Paper Citation Record · LEDGER

Release of Pre-Trained Models for the Japanese Language

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01657.

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

pith.paper-citation-record.v1
2404.01657 v1

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 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:45:05.825373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:03.196096Z

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 13a42c5d-e0c3-44cd-9d5f-7333411418e8 · inbound

Image Score: Learning and Evaluating Human Preferences for Mercari Search cites this paper.

Image Score: Learning and Evaluating Human Preferences for Mercari Search Release of Pre-Trained Models for the Japanese Language

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:43:28.576844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97f1756f-f98f-4fd3-91bb-0e7ee50f6fc6 · inbound

Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings cites this paper.

Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings Release of Pre-Trained Models for the Japanese Language

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T14:11:38.375678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 42f00e3f-979e-4681-bd13-3e9a850f2005 · inbound

Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models cites this paper.

Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models Release of Pre-Trained Models for the Japanese Language

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:11:27.654840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41cd1eb8-187e-487b-9e83-24f32098d20e · inbound

I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System cites this paper.

I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System Release of Pre-Trained Models for the Japanese Language

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:58:03.197545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.