Paper Citation Record · LEDGER

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection

As of 20 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2412.12620.

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

pith.paper-citation-record.v1
2412.12620 v2

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:57:58.582914Z

measured 11 of 11 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 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

11 of 11 outbound references displayed

verified exact0
verified fuzzy9
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc9d527a-7553-4a47-af5e-58f7bdd2a3e9 · outbound

This paper cites Tri-feature-based detection of floating small targets in sea clutter,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Tri-feature-based detection of floating small targets in sea clutter,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.782564Z

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 4967e253-d937-4e78-8899-af2ea4d5ee05 · outbound

This paper cites Sea-surface floating small target detection by one-class classifier in time-frequency feature space,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Sea-surface floating small target detection by one-class classifier in time-frequency feature space,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.764933Z

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 489f7905-ee8a-44d0-8dee-4d52a7971ed8 · outbound

This paper cites Maritime radar target detection in sea clutter based on cnn with dual-perspective attention,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Maritime radar target detection in sea clutter based on cnn with dual-perspective attention,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.746311Z

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 801881d9-073c-41ae-a3c0-7a4ed3989f32 · outbound

This paper cites A pointnet-based cfar detection method for radar target detection in sea clutter,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection A pointnet-based cfar detection method for radar target detection in sea clutter,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.728440Z

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 be3d9bcb-3c42-4639-9f71-2dd415c47ba6 · outbound

This paper cites Radar target detection with multi-task learning in heterogeneous environment,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Radar target detection with multi-task learning in heterogeneous environment,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.712829Z

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 1da86ca3-a917-446e-bd13-5e9b3dd140bd · outbound

This paper cites Target detection in sea clutter via contrastive learning,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Target detection in sea clutter via contrastive learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.696740Z

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 f043610a-ee95-48af-ad4e-9b9539f2384d · outbound

This paper cites Maritime radar target detection model self-evolution based on semi-supervised learning,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Maritime radar target detection model self-evolution based on semi-supervised learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.678993Z

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 9cb7b4b5-0c0e-4d97-878e-808ef3b06fbf · outbound

This paper cites Deep residual learning for image recognition,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Deep residual learning for image recognition,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:57:58.568042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f708a7-345f-40bf-a77f-167d05fe19bb · outbound

This paper cites The mcmaster ipix radar sea clutter database,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection The mcmaster ipix radar sea clutter database,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.652275Z

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 ffa4509f-f3f9-4c92-a2b8-6f87d49d6009 · outbound

This paper cites False-alarm-controllable radar detection for marine target based on multi features fusion via cnns,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection False-alarm-controllable radar detection for marine target based on multi features fusion via cnns,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:57:58.633974Z

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 1625698e-bba7-44cd-9dad-c78d03a245b0 · outbound

This paper cites Supervised contrastive learn- ing,.

Multi-Domain Features Guided Supervised Contrastive Learning for Radar Target Detection Supervised contrastive learn- ing,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:57:58.582914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.