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Paper Citation Record · LEDGER

Analyzing Nobel Prize Literature with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.18142.

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

pith.paper-citation-record.v1
2410.18142 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:36:55.719806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:38:11.279640Z

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 79efe816-dfab-447f-b01f-9df381ae3edf · 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 Analyzing Nobel Prize Literature with Large Language Models

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.282685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:3160e502b27a5737a5a58f7e0c5081d1f29dd0cfb819d3daf940710915b5183c

Observation d608e405-2afe-4964-a4e4-f784355bda29 · inbound

Story Ribbons: Reimagining Storyline Visualizations with Large Language Models cites this paper.

Story Ribbons: Reimagining Storyline Visualizations with Large Language Models Analyzing Nobel Prize Literature with Large Language Models

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-05T22:36:55.719806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:36:55.719806Z digest=sha256:a5bc8cfa375f6f6328e72cb146fd72c6cb124f8b16fa31ba22473ba02663fc2d