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Paper Citation Record · LEDGER

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.06476.

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

pith.paper-citation-record.v1
2506.06476 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:45.624032Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

24 of 24 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e01d522-5a44-4ea3-ba5e-251610a6c856 · outbound

This paper cites Scientific challenges and present capabilities in underwater robotic vehicle design and navigation for oceanographic exploration under- ice,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Scientific challenges and present capabilities in underwater robotic vehicle design and navigation for oceanographic exploration under- ice,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 36dc0f0f-1fbc-42d5-8621-5b102c6515bc · outbound

This paper cites Role of deep-sea equipment in promoting the forefront of studies on life in extreme environments,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Role of deep-sea equipment in promoting the forefront of studies on life in extreme environments,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.872986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 17e27a14-7705-4836-a77c-52767e0aef33 · outbound

This paper cites Subsea infrastructure inspection: A review study,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Subsea infrastructure inspection: A review study,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.862674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3ee2bd74-99cc-4386-8915-b5586b354e02 · outbound

This paper cites A subsea space race,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception A subsea space race,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.852512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 69f4b122-cffe-441a-9bd7-ea8605e1ae42 · outbound

This paper cites Underwater photogrammetric mapping of an intact standing steel wreck with rov,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Underwater photogrammetric mapping of an intact standing steel wreck with rov,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.843642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5b447b9a-c399-408a-a469-07e6c4fa06b4 · outbound

This paper cites Towards adaptive benthic habitat mapping,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Towards adaptive benthic habitat mapping,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.834524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 30318e84-3769-4161-a493-e443097d8f4d · outbound

This paper cites Towards Automated Sample Collection and Return in Extreme Underwater Environments.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Towards Automated Sample Collection and Return in Extreme Underwater Environments

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:59:45.688434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1ca57398-8bd2-4245-af8d-176c946193c4 · outbound

This paper cites Mobley, The Oceanic Optics Book , 01 2022.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Mobley, The Oceanic Optics Book , 01 2022

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.569942Z digest=sha256:432098f962a18f65b1d8f9dd00bf266aa5cfe11a434784a63e57d4ce2a46e753

Observation 18822e7d-4be5-46bf-ace8-8370e27ff548 · outbound

This paper cites Extending kalibr: Calibrating the extrinsics of multiple imus and of individual axes,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Extending kalibr: Calibrating the extrinsics of multiple imus and of individual axes,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.814865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.573227Z digest=sha256:9b0a430c7bbf3516abff5b4e7ada0c2762d4d88b4373b2d545b3c9f306538afe

Observation 3212161f-c269-483e-9ce8-e8e9fd617e6f · outbound

This paper cites From virtual waters to real oceans: A simulation-driven approach to rov control system design,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception From virtual waters to real oceans: A simulation-driven approach to rov control system design,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.804005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 54a02475-ac01-4872-863c-77ddaa494b25 · outbound

This paper cites A review of monocular visual odometry,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception A review of monocular visual odometry,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.793175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.579799Z digest=sha256:ff52ea97de9267d2b98f79b3fa5556950d84a3d4b8eb05d3453df8cd078a9ada

Observation 5bb2bc2f-b508-4286-9776-1134c35ddbb1 · outbound

This paper cites ORBSlam3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception ORBSlam3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.783102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ea7f03dc-4134-4a29-9dba-4fb66c38dcaf · outbound

This paper cites Redesigning slam for arbitrary multi-camera systems,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Redesigning slam for arbitrary multi-camera systems,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.773361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.586309Z digest=sha256:d130a5d7ba5ce47bb1245705610d95b4ebc155921b438a414d4a1f73c63295fd

Observation acb4973e-eb28-4b0d-a29c-83553dc3fdff · outbound

This paper cites MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception MultiCol-SLAM - A Modular Real-Time Multi-Camera SLAM System

Reference 14

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no resolver link, observed 2026-08-07T05:59:45.589922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61b55cb0-c7ff-433f-aee4-03d4d3ff6c88 · outbound

This paper cites Design and evaluation of a generic visual slam framework for multi camera systems,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Design and evaluation of a generic visual slam framework for multi camera systems,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.763685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 418edfd3-b90d-4c93-bef6-aec7bfe03b19 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Flownet: Learning optical flow with convolutional networks,

Reference 16

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no resolver link, observed 2026-08-07T05:59:45.596580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0776f73f-2c92-422d-8c2f-d173da9c7663 · outbound

This paper cites Gmflow: Learning optical flow via global matching,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Gmflow: Learning optical flow via global matching,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.747516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e11133ad-b1aa-4e49-af40-4e1e1fec4de5 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Raft: Recurrent all-pairs field transforms for optical flow,

Reference 18

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unresolved
no resolver link, observed 2026-08-07T05:59:45.602783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 31006000-009b-40ca-92d6-1be4d1dae614 · outbound

This paper cites an unresolved cited work.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:59:45.730925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 71a0f8a4-0933-4a79-9edd-fa35fd2e2f30 · outbound

This paper cites DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:45.609297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:45.609297Z digest=sha256:83e45e257050ed9b183a8c1b21900f2376f4c7393f84ffbab9e53f0f2d9b0652

Observation 38b149dd-0300-4705-a7d2-20728c3522ee · outbound

This paper cites Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.720785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.612540Z digest=sha256:0f48195858d038a92f1be483e5f3fbb029c8ade97148136b5f3b52f6f7f1aed8

Observation 72448b42-0741-45c2-9109-e214b875ea44 · outbound

This paper cites Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.710360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.615603Z digest=sha256:94b0a2e5b9592eecb3cfc5db22ef0c6722b6374b3aeedfe329b7d09572772f96

Observation 7145937f-0cf8-413b-b0e5-34a4adf89bbf · outbound

This paper cites A survey on deep learning based approaches for scene understanding in autonomous driving,.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception A survey on deep learning based approaches for scene understanding in autonomous driving,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:59:45.699927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T05:59:45.619671Z digest=sha256:76c18078c8a501a8aacea0223d75469731472054959281b85978d46e196af9a3

Observation c230e684-6ba1-4836-bc60-546bcd2df36f · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Enhancing Situational Awareness in Underwater Robotics with Multi-modal Spatial Perception Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:45.624032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.