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Paper Citation Record · LEDGER

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving

As of 21 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2504.16374.

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

pith.paper-citation-record.v1
2504.16374 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:14.717024Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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 exact0
  • verified fuzzy23
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3059364b-8444-4857-bd32-f5dfab2b9a98 · outbound

This paper cites High-speed recognition of pedestrians out of blind spot with pre-detection of potentially dangerous regions,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving High-speed recognition of pedestrians out of blind spot with pre-detection of potentially dangerous regions,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.491408Z digest=sha256:d48189909ce1517f21e095b24ff992158e7e03a7512ac109f8810026eb8dd19c

Observation 93871090-0355-4c18-be6c-7943aaa33b26 · outbound

This paper cites Global plan for the decade of action for road safety: Expectations from developing nations,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Global plan for the decade of action for road safety: Expectations from developing nations,

Reference 2

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raw_fallback, observed 2026-08-16T11:09:15.535120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.501703Z digest=sha256:fe5caaec7d8a7b87cc81014ecd97962ad53dc03eca0dcda9f4061492e55e96ce

Observation 2bd3a23b-aa6b-43e6-80b3-13bf7c9524ca · outbound

This paper cites Monocular blind spot estimation with occupancy grid mapping,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Monocular blind spot estimation with occupancy grid mapping,

Reference 3

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raw_fallback, observed 2026-08-16T11:09:15.515429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.509163Z digest=sha256:4778c4c8b1c653ffbe9fa855e4c4be93297f6b240573376e35074bf983767699

Observation 8d057df6-3059-4ddb-a8bd-789b5fd19d5d · outbound

This paper cites Evolution of yolo-v5 algorithm for object detection: Automated detection of library books and performace validation of dataset,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Evolution of yolo-v5 algorithm for object detection: Automated detection of library books and performace validation of dataset,

Reference 4

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raw_fallback, observed 2026-08-16T11:09:15.496996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.517027Z digest=sha256:3db10f5eda9a1c1ed86bc23919650cc90c7e06597d04512b1f63ce26f7696c92

Observation 6ed6709e-4578-451c-954b-ef75815d6282 · outbound

This paper cites Real-Time Flying Object Detection with YOLOv8.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Real-Time Flying Object Detection with YOLOv8

Reference 5

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no resolver link, observed 2026-08-16T11:09:14.524528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.524528Z digest=sha256:f77d281928d3d7045bf8f070ded9b4c2179e501a65c4ebc4102e0715686b02c1

Observation 584f91f9-fb03-4e1c-bc25-1be87ec5e248 · outbound

This paper cites Sgba: Semantic gaussian mixture model-based lidar bundle adjustment,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Sgba: Semantic gaussian mixture model-based lidar bundle adjustment,

Reference 6

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raw_fallback, observed 2026-08-16T11:09:15.476496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.535701Z digest=sha256:dfbe4de291bbbb5ff81006d6e964beb82e89aa9e8ea61879cfc61a4642afcacc

Observation ca24d650-f1ec-4ebe-ba6f-b6ec5af2929a · outbound

This paper cites Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Mopa: Multi- modal prior aided domain adaptation for 3d semantic segmentation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.542195Z digest=sha256:2979de9d0ca8219b28125195e3e1bbad615aa1beae4132797f8d446689965b40

Observation c6435ad7-18c4-421c-9bc5-eb14208dd675 · outbound

This paper cites Outram: One-shot global localization via triangulated scene graph and global outlier pruning,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Outram: One-shot global localization via triangulated scene graph and global outlier pruning,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.549007Z digest=sha256:528578774f8824630db9ca24374032c259f81db335432bca2eae45a3c08981a8

Observation 81c61693-851d-4a80-89ea-bfa89f74d3db · outbound

This paper cites Potential risk localization via weak labeling out of blind spot,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Potential risk localization via weak labeling out of blind spot,

Reference 9

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raw_fallback, observed 2026-08-16T11:09:15.404634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.554998Z digest=sha256:9f715ffe3d6ea653a70dce57389a1451aea0624ffd5bc76468ad8e7e95595061

Observation f1785d92-18c5-4041-a40c-42186a444464 · outbound

This paper cites Evolutionary v2x technologies toward the internet of vehicles: Challenges and opportunities,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Evolutionary v2x technologies toward the internet of vehicles: Challenges and opportunities,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.560871Z digest=sha256:85e9ede3c0dba95ced9f47116a143ae7f5cd1b2368207d562543c852efa01a56

Observation 4e514306-7b55-4c2c-a74f-7922f51a2e53 · outbound

This paper cites Av-pedaware: Self- supervised audio-visual fusion for dynamic pedestrian awareness,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Av-pedaware: Self- supervised audio-visual fusion for dynamic pedestrian awareness,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.566434Z digest=sha256:a81a8f4098f3a33cca482f1c2a5bc531a8e59acfcda171fe1d1b7188251021e6

Observation 69c44544-6167-4ec3-9831-2df73a02bbfb · outbound

This paper cites Wireless access for v2x communications: Research, challenges and opportunities,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Wireless access for v2x communications: Research, challenges and opportunities,

Reference 12

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raw_fallback, observed 2026-08-16T11:09:15.347717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.572431Z digest=sha256:16136f898ae03ca1594baa2e01a4cf0d317e2f60b7acf675979f37e32b6d9842

Observation 0bd7b88e-700c-4dfc-adbd-7a496f3dc390 · outbound

This paper cites Computational framework for steady-state nlos localization under changing ambient illumination conditions,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Computational framework for steady-state nlos localization under changing ambient illumination conditions,

Reference 13

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raw_fallback, observed 2026-08-16T11:09:15.319963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.579087Z digest=sha256:fa769e4ab7f9dbb9d4b20910e247760cea04f0b0922ceef8b94a75a804be164c

Observation 2437be55-ad6d-4707-8521-d8b7aa70541a · outbound

This paper cites Non-line-of-sight reconstruction using efficient transient rendering,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Non-line-of-sight reconstruction using efficient transient rendering,

Reference 14

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raw_fallback, observed 2026-08-16T11:09:15.294113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.589798Z digest=sha256:196f75cdcfdc4b3067ef01347e945e6de17461733634dc751975187ff6b80416

Observation 3b76e5d7-02a0-4433-82a9-3f45a1e726b1 · outbound

This paper cites Learned feature embeddings for non-line-of-sight imaging and recognition,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Learned feature embeddings for non-line-of-sight imaging and recognition,

Reference 15

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raw_fallback, observed 2026-08-16T11:09:15.267581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.597105Z digest=sha256:db522d777a30748996e662e0391d8e23a8a9218621e67ecdcab08e874dedef8c

Observation c5b9f376-df45-4a19-ba60-fd09eb319939 · outbound

This paper cites Direct object recognition without line-of-sight using optical coherence,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Direct object recognition without line-of-sight using optical coherence,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.603526Z digest=sha256:a5f7778e0019fd58b543b7b9af5e2b24ad5a52379b842ce4c3cf23c90079e86c

Observation 2227a7b3-d806-4ac9-85a8-329263f41af0 · outbound

This paper cites Metric3d v2: A versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Metric3d v2: A versatile monocular geometric foundation model for zero-shot metric depth and surface normal estimation,

Reference 17

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source=pdf_text observed=2026-08-16T11:09:14.609174Z digest=sha256:88198bfd4ed6b7eb2bd34fdd6f69baa32249de230125ea31f9148df7f235c7a1

Observation 56ddb51c-08c6-4352-9443-ed28f4a903db · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving U-net: Convolutional networks for biomedical image segmentation,

Reference 18

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source=pdf_text observed=2026-08-16T11:09:14.614385Z digest=sha256:1672eea242cc14f6a49ded17b630e9dfdfee28f529fd6d7fdba8b41d18d764ce

Observation 5b46a7b4-3065-43e7-a2cd-58ecf62326ab · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.619139Z digest=sha256:434a32526f52d3a6b0da3d73124fdbfa0889bc89f0517d724a23f497a499d36d

Observation ffa6dba5-b11a-412f-a024-dd2a89acfe35 · outbound

This paper cites Blind spot obstacle detection from monocular camera images with depth cues extracted by cnn,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Blind spot obstacle detection from monocular camera images with depth cues extracted by cnn,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.626069Z digest=sha256:e1d5d3426b7fb6df7a7e00e5eabafb9b73781fc7f6560f4a1ae7404205761232

Observation 6bffaa68-41ed-4434-be1f-eaaef504500a · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 21

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source=pdf_text observed=2026-08-16T11:09:14.632814Z digest=sha256:f76783f957ea23455729d26017162f43818bf86348f92b527f42a59c9c469e9b

Observation 607e7e7a-f5f4-474c-8edb-09a144a259bc · outbound

This paper cites Blind-spot visualization via ar glasses using millimeter-wave v2x for safe driving,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Blind-spot visualization via ar glasses using millimeter-wave v2x for safe driving,

Reference 22

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raw_fallback, observed 2026-08-16T11:09:15.099123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.639040Z digest=sha256:ce67848fe0b6f958cbead4a1c771b272e6e170be22977821a689f89a8e8c85c7

Observation 4ce3550a-a132-47eb-9182-0881a0e5bb37 · outbound

This paper cites A v2x-based approach for avoiding potential blind-zone collisions between right- turning vehicles and pedestrians at intersections,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving A v2x-based approach for avoiding potential blind-zone collisions between right- turning vehicles and pedestrians at intersections,

Reference 23

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raw_fallback, observed 2026-08-16T11:09:15.067324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.644673Z digest=sha256:2f03c1055b59b5582686a7fce6e0d40d9e6424116a582ceb64c8b32bbeb91d94

Observation 2aa0b0b7-2c30-47b1-b422-e1fcabd25985 · outbound

This paper cites A novel context-aware system to improve driver’s field of view in urban traffic networks,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving A novel context-aware system to improve driver’s field of view in urban traffic networks,

Reference 24

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raw_fallback, observed 2026-08-16T11:09:15.040064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.651669Z digest=sha256:13660883a170e42cd05aed372501fc7f3272cdbf3dd8e70c3413792b7fa50c3c

Observation 8228774d-019c-48ee-b3d6-6fdade1e2b1d · outbound

This paper cites Two-dimensional non-line-of-sight scene estimation from a single edge occluder,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Two-dimensional non-line-of-sight scene estimation from a single edge occluder,

Reference 25

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raw_fallback, observed 2026-08-16T11:09:15.004073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.667564Z digest=sha256:760ae6b1e8160c9a1129503a7f0244dbe83bf0bed77e75e0b7df2f4183320a1f

Observation 79fab37e-f3a6-4ce5-b4e5-0989d87553d7 · outbound

This paper cites Ghost- probe: Nlos pedestrian rushing detection with monocular camera for automated driving,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Ghost- probe: Nlos pedestrian rushing detection with monocular camera for automated driving,

Reference 26

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raw_fallback, observed 2026-08-16T11:09:14.962068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.673970Z digest=sha256:1bfe3d45a784a05deeca35b8a0767f92ba73168cbb5252a4f65f940c58d9a56a

Observation a18ac405-34df-4dc4-a479-fd630a21a71d · outbound

This paper cites Blindspotnet: Seeing where we cannot see,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Blindspotnet: Seeing where we cannot see,

Reference 27

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raw_fallback, observed 2026-08-16T11:09:14.933395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.679733Z digest=sha256:0c7d69e732c3ca0193dfa4ae0065bd50dc5edb31d79c98114aad577c19e2dead

Observation 72fb1ec5-1948-4f42-870e-676728bebfe2 · outbound

This paper cites Probable multi-hypothesis blind spot estimation for driving risk prediction,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Probable multi-hypothesis blind spot estimation for driving risk prediction,

Reference 28

Resolution
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raw_fallback, observed 2026-08-16T11:09:14.903087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.685471Z digest=sha256:1fcf33b59c2b594db077c9d3d970e8ed98c079746ec85543ed8515b7ac5dd3e8

Observation 47e8c7bd-9860-491a-a813-3616bbf107f8 · outbound

This paper cites Detection and tracking of moving objects at road intersections using a 360-degree camera for driver assistance and automated driving,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Detection and tracking of moving objects at road intersections using a 360-degree camera for driver assistance and automated driving,

Reference 29

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raw_fallback, observed 2026-08-16T11:09:14.879066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.692204Z digest=sha256:960f886f2731b4bded4e14e09af4ada66005198a49724d08688f40645793036b

Observation 8a5f8a2d-7109-409e-8c86-84716cb6a764 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.698615Z digest=sha256:befd328f9b141d4ba10062f51c063c924cdf98b13b108315c8517b38d7d81255

Observation 3d8b7b9e-e77d-41bc-aac4-d898e45bde35 · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Efficientdet: Scalable and efficient object detection,

Reference 31

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no resolver link, observed 2026-08-16T11:09:14.704627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.704627Z digest=sha256:d22b5b435892a5a3abbbba58330889abe712fb017b94de3cf3d55f0008985762

Observation 051f92cc-95a9-4c16-b9eb-7dfadc611a76 · outbound

This paper cites Ultralytics yolo (version 8.0.0),.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving Ultralytics yolo (version 8.0.0),

Reference 32

Resolution
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raw_fallback, observed 2026-08-16T11:09:14.823570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T11:09:14.710618Z digest=sha256:e93654a90f83abea372aa087ecd90f2119203f2bd1a673419d9020c2655aa702

Observation b25482af-2845-4329-91df-63b6db63cd50 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

DPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 33

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unresolved
no resolver link, observed 2026-08-16T11:09:14.717024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:14.717024Z digest=sha256:5a9e4e042250506dd215bf9a93e30f5721f5abbfdda3a47728f7ed990ccb0bcb

Pith citing papers

No inbound Pith citation observations are available.