Paper Citation Record · LEDGER

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2509.11241.

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

pith.paper-citation-record.v1
2509.11241 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:55:04.171856Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

27 of 27 outbound references displayed

verified exact2
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c40f0a5-b295-46a0-b43f-875479792633 · outbound

This paper cites Timing is of the essence: Perceptual and computational techniques for rhythmic timing.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Timing is of the essence: Perceptual and computational techniques for rhythmic timing

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.044486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbfab697-53ba-47db-a6bb-0944e19dc278 · outbound

This paper cites mirdata: Software for reproducible usage of datasets.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches mirdata: Software for reproducible usage of datasets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.049241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3400f679-d162-4351-b71e-44d5bd1279ba · outbound

This paper cites o ck, Filip Korzeniowski, Jan Schl \.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches o ck, Filip Korzeniowski, Jan Schl \

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.054825Z

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Observation 89b5a5c9-db06-4a33-b1ce-c92e8c6b6044 · outbound

This paper cites Deconstruct, Analyse , Reconstruct : How to improve Tempo , Beat , and Downbeat Estimation.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Deconstruct, Analyse , Reconstruct : How to improve Tempo , Beat , and Downbeat Estimation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.059811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df933aa2-4500-4399-84bd-d8b6c55bf010 · outbound

This paper cites Joint Beat and Downbeat Tracking with Recurrent Neural Networks.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Joint Beat and Downbeat Tracking with Recurrent Neural Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.069916Z

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Observation b888c174-c323-45a1-902e-c069f8d25085 · outbound

This paper cites an unresolved cited work.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.074474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253e0b7f-813d-4f95-9f06-03ce5d99f327 · outbound

This paper cites Temporal convolutional networks for musical audio beat tracking.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Temporal convolutional networks for musical audio beat tracking

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.081095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c68bbb5c-99ea-4df7-aa81-68e47dbc7957 · outbound

This paper cites an unresolved cited work.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.086077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe82f3da-57d1-43eb-a4e4-25945ddd79b9 · outbound

This paper cites Beat this! Accurate beat tracking without DBN postprocessing.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Beat this! Accurate beat tracking without DBN postprocessing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.090944Z

Source-reported events for the cited work

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Observation 06e9b23e-38e3-494b-9db1-4d62aead97a9 · outbound

This paper cites Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.096199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f97ab5-7f7f-4c0d-b44c-3e61fd396c95 · outbound

This paper cites Tracking the “odd”: Meter inference in a culturally diverse music corpus.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Tracking the “odd”: Meter inference in a culturally diverse music corpus

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.101945Z

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Observation 35a57d61-0309-4dee-9b09-0733c5a9b5bb · outbound

This paper cites Modeling beats and downbeats with a time-frequency transformer.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Modeling beats and downbeats with a time-frequency transformer

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.106143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8f1634-2180-4c6e-9a15-ec0e8a67f407 · outbound

This paper cites Probabilistic graphical models: principles and techniques.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Probabilistic graphical models: principles and techniques

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.110711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb4fdf4-1fa9-49d4-ba52-88bee8b2d313 · outbound

This paper cites Rhythmic Pattern Modelling for Beat and Downbeat Tracking from Musical Audio.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Rhythmic Pattern Modelling for Beat and Downbeat Tracking from Musical Audio

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.115647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d74886-b7de-44d3-8b66-892f190fb3af · outbound

This paper cites An Efficient State Space Model for Joint Tempo and Meter Tracking.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches An Efficient State Space Model for Joint Tempo and Meter Tracking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.119850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266876a3-9f34-4a28-b63f-f1c4eb04f2cf · outbound

This paper cites Hearing in Time: Psychological Aspects of Musical Meter.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Hearing in Time: Psychological Aspects of Musical Meter

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.124299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d700eb-e651-4a4d-8bc3-83006c138873 · outbound

This paper cites Maia, Martín Rocamora, Luiz W.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Maia, Martín Rocamora, Luiz W

Reference 17

Resolution: verified exact; doi, observed 2026-08-04T16:59:04.278225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5274b3ba-572a-469d-8739-9753d7faa3c6 · outbound

This paper cites LAMIR HAckathon : Adapting Deep Learning Models for Latin American Music Tasks.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches LAMIR HAckathon : Adapting Deep Learning Models for Latin American Music Tasks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.133344Z

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Observation eb25747c-587a-4c1f-bcd5-f9825f96fa78 · outbound

This paper cites Dynamic Bayesian Networks: Representation, Inference and Learning.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Dynamic Bayesian Networks: Representation, Inference and Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.137814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28c2f63c-cd67-437b-b0f6-be2c052d972d · outbound

This paper cites Fundamentals of Music Processing : Using Python and Jupyter Notebooks.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Fundamentals of Music Processing : Using Python and Jupyter Notebooks

Reference 20

Resolution: verified exact; doi, observed 2026-08-04T16:59:04.005757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 941d5893-05ca-4b56-8944-efeb65af2756 · outbound

This paper cites Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.146426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a0694fc-3d5b-4edc-987e-0d2c28a3f767 · outbound

This paper cites Rao, H.A.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Rao, H.A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.150629Z

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Observation 1aef69b9-a1d3-4dbf-9e63-39b0db585650 · outbound

This paper cites Sambamoorthy.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Sambamoorthy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.154735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4ed9bb-5033-4a57-8ec3-10bc4fe3ca94 · outbound

This paper cites A Data -driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches A Data -driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.158898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e5f0fe-1809-41ca-b331-56e192656117 · outbound

This paper cites A supervised approach to hierarchical metrical cycle tracking from audio music recordings.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches A supervised approach to hierarchical metrical cycle tracking from audio music recordings

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.163018Z

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Unavailable: canonical work link unavailable.

Observation 9bd496fe-c5c2-4987-b969-7f0afc9ee104 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches WaveNet: A Generative Model for Raw Audio

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.167013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1db5b4ad-1450-4cd8-9c97-b4944b9990ee · outbound

This paper cites Bayesian Modelling of Temporal Structure in Musical Audio.

Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches Bayesian Modelling of Temporal Structure in Musical Audio

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T16:55:04.171856Z

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Pith citing papers

No inbound Pith citation observations are available.