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Paper Citation Record · LEDGER

ComposerX: Multi-Agent Symbolic Music Composition with LLMs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2404.18081.

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

pith.paper-citation-record.v1
2404.18081 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:06:38.021601Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.324621Z

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 65889b15-fe79-41c9-83cf-103f0082c292 · inbound

AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!" cites this paper.

AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!" ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T19:31:51.423169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:31:51.423169Z digest=sha256:3998474d3b827d1f291fa348d74845fc561a1f021fee6847b50d7622e74f3a77

Observation 88299b99-7bfa-4272-a63a-d7459ff58f9d · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 218

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.159385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:4f1b3e45602ba2b2ae32f62e2fa147b8f8096b8b86c904c6c2e21b4f906632f0

Observation c7e03872-ac39-4118-ab15-8c40adcf1761 · inbound

From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent cites this paper.

From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agent ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T04:06:38.021601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:06:38.021601Z digest=sha256:8d8803b6ea4623b5baa942c45c08f7a4c6f979e48375e13eca61e65a5c8a2c02

Observation 3e2a8aab-68c4-4773-857d-1937fc4191b4 · inbound

User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data cites this paper.

User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T23:21:01.832136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:21:01.832136Z digest=sha256:d5242063011ed446c060fea7af0146d6be95144d576133010fc8b5405951a09a

Observation 2b201671-8aca-43d5-bf08-0a4467210ebc · inbound

Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing cites this paper.

Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:44.689965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:44.689965Z digest=sha256:5d43a2389b279461a95137fcbd8f86a2af5ba1f9332df68dda049e6e096b529a

Observation 713030fa-04f8-4ba1-b4a1-b9cc1fbae6b0 · inbound

Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs cites this paper.

Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:29.011889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:29.011889Z digest=sha256:7595df1d6eb3aa221f85ca70d7cca026a364f0a704986e7670bd8e40be70a23a

Observation 23d02d16-9100-4cc7-a00e-15b6ad252bcf · inbound

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning cites this paper.

An Intelligent Fault Self-Healing Mechanism for Cloud AI Systems via Integration of Large Language Models and Deep Reinforcement Learning ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.871587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.871587Z digest=sha256:baa38a8dcc4088fa3c1e2ca14e2ab2ea38b5920e8932d46d388e09ff6ac985c4

Observation 78d0e51d-8b8b-45a6-83e4-a07d78dda0c1 · inbound

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models cites this paper.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T18:58:26.424507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:58:26.424507Z digest=sha256:036500c2bee52d9c8f04dcfe7a7931df37dfd409ce406eee439a20fa72c0db25

Observation 13a4c963-fe97-49ae-a9aa-06ae64e3aa0c · inbound

Let Your Video Listen to Your Music! cites this paper.

Let Your Video Listen to Your Music! ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:47:36.857769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:47:36.857769Z digest=sha256:f760a735e1af88f72d7e4c91ddccb3a29d4c5c8aff19189ecd4c2d006f72411f

Observation f1643b15-8b72-4397-b481-7e1120684c14 · inbound

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

CoComposer: LLM Multi-agent Collaborative Music Composition ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:08:48.821445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:08:48.821445Z digest=sha256:a0d2ed5e91b95262f0e2ba674f052ebbff45a330e84e38ad2edb9250ca9d3434

Observation 9ba2d457-95d5-43ab-a9c2-9b9ebdb0151e · 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 ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T17:01:26.247776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:01:26.247776Z digest=sha256:45c5ff5e37ca68d1e47de6d0d2f504c540be15802103410cd11c348289584b9a

Observation 5c482f79-e1e1-44b7-935a-428d6e302168 · inbound

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents cites this paper.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:18:01.284137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-13T17:16:17.464937Z digest=sha256:b9ee436ca4424ee18f13206dddc349ad800104371dad957cb421680882c20f17

Observation c2955290-3dd6-4477-b512-fe5807604eda · inbound

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

Text2Score: Generating Sheet Music From Textual Prompts ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:42:53.754519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T19:40:38.232446Z digest=sha256:f57dbdd2365fb2911e0a25a3ad25de930d922f3b5e45ee19b304f6b2069d7d90

Observation 09d29322-960f-4776-b7b8-c6701094df33 · inbound

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

Text2Score: Generating Sheet Music From Textual Prompts ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T14:10:40.629323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:10:40.629323Z digest=sha256:3cfc6635de8a1514c12db8afc3c88968b2ff38094291def103f1cd9a62b81224

Observation 0fd51059-e826-4b01-a907-ef6c804dcd0c · inbound

AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation cites this paper.

AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:28:18.781955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T08:04:48.283908Z digest=sha256:6de7ddde6c5bc62e59fb2694e581e70f0e3c0ea33bf51f7604e1093f0bef549c

Observation 923ad2b7-aeaf-47d9-89c0-d44098cde41a · inbound

Libretto: Giving LLM Agents a Sense of Musical Structure cites this paper.

Libretto: Giving LLM Agents a Sense of Musical Structure ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:49:44.326154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T09:30:56.739353Z digest=sha256:677827c3965fb7239b1e9ed230a0479bd795b074e1c00e7ee98d4e49069c7321

Observation 6d6643bb-c8ee-4f98-8452-354e9c3e6f25 · inbound

Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model cites this paper.

Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:58:32.346123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-03T14:58:02.786187Z digest=sha256:a9e59b5a35a92a73cd6d0f5e3990bd437f40e5c0dd9f071075ed0fd617d65e79