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Paper Citation Record · LEDGER

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2108.08787.

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

pith.paper-citation-record.v1
2108.08787 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:11:09.856114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:15:16.333814Z

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 942ebef1-005a-4f4b-9aa1-0542afc62950 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-12T13:21:17.370664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T13:21:16.921001Z digest=sha256:63542e2975e7b025ebe376385b87aed85de13694aeb63301da0fa50b278c18dc

Observation c1cdca7f-1eef-4e6e-a6d0-22e792f5ac5d · inbound

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation cites this paper.

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:39:03.466568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T22:39:02.540687Z digest=sha256:c138b09d62a9c2d1b19e7c0e393b026443cbcb39273ab4b021be11559c8d45ba

Observation f07e72cf-bb63-4a1a-b37c-5e647e3b36dc · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:15:16.336423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-14T21:15:16.112918Z digest=sha256:8f9d10d1a687463b02b9102ac56a6cb271d1044667b0b3afba9287c0486c438e

Observation 2720cc22-9234-43b3-90ca-e03afbbaf30b · inbound

QZhou-Embedding Technical Report cites this paper.

QZhou-Embedding Technical Report Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T14:11:09.856114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:11:09.856114Z digest=sha256:a37d73c8e7c588e22d2493f30e8e2987df45cfb12f09eaafe98b1ce710450b94

Observation 79c0f564-79c2-467b-a564-0beaf36abc0e · inbound

Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank cites this paper.

Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:57:09.118759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T02:55:40.840979Z digest=sha256:b019729d014ec673801b9f4116b8455ef9914dd529ef82decffb1194d784c4ae