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Paper Citation Record · LEDGER

Extrapolating Large Language Models to Non-English by Aligning Languages

As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.04948.

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

pith.paper-citation-record.v1
2308.04948 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:16:42.836058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:09.908959Z

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 6d5c6de7-8506-4652-b53b-15d7be5c70a7 · inbound

M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets cites this paper.

M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:46:37.548826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-18T16:45:41.475107Z digest=sha256:ea9bbbcd9811e633c654f0c368efe1fee433f8d2e91bdcca791d5f8f64a76e1a

Observation 34c11d67-4c3c-4f59-ad1c-5c266ed09991 · inbound

The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models cites this paper.

The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:49:48.390517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T00:49:14.664789Z digest=sha256:4d0233d086e8e0873bb42261b8e58e2d0649aedfef13d9160480080d53264464

Observation e4d18b47-5044-4a93-9b7a-993bd3a92d13 · inbound

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment cites this paper.

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:37:52.297282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-14T19:35:10.026293Z digest=sha256:2f0e1c83584b6f31f2c40e0a97570f6a505bf9e3eed246cf2dbf2c735d4b210d

Observation 1382dddd-ed81-4c8f-a3bd-c05ff87e8fc4 · 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 Extrapolating Large Language Models to Non-English by Aligning Languages

Reference 111

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:09.910757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-06-27T22:16:42.836058Z digest=sha256:a06565b17991e35e84d4d597ca511142934f09a9a473667168ddb0dcb7850f11