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Paper Citation Record · LEDGER

MLQA: Evaluating Cross-lingual Extractive Question Answering

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1910.07475.

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

pith.paper-citation-record.v1
1910.07475 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:52.352448Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:39:24.032831Z

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 ddaedff0-cfdc-406c-9c0a-c88868687af0 · inbound

Unsupervised Cross-lingual Representation Learning at Scale cites this paper.

Unsupervised Cross-lingual Representation Learning at Scale MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T16:23:29.615571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T16:23:29.564169Z digest=sha256:911dd7014f786ef8c5dd0c50aa99f9dbfc5ff084b0805ecf9d8fadee98965c0e

Observation 5ac19f93-9e17-4dc9-ba35-b6c55a0af7d4 · inbound

Automated Journalistic Questions: A New Method for Extracting 5W1H in French cites this paper.

Automated Journalistic Questions: A New Method for Extracting 5W1H in French MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:32:52.352448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:32:52.352448Z digest=sha256:10aca86d81d67c786a4308d33ad0a9114a7a489c822d0c0c1cd0866bbaa2b5e2

Observation 085a8074-d593-4fcd-a577-8ab345e0d934 · inbound

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models cites this paper.

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:30.570743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:19:30.570743Z digest=sha256:72fb43592f0b1d8591bc8ea03c2c0dd60e02f88f0f185fb7ed1a3a02ffba89f4

Observation a4df9112-b425-4bab-9a7c-733ddfffe380 · inbound

IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems cites this paper.

IndicRAGSuite: Large-Scale Datasets and a Benchmark for Indian Language RAG Systems MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:31.694684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:31.694684Z digest=sha256:884485e485c2de6ff6b2a99c93c3dc97e8afe9e70a842410fbe1b4b01593eed9

Observation 072cbc6c-d94e-493c-9e08-bb7b96b8a997 · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:39.718750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:39.718750Z digest=sha256:e4a1403ae1eed9a0bb78b941b9c0c402d02fd4bb304a018dce45dfab73b8d27f

Observation 01df0fa0-210f-4ab4-87e1-be763845b75b · inbound

TyDi QA-WANA: A Benchmark for Information-Seeking Question Answering in Languages of West Asia and North Africa cites this paper.

TyDi QA-WANA: A Benchmark for Information-Seeking Question Answering in Languages of West Asia and North Africa MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T14:42:57.570508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:42:57.570508Z digest=sha256:b9e580e1b6d128882c0d4d58fcb522a194860d21aec1b5455a5311d730637b72

Observation bf193e24-438a-425f-93ac-cb718708a220 · inbound

Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision cites this paper.

Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T18:42:09.093355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:42:09.093355Z digest=sha256:3b8507ecdeab26fbd126e24e50450bef56cbf451a0c01f63eb7d36ad3806aa9d

Observation 228bf18d-51a3-4f0c-9831-cdedea1eabd1 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 176

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:38:21.784883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T14:33:36.100966Z digest=sha256:c21ee5015f69c7780ddab05ef6e67e266d62f7767411fdb409bda0218bc83ca4

Observation ca61cec3-c90b-4483-9af4-a8fb19f9927c · inbound

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval cites this paper.

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:39:24.034388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T19:38:01.564336Z digest=sha256:8f778669543bc039862755ed5500649301d099f5b6951331e4b84a770aecf3b0

Observation 833308a3-d9df-4060-8d56-91bffee2aa52 · inbound

SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs cites this paper.

SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs MLQA: Evaluating Cross-lingual Extractive Question Answering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T16:14:38.344695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:14:38.344695Z digest=sha256:a02c98b063ca268034565a431b1fe0adef975fd572256ee98b45fe9688faa186