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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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

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:e2542b79fcb221826b10f7362283407cfd9d6cc50da7331d6b3fed218c36db24

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.032909Z digest=sha256:139a9c65970ed011e492397e6636fa9ae16173808bc56a2727a9626e58458efb

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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no resolver link, observed 2026-08-15T23:59:00.038223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.038223Z digest=sha256:6939f77294a83a619385aeb134d30c5067308f3045d4d2d9d02feb9ce27398a5

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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unresolved
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=sha256:5c352e994a4f7d83f50c22b0d1c7a4a0fa1fceb1d7bd4b9b143bdb50067b9bf3

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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unresolved
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=sha256:314731263328f5d1c46adadee1e4f8796914d99e50a6be8d1bdaf7c0038883cd

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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unresolved
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:ec402ed8b9d45187db2405a1ffa0286f11fa81c53c39eb710c88814d0a615281

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.062312Z digest=sha256:89b9df8c3a09c6ca472beddccc6e8148432b8a8ccfa5ebcfc93398b5c03f6181

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.067449Z digest=sha256:2df49c876c2887dd2a2845d02ff9f06f55b968efddede0023db94012743893a4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.072012Z digest=sha256:2e4201cc42e2031472abf1cf2d3e4172b12c36fc3a15141bb78c618a1852ef6d

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.076519Z digest=sha256:9d433cc87a090c113ff509807345990ce58633915eaa6795e366ac2f12ca28cf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.081212Z digest=sha256:ad2a54c973ee2c029304f5c1b2b144422b66928833023c569bd48c7e5c067750

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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unresolved
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=sha256:11c2ac1fc5ddce0a870563720c9e13a6996e09147e46ac66e2c8b88ea8eedaef

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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source=pdf_text observed=2026-08-15T23:59:00.090791Z digest=sha256:ca4db79343cff7ef56844b344bb59f4cb28cf18af7ec05446fc51bf858fbbce0

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.095710Z digest=sha256:45d9ee1a820690fdbf4fe936406da113289a321bb67cc63d237b5b9618ff84a9

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=sha256:6c6dac8f06055120aa7dd612adac77f323f66610e56e1d7364625a0285712d5b

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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no resolver link, observed 2026-08-15T23:59:00.104439Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.104439Z digest=sha256:d36a112f4a62dbd653566f9ea568fd3168284088cf93ebc61472126bbaaa9bb3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.109085Z digest=sha256:051a4a5ad104cd7fb953298261ad4be35cf34a4fa7bb01d89c04e787b405ffea

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.113363Z digest=sha256:26f154c06bfb30e13d457d1ab093b7e2fe17b6c2435b979c078ab596d58608d4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.118737Z digest=sha256:ecb1482df7ea22346cb1731432e9f65d61305465d32cd296037c30420e28bd08

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=sha256:6fbd9c9e073a189bdec8d0db825df4699ab5556faaf93b225903608f98e34f6f

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:a62c431c30d11481b3ec7ff79afbaa9159d33b6f90a04fdd74623c848c276c59

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.133742Z digest=sha256:37e83a00fa996b38d12790de84960b34a24cbaa34655b2a2bd530f758504a458

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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no resolver link, observed 2026-08-15T23:59:00.138079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:00.138079Z digest=sha256:ed6175a289e7b042cdd21b0cb5b53f2aa6f615ff5556745e843127958c72d8e6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:59:00.142458Z digest=sha256:875dc1d4dc9dfcda737d035c02e4aad86eb2142871eecc6a8ea36bfb1d9b042e

Pith citing papers

No inbound Pith citation observations are available.