Pith. sign in

Paper Citation Record · LEDGER

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.21772.

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

pith.paper-citation-record.v1
2506.21772 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:50:35.842115Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

  • verified exact6
  • verified fuzzy17
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc54eb37-58d7-4347-88ec-7b8bf7a86f60 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Deep Residual Learning for Image Recognition

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:32.553234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:32.553234Z digest=sha256:420ca8f218c8eabe70292e042dcd405b5f88bd6d7fcc5386d242edab86ce6706

Observation 8074fa18-c465-4fb9-b3c6-3b4021241bf1 · outbound

This paper cites Deep Radar Detector,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Deep Radar Detector,

Reference 2

Resolution
verified exact
raw_fallback, observed 2026-08-07T04:50:37.346239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:32.618536Z digest=sha256:ac7983bd4e8e7953b32ebb14b04dda9876b62ff46b2cd50486b9c09f17ffc190

Observation a73a2b33-3c81-4992-958d-16b901a738f5 · outbound

This paper cites A Neyman-Pearson Criterion-Based Neural Network Detector for Maritime Radar,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search A Neyman-Pearson Criterion-Based Neural Network Detector for Maritime Radar,

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-07T04:50:36.948451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:32.679867Z digest=sha256:749ae87605f7ef9209ffb5c8b67503e75d3c8dc3f06a206b670e597f6e1d56d1

Observation 4dd76c7d-7625-4eb6-a10e-3ea01aac6c61 · outbound

This paper cites Loss Function Design For Training Robust Radar Detectors Using Deep Learning,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Loss Function Design For Training Robust Radar Detectors Using Deep Learning,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:41.523202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:32.765903Z digest=sha256:5069ff9788ed4f962463ec2ab74b8f5eeeb29a5b86e982ad2739b7578df6c581

Observation cc3f0d6a-8906-4dd3-a4e7-128df673f5e7 · outbound

This paper cites Deep Learning-Based UA V Detection in Pulse-Doppler Radar,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Deep Learning-Based UA V Detection in Pulse-Doppler Radar,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:41.396873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:32.833969Z digest=sha256:5d9b67c2a569f3edc3d07d8c07711da89e59e6b38faa1e76f63cd36c190401db

Observation 168cc445-3881-4405-8625-4ee16cfc33e0 · outbound

This paper cites Radar Target Detection with CNN,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Radar Target Detection with CNN,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:41.217148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:32.915934Z digest=sha256:cc17fc39e4b10bba8264d69775c23a529a5a1ec05ceca55f994db2ee006c7989

Observation 943d28a0-a237-4912-9609-937c366ec17b · outbound

This paper cites Neural Architecture Search with Reinforcement Learning.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Neural Architecture Search with Reinforcement Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:33.049981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:33.049981Z digest=sha256:3566b03044031647958d87431d55beae03796c5ee23ef4eb8f2713e67cb7be77

Observation 9b676707-80a6-41f0-9e4f-82086b5016bb · outbound

This paper cites DARTS: Differentiable Architecture Search.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search DARTS: Differentiable Architecture Search

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:33.128249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:33.128249Z digest=sha256:3177b562e66311f7cb3dc5a7a1ea5ce69fe54ca95db7755a618131ebdba867c3

Observation ebe92eb1-de16-4f1c-9767-e801da0349d2 · outbound

This paper cites Single Path One-Shot Neural Architecture Search with Uniform Sampling.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Single Path One-Shot Neural Architecture Search with Uniform Sampling

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:36.710457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:33.283085Z digest=sha256:b6093d7c63dc5773eb03c7d810f1b435a7c5030739626ad41946f4914c68fbd1

Observation 868df59b-5cf2-450e-a9f4-4b271d1413e8 · outbound

This paper cites Pruning neural networks without any data by iteratively conserving synaptic flow.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Pruning neural networks without any data by iteratively conserving synaptic flow

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:33.396828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:33.396828Z digest=sha256:84331016fed9551594ba390edc2b5c683587bae1df991e0682e5f1d759c131c0

Observation 097eb9b6-9752-4214-ba26-09b33d081714 · outbound

This paper cites Picking Winning Tickets Before Training by Preserving Gradient Flow.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Picking Winning Tickets Before Training by Preserving Gradient Flow

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:33.511032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:33.511032Z digest=sha256:007c2e6bb977d79ec3e5e0e6514eb9b3dd95775afa4bdcd4e4bbe2d4f885f1f0

Observation be30202c-4929-4374-899f-fb841d1244be · outbound

This paper cites Zero-Cost Proxies for Lightweight NAS.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Zero-Cost Proxies for Lightweight NAS

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:33.651931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:33.651931Z digest=sha256:d4099b7a80812b9e9bc6f058de1f812c00a3cbed51146e56e62d7764cd374eab

Observation 7c0a6c0a-c6aa-422c-9214-059a398ac983 · outbound

This paper cites Neural Architecture Search without Training.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Neural Architecture Search without Training

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:36.409401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:33.756413Z digest=sha256:2df9a944c9eb2077150624c06969445e2ba003d8c737c3e19cd6b81b7cc11be4

Observation 0324539e-47f4-4254-a0b8-171f30c22802 · outbound

This paper cites NASI: Label- and Data-agnostic Neural Architecture Search at Initialization.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search NASI: Label- and Data-agnostic Neural Architecture Search at Initialization

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:36.291228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:33.895882Z digest=sha256:8ad784b0465ac3db8492f7c218199ab5156f10a9400ceea6b9e7a9562a10382e

Observation b16e4df9-4182-4657-a81a-8cd8c4f60b63 · outbound

This paper cites DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflec- tions for Object Classification,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflec- tions for Object Classification,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:41.007746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.053877Z digest=sha256:f05fe8e9076d07b2be71a7ce28092c0ece994ec00aa1b75b71dd712ca0ef8466

Observation d077f6fc-ece1-46a7-b166-fb04f1e4e1ff · outbound

This paper cites Exploration d’architectures de r ´eseaux de neurones pour la segmentation s ´emantique d’images a ´eriennes,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Exploration d’architectures de r ´eseaux de neurones pour la segmentation s ´emantique d’images a ´eriennes,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:40.784176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.160494Z digest=sha256:a5a8d73cacabdc27441eb18d6d5ecb021784644f512121c4a4a23d2c745bd39c

Observation 0112db99-a1e6-4418-92c3-be3b1e0cf8af · outbound

This paper cites 3D Object Detection of Cars and Pedestrians by Deep Neural Networks from Unit-Sharing One-Shot NAS,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search 3D Object Detection of Cars and Pedestrians by Deep Neural Networks from Unit-Sharing One-Shot NAS,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:40.581854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.256197Z digest=sha256:7edd060d2c320c483cfd24e5aa9a62e871746764313ad7a231b55f116493e6f8

Observation 3da15fb5-8425-4637-9856-97b92b978bd8 · outbound

This paper cites SCM: A Searched Convolutional Metaformer for SAR Ship Classification,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search SCM: A Searched Convolutional Metaformer for SAR Ship Classification,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:40.331196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.396712Z digest=sha256:ac1ebaeb3ba5107d935315836e86e6cf270f38a9f36dc50343573a82a7747fe2

Observation 7dcd6fee-3eac-4104-b2c8-0ce3f758928d · outbound

This paper cites MCTS/UCT in solving real-life problems,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search MCTS/UCT in solving real-life problems,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:39.761114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.652098Z digest=sha256:c847f464822069a42657c80d2d42e551d4b6a72ba5793cece5308b84816af487

Observation 4cf13bbc-9ee2-4fdf-a21b-65c26a4513a0 · outbound

This paper cites Modification of UCT with Patterns in Monte-Carlo Go,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Modification of UCT with Patterns in Monte-Carlo Go,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:39.480376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.760167Z digest=sha256:c50dea4dc266fff342eabfbbf1a56a2d954a266b2ba1e4488bed5942c294b2c7

Observation 1db9f664-56d3-4d1f-9533-2161ecf43d28 · outbound

This paper cites Dec-MCTS: Decen- tralized planning for multi-robot active perception,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Dec-MCTS: Decen- tralized planning for multi-robot active perception,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:39.210857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.883131Z digest=sha256:9dc8dac12fc8e6c0d9adec3d2894b0fb8ddf7d720f289f31ede9f27112418c7a

Observation 9c777651-5f80-4a00-8d14-1aa9711a3a36 · outbound

This paper cites Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:38.946043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.986266Z digest=sha256:9a124817c74c94fbc48e6fa172e36853e87d6132e59ce900f346e9ce1676b174

Observation 7b8fea59-633d-4bea-9ead-ca4585f32999 · outbound

This paper cites DeepArchitect: Automatically Designing and Training Deep Architectures.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search DeepArchitect: Automatically Designing and Training Deep Architectures

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:35.098188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:35.098188Z digest=sha256:36c64ce1cf25c5ce5f6d718c4903ab1e333304246c9d0b3ace2ea112e285fa82

Observation f728c779-f25d-4295-b904-29f6054852d1 · outbound

This paper cites Practical Deep Learning Architecture Optimization,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Practical Deep Learning Architecture Optimization,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:35.227099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:35.227099Z digest=sha256:e91a46669d3e88c7e04fdf8ec13a972c5468b4a41631125ce1909471615440ac

Observation d94dc82c-96fa-47ff-889e-d018dc470eef · outbound

This paper cites Monte-Carlo tree search and rapid action value estimation in computer Go,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Monte-Carlo tree search and rapid action value estimation in computer Go,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:38.683220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.293538Z digest=sha256:0dba0d22b75eba269dec464d0ddd58d6c45e83f701b5ab885ae28231e144bc64

Observation 87f53121-2482-4de2-ab44-8b9081f3fa59 · outbound

This paper cites AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:50:36.054983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.362686Z digest=sha256:3ffb29fd2fffce6d6aa6cb32b29d491983924c22b0ec255a58da8b32364d7945

Observation 6e38fd7a-9de0-46b6-9d88-a7dc52e16258 · outbound

This paper cites Learning Transferable Architectures for Scalable Image Recognition.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Learning Transferable Architectures for Scalable Image Recognition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:35.452603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:35.452603Z digest=sha256:c0ca5a9c891240987381ee50fbafc07d53098c01559436553b3b35009eed952c

Observation 9ae27e76-6203-4b1b-9bdd-d08d1ebb786c · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:35.518866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:35.518866Z digest=sha256:170d44043324950f9a8204c4726d8dd3ae9669f727d4618be1f95c984536c243

Observation 3cc7a674-fa32-40ff-990a-20d9014f5ffd · outbound

This paper cites Bandit Based Monte-Carlo Planning,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Bandit Based Monte-Carlo Planning,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:38.469040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.587926Z digest=sha256:dcda00b602164fb0a8bbef8f593fc5b91f1a61d21780db1278d50e6ea240681e

Observation a37c5d00-648a-435f-a8a4-73c833ad0d03 · outbound

This paper cites Generalized Rapid Action Value Estimation,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Generalized Rapid Action Value Estimation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:38.162166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.672460Z digest=sha256:de2e5e04ade418803bfa55d6cb86292905dab6980712a5e84bd6a390f061f204

Observation 6442be2e-3e20-4866-ba4f-b3ff79e4f088 · outbound

This paper cites Nested Monte-Carlo Search,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Nested Monte-Carlo Search,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:37.857443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.757487Z digest=sha256:022b348f95ef4a9166d863cc2603fa49caa6e6a48fc4b0f9574dbe1c3b98652b

Observation 785e52f6-1724-4767-ad19-6d31bb8dde9a · outbound

This paper cites On the Parallelization of UCT,.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search On the Parallelization of UCT,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:37.593973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:35.842115Z digest=sha256:2fe14c7cce0ba809c5229610291fab44292fb609996206c0048eb886dc1d7c10

Observation 43895d6e-4a02-4492-b110-78ff87ac5fcb · outbound

This paper cites Available: https://www.mdpi.com/2072-4292/15/11/2904.

Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search Available: https://www.mdpi.com/2072-4292/15/11/2904

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:50:40.086428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T04:50:34.507571Z digest=sha256:f97aefffa6a9bf352af915db43f4c2f755fd9fad81d7729171dc7988d59ddbe5

Pith citing papers

No inbound Pith citation observations are available.