Paper Citation Record · LEDGER

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks

As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.05389.

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

pith.paper-citation-record.v1
1908.05389 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:18:43.328780Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99014e91-6f7f-49b0-aa4c-bca7350ddde1 · outbound

This paper cites Linknet: Exploiting encoder represen- tations for efﬁcient semantic segmentation,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Linknet: Exploiting encoder represen- tations for efﬁcient semantic segmentation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.761222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c23e383d-9da5-4683-a2cf-fe80252665e0 · outbound

This paper cites Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:42.762385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0eeef5-793c-4fdf-82cf-68116fca9042 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.637321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a14bdb0-620d-4d5e-9d01-9f0ad758d501 · outbound

This paper cites Sketch- based modeling,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Sketch- based modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.624396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1228e3c3-c6ec-46c9-8dd3-c043cf226f00 · outbound

This paper cites Sketch-based image retrieval: Benchmark and bag-of-features descriptors,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Sketch-based image retrieval: Benchmark and bag-of-features descriptors,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.540024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 232c2469-433e-4d40-a8c5-fcc8cf3c76dd · outbound

This paper cites A Neural Representation of Sketch Drawings.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks A Neural Representation of Sketch Drawings

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:42.781291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4f73ca-793f-4717-b93b-35a7280137a9 · outbound

This paper cites Deep residual learning for image recognition,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Deep residual learning for image recognition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:42.786193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c44b424-9323-4aec-b1e7-604adf689e2a · outbound

This paper cites Data-driven segmentation and labeling of freehand sketches,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Data-driven segmentation and labeling of freehand sketches,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.458075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d59bd8d4-9977-4c41-b1aa-13c412cc4ec9 · outbound

This paper cites Spatial transformer networks,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Spatial transformer networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.444990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8bc5da99-33c2-49f6-8740-f10a2bea307e · outbound

This paper cites A curvature estimation for pen input seg- mentation in sketch-based modeling,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks A curvature estimation for pen input seg- mentation in sketch-based modeling,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.300349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4bad32e6-56a9-43bc-8af0-3c1b9cfb71fb · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Imagenet classiﬁcation with deep convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.287087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db64a20e-e8d9-421a-8cf9-ad26d671a7ae · outbound

This paper cites Multi-view pairwise relationship learning for sketch based 3d shape retrieval,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Multi-view pairwise relationship learning for sketch based 3d shape retrieval,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.196115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8f347c5-2e62-4fe6-8b9c-855d4a0c11ac · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Fully convolutional networks for semantic segmentation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.001086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b99966d-42f4-4af3-801d-c7f2a1b88297 · outbound

This paper cites Automated freehand sketch segmentation using radial basis functions,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Automated freehand sketch segmentation using radial basis functions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.121621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6aa2b016-a0aa-498a-a2f3-febe3f398f2f · outbound

This paper cites Enhancing sketch- based image retrieval by re-ranking and relevance feedback,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Enhancing sketch- based image retrieval by re-ranking and relevance feedback,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:44.052887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4503fd0-3b12-4fa7-9667-4ec64d0f2798 · outbound

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

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks U-net: Convolutional networks for biomedical image segmentation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.014473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427b8727-1dbe-42f6-bd6c-7a5e80aa1d4b · outbound

This paper cites Image classiﬁca- tion with the ﬁsher vector: Theory and practice,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Image classiﬁca- tion with the ﬁsher vector: Theory and practice,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.980320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdd410a0-2678-4dfd-8cb2-f7ad5c25bcdd · outbound

This paper cites Example-based sketch segmentation and labeling using crfs,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Example-based sketch segmentation and labeling using crfs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.967877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 479b8e9e-f503-48b4-b493-966d2073d740 · outbound

This paper cites Sketch based interfaces: early processing for sketch understanding,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Sketch based interfaces: early processing for sketch understanding,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.956183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a81af64-96f8-4c10-a653-4dbdd7b528a0 · outbound

This paper cites Automatic instrument segmentation in robot-assisted surgery using deep learning,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Automatic instrument segmentation in robot-assisted surgery using deep learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.155923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c073a98-b863-4ac1-8a5c-960c52941045 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.160207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2858a10-5a32-4072-8136-0c2295b3a7ef · outbound

This paper cites Deep spatial-semantic attention for ﬁne-grained sketch-based image retrieval.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Deep spatial-semantic attention for ﬁne-grained sketch-based image retrieval

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.838479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 407d8c5c-3b24-4f09-8388-5d0ab381a2c7 · outbound

This paper cites Free hand-drawn sketch segmentation,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Free hand-drawn sketch segmentation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.824915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9001eda-7a3d-438e-9b56-be54ce7f7e4c · outbound

This paper cites Going deeper with convolutions,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Going deeper with convolutions,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.214434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94dac315-8e3a-4b43-9937-1e7c0dbd4aad · outbound

This paper cites Multi-column Point-CNN for Sketch Segmentation.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Multi-column Point-CNN for Sketch Segmentation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:18:43.475047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e209d2aa-5e60-461d-afad-14169d51f01a · outbound

This paper cites Data-driven method for sketch-based 3d shape retrieval based on user similar draw-style recommendation,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Data-driven method for sketch-based 3d shape retrieval based on user similar draw-style recommendation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.656061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be2bbed6-8454-455d-b20b-5ec27ab06303 · outbound

This paper cites Sketchsegnet: A rnn model for labeling sketch strokes,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Sketchsegnet: A rnn model for labeling sketch strokes,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.641935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eceacea7-fba2-4b5f-a7da-9632115860bb · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Multi-Scale Context Aggregation by Dilated Convolutions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T13:18:43.325008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba41131-1f38-4823-97cd-feab419bcfc8 · outbound

This paper cites Pyramid scene parsing network,.

SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks Pyramid scene parsing network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:18:43.583632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.