Pith. sign in

Paper Citation Record · LEDGER

Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.11579.

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

pith.paper-citation-record.v1
2405.11579 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:17:44.167214Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.398862Z

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 acebf66d-3ff7-4a01-8ce2-70f964c83d6c · inbound

Small, Private Language Models as Teammates for Educational Assessment Design cites this paper.

Small, Private Language Models as Teammates for Educational Assessment Design Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:47.694425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T20:17:44.167214Z digest=sha256:2c175c90276156aea9f7f13c5feb948cea9ee01e5f0696c44a6ce09b497cc145

Observation 547763ed-2b0d-4150-b6f5-e1aae2564536 · inbound

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs cites this paper.

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications

Reference 232

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:50.401350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T04:20:31.649036Z digest=sha256:70f0bb3c73d0b4d469bda77eef70dcd17fcfdbcc34e545fc34998b803cad46f1