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Paper Citation Record · LEDGER

NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.18008.

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

pith.paper-citation-record.v1
2502.18008 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:10.326516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T19:42:53.764675Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f44ef40f-4052-473c-993c-ec05c35a4017 · inbound

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance cites this paper.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.326516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.326516Z digest=sha256:1fbc8f92f8fac7da042833902e8d4408159564320fa7fc2c71a0218d500766e6

Observation 0d4b9825-5957-45cd-996d-7df6d96e8df3 · inbound

Large Language Models' Internal Perception of Symbolic Music cites this paper.

Large Language Models' Internal Perception of Symbolic Music NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:43.236567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:43.236567Z digest=sha256:9dec9fb08fd1144966581cc6000e16971f1326778bd40feb939afd0c939c0d44

Observation 312049e2-7384-4e2d-8590-8848662a2e60 · inbound

Via Score to Performance: Efficient Human-Controllable Long Song Generation with Bar-Level Symbolic Notation cites this paper.

Via Score to Performance: Efficient Human-Controllable Long Song Generation with Bar-Level Symbolic Notation NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T05:40:56.957301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:40:56.957301Z digest=sha256:1c2f24058a6a81b299ecf0fc9676b58b9860bf9dd3ef517682bace43a41d0f6b

Observation 44773290-64a0-4c8c-aedf-af899baeb13b · inbound

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music cites this paper.

Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T14:59:36.941209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:59:36.941209Z digest=sha256:1de3f248ae4f0966a695057170ece800353fa430286ee46779cfa4f9ab16b419

Observation aa013064-1213-45cf-9236-6c08b6f186fe · inbound

CoComposer: LLM Multi-agent Collaborative Music Composition cites this paper.

CoComposer: LLM Multi-agent Collaborative Music Composition NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T14:08:50.238256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:08:50.238256Z digest=sha256:e36977325a688cd7166f44ee1aeab87cd6712071178e94a44fbf75ac13988ef1

Observation d5d6c6f2-4b1c-4064-a807-e55e12e3a89d · inbound

WeaveMuse: An Open Agentic System for Multimodal Music Understanding and Generation cites this paper.

WeaveMuse: An Open Agentic System for Multimodal Music Understanding and Generation NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T17:01:26.266471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:01:26.266471Z digest=sha256:246cbf8c1c79dedfc56943fe9a544d555b0f5f3acada6a8ebef9402654226356

Observation c1bee947-ef68-4ca6-924a-d76598d70815 · inbound

ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence cites this paper.

ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.605240Z

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.

source=pdf_text observed=2026-05-09T23:03:01.356594Z digest=sha256:3f438c304a7e7b04c68f63e9c23d876a826a4138aad27984354c87f7fc13ce73

Observation 3ea5fdba-6e1a-406e-bf4b-64d1b07600a0 · inbound

Text2Score: Generating Sheet Music From Textual Prompts cites this paper.

Text2Score: Generating Sheet Music From Textual Prompts NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:42:53.768752Z

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.

source=pdf_text observed=2026-05-14T19:40:38.232446Z digest=sha256:3797a05c7fc3da58e4ff67945b825aab0de9b75f5f29104e82c33434c433cbae

Observation 8c947e78-4d1e-422d-8036-a1915d381d4a · inbound

Text2Score: Generating Sheet Music From Textual Prompts cites this paper.

Text2Score: Generating Sheet Music From Textual Prompts NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T14:10:39.875104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:10:39.875104Z digest=sha256:df16bd372b9a7f63ffb9b371cee95db43b4accca4160ff6b765d202fe3a868de