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Paper Citation Record · LEDGER

Instruction Tuning with Human Curriculum

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.09518.

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

pith.paper-citation-record.v1
2310.09518 v4

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:57:25.488528Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:11:01.805658Z

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 eee7a4b8-02fb-484b-9dbd-6688ac3a50f8 · inbound

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework cites this paper.

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework Instruction Tuning with Human Curriculum

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:57:25.488528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:57:25.488528Z digest=sha256:cbceb858cd32cd6c6eb535c077d750bef1c6ea7b0844a12d8d6b1dc9ea970a5e

Observation a6eed89a-bc2d-485d-a913-a4d2a0133cd9 · inbound

Evaluating and Improving Graph to Text Generation with Large Language Models cites this paper.

Evaluating and Improving Graph to Text Generation with Large Language Models Instruction Tuning with Human Curriculum

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T15:11:01.811148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:11:01.200115Z digest=sha256:ce452177868c142efe5a15dd2f3cf3c9f70c682ec401f489d6ea2382029831c7