Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:12:36.547886Z

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 2026-08-17T06:30:58.91139+00:00.

Observation 96f994bf-be4c-460e-a86d-9ec5ce285401 · inbound

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models cites this paper.

LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-09T00:12:36.547886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.

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.

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.

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 2026-08-17T06:30:58.91139+00:00.