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Paper Citation Record · LEDGER

Retrieval Augmented Generation of Symbolic Music with LLMs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10384.

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

pith.paper-citation-record.v1
2311.10384 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:09:57.551202Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T17:22:18.869890Z

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 b0111806-a9f6-4f14-af0e-a808c2b3e499 · inbound

Improving Controllability and Editability for Pretrained Text-to-Music Generation Models cites this paper.

Improving Controllability and Editability for Pretrained Text-to-Music Generation Models Retrieval Augmented Generation of Symbolic Music with LLMs

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:22:18.874918Z

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.

source=pdf_text observed=2026-08-12T17:22:17.928087Z digest=sha256:74df4f63b0b317d1b9f439aac2ebf8e5e46271203a5db02d87f50531bf009fa6

Observation 304a257b-06b8-4c91-bb8d-d3e27030fbd5 · inbound

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data cites this paper.

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data Retrieval Augmented Generation of Symbolic Music with LLMs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T19:09:57.551202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:09:57.551202Z digest=sha256:abe309424211543f08ffb01fceaf28bc0a9ab510c64bb53a78ee0f1b9d8a6244