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Paper Citation Record · LEDGER

Unleashing Text-to-Image Diffusion Models for Visual Perception

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.02153.

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

pith.paper-citation-record.v1
2303.02153 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:31:01.959283Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:44:07.592512Z

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 0a3e5fbf-5e3d-485e-92b1-4bd17bd1b5d4 · inbound

Video Depth without Video Models cites this paper.

Video Depth without Video Models Unleashing Text-to-Image Diffusion Models for Visual Perception

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-12T10:31:01.959283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:31:01.959283Z digest=sha256:93941430987b4bb76ed6c84f2e4be584ce6ac1dc6ddfce1094d5e4b6adc03049

Observation 6159d87c-9ae0-4e2e-a59f-bcd54cc4ee38 · inbound

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques cites this paper.

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques Unleashing Text-to-Image Diffusion Models for Visual Perception

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T17:28:31.742188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:28:31.742188Z digest=sha256:7a5327bf453b81d42cb4bfae571beee7f2509067b8f394d2f6c92e639e15126f

Observation ee830df3-fca5-4262-8319-979a20894047 · inbound

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion cites this paper.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unleashing Text-to-Image Diffusion Models for Visual Perception

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T13:14:47.976666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:14:47.976666Z digest=sha256:2f4286b76d5dfab083c7c592f13c2908e1222649eadc448986865ae66df1ec88

Observation 140a3005-03f8-4585-9448-dbf1ded9ba36 · inbound

Vision Generalist Model: A Survey cites this paper.

Vision Generalist Model: A Survey Unleashing Text-to-Image Diffusion Models for Visual Perception

Reference 208

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:44:07.649723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T04:44:05.736382Z digest=sha256:4e80f8ad9dae3892494866bcc67e3c350fde6fbfa59b36ce00c6f5b1a1231930