Paper Citation Record · LEDGER

Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.00873.

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

pith.paper-citation-record.v1
2410.00873 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:13:04.592778Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f86e87c-021c-4af6-8467-66e7685cbf42 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:34.556412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fd59dc0-16c3-4332-b5db-056dc0cfe953 · inbound

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development cites this paper.

A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:04.592778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13fc6c2-45e2-4665-a22f-6aead3c5c8a1 · inbound

LLMs for Customized Marketing Content Generation and Evaluation at Scale cites this paper.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:00.198197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea3d13b-68d1-4593-86d8-d6ec0ab37c67 · inbound

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks cites this paper.

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:58.883066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba320d6-6b96-40ab-a3ff-0e1ca72e8a5c · inbound

Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems cites this paper.

Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T14:56:12.077711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99335fd5-7d6c-4ff5-bb65-e2dba4e801fc · inbound

Evalet: Evaluating Large Language Models through Functional Fragmentation cites this paper.

Evalet: Evaluating Large Language Models through Functional Fragmentation Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:01:40.005843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b19f2cb6-3874-4769-b9b4-4615c203ec5e · inbound

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria cites this paper.

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria Aligning Human and LLM Judgments: Insights from EvalAssist on Task-Specific Evaluations and AI-assisted Assessment Strategy Preferences

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-09T03:40:03.948701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.