{"as_of":"2026-08-19T18:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2ece8b6d964651922206abb44d04805a1a012c9d753a7ccafc37678d57c2b180","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:59:00.142458Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.03244/citation-record","integrity":"/paper/2505.03244/integrity","json":"/paper/2505.03244/citation-record.json","paper":"/paper/2505.03244"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.026645Z","title":"Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.026645Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:e2542b79fcb221826b10f7362283407cfd9d6cc50da7331d6b3fed218c36db24","observation_id":"51851aae-6371-4dea-881f-c8ca8907e276","resolution":{"observed_at":"2026-08-15T23:59:00.026645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.504288Z","title":"Harnessing the power of llms in practice: A survey on chatgpt and beyond","venue":null,"work_id":"4f34e78a-4e70-49f9-af2b-cce921ba16c1","year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.032909Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:139a9c65970ed011e492397e6636fa9ae16173808bc56a2727a9626e58458efb","observation_id":"1a9935d9-140c-4205-8ad5-6d67b1eb25d7","resolution":{"observed_at":"2026-08-15T23:59:00.509067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.06103","last_updated":"2021-06-11T01:07:12Z","snapshot_observed_at":"2026-08-17T22:21:17.163186Z","submitted_at":"2021-06-11T01:07:12Z","title":"Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.06103","snapshot_observed_at":"2026-08-15T23:59:00.038223Z","title":"Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.038223Z"},"links":{"cited_paper":"/paper/2106.06103","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:6939f77294a83a619385aeb134d30c5067308f3045d4d2d9d02feb9ce27398a5","observation_id":"41982893-fb79-4be4-a713-97fa2a489b68","resolution":{"observed_at":"2026-08-15T23:59:00.038223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12995","last_updated":"2023-04-25T17:05:38Z","snapshot_observed_at":"2026-08-19T00:21:30.853597Z","submitted_at":"2023-04-25T17:05:38Z","title":"AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12995","snapshot_observed_at":"2026-08-15T23:59:00.043771Z","title":"Audiogpt: Understanding and generating speech, music, sound, and talking head","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.043771Z"},"links":{"cited_paper":"/paper/2304.12995","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:5c352e994a4f7d83f50c22b0d1c7a4a0fa1fceb1d7bd4b9b143bdb50067b9bf3","observation_id":"bf3f5bd6-13a2-47eb-a938-80e5c797c654","resolution":{"observed_at":"2026-08-15T23:59:00.043771Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03335","last_updated":"2025-01-14T11:59:03Z","snapshot_observed_at":"2026-08-18T20:36:32.106943Z","submitted_at":"2024-10-04T11:40:53Z","title":"Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03335","snapshot_observed_at":"2026-08-15T23:59:00.049332Z","title":"Audio-agent: Leveraging llms for audio generation, editing and composition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.049332Z"},"links":{"cited_paper":"/paper/2410.03335","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:314731263328f5d1c46adadee1e4f8796914d99e50a6be8d1bdaf7c0038883cd","observation_id":"359944dc-5779-4558-a879-c3fa417ca82c","resolution":{"observed_at":"2026-08-15T23:59:00.049332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-15T23:59:00.055750Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.055750Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:ec402ed8b9d45187db2405a1ffa0286f11fa81c53c39eb710c88814d0a615281","observation_id":"75b85004-eed6-403e-bb17-3c0dc084e2c2","resolution":{"observed_at":"2026-08-15T23:59:00.055750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.490185Z","title":"Simple and controllable music generation","venue":null,"work_id":"594b7dcc-e403-4613-a822-da42922b66d3","year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.062312Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:89b9df8c3a09c6ca472beddccc6e8148432b8a8ccfa5ebcfc93398b5c03f6181","observation_id":"bc1c608f-7f4e-43ad-b204-e2c43854617d","resolution":{"observed_at":"2026-08-15T23:59:00.494615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.475406Z","title":"Musenet, April 2019","venue":null,"work_id":"f113a4c7-8b4b-46f7-b43c-fef9ffebcd4d","year":2019},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.067449Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:2df49c876c2887dd2a2845d02ff9f06f55b968efddede0023db94012743893a4","observation_id":"40c1dc0e-3032-4ca8-baca-9ebce69375ee","resolution":{"observed_at":"2026-08-15T23:59:00.479721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.460608Z","title":"Mandic, Wenwu Wang, and Mark D","venue":null,"work_id":"469d9868-813c-4410-90e0-ec0706f99b0d","year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.072012Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:2e4201cc42e2031472abf1cf2d3e4172b12c36fc3a15141bb78c618a1852ef6d","observation_id":"e3b47908-5623-4686-b3cd-ef1a9b7ac307","resolution":{"observed_at":"2026-08-15T23:59:00.465147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14358","last_updated":"2024-07-31T16:22:42Z","snapshot_observed_at":"2026-08-16T13:32:41.679971Z","submitted_at":"2024-07-19T14:40:23Z","title":"Stable Audio Open","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14358","snapshot_observed_at":"2026-08-15T23:59:00.076519Z","title":"Stable audio open","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.076519Z"},"links":{"cited_paper":"/paper/2407.14358","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:9d433cc87a090c113ff509807345990ce58633915eaa6795e366ac2f12ca28cf","observation_id":"e4ab095f-5c0d-40b5-b7ad-3f4e4f6d4e75","resolution":{"observed_at":"2026-08-15T23:59:00.076519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.445399Z","title":"Gpt-4 technical report","venue":null,"work_id":"853e5ba5-cf3b-440a-a1bf-d2fb3d7a4218","year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.081212Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:ad2a54c973ee2c029304f5c1b2b144422b66928833023c569bd48c7e5c067750","observation_id":"4173c9ee-9dae-41cc-a49e-39dabcd189be","resolution":{"observed_at":"2026-08-15T23:59:00.450294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-15T23:59:00.085960Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.085960Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:11c2ac1fc5ddce0a870563720c9e13a6996e09147e46ac66e2c8b88ea8eedaef","observation_id":"83e6ea8c-bae6-4334-a739-a68daa5e15f4","resolution":{"observed_at":"2026-08-15T23:59:00.085960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-15T23:59:00.090791Z","title":"Evaluating large language models trained on code","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.090791Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:ca4db79343cff7ef56844b344bb59f4cb28cf18af7ec05446fc51bf858fbbce0","observation_id":"7fd385b5-27dc-4af6-8463-c98b1e13d34d","resolution":{"observed_at":"2026-08-15T23:59:00.090791Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.430582Z","title":"Introducing Microsoft 365 Copilot — your copilot for work, 2023","venue":null,"work_id":"590bd9c0-541d-4058-b3c3-8e05562db5a1","year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.095710Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:45d9ee1a820690fdbf4fe936406da113289a321bb67cc63d237b5b9618ff84a9","observation_id":"436e85f5-d006-499e-8390-3f91f5d166e5","resolution":{"observed_at":"2026-08-15T23:59:00.434823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-15T23:59:00.099935Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.099935Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:6c6dac8f06055120aa7dd612adac77f323f66610e56e1d7364625a0285712d5b","observation_id":"4cbad432-fb44-47ff-85c2-35d4e7f5a731","resolution":{"observed_at":"2026-08-15T23:59:00.099935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-08-13T07:04:41.220509Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-15T23:59:00.104439Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.104439Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:d36a112f4a62dbd653566f9ea568fd3168284088cf93ebc61472126bbaaa9bb3","observation_id":"79f80e9d-2ade-417b-ab68-fe0a648ff09d","resolution":{"observed_at":"2026-08-15T23:59:00.104439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.415241Z","title":"International Organization for Standardization, 1996","venue":null,"work_id":"f3d3ef62-c517-4b82-b88d-22bb61a2a3f6","year":1996},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.109085Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:051a4a5ad104cd7fb953298261ad4be35cf34a4fa7bb01d89c04e787b405ffea","observation_id":"a064dce2-0052-45aa-b9ce-c3ccb7320265","resolution":{"observed_at":"2026-08-15T23:59:00.420121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.399808Z","title":"Dynamic Programming","venue":null,"work_id":"b3b2dc78-da38-49b9-b0ed-4aae7825699d","year":1957},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.113363Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:26f154c06bfb30e13d457d1ab093b7e2fe17b6c2435b979c078ab596d58608d4","observation_id":"9c5f24e5-dd80-4928-9efe-3f0d0c10d210","resolution":{"observed_at":"2026-08-15T23:59:00.404845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.384073Z","title":"Plumbley, Huy Phan, and Emmanouil Benetos","venue":null,"work_id":"df624648-1428-43b1-b16c-aeacb7a43d93","year":2024},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.118737Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:ecb1482df7ea22346cb1731432e9f65d61305465d32cd296037c30420e28bd08","observation_id":"fb35e11d-7f53-4de5-bd67-5465e8eb6e61","resolution":{"observed_at":"2026-08-15T23:59:00.388699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.14335","last_updated":"2023-11-26T14:12:37Z","snapshot_observed_at":"2026-08-16T15:13:02.805936Z","submitted_at":"2023-07-26T17:54:04Z","title":"WavJourney: Compositional Audio Creation with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.14335","snapshot_observed_at":"2026-08-15T23:59:00.123327Z","title":"Plumbley, and Wenwu Wang","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.123327Z"},"links":{"cited_paper":"/paper/2307.14335","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:6fbd9c9e073a189bdec8d0db825df4699ab5556faaf93b225903608f98e34f6f","observation_id":"0e4f9c83-0e42-40ab-aab9-162234e46b5f","resolution":{"observed_at":"2026-08-15T23:59:00.123327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.08466","last_updated":"2019-01-17T16:12:43Z","snapshot_observed_at":"2026-08-15T08:25:11.276003Z","submitted_at":"2018-12-20T10:28:00Z","title":"Fr\\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.08466","snapshot_observed_at":"2026-08-15T23:59:00.128331Z","title":"Fréchet audio distance: A metric for evaluating music enhancement algorithms","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.128331Z"},"links":{"cited_paper":"/paper/1812.08466","citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:a62c431c30d11481b3ec7ff79afbaa9159d33b6f90a04fdd74623c848c276c59","observation_id":"4506d186-61ff-4305-bdca-d381f4a9fb8d","resolution":{"observed_at":"2026-08-15T23:59:00.128331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.368998Z","title":"Iqbal, Y","venue":null,"work_id":"00c08771-638d-4eb2-aef4-25a379fcc2e6","year":2021},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.133742Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:37e83a00fa996b38d12790de84960b34a24cbaa34655b2a2bd530f758504a458","observation_id":"5faa37fa-6b7f-4af1-a65d-a800a36973e8","resolution":{"observed_at":"2026-08-15T23:59:00.373613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.138079Z","title":"Clap: Learning audio concepts from natural language supervision, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.138079Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:ed6175a289e7b042cdd21b0cb5b53f2aa6f615ff5556745e843127958c72d8e6","observation_id":"95fef481-f318-46c2-8bc7-87ab8ec4cd95","resolution":{"observed_at":"2026-08-15T23:59:00.138079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:59:00.341313Z","title":"A reference-free metric for language-queried audio source separation using contrastive language- audio pretraining","venue":null,"work_id":"03d6f7bc-f032-4b20-af30-301075d6fc8f","year":2024},"citing_paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:00.142458Z"},"links":{"citing_paper":"/paper/2505.03244"},"observation_digest":"sha256:875dc1d4dc9dfcda737d035c02e4aad86eb2142871eecc6a8ea36bfb1d9b042e","observation_id":"0669e23c-a985-4a51-9615-ec4fc9307f4b","resolution":{"observed_at":"2026-08-15T23:59:00.348173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.03244","last_updated":"2025-05-13T06:35:48Z","latest_version":2,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-16T07:02:56.514367Z","submitted_at":"2025-05-06T07:15:04Z","title":"SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":24},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"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."}