Paper Citation Record · LEDGER

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2608.01093.

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

pith.paper-citation-record.v1
2608.01093 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:17:08.158113Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:17:07.939798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:17:08.523492Z

Reference resolution

33 of 33 outbound references displayed

verified exact3
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06997053-c060-4289-a2d0-2cf66dc60949 · outbound

This paper cites Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:17:08.529005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c86c39ff-eb01-48a0-9411-275386c94d1e · outbound

This paper cites Prior diffusion work typically targets generic 4-stem or instrument-agnostic settings.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Prior diffusion work typically targets generic 4-stem or instrument-agnostic settings

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:09.041679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0550642c-a2c8-4675-a49c-fbfaa698543d · outbound

This paper cites Given an input drum mixture, the sys- tem first isolates it into five drum-piece stems correspond- ing to kick, snare, toms, hi-hats, and cymbals.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Given an input drum mixture, the sys- tem first isolates it into five drum-piece stems correspond- ing to kick, snare, toms, hi-hats, and cymbals

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.994453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3564f330-aeb4-4e3b-abd5-0bee051af50d · outbound

This paper cites We evaluate on two unseen datasets: MDB Drums [22] and ENST-Drums [23].

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion We evaluate on two unseen datasets: MDB Drums [22] and ENST-Drums [23]

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T15:17:08.503436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff1273c5-2ac4-4253-9325-7b451a24df32 · outbound

This paper cites In terms of physical reconstruction, all MSG-LD variants significantly outperform the LarsNet baseline [11] in mel-spectrogram MSE across all drum classes.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion In terms of physical reconstruction, all MSG-LD variants significantly outperform the LarsNet baseline [11] in mel-spectrogram MSE across all drum classes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.970850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74b34dd1-bed8-440f-8447-61a4a3139909 · outbound

This paper cites an unresolved cited work.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:17:08.952629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0cb5ce2a-47af-4449-8db6-48d13ec99a84 · outbound

This paper cites an unresolved cited work.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:17:08.935324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 34d3e314-83b7-495a-bb2a-30dbe6067c5a · outbound

This paper cites an unresolved cited work.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:17:08.914054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec2c096b-6baa-46bd-ba67-8eae8bc42587 · outbound

This paper cites Spleeter: a fast and efficient music source sepa- ration tool with pre-trained models,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Spleeter: a fast and efficient music source sepa- ration tool with pre-trained models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.792503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c712254d-d286-4c40-b226-8d2eec06c08f · outbound

This paper cites Adtof: A large dataset of non-synthetic music for automatic drum transcription,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Adtof: A large dataset of non-synthetic music for automatic drum transcription,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.898519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50d27214-d292-4734-b565-4bc1bc4c7c91 · outbound

This paper cites Simul- taneous music separation and generation using multi- track latent diffusion models,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Simul- taneous music separation and generation using multi- track latent diffusion models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.875046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7814542-c831-4fe5-a58c-a3be18b0795e · outbound

This paper cites Musicldm: Enhanc- ing novelty in text-to-music generation using beat- synchronous mixup strategies,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Musicldm: Enhanc- ing novelty in text-to-music generation using beat- synchronous mixup strategies,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.857654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63ce882f-ed78-472e-93f0-b300f2c2657e · outbound

This paper cites Drumgan: Synthesis of drum sounds with timbral feature con- ditioning using generative adversarial networks,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Drumgan: Synthesis of drum sounds with timbral feature con- ditioning using generative adversarial networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.843992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8e7b512-a7d8-450f-8f8b-685e2ff1cd0a · outbound

This paper cites Multi-Source Diffusion Models for Simultaneous Music Generation and Separation.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:17:08.029941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c1f2828-c0ed-43fb-aaaa-dfac184b871a · outbound

This paper cites User-guided Generative Source Separation.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion User-guided Generative Source Separation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T15:17:08.035936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0eb731b-53a8-412b-b5a6-0d9ac16edb10 · outbound

This paper cites Hybrid trans- formers for music source separation,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Hybrid trans- formers for music source separation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.826279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74e299c6-d308-4f6a-9ac4-403338c42412 · outbound

This paper cites Open-unmix-a reference implementation for music source separation,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Open-unmix-a reference implementation for music source separation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.811412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73f17f49-6a35-48c6-9e5f-56a39a56f4d7 · outbound

This paper cites separate-and-detect.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion separate-and-detect

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:09.024185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc1a2d6f-d10a-4e7b-a87d-eb351fdb11ed · outbound

This paper cites Music source separation with band- split rnn,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Music source separation with band- split rnn,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.778472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 522bc93a-85eb-44ab-9e67-6aa9448cf084 · outbound

This paper cites Toward deep drum source separation,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Toward deep drum source separation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.762646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 660ae63a-0ab0-4b18-a2a6-c46b00e08d10 · outbound

This paper cites Benchmarking music demixing models for deep drum source separation,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Benchmarking music demixing models for deep drum source separation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.745310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f95481fb-9546-4a8f-a340-51519a275e82 · outbound

This paper cites Maximum filter vibrato sup- pression for onset detection,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Maximum filter vibrato sup- pression for onset detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.721695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04e09cc6-00eb-4ac0-ac78-609fe437b653 · outbound

This paper cites On- line real-time onset detection with recurrent neural networks,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion On- line real-time onset detection with recurrent neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.703759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92e6ad00-6269-44d9-812d-da0abe902d6c · outbound

This paper cites Improving auto- matic drum transcription using large-scale audio-to- midi aligned data,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Improving auto- matic drum transcription using large-scale audio-to- midi aligned data,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.688715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8e0c3dc-b828-418c-92a7-45d67334b2e1 · outbound

This paper cites Drum transcription via joint beat and drum modeling using convolutional recurrent neural networks.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Drum transcription via joint beat and drum modeling using convolutional recurrent neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.664819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 548911e4-c682-4e45-97b0-a440042d4cfa · outbound

This paper cites Noise-to-notes: Diffusion-based genera- tion and refinement for automatic drum transcription,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Noise-to-notes: Diffusion-based genera- tion and refinement for automatic drum transcription,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:17:08.364579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e207e055-2709-4ef9-adb9-a60045f7aac8 · outbound

This paper cites Enhanced automatic drum transcription via drum stem source separation,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Enhanced automatic drum transcription via drum stem source separation,

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-15T15:17:08.280048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e76cdd5-36a3-442c-bf38-f6569fb6dd49 · outbound

This paper cites The inverse drum machine: Source separation through joint tran- scription and analysis-by-synthesis,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion The inverse drum machine: Source separation through joint tran- scription and analysis-by-synthesis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.647748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b9336ee-96b0-4ea5-932e-36270452572e · outbound

This paper cites Hifi-gan: Generative ad- versarial networks for efficient and high fidelity speech synthesis,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Hifi-gan: Generative ad- versarial networks for efficient and high fidelity speech synthesis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.630561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e077581a-d5dc-47dd-a69e-4ae4fce50082 · outbound

This paper cites Real-time transcription and separation of drum recordings based on nmf de- composition.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Real-time transcription and separation of drum recordings based on nmf de- composition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.609773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 746da22b-1b81-42c0-b7d3-fb59a471a1f3 · outbound

This paper cites Mdb drums: An annotated subset of medleydb for au- tomatic drum transcription,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Mdb drums: An annotated subset of medleydb for au- tomatic drum transcription,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.588910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee9ec483-3598-45b8-bac8-ed52fa2b07cd · outbound

This paper cites Enst-drums: an extensive audio-visual database for drum signals processing,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion Enst-drums: an extensive audio-visual database for drum signals processing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.568395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3a4ebf9-4218-4294-a151-c53cb031af27 · outbound

This paper cites madmom: a new Python Audio and Mu- sic Signal Processing Library,.

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion madmom: a new Python Audio and Mu- sic Signal Processing Library,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:17:08.547894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 06997053-c060-4289-a2d0-2cf66dc60949 · inbound