Paper Citation Record · LEDGER

SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.16812.

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

pith.paper-citation-record.v1
2309.16812 v1

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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:00:36.299552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:57:07.926439Z

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 5b75635e-de78-4542-b17d-08718a43432d · inbound

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review cites this paper.

Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T21:00:36.299552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ebc4732-f08e-4a89-ae2d-3f926aaff550 · inbound

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models cites this paper.

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:19.889310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d76dd92-4d6a-4dbe-88f2-8e314a41bc3b · inbound

ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing cites this paper.

ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:57:07.928873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb714a6d-2378-49de-971b-e385f5181d18 · inbound

Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation cites this paper.

Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:30:44.306129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39f5cf3f-bde7-44d5-bcfe-9ea845fa0660 · inbound

D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog cites this paper.

D2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:18:31.321306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b9330fbc-79a7-40d0-b565-1faee14359c3 · inbound

AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors cites this paper.

AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:03:29.203824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.