Paper Citation Record · LEDGER

Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.02773.

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

pith.paper-citation-record.v1
2309.02773 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:46:57.953905Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:37:08.796366Z

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 dd2d4e4a-68cc-486e-b761-37e676b49b1c · inbound

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models cites this paper.

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:46:57.953905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309c8087-76f6-409b-b9a7-1eeabbd38cb1 · inbound

ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation cites this paper.

ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:47.810899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286cd101-b951-492d-a5f8-fc485d5b8f97 · inbound

FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation cites this paper.

FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:37:08.798157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 747105d3-042f-44c8-82d9-0fb96d883f24 · inbound

Interpretable Diffusion Models with B-cos Networks cites this paper.

Interpretable Diffusion Models with B-cos Networks Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T20:07:04.763938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3de6ec26-b7fb-41ef-9c92-b1afb1298272 · 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 Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:52:33.421637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183e5063-45fe-4159-9850-acb2f531f086 · inbound

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision cites this paper.

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T13:12:06.350579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6947e944-8e1f-43aa-b105-b0192ced9b73 · inbound

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images cites this paper.

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:45.610427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9393e956-3c92-4974-9e15-d1b2529c9e1f · inbound

Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection cites this paper.

Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:29.367775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation afbf9825-8845-4e3c-970f-752c6692740f · inbound

DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery cites this paper.

DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:42.543778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f92150b4-9f1a-49f7-8cee-7649edff5ed8 · inbound

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution cites this paper.

Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter

Reference 259

Resolution: unresolved; no resolver link, observed 2026-08-01T22:34:56.870892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.