Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.06399.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:25:02.020419Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:26:46.323202Z
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 a49f91c8-7db5-40e6-854b-fdbb2f1f3767 · inbound
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.
Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T16:38:11.276861Z
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.
Observation 3b873ddc-f26b-46f3-9493-719bca61fc5b · inbound
GlossAssist -- A Tool to Simplify Corpus Creation and Study the Effect of NLP Models in Low-Resource Documentation Settings cites this paper.
GlossAssist -- A Tool to Simplify Corpus Creation and Study the Effect of NLP Models in Low-Resource Documentation Settings GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:26:46.324827Z
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.
Observation 9495804a-7b64-4f28-b965-0630b7e11e9c · inbound
A POS Tier Is the Key to Automated Annotation for Low-Resource Language Documentation: Neural Interlinear Glossing for Irabu, a Southern Ryukyuan Language cites this paper.
A POS Tier Is the Key to Automated Annotation for Low-Resource Language Documentation: Neural Interlinear Glossing for Irabu, a Southern Ryukyuan Language GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:25:02.020419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.