Paper Citation Record · LEDGER

Towards LLM-based Autograding for Short Textual Answers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.11508.

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

pith.paper-citation-record.v1
2309.11508 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:29:41.253599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:49:17.385044Z

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 8553aaea-1c63-4ad8-88f3-401a788816bc · inbound

Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators cites this paper.

Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators Towards LLM-based Autograding for Short Textual Answers

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T20:29:41.253599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c23a7c-f373-4d4a-b204-ebb68aed3651 · inbound

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading cites this paper.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Towards LLM-based Autograding for Short Textual Answers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:07.152968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60e492fb-cd16-478b-891b-34ee37c6590a · 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 Towards LLM-based Autograding for Short Textual Answers

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:26:29.646028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 618ce6ce-845f-46d3-8c81-6aa6a877908b · 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 Towards LLM-based Autograding for Short Textual Answers

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:17.388797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.