Pith. sign in

Paper Citation Record · LEDGER

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.04387.

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

pith.paper-citation-record.v1
1908.04387 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:17:47.436942Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92d7cbd8-0726-464b-a776-0c2b0fe5d48f · outbound

This paper cites An introduction to machine learning.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth An introduction to machine learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.678526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.362467Z digest=sha256:79dc3ae93f1f937b2cf85d44f6bd5c41044705b072ee7918f707d718cfeb6e72

Observation e3ece9ce-170f-46bb-a486-c9b86f9dd6c2 · outbound

This paper cites Machine learning: an algorithmic perspective.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Machine learning: an algorithmic perspective

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.666547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.368916Z digest=sha256:8e2819aac2687829f41c8f2526a8608620a5b15f226bffdee6264a9792ba3998

Observation 205f5061-bbe5-49c1-a30c-176654c1fe02 · outbound

This paper cites Semi-supervised elastic net for pedestrian counting.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Semi-supervised elastic net for pedestrian counting

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.655013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.373915Z digest=sha256:af066ff16f2e2522d12eba4763deded69c78855febc33fcc967f774902dfac43

Observation 4b28fb1e-7fb4-45e8-bc26-3d500bbc653f · outbound

This paper cites A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.643454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.378314Z digest=sha256:87c289c74838b9e9ea86b3e1bb8897b744bcf02869a6526fd39ca472bd7a139c

Observation 3a7ff741-5fdf-4e43-a278-67022d558d32 · outbound

This paper cites Semi-supervised deep learning for monocular depth map prediction.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Semi-supervised deep learning for monocular depth map prediction

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.630796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.382598Z digest=sha256:9a525fe74cacd87400639b06af0814a40ea669605517c7bb0bdbd7415be7d8a3

Observation 2ea08397-9490-42fc-9a18-27b4fa17284f · outbound

This paper cites Watch and learn: Semi-supervised learning for object detectors from video.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Watch and learn: Semi-supervised learning for object detectors from video

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.616852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.386658Z digest=sha256:db170a1225da55083658f7ac9916134450d9d2ec67f70103d57d5e569f4fb01d

Observation f459c288-aac6-4ff2-99ac-aa43652cda65 · outbound

This paper cites V olumetric mass flow sensor for citrus mechanical harvesting machines.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth V olumetric mass flow sensor for citrus mechanical harvesting machines

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.603356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.390639Z digest=sha256:4811dfdc39d0bc3be71263e9c8e5f656c0861384631a168d2885c873d6b441de

Observation f77f621d-0e33-4f63-8e8c-c9f873ae5dd2 · outbound

This paper cites Mass and Size Estimation of citrus Fruit by Machine vision and citrus greening diseased fruit detection using spectral analysis.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Mass and Size Estimation of citrus Fruit by Machine vision and citrus greening diseased fruit detection using spectral analysis

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.591499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.394169Z digest=sha256:e850df003e16abf448fcd7a0c187af0d0baf80fb11a5e5407b73484c42ce1b8b

Observation c33d8cfa-4d35-474d-b30e-17c6b415f26d · outbound

This paper cites Mass-flow estimation in mineral-processing applications.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Mass-flow estimation in mineral-processing applications

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.579779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.398333Z digest=sha256:ce6a0a0f53960f68f230ae8fe1bdc681e7493193f65c54fe7bd27ad6210141a8

Observation 51d93784-65c5-469c-9280-02ca44e55b9e · outbound

This paper cites Introduction to semi-supervised learning.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Introduction to semi-supervised learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.567575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.402310Z digest=sha256:30e5a65319c35d2623487a6bc646a647febf2338c8886aaea6bd10a3909f3c33

Observation 7ee31d07-f491-4477-b77b-42413a59333a · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Policy gradient methods for reinforcement learning with function approximation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T15:17:47.406232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:17:47.406232Z digest=sha256:f940c67e3190b38c4e6406834fbe9e43fa464a3b86726f4e5c3718695ea046b7

Observation c437b8e2-195b-43d8-befe-9b96becbdc42 · outbound

This paper cites In-Soil Measuring of Sugar Beet Yield Using UWB Radar Sensor System.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth In-Soil Measuring of Sugar Beet Yield Using UWB Radar Sensor System

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.548849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.410712Z digest=sha256:7a5828616ed38d01ceea048d380957f64317a73c35efb7ac0993af3c8e79c85c

Observation 74f59fe8-4a02-41c5-af8c-1faf4320f142 · outbound

This paper cites Evolutions of packing properties of perfect cylinders under densification and crystallization.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Evolutions of packing properties of perfect cylinders under densification and crystallization

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.536981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.415095Z digest=sha256:c151296ac0282f856d8acc6b0d77b8d5910305a753ab13589218538854b1c375

Observation 8819b99d-69f4-4f4f-8b2d-820934dde234 · outbound

This paper cites Experimental and computational analysis of random cylinder packings with applications.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Experimental and computational analysis of random cylinder packings with applications

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.525814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.418559Z digest=sha256:2933a5fdd5d62d58b3df85799b00489705e947a087782bebc74f3cb6bd4a64ae

Observation 49dfaa24-4b8a-4b61-a4be-489ea01e7183 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Neural Machine Translation by Jointly Learning to Align and Translate

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T15:17:47.422244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:17:47.422244Z digest=sha256:101384c648b9c32444982465f8a0cb82b9bc83069bb3211a5e30604142f56cb5

Observation 1a8de000-a263-44d1-a24e-f0289507828e · outbound

This paper cites Identity mappings in deep residual networks.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Identity mappings in deep residual networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T15:17:47.426494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:17:47.426494Z digest=sha256:7c2a6d489d6f0d42d691c853ea6f55d91d2ad12bac1a67bf2104d4c2dd8f8220

Observation c6d589e8-76bf-4c27-a334-8e7242d4d1c9 · outbound

This paper cites Image analysis and comparison.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Image analysis and comparison

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.506579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.430153Z digest=sha256:07a7c4b52a0ced7a64efa409c0e0b7ce9ee1bc618835ff6444229ee160f8f4e6

Observation 38ea92d7-d7e8-4ee7-9dc6-f4ad0af83509 · outbound

This paper cites Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.495033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.433529Z digest=sha256:9ffd58ef7dc21576d5dde992368c85a9ec1f69ae023d31a1fcffcb83800702af

Observation 51cd129f-1dca-43a6-9ee2-8cd13b8bdf08 · outbound

This paper cites Eager execution in tensorflow.

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth Eager execution in tensorflow

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:17:47.482284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:17:47.436942Z digest=sha256:9e34ef7d9f1ed47f4f17109ea20e94d9792cd765cd292a2f6e25989c3d2dfa2e

Pith citing papers

No inbound Pith citation observations are available.