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Paper Citation Record · LEDGER

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2309.04662.

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

pith.paper-citation-record.v1
2309.04662 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:24:49.165654Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:38:15.886010Z

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 fffee8a9-5b32-41ef-b5d9-ab6c71ac977e · inbound

Scalable Extraction of Training Data from (Production) Language Models cites this paper.

Scalable Extraction of Training Data from (Production) Language Models MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:00:46.793758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T19:00:46.708242Z digest=sha256:491a659e3ff9b236f282aa76a9a19ffef436dcafcd87be49a0e25569470f67f0

Observation 940d873c-c756-4f82-b402-aa8e2dbf6066 · inbound

Gemma: Open Models Based on Gemini Research and Technology cites this paper.

Gemma: Open Models Based on Gemini Research and Technology MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T15:54:09.051966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T15:54:08.950440Z digest=sha256:cb7c73549cedb7ca0436e43717dd165fd81ba10b956872ba5235dae426c99592

Observation 99d958ca-fe43-46f7-83de-4e36a0fd134c · inbound

Gemma 2: Improving Open Language Models at a Practical Size cites this paper.

Gemma 2: Improving Open Language Models at a Practical Size MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:11:16.495999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:f5a3c97b0ba1fd6ef8520760b9ce7d2b51011f7f3f6d1e1edbeedf1960151d56

Observation 7721ac03-a23d-4f67-bf8c-7dd163b2737f · inbound

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP cites this paper.

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:38:15.888700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-23T17:36:18.451771Z digest=sha256:35682ce500d0e530f8846f6051a0bd76905267cc93dbf2686b1cb22704cc6776

Observation f2bb4467-ca6e-481d-8992-136a42975226 · inbound

Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages cites this paper.

Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T17:24:49.165654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:24:49.165654Z digest=sha256:206dcd72de8d89a3701aa11b98296af75a0978d39093088f90513753d4d5f1e3

Observation dd9202d7-2d85-4ae6-9bb1-aab1fac28fda · inbound

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study cites this paper.

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T12:03:33.138165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:03:33.138165Z digest=sha256:16ce122b3db11e53b9c7692b28c33b5d088f7d09ed9b1446f1446f3cce135e09

Observation 34a2e0ca-1682-4e9a-897b-bbf0f760bbcc · inbound

BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation cites this paper.

BOUQuET: dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T22:52:31.560467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:52:31.560467Z digest=sha256:02a446cca79a54f74f0e3ef477e8df6011bfbddc43e10a1e3dd0cf37cd609b2f

Observation 9000be99-b14c-4605-83f8-9ab09da30319 · inbound

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits cites this paper.

In-Domain African Languages Translation Using LLMs and Multi-armed Bandits MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:35.249185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:35.249185Z digest=sha256:2db257f23449200afac38b6896c23a7516a0078928276a226c8dbe52a2937b9a

Observation ef03d14c-8bab-4e19-bc7c-4631bb682693 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.731383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:254921b214f72598faf2f8e9a747c7e4df02f09778e1c453fdf932a4bb55ffab

Observation 2d1dd0f0-c3dd-4527-a4e6-2a1b85819e3a · inbound

The first open machine translation system for the Chechen language cites this paper.

The first open machine translation system for the Chechen language MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T16:48:39.505487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:48:39.505487Z digest=sha256:dca9cf35d6d840022be8741838eb7eca5462a1e29570a74b64348fc1f8e42520

Observation 0c0c7417-8305-4541-9351-d426b52903ec · inbound

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages cites this paper.

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:44.269667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:44.269667Z digest=sha256:aa99df64bbdc0c75c342ce10b0ffed7eaa1aba0130c8c252d9f95ce6f391db1f

Observation 4fe60d94-46bf-4b97-8ec6-3261ac25251d · inbound

Cross-Lingual Transfer for Machine Translation in Turkic Languages cites this paper.

Cross-Lingual Transfer for Machine Translation in Turkic Languages MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T08:43:37.694364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:43:37.694364Z digest=sha256:bb0a57c82b7980d39781530c94898808a58a0fe5a2f8a108f21872eca3a3b495