Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Socially Responsible Data for Large Multilingual Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.05247.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:43.658471Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:38:28.720039Z
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 1274d56d-c0e1-4115-91af-a91bfd4c4edd · inbound
More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI cites this paper.
More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI Socially Responsible Data for Large Multilingual Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:43.658471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2e337a6-1029-4992-af72-3dcb0ceea205 · inbound
Can Data Work be Reparative? cites this paper.
Can Data Work be Reparative? Socially Responsible Data for Large Multilingual Language Models
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:37:35.654145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8bdea90b-ac5e-4678-84e6-e65c20e2264c · inbound
Challenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages cites this paper.
Challenges and Recommendations for LLMs-as-a-Judge in Multilingual Settings and Low-Resource Languages Socially Responsible Data for Large Multilingual Language Models
Reference 194
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:38:28.721353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.