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Paper Citation Record · LEDGER

TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.16379.

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

pith.paper-citation-record.v1
2402.16379 v3

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:58.952388Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:53:33.695994Z

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 1ef8e2a5-d8af-4d19-9b5e-64d35e7d202b · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:36.485209Z

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=2026-05-11T23:08:34.312466Z digest=sha256:30a8943310f4a453ae37560b3bc17968ed80f693eda52a77e5d4c73820b07fb0

Observation 0c29c512-5d09-4072-8db4-4edac912a1d6 · inbound

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning cites this paper.

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:58.952388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:58.952388Z digest=sha256:9396cb458d4383a80453facbb2ec04add1b91720fd32dc5aeecdbea653792b6f

Observation 8afb3ac0-2960-4175-ba6d-acd4b300ea03 · inbound

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration cites this paper.

TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:23.501008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:23.501008Z digest=sha256:50e065c554a86a5621489f45f100469f56a77fd26798142afec64733d4cdc232

Observation a25573f9-1556-4291-bdd0-a81b80cd3771 · inbound

Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design cites this paper.

Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:53:33.697380Z

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=2026-05-20T15:50:37.661506Z digest=sha256:8aba60147734dcaa80c8187c543761dcceb3f9834e744d07448c16feeb907cc0

Observation 88a8a4ce-aa82-44e0-91ed-98d7ce5e593c · inbound

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs cites this paper.

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T16:06:04.707133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T16:06:04.707133Z digest=sha256:eb4b11a8593aafc7d1961542bbc15b78087a89b98221da1199f70347b6de658c