Paper Citation Record · LEDGER

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera

As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.09401.

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

pith.paper-citation-record.v1
1908.09401 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:15:33.589157Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

20 of 20 outbound references displayed

verified exact2
verified fuzzy14
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0e2b39b-8302-48f3-9242-c1a4c2f442ed · outbound

This paper cites Ultra-high sensitivity color imaging via a transparent diffractive-filter array and computational optics,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Ultra-high sensitivity color imaging via a transparent diffractive-filter array and computational optics,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.920017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52696c2e-6421-448e-9874-6d02ed7f6ee7 · outbound

This paper cites Computational multi-spectral video imaging,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Computational multi-spectral video imaging,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.905265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c26dde21-35b8-4e66-9869-038591e39241 · outbound

This paper cites Computational snapshot angular-spectral lensless imaging.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Computational snapshot angular-spectral lensless imaging

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:15:33.709949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09d9853b-1b48-4f94-b50a-00be8ac38ed9 · outbound

This paper cites Deep-brain imaging via epi-fluorescence computational cannula microscopy,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Deep-brain imaging via epi-fluorescence computational cannula microscopy,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.890582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e3388bd-2780-4b8d-8886-d92d591c05f3 · outbound

This paper cites Numerical analysis of computational cannula microscopy,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Numerical analysis of computational cannula microscopy,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.875623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4fd932a-bd01-4df1-8253-51b6b0269c02 · outbound

This paper cites Cannula-based computational fluorescence microscopy,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Cannula-based computational fluorescence microscopy,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.861146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7eba2f01-7216-4bb6-8bf2-ffd61b126447 · outbound

This paper cites An ultra-small 3D computational microscope,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera An ultra-small 3D computational microscope,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.846818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e658494e-bd06-4c51-9ef9-ebf3c869c998 · outbound

This paper cites Lensless photography with only an image sensor,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Lensless photography with only an image sensor,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.832535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a26fe857-1e96-48c2-84bc-818cf4f977f8 · outbound

This paper cites Lensless-camera based machine learning for image classification.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Lensless-camera based machine learning for image classification

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:15:33.688116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed0efa10-035a-4ba0-a87c-cabc0ba53df2 · outbound

This paper cites Computational imaging enables a “see-through.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Computational imaging enables a “see-through

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.818120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ba2ef67-63cb-4395-a986-8bc750d7fe7f · outbound

This paper cites On the use of deep learning in computational imaging,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera On the use of deep learning in computational imaging,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.803762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fa3d6141-ec4c-40f8-8c56-b6b04a90be7e · outbound

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

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera U-net: Convolutional networks for biomedical image segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.787756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50acc1df-b5be-4499-9900-f7a7f3fd3778 · outbound

This paper cites Deep residual learning for image recognition,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Deep residual learning for image recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.772348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2ff53e0-a8d5-4790-89ae-a41ad0cd5e81 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision?,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera What uncertainties do we need in bayesian deep learning for computer vision?,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.756703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a570912-14ce-4315-9f65-bd84b592dc65 · outbound

This paper cites Risk-sensitive loss functions for sparse multi-category classification problems,.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Risk-sensitive loss functions for sparse multi-category classification problems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.741563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 101a020e-447f-42f6-8d7d-651c6904d6d6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Adam: A Method for Stochastic Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T11:15:33.570239Z

Source-reported events for the cited work

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Observation bde3c701-6ef4-428b-9dff-7f64f2f65c9c · outbound

This paper cites Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T11:15:33.574823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f29a8f-ba2c-461f-9d7b-b3ca7025aba4 · outbound

This paper cites LeCun and C.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera LeCun and C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:15:33.725837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94dee2f6-7eb0-4392-8ee1-db9b6d34b473 · outbound

This paper cites EMNIST: an extension of MNIST to handwritten letters.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera EMNIST: an extension of MNIST to handwritten letters

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T11:15:33.584381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cc4b95-a803-4d90-b096-06b828c4a27d · outbound

This paper cites Deep Learning for Classical Japanese Literature.

Machine-learning enables Image Reconstruction and Classification in a "see-through" camera Deep Learning for Classical Japanese Literature

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T11:15:33.589157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.