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Paper Citation Record · LEDGER

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2411.13100.

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

pith.paper-citation-record.v1
2411.13100 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:55:37.089655Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:55:36.857617Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T16:55:37.147457Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4df95e70-0281-4a1d-bc69-8f8e375fceb9 · outbound

This paper cites an unresolved cited work.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:55:37.927821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.851532Z digest=sha256:408c93f8b528723e178c09b803e53c7bcacd665e794999b350438fd9a7a7f150

Observation a5b88f3f-7b02-4a71-a004-73041639e033 · outbound

This paper cites Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T16:55:37.155055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.857617Z digest=sha256:c0fde2cc0f0a078b46753ad3d5efd32e2ab4bf41f1856c406c28a4666dba4fa3

Observation 3505ecff-2578-49d9-83d1-91dc4640bf67 · outbound

This paper cites Multi-Level Granularity Lyrics Generation Our system generates lyrics at various granularities (words, phrases, lines, paragraphs) with precise syllable control.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Multi-Level Granularity Lyrics Generation Our system generates lyrics at various granularities (words, phrases, lines, paragraphs) with precise syllable control

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.909252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.864284Z digest=sha256:5eeeb2afe077326d11b960e244c1ff14e70bdc0863ebcbd890d1ff7e6eaf2845

Observation 788a3187-417d-4928-a3dd-a677c37fb003 · outbound

This paper cites an unresolved cited work.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Unresolved cited work

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T16:55:37.872684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.875287Z digest=sha256:2b1f6ace1571199d5aa42cd3d8f0e838f3c7ee6a2b6554ca030b271a2ea9e656

Observation 1d8f2805-7228-4b49-894a-2da9ca678eed · outbound

This paper cites an unresolved cited work.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:55:37.853298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.881975Z digest=sha256:4ddd552aafb82e861f819300fde21d6abb6e2d73a5a77bfe823f038c22a9b9ec

Observation cdbeee21-1077-4025-8bb3-374ddaec9bf7 · outbound

This paper cites This method enhances the flexibility and structural accuracy of the generated lyrics.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control This method enhances the flexibility and structural accuracy of the generated lyrics

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.833365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.888845Z digest=sha256:f226cc2f20adafd15700c7ce990f4aa7f415fca8783b078f2c060e7ddf46b972

Observation 06fdc5bf-eae8-4299-994a-abc0653d08c1 · outbound

This paper cites RS-2024-00461617, 40%], Information & communica- tions Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) [No.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control RS-2024-00461617, 40%], Information & communica- tions Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) [No

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.815819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.895851Z digest=sha256:f0ed21c729326cc4871b82875fd52f8b533ab9c2144dd189fe1eeda317279552

Observation 0227f51a-2d7f-41be-a63d-b3da1345f453 · outbound

This paper cites Lan- guage models are few-shot learners,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Lan- guage models are few-shot learners,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T16:55:36.941899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:55:36.941899Z digest=sha256:946775e87fb638d1baa9acd202993531c1d091c0d0fc8fcf76b1325f3d6d1419

Observation 211c9329-f9e1-41d3-a091-bcd71e3ca6b1 · outbound

This paper cites Lyrics information processing: Anal- ysis, generation, and applications,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Lyrics information processing: Anal- ysis, generation, and applications,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.794913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.901325Z digest=sha256:39db8538e5ca413e9f01cb278074794765fbf1bf4a18745b3eed49bc480b7591

Observation 18d00b0d-1e36-4e97-85cf-5ba1b062d396 · outbound

This paper cites A melody-conditioned lyrics language model,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control A melody-conditioned lyrics language model,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.774479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.906649Z digest=sha256:ec06b7411e09cd68bb7df13f5b7c83510e2c98bb3042d0943bb6f3989c74fdb2

Observation 9b6e358b-74d6-4214-8f3e-038c0c6d0b9d · outbound

This paper cites A syllable- structured, contextually-based conditionally generation of chinese lyrics,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control A syllable- structured, contextually-based conditionally generation of chinese lyrics,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.757448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.912429Z digest=sha256:ff6594ac847b871cc3d6705291735e3169d7ad8d29395d34954d93012205da57

Observation 9cadc425-8f4e-445f-b6ec-65a1dd8b6123 · outbound

This paper cites Songmass: Automatic song writing with pre-training and align- ment constraint,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Songmass: Automatic song writing with pre-training and align- ment constraint,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.737421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.917821Z digest=sha256:84138b39c0e3ed06b223eb11511252357721c31f5898b032d5723a10f5b9dfdb

Observation 6d69b2ce-280f-437f-9dfa-74efd2497aec · outbound

This paper cites DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T16:55:36.924960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:55:36.924960Z digest=sha256:a51ae67e5e9bc644eaf08e41b2e57fad8b99377ce9ce2e96cd0893f6a210f787

Observation d1e791c9-0308-42a1-80ac-653e935dcd00 · outbound

This paper cites Conditional lstm-gan for melody generation from lyrics,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Conditional lstm-gan for melody generation from lyrics,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.709497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.930593Z digest=sha256:6a47e64e4787b61df158a7b84a25f660c55493a25f9e81e04a6beb484f5a5ef3

Observation 1fc892ab-4916-4e5f-956c-249414d056c1 · outbound

This paper cites Contrastive learning-based audio to lyrics alignment for multiple languages,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Contrastive learning-based audio to lyrics alignment for multiple languages,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.690002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.935691Z digest=sha256:4669c738de0328e6d2de8c1d3621970d1bdfbaa89b0ceb9f7846edfc32dce2b1

Observation 50624f54-59ae-494d-8de6-a0b8b6cb736c · outbound

This paper cites Automatic poetry generation with mutual reinforcement learning,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Automatic poetry generation with mutual reinforcement learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.532697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.990164Z digest=sha256:d4cdc6dee9708aaa6ccc690ce9b940cc1a3473242e50dd430f97ff1f83cd3592

Observation 2e64989c-aa75-4d5c-b692-817caa195665 · outbound

This paper cites Melody-conditioned lyrics generation with seqgans,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Melody-conditioned lyrics generation with seqgans,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.658708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.949486Z digest=sha256:4d266d787dfcf9aca150a5fab66ce35d20fccf791418e658b2eb55e15b005b2e

Observation 49c96192-edfe-4fab-87ad-e60fe2bc3c73 · outbound

This paper cites Ai-lyricist: Gener- ating music and vocabulary constrained lyrics,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Ai-lyricist: Gener- ating music and vocabulary constrained lyrics,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.640184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.955586Z digest=sha256:ee32827e6aba588a33c572c5e953155cde1a3bf5f614f4839dc81dd986bf0d12

Observation 58b7d243-5abf-47d0-a229-cc2251234b07 · outbound

This paper cites Un- supervised melody-to-lyrics generation,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Un- supervised melody-to-lyrics generation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.623085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.960476Z digest=sha256:fce9a39fc569a4510a6bbe4225ea37b55698000b69388ffda2d5ee6b5807131d

Observation 7008b997-a896-4cb6-9887-96d08b3d68eb · outbound

This paper cites Seqgan: sequence genera- tive adversarial nets with policy gradient,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Seqgan: sequence genera- tive adversarial nets with policy gradient,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.605468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.966236Z digest=sha256:abf3072398f780cf77939619cf7838b86091fabc4688a0196a6ce139f14ae0dc

Observation a8cd91ec-2f03-48f3-aa4d-5315df7754fb · outbound

This paper cites MASS: Masked se- quence to sequence pre-training for language generation,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control MASS: Masked se- quence to sequence pre-training for language generation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.586504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.972829Z digest=sha256:f7f9028633fc29871d8cda771f03cb234a94de1d94b0800a5f58c5312c770085

Observation db9acd5d-cc1b-4481-8e38-f346a174dd69 · outbound

This paper cites an unresolved cited work.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:55:37.891276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.869588Z digest=sha256:a9233b0e25a58fd6d3ba8d19dab1c817fe416cadeb86e1b43151dc5cd61765bd

Observation 73667956-1d23-478e-a567-a6bf130695f4 · outbound

This paper cites Chinese poetry generation with recur- rent neural networks,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Chinese poetry generation with recur- rent neural networks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.567316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.978150Z digest=sha256:17e03fb0ca55733bf5f47236d97c858318360e40cc5a1d1aa2eb1708aebd29b6

Observation f7d3060e-0e41-40c9-a1f9-2e26465054ab · outbound

This paper cites Generating chinese classical poems with rnn encoder-decoder,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Generating chinese classical poems with rnn encoder-decoder,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.550553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.983142Z digest=sha256:0bfdbaf6d23fbd4bb9cb009d1e68afe61dbdf50cbee9285cf3f4db326e2b4a2b

Observation 26044e77-afe3-4987-8281-b3ff0d037233 · outbound

This paper cites K-pop lyric transla- tion: Dataset, analysis, and neural-modelling,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control K-pop lyric transla- tion: Dataset, analysis, and neural-modelling,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.515121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.995973Z digest=sha256:2ea8ed6eae042351224c3179a664008856d2d58d3fe8d296235368fe2410c4f0

Observation 52a6d75a-168e-4039-9996-24a1a49b7aa0 · outbound

This paper cites Automatic song translation for tonal languages,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Automatic song translation for tonal languages,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.497937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.001490Z digest=sha256:72a1fee83f4fb41d664dff6fc00535fad282f3b34166eca1fc9b554ed1ed343b

Observation 413bed86-b24b-4219-9196-c04841f1fba8 · outbound

This paper cites Semantics of the unwritten: The effect of end of paragraph and sequence tokens on text generation with GPT2,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Semantics of the unwritten: The effect of end of paragraph and sequence tokens on text generation with GPT2,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.478085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.006196Z digest=sha256:32c6e7e3b55f0bf7ee87180f875c66087cd0a3d14ce19ce14019584c582c25a9

Observation dbb422e6-595d-4883-bcb1-3004fb8bb213 · outbound

This paper cites Sentence-bert: Sen- tence embeddings using siamese bert-networks,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Sentence-bert: Sen- tence embeddings using siamese bert-networks,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.459144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.011266Z digest=sha256:a71f0dcd2febb62ba000674fd93d7724da9d548a3644d3b22e7e6ab75133f8d2

Observation afae8a37-3dd2-482c-ac27-6076d6c78ba2 · outbound

This paper cites Text-to-lyrics generation with image- based semantics and reduced risk of plagiarism,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Text-to-lyrics generation with image- based semantics and reduced risk of plagiarism,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.441455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.016903Z digest=sha256:0a44b82caa65d6e70fe2bffb1dbf2725d35f4dbe98b42935424044b00ab652de

Observation afa6fb1b-2e8d-4d1b-a10e-010178074bf8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control High-resolution image synthesis with latent diffusion models,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.425019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.022204Z digest=sha256:1630f312235c32731f8a0629635194f4e9708d827513187a65436d8332c86f71

Observation f003c37c-8e16-4a2f-be92-09625a6f290e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.405942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.027400Z digest=sha256:a635440da40ce770a60056774254e78adf8a5d729e559685ebcbc6d2dce2e1a3

Observation 1e42a2ff-86ed-4293-9a35-b2e6c17443f6 · outbound

This paper cites Enabling language models to fill in the blanks,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Enabling language models to fill in the blanks,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.389293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.032162Z digest=sha256:1b7db5917c793006fdbee99cb805b95b754afc555f4b55c5d4b07d406dd32d3a

Observation e7659f25-cd4d-4e1e-8b68-1d2d977f417a · outbound

This paper cites Genius song lyrics dataset,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Genius song lyrics dataset,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.369100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.036933Z digest=sha256:7872f6e0629d013845c5e48f4bcfd4210c9de6ea6dee6c6ac8bf68d82bdd6d33

Observation b5aea1af-f358-427f-90ec-0b2f717a28d8 · outbound

This paper cites Detoxify,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Detoxify,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T16:55:37.042800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:55:37.042800Z digest=sha256:9ba373d65e4f85f39ca456072bf4e2ee5e0ac02c1813109329c24f393b64560a

Observation a9d81985-afd1-408a-b930-57ca348161f1 · outbound

This paper cites Syllables: A fast syllable estimator for python,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Syllables: A fast syllable estimator for python,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.334321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.048797Z digest=sha256:bd69c41b464266f9945fa217c5228eca449bf20936c2289b26f7c1f5c3778311

Observation 1f45ec0e-839c-4283-8ba1-8ec5e66a55ea · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control BART: Denoising sequence-to-sequence pre-training for natural language genera- tion, translation, and comprehension,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.316458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.053780Z digest=sha256:a6d776443201306de5d5c4037a1cdf97a1fe5b7c2f999ee774b8eef218ba480e

Observation 2e826516-5879-4461-b208-a64a87eac2a9 · outbound

This paper cites Language models are unsupervised multitask learners,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Language models are unsupervised multitask learners,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.297809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.058887Z digest=sha256:c494ef101f4d87d49d9e7d2b2623a5abb5be1ffee7c7edefc43634381fa39336

Observation 247899fe-08da-44c1-9a9c-fb52df9f946f · outbound

This paper cites Decoupled weight decay regulariza- tion,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Decoupled weight decay regulariza- tion,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.271345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.063847Z digest=sha256:e652dd70e3c36c4fd12fcd8ba1e700b711bafcbe4ab720a8d06eb169243e743b

Observation ada58e38-9bf2-42b6-bcb0-068c72d902b5 · outbound

This paper cites A computational evaluation framework for singable lyric translation,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control A computational evaluation framework for singable lyric translation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.247010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.069438Z digest=sha256:81bb4094cb7c3efc43010f1ca9ed27e132ffea4100b6896303ddaafe6fcbbfc6

Observation 799db50f-5a08-4bee-93a5-d09a72f729aa · outbound

This paper cites BERTscore: Evaluating text generation with bert,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control BERTscore: Evaluating text generation with bert,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.228156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.074759Z digest=sha256:d2616b2e5fd27101abc03e7b3c6f76306d8ad9070ad6410469d8eac8cbe72e33

Observation 98e5382a-5f2a-4a29-a038-831e128af16b · outbound

This paper cites Fault-prone java method analysis focusing on pair of lo- cal variables with confusing names,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Fault-prone java method analysis focusing on pair of lo- cal variables with confusing names,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.211248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.079991Z digest=sha256:db1213f3ccc2e8fcc5a9a3f13039e4733c4a2d303569a3f9332368a301fcf7c4

Observation 0c2d9123-b44a-4066-b923-88f47ffd0d18 · outbound

This paper cites Train- ing language models to follow instructions with human feedback,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Train- ing language models to follow instructions with human feedback,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.193553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.084843Z digest=sha256:c77f494992eaa16184e38fbaa612398e05cd9787fab73b89cc81ad852577960b

Observation 1bd859e4-1e19-407a-8078-5de8b196829b · outbound

This paper cites Evaluating large language models on con- trolled generation tasks,.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Evaluating large language models on con- trolled generation tasks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:55:37.176240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:37.089655Z digest=sha256:18316b668f7c37bf0a72ca9937b0b5a1ce2cf538bbd0ad5ce818fc89e280b6e7

Pith citing papers

Observation a5b88f3f-7b02-4a71-a004-73041639e033 · inbound

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control cites this paper.

Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control Song Form-aware Full-Song Text-to-Lyrics Generation with Multi-Level Granularity Syllable Count Control

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T16:55:37.155055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T16:55:36.857617Z digest=sha256:c0fde2cc0f0a078b46753ad3d5efd32e2ab4bf41f1856c406c28a4666dba4fa3