Paper Citation Record · LEDGER

Towards an LLM-based method for quantifying the sexual content in song lyrics

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.08885.

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

pith.paper-citation-record.v1
2608.08885 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:07.505915Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact9
verified fuzzy2
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e944fedb-175e-4eec-bee7-25df229ec88d · outbound

This paper cites From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics.

Towards an LLM-based method for quantifying the sexual content in song lyrics From Joy to Fear: A Benchmark of Emotion Estimation in Pop Song Lyrics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T04:25:07.438146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b629df91-3b83-40e8-9267-868167f30c7b · outbound

This paper cites DSVS at MiSonGyny 2025: Multiple instance learning for misogyny speech detection in song lyrics.

Towards an LLM-based method for quantifying the sexual content in song lyrics DSVS at MiSonGyny 2025: Multiple instance learning for misogyny speech detection in song lyrics

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:25:07.991803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a9494f6-ab42-4cc2-9c3f-c641c711b617 · outbound

This paper cites María José Hellín García.

Towards an LLM-based method for quantifying the sexual content in song lyrics María José Hellín García

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-14T04:25:07.453344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7d63ee-ccee-471b-aeb7-b5bf744c60c2 · outbound

This paper cites Language mod- els for longitudinal analysis of abusive content in Billboard Music Charts.arXiv preprint arXiv:2510.06266,.

Towards an LLM-based method for quantifying the sexual content in song lyrics Language mod- els for longitudinal analysis of abusive content in Billboard Music Charts.arXiv preprint arXiv:2510.06266,

Reference 2006

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:25:07.874750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8006956c-7e1d-42c2-9654-fca04d624349 · outbound

This paper cites Priscilla Carballo Villagra.

Towards an LLM-based method for quantifying the sexual content in song lyrics Priscilla Carballo Villagra

Reference 2007

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.651541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eefe4eb4-65eb-4dc4-aa7e-e69ed024e202 · outbound

This paper cites Garrido-Merchán.

Towards an LLM-based method for quantifying the sexual content in song lyrics Garrido-Merchán

Reference 2017

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:25:07.759459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa21c970-ca37-46ea-95dd-ace43f277346 · outbound

This paper cites Brook Bretthauer, Toni Schindler Zimmerman, and James H.

Towards an LLM-based method for quantifying the sexual content in song lyrics Brook Bretthauer, Toni Schindler Zimmerman, and James H

Reference 2018

Resolution: verified exact; raw_fallback, observed 2026-08-14T04:25:07.955432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db13d2c2-6faa-48e6-9d15-40588f139e74 · outbound

This paper cites an unresolved cited work.

Towards an LLM-based method for quantifying the sexual content in song lyrics Unresolved cited work

Reference 2020

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.575076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 178056b2-0da9-473a-8d0c-6119e503ce95 · outbound

This paper cites Marie-France Merlyn.

Towards an LLM-based method for quantifying the sexual content in song lyrics Marie-France Merlyn

Reference 2021

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.592019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd343807-eb49-418c-a920-236f21963fd1 · outbound

This paper cites Luisa Fernanda Espinal Ramírez, Silvia Díaz-Fernández, and Johnny Orejuela.

Towards an LLM-based method for quantifying the sexual content in song lyrics Luisa Fernanda Espinal Ramírez, Silvia Díaz-Fernández, and Johnny Orejuela

Reference 2022

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.632245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 642b449d-1aae-4696-8fda-f02ed0896bab · outbound

This paper cites Ángel Torres-Toukoumidis, Camila O.

Towards an LLM-based method for quantifying the sexual content in song lyrics Ángel Torres-Toukoumidis, Camila O

Reference 2024

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.557704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e0d7f380-8a73-402d-8fb3-14cb7adb9745 · outbound

This paper cites Karina Arévalo, Emilia Chellew, Isabel Figueroa-Cofré, Adonai Arancibia-Villablanca, and Simone Schmied.

Towards an LLM-based method for quantifying the sexual content in song lyrics Karina Arévalo, Emilia Chellew, Isabel Figueroa-Cofré, Adonai Arancibia-Villablanca, and Simone Schmied

Reference 2025

Resolution: verified exact; doi, observed 2026-08-14T04:25:07.669748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52f2a1b2-9272-4dab-9fbc-202d3bc1b067 · outbound

This paper cites González, and Thamar Solorio.

Towards an LLM-based method for quantifying the sexual content in song lyrics González, and Thamar Solorio

Reference 2026

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:25:07.972301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.