{"as_of":"2026-08-08T01:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fb4ad07b734ed5c94615b96fa31545a64895dd73119c56411716862e360759eb","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:53:17.684335Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-08T00:04:22.575745Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01044","snapshot_observed_at":"2026-08-07T10:53:17.684335Z","title":"Auffusion: Leveraging the power of diffusion and large language models for text- to-audio generation.arXiv preprint arXiv:2401.01044,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.04214","last_updated":"2025-06-04T17:57:26Z","snapshot_observed_at":"2026-08-07T10:43:07.384061Z","submitted_at":"2025-06-04T17:57:26Z","title":"Sounding that Object: Interactive Object-Aware Image to Audio Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T10:53:17.684335Z"},"links":{"cited_paper":"/paper/2401.01044","citing_paper":"/paper/2506.04214"},"observation_digest":"sha256:f77ccebddad810cc0b3f55ba1d135c99c914f0f3a61a5b1f2cb7a2def5ef8ced","observation_id":"428750bf-740f-4dbf-b041-10c95fbbbbac","resolution":{"observed_at":"2026-08-07T10:53:17.684335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01044","snapshot_observed_at":"2026-08-06T17:21:31.516295Z","title":"Auffusion: Lever- aging the Power of Diffusion and Large Language Models for Text-to-Audio Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.11096","last_updated":"2025-07-15T08:44:11Z","snapshot_observed_at":"2026-08-06T17:14:11.721392Z","submitted_at":"2025-07-15T08:44:11Z","title":"EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T17:21:31.516295Z"},"links":{"cited_paper":"/paper/2401.01044","citing_paper":"/paper/2507.11096"},"observation_digest":"sha256:460de44db2a1ec9e9795e86f83af474beda78785440ded5164f9a71f3939b5d1","observation_id":"cb1355dd-1f1a-4735-9bf3-4289fa82414b","resolution":{"observed_at":"2026-08-06T17:21:31.516295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","version":1},"cited_work":{"arxiv_id":"2401.01044","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01044","snapshot_observed_at":"2026-07-08T00:04:22.575745Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","venue":"cs.SD","work_id":"836c09ed-6fe9-47ec-817a-2ac2727c5780","year":2024},"citing_paper":{"arxiv_id":"2604.14707","last_updated":"2026-04-16T07:15:37Z","snapshot_observed_at":"2026-07-06T23:02:27.141640Z","submitted_at":"2026-04-16T07:15:37Z","title":"Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-10T09:52:35.741400Z"},"links":{"cited_paper":"/paper/2401.01044","citing_paper":"/paper/2604.14707"},"observation_digest":"sha256:892b1d8122ee7c32c4d4123784aeadd71cfce4c93b048d20b45b535fa5124ac3","observation_id":"ddc9a672-123e-4917-9489-ec58d508c46f","resolution":{"observed_at":"2026-05-10T10:04:06.932994Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","version":1},"cited_work":{"arxiv_id":"2401.01044","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.01044","snapshot_observed_at":"2026-07-08T00:04:22.575745Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","venue":"cs.SD","work_id":"836c09ed-6fe9-47ec-817a-2ac2727c5780","year":2024},"citing_paper":{"arxiv_id":"2607.05196","last_updated":"2026-07-07T15:36:48Z","snapshot_observed_at":"2026-07-11T07:46:45.098798Z","submitted_at":"2026-07-06T15:11:57Z","title":"Unified Audio Intelligence Without Regressing on Text Intelligence","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-07T23:59:38.702609Z"},"links":{"cited_paper":"/paper/2401.01044","citing_paper":"/paper/2607.05196"},"observation_digest":"sha256:86602aa80192dda24fa87b821f849baeae071c62478868389cfa6a537cbfa4ef","observation_id":"86a32ed7-4022-4a8f-a895-2171f370fe3c","resolution":{"observed_at":"2026-07-08T00:04:22.577119Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01044","snapshot_observed_at":"2026-07-11T07:46:49.059192Z","title":"arXiv preprint arXiv:2401.01044 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05196","last_updated":"2026-07-07T15:36:48Z","snapshot_observed_at":"2026-07-11T07:46:45.098798Z","submitted_at":"2026-07-06T15:11:57Z","title":"Unified Audio Intelligence Without Regressing on Text Intelligence","version":2},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-07-11T07:46:49.059192Z"},"links":{"cited_paper":"/paper/2401.01044","citing_paper":"/paper/2607.05196"},"observation_digest":"sha256:8c1a526be03280d8c2d150812a60ac17ca35e7d80590f6e790f7889287d74e40","observation_id":"693ade7f-01e6-4b8f-a1ce-ae56bb9df6df","resolution":{"observed_at":"2026-07-11T07:46:49.059192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.01044/citation-record","integrity":"/paper/2401.01044/integrity","json":"/paper/2401.01044/citation-record.json","paper":"/paper/2401.01044"},"outbound":[],"paper":{"arxiv_id":"2401.01044","last_updated":"2024-01-02T05:42:14Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-05T01:13:48.815001Z","submitted_at":"2024-01-02T05:42:14Z","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.01044."}