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Paper Citation Record · LEDGER

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation

As of 23 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.03244.

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

pith.paper-citation-record.v1
2505.03244 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:00.142458Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51851aae-6371-4dea-881f-c8ca8907e276 · outbound

This paper cites Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J

Reference 1

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no resolver link, observed 2026-08-15T23:59:00.026645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.026645Z digest=sha256:b8aa4aaad3b06a8a5291131eb464584df221e61a60d6e573ecb084dd28aaad8f

Observation 1a9935d9-140c-4205-8ad5-6d67b1eb25d7 · outbound

This paper cites Harnessing the power of llms in practice: A survey on chatgpt and beyond.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Harnessing the power of llms in practice: A survey on chatgpt and beyond

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.509067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.032909Z digest=sha256:31bccf02bfb27caa1590a36a1d4cb65d929cfe74006c32fe5fb6fb3e6bcd996c

Observation 41982893-fb79-4be4-a713-97fa2a489b68 · outbound

This paper cites Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.038223Z digest=sha256:90f63d422a8af2134fd8c3b0c8facfceff1427ca6a051068dc4eddbc493325c5

Observation bf3f5bd6-13a2-47eb-a938-80e5c797c654 · outbound

This paper cites AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Reference 4

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no resolver link, observed 2026-08-15T23:59:00.043771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.043771Z digest=sha256:cac6a26a0225424abca9731caca742dd547a6c17bf16559a87463b53a84c1003

Observation 359944dc-5779-4558-a879-c3fa417ca82c · outbound

This paper cites Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition

Reference 5

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no resolver link, observed 2026-08-15T23:59:00.049332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.049332Z digest=sha256:a8ef4adfd8731eff95b3593215f271ce9c730474303ed652c580f77f9e1bfb94

Observation 75b85004-eed6-403e-bb17-3c0dc084e2c2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 6

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no resolver link, observed 2026-08-15T23:59:00.055750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.055750Z digest=sha256:6a9b0126d550bb5ba90a75c956f75f141a73bf5e029cf573ec7883911d839efe

Observation bc1c608f-7f4e-43ad-b204-e2c43854617d · outbound

This paper cites Simple and controllable music generation.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Simple and controllable music generation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.494615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.062312Z digest=sha256:2adafcd9e18864ed1fa4aeefb4f5aabea88c86cd3b3e041fc2c0b335d474b85e

Observation 40c1dc0e-3032-4ca8-baca-9ebce69375ee · outbound

This paper cites Musenet, April 2019.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Musenet, April 2019

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.479721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.067449Z digest=sha256:5b01b28c61a2444418327abf8d4938657891139b5b978fbf3518c26c47632045

Observation e3b47908-5623-4686-b3cd-ef1a9b7ac307 · outbound

This paper cites Mandic, Wenwu Wang, and Mark D.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Mandic, Wenwu Wang, and Mark D

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.465147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.072012Z digest=sha256:ae3df9112f2e0c0704b747f2c54f1415163cf77b7a91814e710c79a496d617e8

Observation e4ab095f-5c0d-40b5-b7ad-3f4e4f6d4e75 · outbound

This paper cites Stable Audio Open.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Stable Audio Open

Reference 10

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source=pdf_text observed=2026-08-15T23:59:00.076519Z digest=sha256:a8a707f3f607a72a5efdcca2e12b7efda4d1ccd60823a88afb4b644fcf4df707

Observation 4173c9ee-9dae-41cc-a49e-39dabcd189be · outbound

This paper cites Gpt-4 technical report.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Gpt-4 technical report

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.450294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.081212Z digest=sha256:07f0e2debd16cde5dbef8f547fda392faebbcd88962fce11e06002fb8b108742

Observation 83e6ea8c-bae6-4334-a739-a68daa5e15f4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

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no resolver link, observed 2026-08-15T23:59:00.085960Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.085960Z digest=sha256:cde0486d4d43394dafcd48951a0293266c351fc0f1fde17d18b9629517ae10e1

Observation 7fd385b5-27dc-4af6-8463-c98b1e13d34d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Evaluating Large Language Models Trained on Code

Reference 13

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no resolver link, observed 2026-08-15T23:59:00.090791Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.090791Z digest=sha256:3cce1a471cb57445581ab4d6406cc049d0f27392b457649b0662cb8ca42586cb

Observation 436e85f5-d006-499e-8390-3f91f5d166e5 · outbound

This paper cites Introducing Microsoft 365 Copilot — your copilot for work, 2023.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Introducing Microsoft 365 Copilot — your copilot for work, 2023

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.434823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.095710Z digest=sha256:551ba9d56e2bc050fccccbe20dbcddc70faf21bf1ff1a69eb419fd6dca3c3e31

Observation 4cbad432-fb44-47ff-85c2-35d4e7f5a731 · outbound

This paper cites Language Models are Few-Shot Learners.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Language Models are Few-Shot Learners

Reference 15

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no resolver link, observed 2026-08-15T23:59:00.099935Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.099935Z digest=sha256:f3f79ce4593955ba1b7f450e4703d3012512a2f262c495eac85aea80227597a4

Observation 79f80e9d-2ade-417b-ab68-fe0a648ff09d · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 16

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source=pdf_text observed=2026-08-15T23:59:00.104439Z digest=sha256:562f241aeccb8e308a3929595ce4c801c5428fdcb169dc5432cf6a696187dda7

Observation a064dce2-0052-45aa-b9ce-c3ccb7320265 · outbound

This paper cites International Organization for Standardization, 1996.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation International Organization for Standardization, 1996

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.420121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.109085Z digest=sha256:61bccf01b1df20fda512a4eba2303367fab1b47fbc35f85e411a77247e197b70

Observation 9c5f24e5-dd80-4928-9efe-3f0d0c10d210 · outbound

This paper cites Dynamic Programming.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Dynamic Programming

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.404845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.113363Z digest=sha256:c56e735545b9e63ac335f0c089def315fa80391efb0b7e285bb9c98c3976a1a3

Observation fb35e11d-7f53-4de5-bd67-5465e8eb6e61 · outbound

This paper cites Plumbley, Huy Phan, and Emmanouil Benetos.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Plumbley, Huy Phan, and Emmanouil Benetos

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.388699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.118737Z digest=sha256:799c8067b083ec8ca6313305385f8a4469ac38f7cb36564b6529624f4fc54c7c

Observation 0e4f9c83-0e42-40ab-aab9-162234e46b5f · outbound

This paper cites WavJourney: Compositional Audio Creation with Large Language Models.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation WavJourney: Compositional Audio Creation with Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:00.123327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.123327Z digest=sha256:33bfa4a2d54584612daa58c68327e0f6ed40270f6e7120719d0778e2aadf0347

Observation 4506d186-61ff-4305-bdca-d381f4a9fb8d · outbound

This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 21

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no resolver link, observed 2026-08-15T23:59:00.128331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.128331Z digest=sha256:281b287823b2736e77eda59f7dbbb87a518c0c1e56b2c00504276bbb9bd2d854

Observation 5faa37fa-6b7f-4af1-a65d-a800a36973e8 · outbound

This paper cites Iqbal, Y.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Iqbal, Y

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.373613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.133742Z digest=sha256:7440632b6ec8afad22b836ac54113101e62cc2aa61c5f6a2d6f1d895222df7c6

Observation 95fef481-f318-46c2-8bc7-87ab8ec4cd95 · outbound

This paper cites Clap: Learning audio concepts from natural language supervision, 2022.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation Clap: Learning audio concepts from natural language supervision, 2022

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.138079Z digest=sha256:42d1411dea9ff2d380002012d7883b9d7d40f372765888eb2b1ec964363bdf3e

Observation 0669e23c-a985-4a51-9615-ec4fc9307f4b · outbound

This paper cites A reference-free metric for language-queried audio source separation using contrastive language- audio pretraining.

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation A reference-free metric for language-queried audio source separation using contrastive language- audio pretraining

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:59:00.348173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T23:59:00.142458Z digest=sha256:4a5a17bdb87270637d69bee1732eef95b48ae2b6dea45e785b7506e67b7d36ae

Pith citing papers

No inbound Pith citation observations are available.