Paper Citation Record · LEDGER

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.00669.

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

pith.paper-citation-record.v1
1908.00669 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:44:59.437736Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact1
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d889c81a-3287-4fda-90bf-399aeaf1370a · outbound

This paper cites Ilsvrc-2012,.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Ilsvrc-2012,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.684445Z

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.

Observation 82089856-032f-461f-8912-73c50997d56c · outbound

This paper cites Microsoft coco: Common objects in context.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Microsoft coco: Common objects in context

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T15:44:59.373771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309f991e-cdf1-490e-bb1c-521a200bcb74 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Fully convolutional networks for semantic segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:44:59.378270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5631b1d6-18d1-4d01-bae8-7f0ecb34c590 · outbound

This paper cites Understanding convolution for semantic segmentation.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Understanding convolution for semantic segmentation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.647657Z

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.

Observation c6d41cff-b871-43c2-a28f-5ad82dfd7bf0 · outbound

This paper cites an unresolved cited work.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:44:59.636538Z

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.

Observation ae3a04a1-6a3b-42e7-98a7-4c197d46fd90 · outbound

This paper cites Deep learning advances in computer vision with 3d data: A survey.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Deep learning advances in computer vision with 3d data: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.624042Z

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.

Observation 8bc6651b-c912-40c1-a099-35296f25078b · outbound

This paper cites Deformable convnets v2: More deformable, better results.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Deformable convnets v2: More deformable, better results

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.612219Z

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.

Observation ae17204c-ac9e-46af-9139-bace268062d0 · outbound

This paper cites Efficient semantic image segmentation with superpixel pooling.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Efficient semantic image segmentation with superpixel pooling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T15:44:59.398113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1a30aa-abff-4e15-8dd2-4f98b9512722 · outbound

This paper cites Achanta, A.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Achanta, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.600692Z

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.

Observation 295b3901-c2a6-42c9-b77e-a2f91b2d6751 · outbound

This paper cites Fast cloud image segmentation with superpixel analysis based convolutional networks.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Fast cloud image segmentation with superpixel analysis based convolutional networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.589630Z

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.

Observation 04ccd995-4c7f-44ee-aaaf-c97ddeb986cf · outbound

This paper cites Feedforward semantic segmentation with zoom-out features.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Feedforward semantic segmentation with zoom-out features

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.578748Z

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.

Observation bce5e9b0-e288-4ed4-977d-8d9b361e24a0 · outbound

This paper cites Dynamic routing between capsules.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Dynamic routing between capsules

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.567628Z

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.

Observation 3a5c73dd-d58a-4047-902c-4d61904378de · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features U-net: Convo- lutional networks for biomedical image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.555881Z

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.

Observation 637ae177-f20b-4c52-847d-aadce3067635 · outbound

This paper cites Capsdemm: Capsule network for detection of munros microabscess in skin biopsy images.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Capsdemm: Capsule network for detection of munros microabscess in skin biopsy images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.544030Z

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.

Observation 1ea86f81-e6f3-4781-b925-0d87d2d8a7b8 · outbound

This paper cites Capsules for Object Segmentation.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Capsules for Object Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T15:44:59.423182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f266bd-cca0-4f1b-a1fa-9acb29d24ae1 · outbound

This paper cites gSLICr: SLIC superpixels at over 250Hz.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features gSLICr: SLIC superpixels at over 250Hz

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:44:59.475374Z

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.

Observation 6b2a2d88-22ea-4dd1-8e4a-925e3162b29b · outbound

This paper cites Matrix capsules with em routing.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Matrix capsules with em routing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.531995Z

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.

Observation a53f72f0-0d84-48fc-8e02-ceaaefe11eae · outbound

This paper cites Simonyan and A.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Simonyan and A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.519918Z

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.

Observation 98470663-97fc-40f2-a5d3-8ca6b2f25182 · outbound

This paper cites Linnaeus 5 dataset for machine learning.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features Linnaeus 5 dataset for machine learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.508389Z

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.

Observation a491d0c2-33d3-4c03-8a8a-73256127b365 · outbound

This paper cites image-net.

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features image-net

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:44:59.672822Z

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.

Pith citing papers

No inbound Pith citation observations are available.