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Paper Citation Record · LEDGER

Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.04803.

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

pith.paper-citation-record.v1
2303.04803 v4

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:36.136857Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:04.449993Z

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 2b4342dc-fcd0-4e55-8ede-5528c0cb8e3d · inbound

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks cites this paper.

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:20:15.851343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T06:20:15.656356Z digest=sha256:435017956025f5a76095f98afd6754c56f77a1f04a9138aa8f481a1df267e3cc

Observation 321af2e2-d4af-4357-8c72-300c2fbff899 · inbound

MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models cites this paper.

MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:07:18.093435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T13:06:26.488788Z digest=sha256:4e08b89d806bf1e3f4ead877db86caa7c9e1f76b03fb3e4a0f5d7478f26f31d7

Observation 396ca2fd-a5fa-4ad7-9dc9-4f33babf60e7 · inbound

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor cites this paper.

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:36.136857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:36.136857Z digest=sha256:2a9d2f834304326d846b0ca03db8df50e336849a45bf9b2ef4bce4695c3f8194

Observation 6f18e45c-fa01-4567-ac11-3ef90e889f5b · inbound

Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting cites this paper.

Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T23:31:48.501439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:31:48.501439Z digest=sha256:9adc173d13fcdd29c7bec7399753c84961d9b146ba9c938bd065caa9f80bdb8a

Observation fdb9161a-0b6d-46ee-8cf1-39aa6d6d016e · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.451665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:52:40.429412Z digest=sha256:f333e31bb466e12d7e95ee5894f14c7e83822fb4804dc0e3ffc12a3d5a833f66