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Paper Citation Record · LEDGER

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.04453.

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

pith.paper-citation-record.v1
2607.04453 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:02:37.598360Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

17 of 17 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35b5a839-e58c-4ea2-af30-0c95d84b5b00 · outbound

This paper cites The use of wide-band transmittance imaging to size and classify suspended particulate matter in seawater,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier The use of wide-band transmittance imaging to size and classify suspended particulate matter in seawater,

Reference 1

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Observation 736ba349-d434-4bff-ab74-e9d140d488d7 · outbound

This paper cites Advancing ocean observation with an AI-driven mobile robotic explorer,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Advancing ocean observation with an AI-driven mobile robotic explorer,

Reference 2

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Observation 899a122f-750a-4692-b37d-3e95d114ae8b · outbound

This paper cites Zooplanktonet: Deep convolutional network for zooplankton classification,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Zooplanktonet: Deep convolutional network for zooplankton classification,

Reference 3

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Observation 04098e99-4292-4d22-8ff7-d11a5c6eeec3 · outbound

This paper cites PyOPIA: A python ocean particle image analysis toolbox,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier PyOPIA: A python ocean particle image analysis toolbox,

Reference 4

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Observation 734aa054-170d-42d5-8fb4-a0753d113a43 · outbound

This paper cites Intriguing properties of neural networks,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Intriguing properties of neural networks,

Reference 5

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Observation b9dd82d9-1d3d-491a-a19e-cac1c747fa10 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Explaining and harnessing adversarial examples,

Reference 6

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Observation f6bda16d-5d4e-48cf-bb71-5a306c24a103 · outbound

This paper cites Neural ordinary differential equations,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Neural ordinary differential equations,

Reference 7

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Observation 98d26315-62bd-4e52-a5c1-d7b9958562d4 · outbound

This paper cites On the robustness to adversarial examples of neural ODE image classifiers,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier On the robustness to adversarial examples of neural ODE image classifiers,

Reference 8

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Observation 130f21ee-726a-4b6b-8551-ffa4bc2640e7 · outbound

This paper cites Defending neural ODE image classifiers from adversarial attacks with tolerance randomization,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Defending neural ODE image classifiers from adversarial attacks with tolerance randomization,

Reference 9

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Observation 22d2deef-5d5e-427f-a8e5-8dbb7a473379 · outbound

This paper cites On Robustness of Neural Ordinary Differential Equations.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier On Robustness of Neural Ordinary Differential Equations

Reference 10

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Observation 1b0aaf50-82bb-40ea-b8f5-302b7e43fc1c · outbound

This paper cites A stable mapping of nmode,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier A stable mapping of nmode,

Reference 11

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Observation f2d68752-ad48-4aea-910a-7dea6830c5ba · outbound

This paper cites Meyer, A.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Meyer, A

Reference 12

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Observation 64001fd4-ab15-42db-8c82-6016b24088c0 · outbound

This paper cites Bridging neural ODE and resnet: A formal error bound for safety verification,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Bridging neural ODE and resnet: A formal error bound for safety verification,

Reference 13

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Observation 57b8d3ad-9cde-4fc5-a1df-80804c8a773f · outbound

This paper cites TNODEV: Toolbox for Neural ODE Verification.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier TNODEV: Toolbox for Neural ODE Verification

Reference 14

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Observation c50a620d-8084-4c62-afae-2e5058af49a9 · outbound

This paper cites Mixed monotonicity reach- ability analysis of neural ode: A trade-off between tightness and effi- ciency,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier Mixed monotonicity reach- ability analysis of neural ode: A trade-off between tightness and effi- ciency,

Reference 15

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Observation 6471603e-1b64-422d-927a-46b4d0ee20a5 · outbound

This paper cites NNV 2.0: The neural network verification tool,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier NNV 2.0: The neural network verification tool,

Reference 16

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Observation 31bcb545-b5dd-47ce-8b5e-80d7494f6fa4 · outbound

This paper cites torchdiffeq,.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier torchdiffeq,

Reference 17

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Pith citing papers

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