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Paper Citation Record · LEDGER

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.00746.

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

pith.paper-citation-record.v1
2505.00746 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

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measured 31 of 31 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 860c493b-3cc2-49dd-8e03-47a1be8592ae · outbound

This paper cites Cover and Joy A.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Cover and Joy A

Reference 1

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Observation b600cc31-aaea-44ea-9208-e9639a5899a5 · outbound

This paper cites Allebach, and Qiang Qiu.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Allebach, and Qiang Qiu

Reference 2

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Observation 0927da5e-f0dd-4fe9-8135-43c7c93ee9bd · outbound

This paper cites From uncertainty to trust: Enhancing reliability in v ision- language models with uncertainty-guided dropout decoding.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis From uncertainty to trust: Enhancing reliability in v ision- language models with uncertainty-guided dropout decoding

Reference 3

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Observation a95594fb-8f65-497b-9b41-91a6ddd35d1f · outbound

This paper cites Gpt-4o system card, 2024.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Gpt-4o system card, 2024

Reference 4

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Observation 10fc416a-6720-4378-b09c-b64b23952db4 · outbound

This paper cites Notes on Applicability of GPT-4 to Document Understanding.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Notes on Applicability of GPT-4 to Document Understanding

Reference 5

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Observation 6cee8bdc-3212-4fea-b2ea-dccdf05f3027 · outbound

This paper cites Unambiguous recognition shoul d not rely solely on natural language training.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Unambiguous recognition shoul d not rely solely on natural language training

Reference 6

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Observation eeef2e0b-55b1-431b-a01b-0d8f594b1956 · outbound

This paper cites Reco gnition and language fusion network for handwritten mathematical expr ession recogni- tion.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Reco gnition and language fusion network for handwritten mathematical expr ession recogni- tion

Reference 7

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Observation 87d8b07c-13ce-4c46-94c4-26230c946606 · outbound

This paper cites Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records

Reference 8

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Observation 336f96b2-965c-4798-8847-02f42fe8341c · outbound

This paper cites Mathspeech: Leveraging smal l lms for accurate conversion in mathematical speech-to-formula.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Mathspeech: Leveraging smal l lms for accurate conversion in mathematical speech-to-formula

Reference 9

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Observation 34e5c1ff-4315-4afb-b0f4-cfde38f33f62 · outbound

This paper cites Can llms express their uncertainty? an empirica l evaluation of confidence elicitation in llms.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Can llms express their uncertainty? an empirica l evaluation of confidence elicitation in llms

Reference 10

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Observation 3d785738-831a-442f-a235-2e806a844aa4 · outbound

This paper cites Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries

Reference 11

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Observation ac83c0ca-6751-46c4-b295-3936c6e9461c · outbound

This paper cites Bayesian prompt ensembles: Model uncertainty estimation f or black-box large language models.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Bayesian prompt ensembles: Model uncertainty estimation f or black-box large language models

Reference 12

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This paper cites Can large language models faith- fully express their intrinsic uncertainty in words? In Proceedings of EMNLP 2024, 2024.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Can large language models faith- fully express their intrinsic uncertainty in words? In Proceedings of EMNLP 2024, 2024

Reference 13

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Observation 2705bcf0-2f19-4ce1-b026-ea8d06ddb932 · outbound

This paper cites UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions

Reference 14

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Observation 059945b3-60f6-4532-a375-3690d1117d23 · outbound

This paper cites Energy-based open-world uncertainty modeling fo r confidence calibration.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Energy-based open-world uncertainty modeling fo r confidence calibration

Reference 15

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Observation ef795df5-42fc-4caf-b3dd-d7aed5741d1d · outbound

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Probabilistic embeddings fo r cross-modal retrieval

Reference 16

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Observation f96fc46a-737d-4fa6-bbdb-427086ae5e0a · outbound

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Improved probabilistic image–text rep resentations

Reference 17

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Bayescap: Bayesian identity cap for calibrated uncertainty in frozen neural networks

Reference 18

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Observation 5fe46889-f779-4220-8202-adcba36b76f9 · outbound

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis ProbVLM: Probabilistic adapter for frozen vi sion-language models

Reference 19

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Uncertainty-aware image captioning

Reference 20

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This paper cites Map: Mul timodal uncertainty-aware vision-language pre-training model.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Map: Mul timodal uncertainty-aware vision-language pre-training model

Reference 21

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Prototype-based aleatoric uncertainty quantification for cross-modal re- trieval

Reference 22

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Consistency and uncertainty: Iden tifying unreli- able responses from black-box vision-language models for s elective visual question answering

Reference 23

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This paper cites ExA CT: Language-guided conceptual reasoning and uncertainty est imation for event-based action recognition and more.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis ExA CT: Language-guided conceptual reasoning and uncertainty est imation for event-based action recognition and more

Reference 24

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Icdar 2019 competition on post-ocr text correction

Reference 25

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Observation 15e26d52-6527-411b-aac5-cb87b6aaa749 · outbound

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Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Unresolved cited work

Reference 26

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This paper cites Enhancing farsi text recognition via ite ratively using a language model.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Enhancing farsi text recognition via ite ratively using a language model

Reference 27

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Source-reported events for the cited work

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Observation 9bbf553f-509d-44a7-9663-4759541b2021 · outbound

This paper cites Post-OCR Text Correction for Bulgarian Historical Documents.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Post-OCR Text Correction for Bulgarian Historical Documents

Reference 28

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Observation 7b48f107-3cd0-4826-beed-5309f7035fae · outbound

This paper cites Ocr post-correction with a sequence- to-sequence model: Evaluating bart on historical english text.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Ocr post-correction with a sequence- to-sequence model: Evaluating bart on historical english text

Reference 29

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This paper cites Post-correction of historical text tr anscripts with large language models: An exploratory study.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Post-correction of historical text tr anscripts with large language models: An exploratory study

Reference 30

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Source-reported events for the cited work

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Observation 818f19c4-d3a6-4689-aac4-901a0ecee711 · outbound

This paper cites Scrambled text: training Language Models to correct OCR errors using synthetic data.

Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis Scrambled text: training Language Models to correct OCR errors using synthetic data

Reference 31

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.