Paper Citation Record · LEDGER

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach

As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2411.16408.

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

pith.paper-citation-record.v1
2411.16408 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:11:53.453309Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:50:24.789982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:50:55.887641Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5678672-fd92-4b82-b17c-b101111de1dc · outbound

This paper cites The Challenge of Optical Music Recogni- tion,.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach The Challenge of Optical Music Recogni- tion,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.609410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a8ce2e2-16a2-40b4-8eda-4040e91ca384 · outbound

This paper cites A Preliminary Study of Few- shot Learning for Layout Analysis of Music Scores.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach A Preliminary Study of Few- shot Learning for Layout Analysis of Music Scores

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.558730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 20693583-99a0-46f2-8af8-3be5005a7869 · outbound

This paper cites Two (Note) Heads Are Bet- ter Than One: Pen-Based Multimodal Interaction with Music Scores.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Two (Note) Heads Are Bet- ter Than One: Pen-Based Multimodal Interaction with Music Scores

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.503971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10ccff4e-2717-432b-9485-5aad12e5bd86 · outbound

This paper cites nearest neighbor.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach nearest neighbor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.467842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2f0f78c-2b88-4007-82e9-1a719b800b51 · outbound

This paper cites Intelligent optimization methods for high-dimensional data classification for support vector machines.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Intelligent optimization methods for high-dimensional data classification for support vector machines

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.437843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e54a3cc3-60ca-483d-809e-40d12b6e5738 · outbound

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

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Model-agnostic meta-learning for fast adap- tation of deep networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.402360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation effd32e5-5431-47c1-90b4-3b4bb5293b23 · outbound

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

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach On First-Order Meta-Learning Algorithms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.192228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f7f2ed0-1d69-4719-8b90-124c8d7a1a3e · outbound

This paper cites Meta-learning in neural networks: A survey.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Meta-learning in neural networks: A survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.375784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 951ebae4-735a-487c-9ae4-e9e6bc5295dc · outbound

This paper cites Prototypical networks for few-shot learning.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Prototypical networks for few-shot learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.348602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4c15494-4e1c-4563-8ed7-970174111dba · outbound

This paper cites SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach SSL-ProtoNet: Self-supervised Learning Prototypical Networks for few-shot learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.316643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ffb313d-64b6-4ddb-8e42-d7815df64084 · outbound

This paper cites A Baseline for Few-Shot Image Classification.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach A Baseline for Few-Shot Image Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.235735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19c26c6-1b28-4d3b-81ed-32bd434c4fed · outbound

This paper cites A survey on image data augmentation for deep learning.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach A survey on image data augmentation for deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.285687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d231c2df-ae7c-42d5-b330-c6b1f1a5095b · outbound

This paper cites Few-shot image clas- sification: Just use a library of pre-trained feature extractors and a simple classifier.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Few-shot image clas- sification: Just use a library of pre-trained feature extractors and a simple classifier

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.255614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ed3d29d-e5a5-42fd-80c5-e0af55af5f03 · outbound

This paper cites A few-shot learning approach for historical ciphered manuscript recognition.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach A few-shot learning approach for historical ciphered manuscript recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.233783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfa62aa2-82aa-4069-9319-919ff5598c4b · outbound

This paper cites Few-shot symbol classification via self-supervised learning and nearest neighbor.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Few-shot symbol classification via self-supervised learning and nearest neighbor

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.209016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f824d8b5-30e5-4f99-b2be-3bb67b3345c7 · outbound

This paper cites Glyph and position classification of music symbols in early music manuscripts.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Glyph and position classification of music symbols in early music manuscripts

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.166082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d2caaf8-f66a-499c-bd62-08d413248d1d · outbound

This paper cites A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:54.063483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0648161-1304-4826-b4b2-178a51cffa71 · outbound

This paper cites Optical Music Recognition: State of the Art and Major Challenges.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Optical Music Recognition: State of the Art and Major Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.352191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd575e0c-3970-4dad-b544-bd15a55ecc96 · outbound

This paper cites Adaptive docu- ment binarization.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Adaptive docu- ment binarization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:53.992971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6778be89-eb48-46d3-8a24-083d0494589b · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.390855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 589a445e-55e1-4d89-a914-5bc21fa5a6f1 · outbound

This paper cites DoReMi: First glance at a universal OMR dataset.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach DoReMi: First glance at a universal OMR dataset

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.408053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33160d75-8412-4b1b-9487-daae2b834ed0 · outbound

This paper cites an unresolved cited work.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:11:53.961505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33576299-47e2-42cb-9ffb-3ba5ffe81a33 · outbound

This paper cites Handwritten music recognition for mensural notation with convolutional recurrent neural networks.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Handwritten music recognition for mensural notation with convolutional recurrent neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:53.934496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54693d3e-e757-41be-8d2e-3b6a8d552054 · outbound

This paper cites (2024, August).

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach (2024, August)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:11:53.876314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fefae2e6-7213-4ed7-8eee-5ecfcc650aea · outbound

This paper cites Available: https://doi.org/10.1023/A:1002485918032.

Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Available: https://doi.org/10.1023/A:1002485918032

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-12T13:11:53.085271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ee632640-2d43-4960-9159-780fc5b63c56 · inbound

A High-Accuracy Optical Music Recognition Method Based on Bottleneck Residual Convolutions cites this paper.

A High-Accuracy Optical Music Recognition Method Based on Bottleneck Residual Convolutions Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:50:55.890896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.