Paper Citation Record · LEDGER

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.13307.

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

pith.paper-citation-record.v1
2506.13307 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:09:57.394699Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact5
verified fuzzy4
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3835923-1c0e-4986-9edd-19e1dffb329a · outbound

This paper cites write newline.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.225149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfde6351-34a9-4eb3-ab84-fb11d871cce0 · outbound

This paper cites Agrawal and R.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Agrawal and R

Reference 2

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T20:09:58.097785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61506a5e-d570-4e26-be3e-86f60fd8f707 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T20:09:58.019819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6117c8c-db1d-4d04-b414-ecb160525888 · outbound

This paper cites Baqu \'e , P.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Baqu \'e , P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:09:58.171439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e19da3a-6332-4df2-8b82-6c765caacb72 · outbound

This paper cites COCHIN, P.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images COCHIN, P

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:09:58.159969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2021a914-6876-4dc7-88da-a50841787c60 · outbound

This paper cites Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:09:57.934752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb023a90-f066-48e2-bef4-bbcde2224648 · outbound

This paper cites Debuysère, N.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Debuysère, N

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:09:58.147577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f5102b9-dfd7-446b-8c9b-f5accd801edb · outbound

This paper cites From Spaceborne to Airborne: SAR Image Synthesis Using Foundation Models for Multi-Scale Adaptation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images From Spaceborne to Airborne: SAR Image Synthesis Using Foundation Models for Multi-Scale Adaptation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:09:57.918031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 31e29b4d-3263-4720-a89a-81d3a0f11811 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images QLoRA: Efficient Finetuning of Quantized LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.261683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 506f6068-faa7-4bb6-ab4c-20e7a9c5920b · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.265895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83821527-54ff-46e9-9fa3-469f09fa20f5 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-15T20:09:57.471400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b22706e-f698-46d7-bc55-7e228cda3ad9 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.273848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20860931-52c2-4bc2-8e9c-c1db09c62844 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images CogVLM2: Visual Language Models for Image and Video Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.277462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09093a8-7302-4ba5-ad27-30ff90243e0c · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.281347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d2ab31-97c4-4a7b-b862-c2ad2d1b16ad · outbound

This paper cites Visual Prompt Tuning.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Visual Prompt Tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.285861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a799646d-d10e-4391-9ebf-e32e42cf281b · outbound

This paper cites DiffusionSat: A Generative Foundation Model for Satellite Imagery.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images DiffusionSat: A Generative Foundation Model for Satellite Imagery

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.290054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f44d74db-e5bb-4cc3-bde6-01be2564fe98 · outbound

This paper cites Segment Anything.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Segment Anything

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.294221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 559bc7c1-2340-4685-850b-f09ac96b62f5 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:09:58.134274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f8d0480-dbd7-4a4e-8da0-88b783c91126 · outbound

This paper cites Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.303149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a11b57dc-a729-46e8-978a-c939cbd5f252 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 20

Resolution: verified exact; doi, observed 2026-08-15T20:09:57.458645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c505b194-e99f-4764-b45b-f2a65179e0ee · outbound

This paper cites SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.312427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0245e37f-b214-41ef-a92c-26fab80227ca · outbound

This paper cites HSIGene: A Foundation Model For Hyperspectral Image Generation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images HSIGene: A Foundation Model For Hyperspectral Image Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.316909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8228fec-7fdb-47b7-9eda-81c0eff0198a · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.321052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26625b4a-cd26-4826-9a2f-7cd5b7ae82db · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images High-Resolution Image Synthesis with Latent Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.325588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5dad3f-76fa-4798-9c00-bd1ca9795826 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.329667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddc7c68b-664f-4fe0-a09b-9871d634a1f3 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.334027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86735f70-2b0e-4ab8-9aa3-689770ce8e40 · outbound

This paper cites CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.341519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74165410-f868-429a-be58-b1c732a0b539 · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.345833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df688990-ff19-4603-bef3-024dab2a9b3b · outbound

This paper cites Trouve, N.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Trouve, N

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:09:58.120830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82c70969-4956-404b-92fc-1ab554da3d1e · outbound

This paper cites BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.353328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b279bb-067c-4183-8628-4b7967dd3580 · outbound

This paper cites Woollard, D.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Woollard, D

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.356967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16d21225-15ff-44b4-9bf4-ca169c8867f6 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.361026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20adc16-54f4-4dc4-b933-d3a26c5cb17e · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.364922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29f2929-4dcd-4fd3-9091-bc17707218f9 · outbound

This paper cites Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.369090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b38c63c-1205-4167-91a5-6e690eba2d4f · outbound

This paper cites MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.373578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2743ce5-0f8d-41ee-bd0e-0a140addd8b0 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Adding Conditional Control to Text-to-Image Diffusion Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.378225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6704cdbe-d05f-4753-9898-dace29798349 · outbound

This paper cites Zhang, T.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Zhang, T

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.382265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11319a1d-dd37-4a48-a157-69cf87f377e1 · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.385830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b9feba1-a672-429c-890e-52b9177caeef · outbound

This paper cites an unresolved cited work.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images Unresolved cited work

Reference 39

Resolution: verified exact; doi, observed 2026-08-15T20:09:57.430862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2558ae43-1a0c-4aae-a533-b2829f4833c7 · outbound

This paper cites write newline.

Quantitative Comparison of Fine-Tuning Techniques for Pretrained Latent Diffusion Models in the Generation of Unseen SAR Images write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:09:57.394699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.