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Paper Citation Record · LEDGER

Improving Data Efficiency via Curating LLM-Driven Rating Systems

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.10877.

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

pith.paper-citation-record.v1
2410.10877 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:26:45.598499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:45.494740Z

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 284356a5-4471-47d1-8ed9-0680e3d6b41e · inbound

Incentivizing High-quality Participation From Federated Learning Agents cites this paper.

Incentivizing High-quality Participation From Federated Learning Agents Improving Data Efficiency via Curating LLM-Driven Rating Systems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T19:26:45.598499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:26:45.598499Z digest=sha256:4f19f3e35c1196dfa82703433f3f15db6e02d3ad7f934e5a0295517179030e72

Observation 99093b13-6aa8-4be4-83a0-ac4b5f6ca769 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Improving Data Efficiency via Curating LLM-Driven Rating Systems

Reference 282

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:46.672832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:46.672832Z digest=sha256:d5821e6b70b3bc4b511a107cf88411c4468b49e9a9cf4bc5bfa608046ad8cbd1

Observation 98010921-a5d8-41c3-b91d-36727ef8d177 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Improving Data Efficiency via Curating LLM-Driven Rating Systems

Reference 212

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:12.573459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:12.573459Z digest=sha256:3bbf8648dca8f4d6536cac8cce1cfd3d5ccbf05431dab5f3d39c8310ceb53b2c

Observation 1d20f4d3-bb8d-4efa-90ab-deb40a91af30 · inbound

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning cites this paper.

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning Improving Data Efficiency via Curating LLM-Driven Rating Systems

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:16:01.038888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T22:53:48.040141Z digest=sha256:73d15e1d62bdcb164659259bb0ed1d40872505dfba170444bb362f809ca6ac5d

Observation d85f94a4-e12b-4de2-9163-aa04b479fc25 · inbound

CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.

CODEBLOCK: Learning to Supervise Code at the Right Granularity Improving Data Efficiency via Curating LLM-Driven Rating Systems

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:17:45.496590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T10:52:00.147391Z digest=sha256:b951d27c9723a89ee3f303f2a57ad6c1831e3198ed2bc76f6f9326405a1f7254