Paper Citation Record · LEDGER

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.04063.

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

pith.paper-citation-record.v1
2508.04063 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:00:08.211435Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact5
verified fuzzy4
unresolved11
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0c5a835-753e-4e4d-9070-9fc8a2993ce1 · outbound

This paper cites Alikaniotis, H.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Alikaniotis, H

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:10.134590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df39e005-dcb3-4322-9673-141f6f76891c · outbound

This paper cites Kumar, S.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Kumar, S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:10.039487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d34b4f0-bb54-4f56-bbd8-3af849e91efb · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-06T01:00:08.513410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7be0912f-d1ec-45d9-b722-6b2560a91e57 · outbound

This paper cites Automatic Short Answer Grading via Multiway Attention Networks.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Automatic Short Answer Grading via Multiway Attention Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T01:00:09.050562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22f883d6-6f4b-463c-ac44-fbc8a5430c98 · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:09.900095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83a958bb-2311-4c0c-b971-7d8f548b2388 · outbound

This paper cites Language Models are Few-Shot Learners.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:06.970180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7bde157-5664-499a-9946-7c867f475af6 · outbound

This paper cites Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T01:00:08.901003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

This paper cites Towards LLM-based Autograding for Short Textual Answers.

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 e65e1906-fec1-4e96-854e-e8a141a5bda9 · outbound

This paper cites Ivanova, S.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Ivanova, S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:09.771150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfbe2f26-3d4b-4d0b-a3df-451bcc5bd17d · outbound

This paper cites Chamieh, T.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Chamieh, T

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:09.644275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19e1f95a-663d-45f3-9a53-d7f5abffa726 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Finetuned Language Models Are Zero-Shot Learners

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:07.368964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f50e9ee-1123-416d-a2b2-f17baa76ccb9 · outbound

This paper cites Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:07.432609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d61fdd7-b584-44bd-9dde-c07de86117bf · outbound

This paper cites BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T01:00:08.723033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24bd7421-74c4-4e22-9847-54d547144199 · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:09.480493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3dbdd05d-0c47-4205-b2e4-3465bf3e8337 · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:09.186333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2c90887-553d-430c-b514-4f2a8509babf · outbound

This paper cites The Llama 3 Herd of Models.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:07.801903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ffb6950-ba43-44ce-b971-fce1e2fc13f1 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading QLoRA: Efficient Finetuning of Quantized LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:07.848792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d86a4a-b932-43f9-9946-2b04dcb3ffac · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T01:00:08.360775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ee00241-94f4-4bc7-984a-0ddf453763c6 · outbound

This paper cites Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:08.134857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e699783-4a99-48ea-af69-8f0906e8b8cb · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:08.211435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f5bc42-4b47-45fa-9993-8db789591eec · outbound

This paper cites an unresolved cited work.

Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading Unresolved cited work

Reference 2023

Resolution: parse uncertain; raw_fallback, observed 2026-08-06T01:00:09.336616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.