Pith. sign in

Paper Citation Record · LEDGER

Deep Polyphonic ADSR Piano Note Transcription

As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:1906.09165.

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

pith.paper-citation-record.v1
1906.09165 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T18:17:03.039114Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T18:17:03.039114Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:17:06.791974Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact3
  • verified fuzzy27
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfb9401e-9363-401f-83bb-20bd10aec388 · outbound

This paper cites For each note sounding in the recording, we would like to obtain a tuple (s,e,n,v ), denoting start, end, MIDI note number and op- tionally volume.

Deep Polyphonic ADSR Piano Note Transcription For each note sounding in the recording, we would like to obtain a tuple (s,e,n,v ), denoting start, end, MIDI note number and op- tionally volume

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.902005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:11c8439b98c05ef7696aa721fc952fcba9eecc1548c4ea43bebab3b69e1364f9

Observation 3356d6e6-a446-442c-82c7-8466c0c1aacb · outbound

This paper cites Deep Polyphonic ADSR Piano Note Transcription.

Deep Polyphonic ADSR Piano Note Transcription Deep Polyphonic ADSR Piano Note Transcription

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:17:06.795293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:8371547c167b3bb4ff0f37d8e7327078e143faeb90f6c65c0bdedb6f5c97cf2e

Observation ec51f516-da93-47dd-9552-14cc7d6bc2a8 · outbound

This paper cites Gaussian Dropout.

Deep Polyphonic ADSR Piano Note Transcription Gaussian Dropout

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.927759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:422edb904057211dff17013c56c990d7ec803e2e66caaab9345dfed5343af4fa

Observation c9fd2cc7-2af7-4abb-939b-24ca62f4b69f · outbound

This paper cites Configuration II.

Deep Polyphonic ADSR Piano Note Transcription Configuration II

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.955259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:d96fed71e53d90dd72544eabe71ad650717629c6ee9fd8bf6f87052d3effea1e

Observation 7ed11b4b-38d5-4846-a44d-800bf052fac3 · outbound

This paper cites an unresolved cited work.

Deep Polyphonic ADSR Piano Note Transcription Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-25T18:17:06.913627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:00ff0054ce142c8ddb59eb88adf0d4308859731a53942910007d3baf7fa24cc3

Observation 975a05d4-e467-45c1-81ed-8de81be7be0b · outbound

This paper cites BA- SIS, Basisprogramm.

Deep Polyphonic ADSR Piano Note Transcription BA- SIS, Basisprogramm

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.893258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:10430c07749e3e4a1857fe52fb30261cd60c7ac16024f4a373fd838e34d111b4

Observation bf42cad2-486e-431f-94ef-b702ca444abf · outbound

This paper cites Polyphonic Piano Note Transcription with Recurrent Neural Networks.

Deep Polyphonic ADSR Piano Note Transcription Polyphonic Piano Note Transcription with Recurrent Neural Networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.920790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:5bacbaf2817bf254bd004156363b20cd265c5e2cfd7b3ea037ae42da63b6dbe2

Observation ab8f460a-8ec5-4624-8282-c8638f3cc4b6 · outbound

This paper cites Polyphonic Pitch Tracking with Deep Layered Learning.

Deep Polyphonic ADSR Piano Note Transcription Polyphonic Pitch Tracking with Deep Layered Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:17:06.789076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:dcd8ffe98a288e3ea97e1cf2e379fbff897032221ebdce5f063d05fbd30794c1

Observation 38e0e7a7-3522-46b5-9bdb-98047d7ef1e0 · outbound

This paper cites Polyphonic Pitch Detection with Convolutional Recurrent Neural Networks.

Deep Polyphonic ADSR Piano Note Transcription Polyphonic Pitch Detection with Convolutional Recurrent Neural Networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.930784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:9a389b9a6a519b817227459d42d507f44c3038ff72db75175778bb52f8778fae

Observation 859f5e43-3340-4584-910a-a6725ec53999 · outbound

This paper cites Onsets and Frames: Dual-Objective Piano Transcrip- tion.

Deep Polyphonic ADSR Piano Note Transcription Onsets and Frames: Dual-Objective Piano Transcrip- tion

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.933933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:a00ba57235a73ace1e5b24a9180e88af746e39b8bf5b88136fc67d5a699555fa

Observation 0bd2db44-5ea6-426f-b189-a2c4264f2b3d · outbound

This paper cites A Parallel Fusion Approach to Piano Music Transcription based on Convolutional Neural Network.

Deep Polyphonic ADSR Piano Note Transcription A Parallel Fusion Approach to Piano Music Transcription based on Convolutional Neural Network

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.948445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:e6007a7c26050978358d921057eb8d94d0c7bd3defdb7799eaf7b528f27ce8db

Observation c1fd8fc1-f889-4ec5-a904-084949e2a71c · outbound

This paper cites An End-to-End Neural Network for Polyphonic Piano Music Tran- scription.

Deep Polyphonic ADSR Piano Note Transcription An End-to-End Neural Network for Polyphonic Piano Music Tran- scription

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.969480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:57bc2c0f8f0acf61fa894e46c0c8b24f98eeba43e076728839cc0345acfbcb09

Observation 5da213ef-65d8-4439-b9d4-f4956400bee0 · outbound

This paper cites On the Poten- tial of Simple Framewise Approaches to Piano Transcription.

Deep Polyphonic ADSR Piano Note Transcription On the Poten- tial of Simple Framewise Approaches to Piano Transcription

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.979556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:86bbd7deaa83bbd86e70985dc6f3488078913b50ab4220cf7163bffa5c7dea37

Observation 202d68f9-4645-4ed6-b6ba-b1895875c55a · outbound

This paper cites A Dozen Tricks with Multitask Learning.

Deep Polyphonic ADSR Piano Note Transcription A Dozen Tricks with Multitask Learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.906337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:59ee716c58d603eb3c36afe90d298ea85c73ebfe520fc8f425daf25369fa8adb

Observation 162f29c8-2006-436c-9dc7-be67cd87f78b · outbound

This paper cites Auto- matic Transcription of Piano Music based on HMM Tracking of jointly-estimated Pitches.

Deep Polyphonic ADSR Piano Note Transcription Auto- matic Transcription of Piano Music based on HMM Tracking of jointly-estimated Pitches

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.966000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:22ecc9d8660d4f4a56a7d511332c84adf35e5f6840704a0e65fb67e7b007949c

Observation 43c1a8db-9ed5-4d8b-8e40-cd704f17de59 · outbound

This paper cites Mul- tipitch Estimation of Piano Music by Exemplar-Based Sparse Representation.

Deep Polyphonic ADSR Piano Note Transcription Mul- tipitch Estimation of Piano Music by Exemplar-Based Sparse Representation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.952013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:bf43b3367aa2107468011c8132a00b4bb0d66a2c0c412fa3ad32c2dceabecbe1

Observation e2395223-0c67-4005-942f-8a880b3269fa · outbound

This paper cites Music Transcription with ISA and HMM.

Deep Polyphonic ADSR Piano Note Transcription Music Transcription with ISA and HMM

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.910082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:492e253d6a198eecec93512ef2a1b2545889265a3d89a758319f608dec788fa1

Observation 62937bb1-bf67-4e47-a197-2650a76b213b · outbound

This paper cites Improving Note Segmentation in Auto- matic Piano Music Transcription Systems with a Two-State Pitch-Wise HMM Method.

Deep Polyphonic ADSR Piano Note Transcription Improving Note Segmentation in Auto- matic Piano Music Transcription Systems with a Two-State Pitch-Wise HMM Method

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.958818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:8dcc9e50b689f3f404ef1e019d2b2e7f6ee97221ae208fc2804f2509ca9aa08d

Observation 2325d2cf-8b5d-4293-993a-1e4ae9f93555 · outbound

This paper cites Facto- rial Scaled Hidden Markov Model for Polyphonic Audio Rep- resentation and Source Separation.

Deep Polyphonic ADSR Piano Note Transcription Facto- rial Scaled Hidden Markov Model for Polyphonic Audio Rep- resentation and Source Separation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.937355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:9460aec78c1a6e3f27004da638c9e38b67a6cf9f91348e3bd13a9487ac92cb04

Observation 40c4cf55-2e4d-49eb-89f4-842770f1fc2a · outbound

This paper cites Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription.

Deep Polyphonic ADSR Piano Note Transcription Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.941528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:6419f637238de42f4c8cc18cdef94f5a51d9fd031693f3b7e826f3317100e420

Observation 0fb31243-1d4e-4a75-8f11-2f1ff2b2ce8b · outbound

This paper cites An Efficient Temporally-Constrained Probabilistic Model for Multiple- Instrument Music Transcription.

Deep Polyphonic ADSR Piano Note Transcription An Efficient Temporally-Constrained Probabilistic Model for Multiple- Instrument Music Transcription

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.962611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:57c577c6d74eaec172a6a3d31121923b07b72774e2048c27177841f965172db1

Observation be85cec6-9005-4cca-b3a3-c38294782097 · outbound

This paper cites Polyphonic music transcrip- tion using note event modeling.

Deep Polyphonic ADSR Piano Note Transcription Polyphonic music transcrip- tion using note event modeling

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.983222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:c8afb986a9c5570815f4c36fed95a29f8fa76f5cd4be6d46e808b7a2f71e3b83

Observation da1187c9-e243-4c7a-8da7-dfd1fac770c9 · outbound

This paper cites A discriminative model for polyphonic piano transcription.

Deep Polyphonic ADSR Piano Note Transcription A discriminative model for polyphonic piano transcription

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.917231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:4d515cf30a364950c5fd0e39937e5250dbbccc07a80c1e2979b46204d70ada08

Observation a107186a-abe1-4e9f-8e92-f3532529281f · outbound

This paper cites Bilevel Sparse Mod- els for Polyphonic Music Transcription.

Deep Polyphonic ADSR Piano Note Transcription Bilevel Sparse Mod- els for Polyphonic Music Transcription

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.972956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:0ad4c3a87e49a459d7009a5d157dc41dbd1f738f59d96d64eedac3c829ce22c2

Observation bec767e9-e705-4e37-aeaa-0767101c8c60 · outbound

This paper cites Non- negative Hidden Markov Modeling of Audio with Application to Source Separation.

Deep Polyphonic ADSR Piano Note Transcription Non- negative Hidden Markov Modeling of Audio with Application to Source Separation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.989875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:a2c802436787c4d1654110decc7b39ecc7667f0dcd311514c31d30cdc62af9dc

Observation 35189e13-d606-4732-93c8-6de24e1767d1 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Deep Polyphonic ADSR Piano Note Transcription Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:17:06.801291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:c716404836bc15eb92dcc620921248a999d16248e069cc5149331731a7366a23

Observation 274ecbd9-a014-4b1f-af1e-97fe30d4eb72 · outbound

This paper cites Dropout: A simple Way to Prevent Neural Networks from Overfitting.

Deep Polyphonic ADSR Piano Note Transcription Dropout: A simple Way to Prevent Neural Networks from Overfitting

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.889503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:9e7e1ad0e48f98638e293b7e7f47a754347e9af207f322a5890b6424423b28fe

Observation e95f5e2e-a99b-4350-9634-89a209ee4afc · outbound

This paper cites madmom: a new Python Au- dio and Music Signal Processing Library.

Deep Polyphonic ADSR Piano Note Transcription madmom: a new Python Au- dio and Music Signal Processing Library

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.924629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:92a242672fcae24979e8d356c19e4b66332aced9defca064d12696a7b9b92d62

Observation 381a39a2-13c0-4897-be0a-f7bc947d73f2 · outbound

This paper cites Experimenting with Musically Motivated Convolutional Neural Networks.

Deep Polyphonic ADSR Piano Note Transcription Experimenting with Musically Motivated Convolutional Neural Networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.976069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:f35f640ab94810732b6d2d01a26dda66e41cad1e38c994a7301eecfabb9e73bf

Observation 84901e5f-4e7f-4f96-976e-06bbe03c6e50 · outbound

This paper cites Mul- tipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle.

Deep Polyphonic ADSR Piano Note Transcription Mul- tipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.897484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:ddd1d992cd09df1a1cabdeffbdd34405a8e90e421bf567ede24adf7be4f73880

Observation 69263fe8-8a8b-4070-a77b-dc0af233186d · outbound

This paper cites MIR EV AL: A Transparent Implementation of Common MIR Metrics.

Deep Polyphonic ADSR Piano Note Transcription MIR EV AL: A Transparent Implementation of Common MIR Metrics

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T18:17:06.986794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:96b7a96ae29b0ae5e01bfef766390652e4642e11d192972acf61fdc27a604603

Pith citing papers

Observation 3356d6e6-a446-442c-82c7-8466c0c1aacb · inbound

Deep Polyphonic ADSR Piano Note Transcription cites this paper.

Deep Polyphonic ADSR Piano Note Transcription Deep Polyphonic ADSR Piano Note Transcription

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:17:06.795293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T18:17:03.039114Z digest=sha256:8371547c167b3bb4ff0f37d8e7327078e143faeb90f6c65c0bdedb6f5c97cf2e