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Paper Citation Record · LEDGER

Ruri: Japanese General Text Embeddings

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.07737.

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

pith.paper-citation-record.v1
2409.07737 v1

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:56.779853Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:59:51.171370Z

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 ee355f65-afc6-4064-8ff2-d9e9f1b8aff7 · inbound

llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length cites this paper.

llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length Ruri: Japanese General Text Embeddings

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T11:27:56.779853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:27:56.779853Z digest=sha256:728e67bdc22bc471efe216bfce414afd4348cc8402c88249129eea1e88343c07

Observation 60351907-1538-4010-aa8a-e0a20c6c53e3 · inbound

JFinTEB: Japanese Financial Text Embedding Benchmark cites this paper.

JFinTEB: Japanese Financial Text Embedding Benchmark Ruri: Japanese General Text Embeddings

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:57:15.273029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T07:56:16.643878Z digest=sha256:2be0685439baa61551ddcfa7547c785e5497bb34a5a032db47dc8c50bb08f45e

Observation 0da3e15f-b5a8-4dec-b603-b6bffac6cceb · inbound

Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models cites this paper.

Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models Ruri: Japanese General Text Embeddings

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:37:56.874193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T09:55:07.870465Z digest=sha256:e2adb567b42d55903a49f79f310ba1235c1cbc9b6f4d96c9a3657bb86e9a2644

Observation d334ff30-11dd-4486-bd79-2e95c366b0aa · inbound

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions cites this paper.

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions Ruri: Japanese General Text Embeddings

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:59:51.173993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T07:22:34.547816Z digest=sha256:2e8a634d13f872c2eba67b45fd0aba68b0a2b1ddada5f0300f43ffd408847601

Observation 5acef851-950c-478d-b090-e579cc6e1f9f · inbound

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders cites this paper.

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders Ruri: Japanese General Text Embeddings

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-01T03:16:00.711890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:16:00.711890Z digest=sha256:bedcee8c98df5c863b19f6704abd897c1e19818c998f4d8239c4f5244c413294