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Paper Citation Record · LEDGER

Escaping the sentence-level paradigm in machine translation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.12959.

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

pith.paper-citation-record.v1
2304.12959 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:54.116554Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:34:21.351451Z

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 8a348aee-c200-4ff4-94da-42c6e80638f2 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation Escaping the sentence-level paradigm in machine translation

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.317462Z

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=2026-05-14T00:57:10.262350Z digest=sha256:5d66fb0b38f43f4965b70ed11c217cda2f9237a48575575db82a4293f0560d88

Observation 83300061-1fbe-49b8-9b53-6a1e7c1e6c00 · inbound

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models cites this paper.

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models Escaping the sentence-level paradigm in machine translation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:54.116554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:33:54.116554Z digest=sha256:44b18c14cb9ed35821dd8ec77a3a5addc440430520201b074d52dfc8b3daf956

Observation 74e0cf47-bf24-4ca7-b6a7-6e493a3348e9 · inbound

MLLP-VRAIN UPV system for the IWSLT 2025 Simultaneous Speech Translation Translation task cites this paper.

MLLP-VRAIN UPV system for the IWSLT 2025 Simultaneous Speech Translation Translation task Escaping the sentence-level paradigm in machine translation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:34.783651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:20:34.783651Z digest=sha256:89758c10e70bc30a4047b9e18570835a03cc3b84a67ab117180a04ef2859e4b9

Observation 290ad5b4-97ec-4c8f-a9b5-0394e37f8cfc · inbound

Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy cites this paper.

Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy Escaping the sentence-level paradigm in machine translation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:34:21.354083Z

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=2026-06-30T07:32:49.971762Z digest=sha256:d47b801726535e68f09dec6bb9dc2d5b2da0c6243814b71387055e66c41af6e4

Observation e56a42ab-dee4-4d50-829c-020efc83f6fa · inbound

Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation cites this paper.

Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation Escaping the sentence-level paradigm in machine translation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T03:00:44.063286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:00:44.063286Z digest=sha256:d8ee460cdaa75546f0114381accd4c1c615d1d820551bb869fad0eaa6f8b9f87