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Paper Citation Record · LEDGER

Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.01044.

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

pith.paper-citation-record.v1
2401.01044 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:17.684335Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T00:04:22.575745Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 428750bf-740f-4dbf-b041-10c95fbbbbac · inbound

Sounding that Object: Interactive Object-Aware Image to Audio Generation cites this paper.

Sounding that Object: Interactive Object-Aware Image to Audio Generation Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:53:17.684335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:53:17.684335Z digest=sha256:f77ccebddad810cc0b3f55ba1d135c99c914f0f3a61a5b1f2cb7a2def5ef8ced

Observation cb1355dd-1f1a-4735-9bf3-4289fa82414b · inbound

EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing cites this paper.

EditGen: Harnessing Cross-Attention Control for Instruction-Based Auto-Regressive Audio Editing Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:31.516295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:31.516295Z digest=sha256:460de44db2a1ec9e9795e86f83af474beda78785440ded5164f9a71f3939b5d1

Observation ddc9a672-123e-4917-9489-ec58d508c46f · inbound

Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery cites this paper.

Geo2Sound: A Scalable Geo-Aligned Framework for Soundscape Generation from Satellite Imagery Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:04:06.932994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T09:52:35.741400Z digest=sha256:892b1d8122ee7c32c4d4123784aeadd71cfce4c93b048d20b45b535fa5124ac3

Observation 86a32ed7-4022-4a8f-a895-2171f370fe3c · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 85

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T00:04:22.577119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-07T23:59:38.702609Z digest=sha256:86602aa80192dda24fa87b821f849baeae071c62478868389cfa6a537cbfa4ef

Observation 693ade7f-01e6-4b8f-a1ce-ae56bb9df6df · inbound

Unified Audio Intelligence Without Regressing on Text Intelligence cites this paper.

Unified Audio Intelligence Without Regressing on Text Intelligence Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-07-11T07:46:49.059192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T07:46:49.059192Z digest=sha256:8c1a526be03280d8c2d150812a60ac17ca35e7d80590f6e790f7889287d74e40