Paper Citation Record · LEDGER

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.18260.

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

pith.paper-citation-record.v1
2507.18260 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:21.000214Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

15 of 15 outbound references displayed

verified exact2
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 182aed0f-05b6-4c72-83d5-5b61d84379e9 · outbound

This paper cites an unresolved cited work.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:43:21.391959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 937f12b0-ae8d-43cc-891c-9daa7f43beb6 · outbound

This paper cites Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-Resolution

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:43:21.117724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ae9419f-83d5-4aa8-8193-0a419fe86ec2 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection mixup: Beyond Empirical Risk Minimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.995254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dc6f1c9-462c-40fa-8720-063a0bfa4800 · outbound

This paper cites Information Fusion 97, 1–13.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Information Fusion 97, 1–13

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T14:43:21.025233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d076f70-0be0-4a2a-b57b-0f4289b6355a · outbound

This paper cites Gao, C., Meng, D., Yang, Y., Wang, Y., Zhou, X., Hauptmann, A.G.,.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Gao, C., Meng, D., Yang, Y., Wang, Y., Zhou, X., Hauptmann, A.G.,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T14:43:21.363638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6fe1a67d-d610-4d30-8a7d-94528441bd1d · outbound

This paper cites an unresolved cited work.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Unresolved cited work

Reference 2009

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:43:21.416847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 106b0fbc-e4d0-4dbb-8431-a2816894f8fc · outbound

This paper cites an unresolved cited work.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Unresolved cited work

Reference 2010

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:43:21.404107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a43bfeda-2625-4c6f-891a-7640b88dde33 · outbound

This paper cites IEEE Transactions on Image Processing 22, 4996–5009.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection IEEE Transactions on Image Processing 22, 4996–5009

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.958701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf2c042-24a8-497f-bd41-aa86df268694 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Improved Regularization of Convolutional Neural Networks with Cutout

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.951407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad1413f-fd15-4ec6-9bf7-262f234ba0b8 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.942402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71483b10-3c67-4d25-8a6b-548a489cc071 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 59, 5966–5978.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection IEEE Transactions on Geoscience and Remote Sensing 59, 5966–5978

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.961633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7361444d-557d-44ea-871d-eb73a447ee2c · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.967533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0214ece2-a779-4ff6-af5a-f057be927ff6 · outbound

This paper cites Local-Global Temporal Difference Learning for Satellite Video Super-Resolution.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:43:21.133658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6cbfeb1-cfbd-4a33-968b-a46f5772d252 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing 62, 1–15.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection IEEE Transactions on Geoscience and Remote Sensing 62, 1–15

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.991036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6384d5a1-60dd-4b05-85f7-a4bb645e8d9e · outbound

This paper cites Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning.

Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection Rethinking Generalizable Infrared Small Target Detection: A Real-scene Benchmark and Cross-view Representation Learning

Reference 2025

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T14:43:21.148877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.