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Paper Citation Record · LEDGER

LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.15308.

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

pith.paper-citation-record.v1
2410.15308 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:22:38.386406Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:22:38.561114Z

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 60752189-ea8d-42af-94cd-e3a6f68d7b97 · inbound

Can Large Language Models Predict the Outcome of Judicial Decisions? cites this paper.

Can Large Language Models Predict the Outcome of Judicial Decisions? LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Content

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:22:38.567364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T20:22:38.386406Z digest=sha256:2667c8a1e6a5e9d466ae73523ae4d2d707cb17ad91ce5e68fee5e502b4037c07