cef57c · inbound

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study cites this paper.

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study Prompting Large Language Model for Machine Translation: A Case Study

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T22:38:20.552572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T22:38:20.531809Z digest=sha256:151bf57a01d7904e6d1531e2f8a34c266fc705a57a9834fc4dfad03bf3313646

Observation 9b00ab62-b1ae-4bad-b750-90af5cc3125d · inbound

LLMs are Introvert cites this paper.

LLMs are Introvert Prompting Large Language Model for Machine Translation: A Case Study

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T19:27:11.896769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:27:11.896769Z digest=sha256:8912638595f2d01466805fe73e38b4d1f0211c33e605efbadad5db15580eb52f

Observation 281bb089-a410-4e6d-91fd-542c4f01d39d · inbound

Exploring Concreteness Through a Figurative Lens cites this paper.

Exploring Concreteness Through a Figurative Lens Prompting Large Language Model for Machine Translation: A Case Study

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:30:58.238743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:30:53.666343Z digest=sha256:2a66f64603ae61d9ea538feb55af49c1d3589115088978fe61ccf65ae6912553

Observation 558b2d10-3583-4881-855e-6f28cd419620 · inbound

Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows cites this paper.

Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows Prompting Large Language Model for Machine Translation: A Case Study

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:45.447069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T22:49:14.982600Z digest=sha256:3e60eabfa59bb60e2d6d02864605167f7bb4c2c5bd981ef13575e21456bc3918

Observation ff9576d1-23ef-4feb-ae88-e8df7371eb0a · inbound

Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation cites this paper.

Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation Prompting Large Language Model for Machine Translation: A Case Study

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T00:17:56.362668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:17:56.362668Z digest=sha256:48ab913319fb0aaaaa10530f699ad2837fa6e6d985f58dfe426aa7cea2bf5a6a