Paper Citation Record · LEDGER

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.12565.

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

pith.paper-citation-record.v1
2412.12565 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:00:31.887656Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact2
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66ae4dcd-c23d-4fc9-910b-cf8e5e9e18a6 · outbound

This paper cites Sar-to-eo image translation with multi- conditional adversarial networks.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Sar-to-eo image translation with multi- conditional adversarial networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:32.034946Z

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 bacbb938-b608-457e-b2f0-baa2e9160c7a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:31.846130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3311e31-f1ed-4f08-94ca-339f9df5c27d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Distilling the Knowledge in a Neural Network

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:31.849575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d7b80f-3f69-43e9-a373-11f25801bff2 · outbound

This paper cites Clean collector algorithm for satel- lite image pre-processing of sar-to-eo translation.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Clean collector algorithm for satel- lite image pre-processing of sar-to-eo translation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:32.026204Z

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 a9cec00b-bf9c-4c87-81ac-3b5720d8dffd · outbound

This paper cites Privacy-safe action recognition via cross-modality distillation.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Privacy-safe action recognition via cross-modality distillation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:32.018695Z

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 8799ad36-fec2-4a3e-a698-849b09c0c72b · outbound

This paper cites Multi-modal aerial view image challenge: Sar classification.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Multi-modal aerial view image challenge: Sar classification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:32.011213Z

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 9c63e9b1-01f8-4acd-9a9f-382822067718 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution DINOv2: Learning Robust Visual Features without Supervision

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:31.863439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31c2010a-e89b-4937-b0ca-9aa3709d5410 · outbound

This paper cites Automatic target recognition (atr) from sar imaginary by using machine learning techniques.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Automatic target recognition (atr) from sar imaginary by using machine learning techniques

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:32.004113Z

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 92a15d32-f052-46dc-b404-79374e4371a2 · outbound

This paper cites Deep mul- timodal learning: A survey on recent advances and trends.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Deep mul- timodal learning: A survey on recent advances and trends

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.995591Z

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 98c56ad4-e995-4c0e-9bfe-b0a75dc2838b · outbound

This paper cites Distributional robustness loss for long-tail learning.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Distributional robustness loss for long-tail learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.987610Z

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 8c5371fa-d9b8-4858-a200-989184c23fcb · outbound

This paper cites Improved Flood Insights: Diffusion-Based SAR to EO Image Translation.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Improved Flood Insights: Diffusion-Based SAR to EO Image Translation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:00:31.922843Z

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 c79b4428-7e36-422c-b6c2-0659d541c0ff · outbound

This paper cites High-resolution image syn- thesis and semantic manipulation with conditional gans.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution High-resolution image syn- thesis and semantic manipulation with conditional gans

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.978611Z

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 b81bc1b5-a822-4b0f-ad8e-1b1f5b546b18 · outbound

This paper cites Sar image despeckling using refined lee filter.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Sar image despeckling using refined lee filter

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.970605Z

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 9b83ac6c-b987-45bc-884f-5592d37660d1 · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.961318Z

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 284428f4-2d82-4917-bfeb-566d8a9ad773 · outbound

This paper cites Distribution alignment: A unified frame- work for long-tail visual recognition.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution Distribution alignment: A unified frame- work for long-tail visual recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:00:31.952513Z

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 6d3c0132-ce84-45e4-b93c-f2e1525f6da8 · outbound

This paper cites CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation.

PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:00:31.912165Z

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.

Pith citing papers

No inbound Pith citation observations are available.