Paper Citation Record · LEDGER

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.02165.

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

pith.paper-citation-record.v1
2410.02165 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:55:59.499310Z

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

0
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 b33d0340-1037-40e1-a0ce-3ecf11f5cf36 · inbound

Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading cites this paper.

Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:59.499310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46568969-fd1c-4172-b856-d78adcdb9371 · inbound

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers cites this paper.

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:18.699770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fbbf708-5783-4b8f-bfba-ffd566c6b45c · inbound

Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization cites this paper.

Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.532293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32dbfa35-f73a-4f73-8a39-91cb90e2b114 · inbound

"Important You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems cites this paper.

"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:26:29.635284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bbdc486e-5b28-4074-8d75-e5d64aceb60c · inbound

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 174

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:55:06.280877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aaa79d31-60ec-49ef-89b7-d094e4855a69 · inbound

LLMs as Teaching Assistants for Mathematics Exam Grading: Reliability, and Practical Usability cites this paper.

LLMs as Teaching Assistants for Mathematics Exam Grading: Reliability, and Practical Usability A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:17.392619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.