Paper Citation Record · LEDGER

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2412.13859.

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

pith.paper-citation-record.v1
2412.13859 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:46:24.035878Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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 exact0
verified fuzzy11
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4af03ba-1593-4a7c-af55-9651a1b26753 · outbound

This paper cites GPT-4 Technical Report.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.944426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ffcd83-d815-451a-8149-d5b90c0f4dc6 · outbound

This paper cites Visual and textual deep feature fusion for document image classification.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Visual and textual deep feature fusion for document image classification

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.328232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83837ac0-a593-42ef-a91d-879936d8f128 · outbound

This paper cites D., Dhariw al, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models D., Dhariw al, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.316261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 24463b1d-b3c0-4579-aa0e-cc95c52c7a9a · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.Advances in Neural Information Processing Systems 36 (2024).

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Qlora: Efficient finetuning of quantized llms.Advances in Neural Information Processing Systems 36 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.304073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65583970-82df-4e34-8de9-b52877a1e3d8 · outbound

This paper cites Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.962509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f6f2b2-8b3f-4fdd-b377-fe3b74a71269 · outbound

This paper cites W., Ufkes, A., and Derpanis, K.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models W., Ufkes, A., and Derpanis, K

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.291370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e20f76eb-16a2-4c92-bec8-e94eac866868 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.972014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d035cc-bc5c-4f5b-998d-fe0e0af91d81 · outbound

This paper cites Mistral 7B.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Mistral 7B

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.980724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00c5787-eca2-4150-9200-20691330cbd4 · outbound

This paper cites Mixtral of Experts.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Mixtral of Experts

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.984849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b3d01a-3d3d-4184-bc5e-d8a0774a33fb · outbound

This paper cites Ocr-free document understanding transformer.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Ocr-free document understanding transformer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.274586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3d0e09c-256f-4219-be0b-1d2dc7fea844 · outbound

This paper cites Building a test collection for complex document information process- ing.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Building a test collection for complex document information process- ing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.262677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation babf0ae4-f6ac-4423-911c-64aa9481d738 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:23.998165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a98b00-8c2f-486e-86b7-7bf2be3d7a47 · outbound

This paper cites Text and Code Embeddings by Contrastive Pre-Training.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Text and Code Embeddings by Contrastive Pre-Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:24.003015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b0093f-96c6-41c3-b6cd-984296d4c6db · outbound

This paper cites Cord: A consolidated receipt dataset for post-ocr parsing.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Cord: A consolidated receipt dataset for post-ocr parsing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.248197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e67d7576-2c4b-466a-999c-e19552500583 · outbound

This paper cites Im- proving language understanding by generative pre-training.OpenAI (2018).

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Im- proving language understanding by generative pre-training.OpenAI (2018)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.234573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8ae8ea5-8667-4fad-a15b-eff5b189713d · outbound

This paper cites Language models are unsupervised multitask learners.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Language models are unsupervised multitask learners

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.222376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8435f64-ee97-4605-9921-9253d62d7784 · outbound

This paper cites an unresolved cited work.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:46:24.208567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2f3c4b07-1a00-47d8-a9d5-220ddd48ab51 · outbound

This paper cites Analysis of convolutional neural networks for document image classification.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models Analysis of convolutional neural networks for document image classification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.195761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27f0084b-0026-49b8-802e-6d16558ad201 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:24.027916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bdeb50-1cff-47aa-9bca-2e844d33c0a0 · outbound

This paper cites LayoutLMv2: Multi- modal pre-training for visually-rich document understanding.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models LayoutLMv2: Multi- modal pre-training for visually-rich document understanding

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:46:24.181788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 65a58907-57d3-4a39-8790-0c7f4349193c · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:24.035878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.