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Paper Citation Record · LEDGER

Legal Evalutions and Challenges of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.10137.

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

pith.paper-citation-record.v1
2411.10137 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:25:20.074735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:38:11.240408Z

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 c81239dd-9ac6-440a-856e-1daeb1b5fcd2 · 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 Legal Evalutions and Challenges of Large Language Models

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.243072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:ea07fe77d42c14519ade3d2a05699874c1c2bb3f5a0c39f620cb23e553fa01bc

Observation 0133de4c-3d9e-4d3d-ac9f-879da872a1bf · inbound

LaQual: An Automated Framework for LLM App Quality Evaluation cites this paper.

LaQual: An Automated Framework for LLM App Quality Evaluation Legal Evalutions and Challenges of Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T16:25:20.074735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:25:20.074735Z digest=sha256:0c099f5cdeb047067ae1ad18acb56a8c93e94ec08107724aeedbd37647a5cbaf