MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning | Paper Citation Record

Observation 4ae1f21a-0240-4fad-a193-d8f23adb7dc2 · outbound

This paper cites Improved handwritten digit recognition using convolutional neural networks (cnn).

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Improved handwritten digit recognition using convolutional neural networks (cnn)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:14.205237Z

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Observation 567a6962-a33e-4b36-be12-479014ccfa97 · outbound

This paper cites Anderson and Sofia I.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Anderson and Sofia I

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:14.099439Z

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Observation f41d087e-c57c-4113-99e1-ae1913b0af76 · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Exploring Visual Prompts for Adapting Large-Scale Models

Reference 3

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Observation 8a8d461b-e63d-4459-8bd1-99fe138d4eb1 · outbound

This paper cites Mt3: Meta test-time training for self- supervised test-time adaption.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Mt3: Meta test-time training for self- supervised test-time adaption

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.994344Z

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Observation 17771c06-cfd4-4efd-b4e2-d58459b83a83 · outbound

This paper cites Handwriting recognition in low-resource scripts using adversarial learn- ing.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Handwriting recognition in low-resource scripts using adversarial learn- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.894590Z

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Observation 74ad0e6a-44bd-4cd8-b5d4-f946aac70f2b · outbound

This paper cites Metahtr: Towards writer-adaptive handwritten text recogni- tion.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Metahtr: Towards writer-adaptive handwritten text recogni- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.763695Z

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Observation 2139c292-2b48-41a9-a945-89d8f8d11083 · outbound

This paper cites Docsynth: a layout guided approach for controllable docu- ment image synthesis.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Docsynth: a layout guided approach for controllable docu- ment image synthesis

Reference 7

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Observation 4565c727-a030-4bd9-bf13-cddb1520a7cb · outbound

This paper cites Tinytl: Reduce memory, not parameters for efficient on-device learning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Tinytl: Reduce memory, not parameters for efficient on-device learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.560317Z

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Observation 8c427679-ccc8-48c9-80c2-460ee5d715f4 · outbound

This paper cites Easter2.0: Improving convolutional models for handwritten text recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Easter2.0: Improving convolutional models for handwritten text recognition

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:58:08.212297Z

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Observation 3063a933-9c5d-457c-9fb3-0dbb24b35605 · outbound

This paper cites Contrastive test-time adaptation.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Contrastive test-time adaptation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.453724Z

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Observation 9a352b20-efb7-48cc-8d1e-97cdde86e396 · outbound

This paper cites Improved test-time adaptation for domain generalization.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Improved test-time adaptation for domain generalization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.363754Z

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Observation b92c3cb9-d48a-4006-a8c0-453679d3b0ee · outbound

This paper cites Test- time fast adaptation for dynamic scene deblurring via meta- auxiliary learning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Test- time fast adaptation for dynamic scene deblurring via meta- auxiliary learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.274612Z

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Observation d0e585ac-4d7f-4f07-b4f7-6dfac9bc562c · outbound

This paper cites Adapt- ing to distribution shift by visual domain prompt generation.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Adapt- ing to distribution shift by visual domain prompt generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.167146Z

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Observation 0e8834c9-2862-49c5-8979-2d6d970a95be · outbound

This paper cites Learning to adapt frozen clip for few-shot test-time domain adaptation.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Learning to adapt frozen clip for few-shot test-time domain adaptation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:13.067182Z

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Observation 0577fde7-f6a4-4682-a037-a28b407e2e8b · outbound

This paper cites Span: a simple predict & align network for handwritten para- graph recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Span: a simple predict & align network for handwritten para- graph recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.978045Z

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Observation ccf8004b-6ec0-409b-abb3-93b1e24f0c77 · outbound

This paper cites End-to-end handwritten paragraph text recognition using a vertical attention network.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning End-to-end handwritten paragraph text recognition using a vertical attention network

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.891433Z

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Observation 9377ba3e-e702-43b0-885b-8513af8e972e · outbound

This paper cites Dan: a segmentation-free document attention network for handwritten document recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Dan: a segmentation-free document attention network for handwritten document recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.804415Z

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Observation 1c3a0213-ff30-4c14-9d95-9687d4365ec5 · outbound

This paper cites Faster dan: Multi-target queries with document positional encoding for end-to-end handwritten document recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Faster dan: Multi-target queries with document positional encoding for end-to-end handwritten document recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.678565Z

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Observation 42dd896b-3bc5-4bea-9982-c513fab9ef2b · outbound

This paper cites Text and Style Conditioned GAN for Generation of Offline Handwriting Lines.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Text and Style Conditioned GAN for Generation of Offline Handwriting Lines

Reference 19

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Observation ca13ca90-d434-4152-8475-c3e61e5ff681 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Model- agnostic meta-learning for fast adaptation of deep networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.579716Z

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Observation a5187538-4381-4d96-97e0-208f58274682 · outbound

This paper cites Dtrocr: Decoder-only transformer for op- tical character recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Dtrocr: Decoder-only transformer for op- tical character recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.450266Z

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Observation 43b19b8d-fd0b-4c47-93bc-dcf3f51be353 · outbound

This paper cites Handwritten gujarati numer- als classification based on deep convolution neural networks using transfer learning scenarios.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Handwritten gujarati numer- als classification based on deep convolution neural networks using transfer learning scenarios

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.328927Z

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Observation d36818e4-2b88-49f4-af30-0efc44fe6dee · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.194809Z

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Observation b2199ccc-3524-4b2a-8f21-1ed38566b962 · outbound

This paper cites Icdar 2011-french handwriting recognition competition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Icdar 2011-french handwriting recognition competition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:12.099565Z

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Observation c8e681e5-45c1-43fb-b01c-c9c354339729 · outbound

This paper cites Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:58:08.093736Z

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Observation fbdb69ec-6b6c-4539-9e16-f3ac9bd458e1 · outbound

This paper cites Masked autoencoders are scalable vision learners.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Masked autoencoders are scalable vision learners

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.988959Z

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Observation 458628d7-ed0c-4712-a85f-d5e0e4bef2da · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 27

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Observation 1d69686f-6fb3-4d6a-8870-7ffa48baa0e7 · outbound

This paper cites Diversity-aware meta visual prompting.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Diversity-aware meta visual prompting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.877375Z

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Observation 4cd3a638-97cd-448f-b806-3d0ca6f67678 · outbound

This paper cites Vi- sual prompt tuning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Vi- sual prompt tuning

Reference 29

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Observation d151cd49-d784-4aa1-97af-99b69e85ff52 · outbound

This paper cites Ganwriting: content- conditioned generation of styled handwritten word images.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Ganwriting: content- conditioned generation of styled handwritten word images

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.769463Z

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Observation 45e6f836-0c0e-43aa-b323-ede6b18bdd4c · outbound

This paper cites Pay attention to what you read: non- recurrent handwritten text-line recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Pay attention to what you read: non- recurrent handwritten text-line recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.652030Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56bf7de0-af63-4488-95d7-f93fcb95a86b · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.557029Z

Source-reported events for the cited work

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Observation 839fc75d-6440-4c74-b9a8-bea405b964e7 · outbound

This paper cites Recursive recurrent nets with attention modeling for ocr in the wild.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Recursive recurrent nets with attention modeling for ocr in the wild

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.459473Z

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Observation d7d900e3-cf90-44e6-98f1-2ee440de14fd · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 34

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Observation 8235478f-4a48-4d83-a0f2-47de4fcc35c6 · outbound

This paper cites Show, attend and read: A simple and strong baseline for irregular text recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Show, attend and read: A simple and strong baseline for irregular text recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.356818Z

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Observation 59bfd5da-306a-4807-8ece-7d8fed466b30 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 36

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Observation caac607a-b0d1-403b-b92f-9a7a271caf01 · outbound

This paper cites Meta- sgd: Learning to learn quickly for few-shot learning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Meta- sgd: Learning to learn quickly for few-shot learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.258541Z

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Observation 45200fda-6d49-4ddf-a15a-a0fed8e1be58 · outbound

This paper cites On-device training under 256kb memory.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning On-device training under 256kb memory

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.128495Z

Source-reported events for the cited work

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Observation 77464c70-cbeb-4e05-bb6b-b27163e27caf · outbound

This paper cites Scatter: selective con- text attentional scene text recognizer.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Scatter: selective con- text attentional scene text recognizer

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:11.027338Z

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Observation 9c083381-9782-42ae-993d-d310d9dc9072 · outbound

This paper cites Few-shot class-incremental learning via entropy-regularized data-free replay.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Few-shot class-incremental learning via entropy-regularized data-free replay

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:06.037537Z

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Observation 3c3b9c53-fed7-4c40-9336-a0565eec1750 · outbound

This paper cites Meta-auxiliary learning for future depth pre- diction in videos.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Meta-auxiliary learning for future depth pre- diction in videos

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.915626Z

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Observation f42980ba-b489-4c49-9fdd-3ade151489ae · outbound

This paper cites Test-time personalization with meta prompt for gaze estima- tion.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Test-time personalization with meta prompt for gaze estima- tion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.810872Z

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Observation d98620aa-8d8a-4433-a4bb-b5f16eb6a1f4 · outbound

This paper cites Learn to augment: Joint data augmentation and network optimization for text recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Learn to augment: Joint data augmentation and network optimization for text recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.702757Z

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Observation d19853f8-dc59-4239-8a6a-ac37b801aebb · outbound

This paper cites MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:06.250445Z

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Observation 652bac75-db30-4973-b231-7f6f4d890121 · outbound

This paper cites The iam-database: an english sentence database for offline handwriting recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning The iam-database: an english sentence database for offline handwriting recognition

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.591334Z

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Observation fea3d53a-52bd-4773-91a8-8683fb67b78d · outbound

This paper cites On First-Order Meta-Learning Algorithms.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning On First-Order Meta-Learning Algorithms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:06.395554Z

Source-reported events for the cited work

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Observation cfcc261a-9ce7-46f3-9352-4c11559f3f74 · outbound

This paper cites Blackvip: Black-box visual prompting for robust transfer learning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Blackvip: Black-box visual prompting for robust transfer learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.473130Z

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Observation d89d262f-010e-4d2e-9d88-a8696590949d · outbound

This paper cites Meta-learning of pooling layers for character recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Meta-learning of pooling layers for character recognition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.364315Z

Source-reported events for the cited work

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Observation 3f9641ea-eafd-41dc-97e6-628f5cdebc23 · outbound

This paper cites Black box few-shot adaptation for vision- language models.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Black box few-shot adaptation for vision- language models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.270760Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0a83e8c3-8e21-4a09-8a11-cbbeba6ae894 · outbound

This paper cites Prompt learning via meta-regularization.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Prompt learning via meta-regularization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:10.147691Z

Source-reported events for the cited work

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Observation f2a52315-0fd0-4f6d-bdeb-e35eee45c6b3 · outbound

This paper cites an unresolved cited work.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:58:10.044356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b86cfbb-828d-402c-96c2-de3bdec64df8 · outbound

This paper cites Meta self- learning for multi-source domain adaptation: a benchmark.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Meta self- learning for multi-source domain adaptation: a benchmark

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.963049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 42d48a98-288c-41aa-a397-f36dcd411007 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Learn- ing transferable visual models from natural language super- vision

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:06.798134Z

Source-reported events for the cited work

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Observation 747af8b2-a53f-40f2-881f-3291be33ac42 · outbound

This paper cites Transformer-based approach for joint handwriting and named entity recognition in historical doc- ument.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Transformer-based approach for joint handwriting and named entity recognition in historical doc- ument

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.857199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58b01db9-3cd5-4fce-b264-9b7c10d042dc · outbound

This paper cites Image quality assessment through fsim, ssim, mse and psnr—a comparative study.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Image quality assessment through fsim, ssim, mse and psnr—a comparative study

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.746254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c0163528-08a7-47d3-bc19-76d4dd99ce6f · outbound

This paper cites Psnr vs ssim: impercepti- bility quality assessment for image steganography.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Psnr vs ssim: impercepti- bility quality assessment for image steganography

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.645018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87bd6910-20bd-4fc4-82a7-0eed0d7610cf · outbound

This paper cites Aster: An attentional scene text recognizer with flexible rectification.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Aster: An attentional scene text recognizer with flexible rectification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.546004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d048669e-574d-4095-9786-58112ff6739f · outbound

This paper cites Smith and Jane B.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Smith and Jane B

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.459279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8ca6264-fbc5-4cd4-878c-349c6e08ec0f · outbound

This paper cites Test-time training with self- supervision for generalization under distribution shifts.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Test-time training with self- supervision for generalization under distribution shifts

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.341674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43b061b7-cb81-4384-88a0-da10f24cf3fe · outbound

This paper cites Attention is all you need.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Attention is all you need

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.255530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8ec59c89-1878-40dc-bb56-bbc14ff1f46d · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:07.206322Z

Source-reported events for the cited work

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Observation 11a69872-f62b-4bc1-b6b0-41ba197c37b8 · outbound

This paper cites Decoupled attention network for text recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Decoupled attention network for text recognition

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.170939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd93a01a-70f8-4dde-81f9-e0b29ba7831a · outbound

This paper cites Learning to prompt for continual learning.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Learning to prompt for continual learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:07.311676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91824d6d-a970-444d-899f-76c5322ddbc6 · outbound

This paper cites Distribution align- ment for fully test-time adaptation with dynamic online data streams.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Distribution align- ment for fully test-time adaptation with dynamic online data streams

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:09.081179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a4831f3-b42e-4c23-903d-1691b8f7a6cc · outbound

This paper cites Fast writer adaptation with style extractor network for handwritten text recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Fast writer adaptation with style extractor network for handwritten text recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.963048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36f5c04b-f8fd-48f6-bed0-09960b7b00f3 · outbound

This paper cites Start, follow, read: End-to-end full-page handwriting recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Start, follow, read: End-to-end full-page handwriting recognition

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.863382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8758a2ab-1989-4b90-b41d-cbd4a8815384 · outbound

This paper cites Williams and Neha S.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Williams and Neha S

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.751502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 868dc3b4-bfd0-4fec-865c-195eb65ef3aa · outbound

This paper cites Metagcd: Learning to continually learn in generalized cat- egory discovery.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Metagcd: Learning to continually learn in generalized cat- egory discovery

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:07.580767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f616ab7b-beed-4027-b7f1-204f34872164 · outbound

This paper cites Test-time domain adaptation by learning domain-aware batch normalization.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Test-time domain adaptation by learning domain-aware batch normalization

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.660313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f21a595-a690-44a5-920d-2718cf0a3c0c · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning A-vit: Adaptive tokens for efficient vision transformer

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.537013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea69bbbb-1f89-47fc-969c-bf4362c3a880 · outbound

This paper cites Robust test- time adaptation in dynamic scenarios.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Robust test- time adaptation in dynamic scenarios

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:07.732033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8e73f4-5a71-4503-a008-9417afe47b68 · outbound

This paper cites Sequence-to-sequence domain adaptation network for robust text image recognition.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Sequence-to-sequence domain adaptation network for robust text image recognition

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.458049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25311172-15b1-4813-a323-0fb830418520 · outbound

This paper cites Meta-dmoe: Adapting to domain shift by meta- distillation from mixture-of-experts.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Meta-dmoe: Adapting to domain shift by meta- distillation from mixture-of-experts

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:58:08.338810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30193a34-bfc3-4de9-90a2-f37535110cbc · outbound

This paper cites Learning to prompt for vision-language models.

MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning Learning to prompt for vision-language models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:07.878138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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