Paper Citation Record · LEDGER

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2501.06276.

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

pith.paper-citation-record.v1
2501.06276 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:35.082934Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:34.920841Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:08:37.819812Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy28
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae09bece-a7cd-4d03-a640-8fc3ab0ff7cb · outbound

This paper cites an unresolved cited work.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:09:35.564020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a4491153-9b71-43eb-8361-b68bab420ec7 · outbound

This paper cites PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.920841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e8761a-f39a-4a1a-bd6c-1cd9b5819efe · outbound

This paper cites Initially, we pre-train a multispeaker English TTS backbone model uti- lizing a large publicly accessible dataset.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Initially, we pre-train a multispeaker English TTS backbone model uti- lizing a large publicly accessible dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.551954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28294d3a-8f25-45e5-8e5b-169636cb96ff · outbound

This paper cites Baselines and Datasets We utilize the LibriTTS [28] for pretraining, which includes 33, 236 training samples (equating to 53.78 hours) collected from 247 speakers.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Baselines and Datasets We utilize the LibriTTS [28] for pretraining, which includes 33, 236 training samples (equating to 53.78 hours) collected from 247 speakers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.527205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f9a1b84b-2917-4371-b561-17c8f575e5aa · outbound

This paper cites Objective Evaluation To assess synthesized speech expressiveness, we analyze emo- tion recognition across different models.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Objective Evaluation To assess synthesized speech expressiveness, we analyze emo- tion recognition across different models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.515164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ea96620-6330-4c69-9261-a154450227ab · outbound

This paper cites an unresolved cited work.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:09:35.503840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec112fbb-13c0-4a28-b8b7-2c43f7111a50 · outbound

This paper cites Multi- speaker expressive speech synthesis via multiple factors decou- pling,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Multi- speaker expressive speech synthesis via multiple factors decou- pling,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.445273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49bb835a-2999-479a-8c7c-c9865de43a80 · outbound

This paper cites A review of deep learning techniques for speech processing,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control A review of deep learning techniques for speech processing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.492681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 304b3469-c214-49b8-b21e-bf8811bbf1c3 · outbound

This paper cites FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.949717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1918cb47-b0eb-41d2-90e0-1ba2df8db0be · outbound

This paper cites Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.953521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4dce59-35db-4191-ad7e-d00eed9c84ca · outbound

This paper cites Expressive speech synthesis: a review,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Expressive speech synthesis: a review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.475270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1773c3ea-f87f-4015-96e4-324cc75fc722 · outbound

This paper cites V oicebox: Text-guided multilingual universal speech generation at scale,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control V oicebox: Text-guided multilingual universal speech generation at scale,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.961669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22dcde4a-6bc9-45a8-8df5-d8a63b7a8ec0 · outbound

This paper cites Msstyletts: Multi-scale style modeling with hierarchical context information for expressive speech synthesis,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Msstyletts: Multi-scale style modeling with hierarchical context information for expressive speech synthesis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.457079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 171976f6-926b-42ec-ac39-073b22a02913 · outbound

This paper cites Style tokens: Un- supervised style modeling, control and transfer in end-to-end speech synthesis,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Style tokens: Un- supervised style modeling, control and transfer in end-to-end speech synthesis,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.995520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb79fcc9-ca34-49e8-bc8b-7c603abeecbd · outbound

This paper cites Ensemble prosody prediction for expressive speech synthesis,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Ensemble prosody prediction for expressive speech synthesis,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.432987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e22642a2-96e3-4976-ad94-0c22a55faee0 · outbound

This paper cites An overview of affective speech synthesis and conversion in the deep learning era,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control An overview of affective speech synthesis and conversion in the deep learning era,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.420498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1a956523-08bd-488b-8c75-57f198143293 · outbound

This paper cites Prosody-tts: An end-to-end speech synthesis system with prosody control,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Prosody-tts: An end-to-end speech synthesis system with prosody control,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.980661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22757c72-eb71-40d1-ad12-f7f566e29cd9 · outbound

This paper cites Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.402116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fbf42999-012e-4ed7-9534-969779d28c25 · outbound

This paper cites Exploiting emotion information in speaker em- beddings for expressive text-to-speech,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Exploiting emotion information in speaker em- beddings for expressive text-to-speech,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.391318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 435a2ef0-aca9-4e44-8be1-67bc8d8d5223 · outbound

This paper cites EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Syn- thesis,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Syn- thesis,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.381236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44ef7b31-f0db-49b0-b167-98dcaefe20d1 · outbound

This paper cites Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.308417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 960dc8a4-2ea3-47fa-90a3-4a4a4d0ac8a8 · outbound

This paper cites Prompttts: Control- lable text-to-speech with text descriptions,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Prompttts: Control- lable text-to-speech with text descriptions,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:34.999491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb87d6c-6670-4bc8-aa3b-1bac18fe59d6 · outbound

This paper cites We intend to improve upon the algorithm proposed in [23] for predicting emotion intensity levels using a multispeaker emotive speech dataset.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control We intend to improve upon the algorithm proposed in [23] for predicting emotion intensity levels using a multispeaker emotive speech dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.539109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee9f89f8-5449-4ff9-8744-ab3313cd80af · outbound

This paper cites Controllable speaking styles using a large language model,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Controllable speaking styles using a large language model,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.357008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fbc63428-e708-4095-a5cc-30197bd47213 · outbound

This paper cites Emodiff: Intensity con- trollable emotional text-to-speech with soft-label guidance,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Emodiff: Intensity con- trollable emotional text-to-speech with soft-label guidance,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.344939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 845a4112-e8c3-4d00-a9f5-27441f69db91 · outbound

This paper cites Fine-grained quantitative emotion editing for speech generation,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Fine-grained quantitative emotion editing for speech generation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.333132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8c9ac93-f5ed-4e8f-8254-f0a9bf0fdcbd · outbound

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

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Train- ing language models to follow instructions with human feedback,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.320058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 247c7768-c071-4474-85a1-1ce7ff51ca9c · outbound

This paper cites InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control InstructTTS: Modelling Expressive TTS in Discrete Latent Space with Natural Language Style Prompt

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.018333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88e0b78-3d9d-436f-b3f1-680243dad3f6 · outbound

This paper cites Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.028120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 860ced15-bb13-4538-b808-ec87e987fb56 · outbound

This paper cites Emotion intensity and its control for emotional voice conversion,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Emotion intensity and its control for emotional voice conversion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.288765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d85ad086-acba-49c4-af5e-db3e5c0e9f64 · outbound

This paper cites Learning visual attributes,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Learning visual attributes,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.276915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 373f9213-95bb-42a0-b293-98f84ffc3ef0 · outbound

This paper cites opensmile: The mu- nich versatile and fast open-source audio feature extractor,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control opensmile: The mu- nich versatile and fast open-source audio feature extractor,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.264947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ff08090-d94e-4596-ab52-f61aab1eedaa · outbound

This paper cites Relative attributes,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Relative attributes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.251963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 742f6c2b-7447-41d3-9f2a-d10af22316f0 · outbound

This paper cites Gpt-4 system card,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Gpt-4 system card,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.239664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e54675a-d36e-441c-be70-3ced3c72c5c1 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.050554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f911a4dd-66ad-4704-a1b0-8f257ba21694 · outbound

This paper cites Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.054553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345a9f60-4e17-407f-b52c-a48cfe91c329 · outbound

This paper cites ubisoft-laforge-daft-exprt,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control ubisoft-laforge-daft-exprt,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.227120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9b38db95-e8b5-4448-a571-ca6750f7bec0 · outbound

This paper cites Generalized end-to-end loss for speaker verification,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Generalized end-to-end loss for speaker verification,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.063108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38bb2fbf-e097-4d0b-ac8b-a839e2f6fb03 · outbound

This paper cites Hubert-base,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Hubert-base,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.207952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 881ad810-739b-4073-92b1-e5e29258e8b6 · outbound

This paper cites Synthesizer voice qual- ity of new languages calibrated with mean mel cepstral distor- tion.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Synthesizer voice qual- ity of new languages calibrated with mean mel cepstral distor- tion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.196402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90936019-a344-4f86-90ec-6b831b620153 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Robust speech recognition via large-scale weak su- pervision,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:35.075180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3615b9af-3e54-4f7b-a0ad-3b6a80c95031 · outbound

This paper cites Mean opinion score (mos) revisited: Methods and applications, limitations and alter- natives,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Mean opinion score (mos) revisited: Methods and applications, limitations and alter- natives,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.178593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation acd42077-81cd-427b-a8e4-c0bb04f4ef43 · outbound

This paper cites Fine-grained emotional control of text-to-speech: Learning to rank inter-and intra- class emotion intensities,.

PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control Fine-grained emotional control of text-to-speech: Learning to rank inter-and intra- class emotion intensities,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:09:35.166810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation a4491153-9b71-43eb-8361-b68bab420ec7 · inbound