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Paper Citation Record · LEDGER

View N-gram Network for 3D Object Retrieval

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:1908.01958.

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

pith.paper-citation-record.v1
1908.01958 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:02:06.628790Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

56 of 56 outbound references displayed

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  • verified fuzzy49
  • unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41fc94c9-2beb-4e47-bc13-f7af37f88f93 · outbound

This paper cites Layer Normalization.

View N-gram Network for 3D Object Retrieval Layer Normalization

Reference 1

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation be835883-1fb1-415d-88ae-1e5a668b5065 · outbound

This paper cites Gift: A real-time and scalable 3d shape search engine.

View N-gram Network for 3D Object Retrieval Gift: A real-time and scalable 3d shape search engine

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 29722c81-cfd7-4f0d-a608-00d5c8e9c736 · outbound

This paper cites Re-ranking via metric fusion for object retrieval and per- son re-identification.

View N-gram Network for 3D Object Retrieval Re-ranking via metric fusion for object retrieval and per- son re-identification

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e51302b-d8ea-40f3-85f0-6e95837e95a0 · outbound

This paper cites Ensemble diffusion for retrieval.

View N-gram Network for 3D Object Retrieval Ensemble diffusion for retrieval

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d1600e86-0b07-4525-bc3d-f54fa15e8c0b · outbound

This paper cites Shape con- text: A new descriptor for shape matching and object recog- nition.

View N-gram Network for 3D Object Retrieval Shape con- text: A new descriptor for shape matching and object recog- nition

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e6038d24-ba40-4e2d-862f-bfc8253271b3 · outbound

This paper cites 3d medical objects retrieval approach using spharms descriptor and network flow as sim- ilarity measure.

View N-gram Network for 3D Object Retrieval 3d medical objects retrieval approach using spharms descriptor and network flow as sim- ilarity measure

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ceddeb34-a0ea-496d-8304-06242bff9de2 · outbound

This paper cites Bronstein, Michael M.

View N-gram Network for 3D Object Retrieval Bronstein, Michael M

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 82d9ff7b-edca-494a-aa3b-ff656325402a · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

View N-gram Network for 3D Object Retrieval ShapeNet: An Information-Rich 3D Model Repository

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T15:02:06.429170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4a08e84-61d5-4584-a2d7-1f9d0e27e604 · outbound

This paper cites Group consistent similarity learning via deep crf for person re-identification.

View N-gram Network for 3D Object Retrieval Group consistent similarity learning via deep crf for person re-identification

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.421073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1ea1b338-41de-47d2-9f20-2b5d1c06a06c · outbound

This paper cites On visual similarity based 3d model retrieval.

View N-gram Network for 3D Object Retrieval On visual similarity based 3d model retrieval

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1e16eaf4-5359-415e-9935-d1e3db783961 · outbound

This paper cites Veram: View-enhanced recurrent attention model for 3d shape classification.

View N-gram Network for 3D Object Retrieval Veram: View-enhanced recurrent attention model for 3d shape classification

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aa914cd1-ce4e-4443-bbca-241198ae20e3 · outbound

This paper cites Siamese cnn-bilstm ar- chitecture for 3d shape representation learning.

View N-gram Network for 3D Object Retrieval Siamese cnn-bilstm ar- chitecture for 3d shape representation learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.376200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9a1dc20f-ead4-497f-a3df-1906ed3b45d2 · outbound

This paper cites 3d deep shape descriptor.

View N-gram Network for 3D Object Retrieval 3d deep shape descriptor

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7cad947a-a682-4b39-b829-4bbbb33eca13 · outbound

This paper cites Gvcnn: Group-view convolutional neural networks for 3d shape recognition.

View N-gram Network for 3D Object Retrieval Gvcnn: Group-view convolutional neural networks for 3d shape recognition

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.346555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d8b620df-0027-4794-abf3-4d48fbcf2d83 · outbound

This paper cites Deep aggregation of local 3d geometric features for 3d model retrieval.

View N-gram Network for 3D Object Retrieval Deep aggregation of local 3d geometric features for 3d model retrieval

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.332180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T15:02:06.457258Z digest=sha256:338046735819f3f4c120efdbe736d34c4caff01e46cb3c95f031f8e975fa0438

Observation da268cad-7573-4af9-92c0-ad844f9ad306 · outbound

This paper cites 3d object retrieval with bag-of-region-words.

View N-gram Network for 3D Object Retrieval 3d object retrieval with bag-of-region-words

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.314724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 487b344e-d099-46e1-9b28-cb5defbf14e6 · outbound

This paper cites Seqviews2seqlabels: Learning 3d global features via aggregating sequential views by rnn with atten- tion.

View N-gram Network for 3D Object Retrieval Seqviews2seqlabels: Learning 3d global features via aggregating sequential views by rnn with atten- tion

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.293848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ba9d68bd-be62-4a97-96bd-ac2dec7f4863 · outbound

This paper cites Deep residual learning for image recognition.

View N-gram Network for 3D Object Retrieval Deep residual learning for image recognition

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.275024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2274716f-40ce-43f1-a609-8f746b1c9973 · outbound

This paper cites Triplet-center loss for multi-view 3d object retrieval.

View N-gram Network for 3D Object Retrieval Triplet-center loss for multi-view 3d object retrieval

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aafe767d-d7f9-42f6-aa67-cd0372bf6992 · outbound

This paper cites Interactive retrieval of 3d virtual shapes using physical objects.

View N-gram Network for 3D Object Retrieval Interactive retrieval of 3d virtual shapes using physical objects

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.248432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 02a130ae-d03c-4b83-8d29-99cbdd7035ba · outbound

This paper cites Deep Structured Output Learning for Unconstrained Text Recognition.

View N-gram Network for 3D Object Retrieval Deep Structured Output Learning for Unconstrained Text Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T15:02:06.481590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f9f62888-cbea-4287-b77c-db3f0cf9adf5 · outbound

This paper cites Exploring the Limits of Language Modeling.

View N-gram Network for 3D Object Retrieval Exploring the Limits of Language Modeling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T15:02:06.485989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:02:06.485989Z digest=sha256:40da3113c5c391d583a359105579cd4c773c50f723e9e5c909b5ec0406e6de06

Observation 790efaf8-1076-43be-91c4-e650850fb6b0 · outbound

This paper cites Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints.

View N-gram Network for 3D Object Retrieval Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints

Reference 23

Resolution
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raw_fallback, observed 2026-08-14T15:02:07.232140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 13457967-0ff8-4d07-98f1-095d4e2ce999 · outbound

This paper cites Rotation invariant spherical harmonic repre- sentation of 3 d shape descriptors.

View N-gram Network for 3D Object Retrieval Rotation invariant spherical harmonic repre- sentation of 3 d shape descriptors

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.217286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ba27918d-2f98-4553-aec0-af8e3893dd58 · outbound

This paper cites Statistical frame- work for model-based image retrieval in medical applica- tions.

View N-gram Network for 3D Object Retrieval Statistical frame- work for model-based image retrieval in medical applica- tions

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.198938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2774ee1f-e201-481e-934b-f2837d271bd1 · outbound

This paper cites Anatomical 2d/3d shape-matching in virtual reality: A user interface for quantifying joint kinematics with radiographic imaging.

View N-gram Network for 3D Object Retrieval Anatomical 2d/3d shape-matching in virtual reality: A user interface for quantifying joint kinematics with radiographic imaging

Reference 26

Resolution
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raw_fallback, observed 2026-08-14T15:02:07.177742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7ef96ae7-1937-4dcc-a6a1-1a4f283e6513 · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

View N-gram Network for 3D Object Retrieval Convolutional Neural Networks for Sentence Classification

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T15:02:06.505927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 427e9f56-841f-419c-9781-7468ffe4f811 · outbound

This paper cites Character-aware neural language models.

View N-gram Network for 3D Object Retrieval Character-aware neural language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.162966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b50c884a-0aa4-4e50-8d44-611896ae6445 · outbound

This paper cites Escape from cells: Deep kd-networks for the recognition of 3d point cloud mod- els.

View N-gram Network for 3D Object Retrieval Escape from cells: Deep kd-networks for the recognition of 3d point cloud mod- els

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.149151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c3dfb4d0-3b1e-42e8-94bc-51389dfbf533 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

View N-gram Network for 3D Object Retrieval Imagenet classification with deep convolutional neural net- works

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.131248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 519b05e7-e939-493c-bb76-21126a0a8ae6 · outbound

This paper cites Learning discriminative 3d shape representations by view discerning networks.

View N-gram Network for 3D Object Retrieval Learning discriminative 3d shape representations by view discerning networks

Reference 31

Resolution
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raw_fallback, observed 2026-08-14T15:02:07.115798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2adb42f7-f112-4735-a61f-67f8e98ee08b · outbound

This paper cites Weighted neural bag-of-n-grams model: New baselines for text classification.

View N-gram Network for 3D Object Retrieval Weighted neural bag-of-n-grams model: New baselines for text classification

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.100852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T15:02:06.527574Z digest=sha256:5e92a5c58e6b705ed80abe083ff6e3564dfe3d9c23de8ed5f6790d48adfda17e

Observation 113a851a-773c-4120-84df-d5da98a24be6 · outbound

This paper cites N-gram-based machine translation.

View N-gram Network for 3D Object Retrieval N-gram-based machine translation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.079136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1893d814-ccdc-4975-a1e9-d0e51d193767 · outbound

This paper cites V oxnet: A 3d con- volutional neural network for real-time object recognition.

View N-gram Network for 3D Object Retrieval V oxnet: A 3d con- volutional neural network for real-time object recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.062043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 19bf74ef-099a-4562-9e69-8f2691f8a3a8 · outbound

This paper cites Automatic differentiation in pytorch.

View N-gram Network for 3D Object Retrieval Automatic differentiation in pytorch

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T15:02:06.539160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f88b121-4053-4bc2-b015-ae4a09b5f2c5 · outbound

This paper cites Cnn-n-gram for handwriting word recognition.

View N-gram Network for 3D Object Retrieval Cnn-n-gram for handwriting word recognition

Reference 36

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation aea7c94a-e2b1-484a-b67d-cba21feb41e9 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

View N-gram Network for 3D Object Retrieval Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2cc9edc6-22de-4fc0-8a94-85870bcadf88 · outbound

This paper cites V olumetric and multi-view cnns for object classification on 3d data.

View N-gram Network for 3D Object Retrieval V olumetric and multi-view cnns for object classification on 3d data

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-14T15:02:07.009200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 53bbc235-8b17-49b3-be7c-ef25a1d23452 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

View N-gram Network for 3D Object Retrieval Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 39

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f030094b-c27d-4491-b379-cb2c764b541a · outbound

This paper cites Discrimi- native n-gram language modeling.

View N-gram Network for 3D Object Retrieval Discrimi- native n-gram language modeling

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c298c7ff-548b-4cc2-af90-36584377ddf5 · outbound

This paper cites Imagenet large scale visual recognition challenge.

View N-gram Network for 3D Object Retrieval Imagenet large scale visual recognition challenge

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 239e6212-049e-4aa6-ae48-d52970ca7487 · outbound

This paper cites Shrec16 track: largescale 3d shape retrieval from shapenet core55.

View N-gram Network for 3D Object Retrieval Shrec16 track: largescale 3d shape retrieval from shapenet core55

Reference 42

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 730b318e-da02-46d3-afe3-27073125a307 · outbound

This paper cites Ensemble of panorama-based convolutional neural networks for 3d model classification and retrieval.

View N-gram Network for 3D Object Retrieval Ensemble of panorama-based convolutional neural networks for 3d model classification and retrieval

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9896c39b-bad4-4042-972e-85eaeabf1d56 · outbound

This paper cites Deeppano: Deep panoramic representation for 3-d shape recognition.

View N-gram Network for 3D Object Retrieval Deeppano: Deep panoramic representation for 3-d shape recognition

Reference 44

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 67446799-1b14-44eb-8aaf-e12aa159921b · outbound

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

View N-gram Network for 3D Object Retrieval Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 45

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3a438989-6ea1-4264-9415-3ec01a7386ab · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition.

View N-gram Network for 3D Object Retrieval Multi-view convolutional neural networks for 3d shape recognition

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation faa59de7-e191-4496-9dc8-7d6f02168c64 · outbound

This paper cites Going deeper with convolutions.

View N-gram Network for 3D Object Retrieval Going deeper with convolutions

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5b43673e-7ca4-4a8b-9b2a-cba72c3f766e · outbound

This paper cites Outdoors aug- mented reality on mobile phone using loxel-based visual fea- ture organization.

View N-gram Network for 3D Object Retrieval Outdoors aug- mented reality on mobile phone using loxel-based visual fea- ture organization

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4a453a14-22ba-421e-b81c-20bcfa6451d8 · outbound

This paper cites 3d print- ing of cardiac structures from medical images: an overview of methods and interactive tools.

View N-gram Network for 3D Object Retrieval 3d print- ing of cardiac structures from medical images: an overview of methods and interactive tools

Reference 49

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1708cee6-90f0-4a22-bb33-e8670349bc8e · outbound

This paper cites Attention is all you need.

View N-gram Network for 3D Object Retrieval Attention is all you need

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c15dc951-cdbf-4d65-a785-2dd78afd1906 · outbound

This paper cites Dominant set clustering and pooling for multi-view 3d object recogni- tion.

View N-gram Network for 3D Object Retrieval Dominant set clustering and pooling for multi-view 3d object recogni- tion

Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4461ae85-7c6a-4432-8d57-217e98c8fe6a · outbound

This paper cites O-cnn: Octree-based convolutional neu- ral networks for 3d shape analysis.

View N-gram Network for 3D Object Retrieval O-cnn: Octree-based convolutional neu- ral networks for 3d shape analysis

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:06.805169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 52978dee-eb95-464b-be50-e766c5a2b4d1 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

View N-gram Network for 3D Object Retrieval 3d shapenets: A deep representation for volumetric shapes

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:06.790846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3793e3b5-b6c1-41fd-ba39-b5f018087bbd · outbound

This paper cites Deepshape: Deep-learned shape descriptor for 3d shape retrieval.

View N-gram Network for 3D Object Retrieval Deepshape: Deep-learned shape descriptor for 3d shape retrieval

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:06.768907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a4aa60a7-c263-4d7d-b637-1d8dbc95c6cb · outbound

This paper cites Multi-view har- monized bilinear network for 3d object recognition.

View N-gram Network for 3D Object Retrieval Multi-view har- monized bilinear network for 3d object recognition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:02:06.752797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 054694ee-436f-4e40-b5c6-2ae2dd151376 · outbound

This paper cites Semi-supervised 3d ab- dominal multi-organ segmentation via deep multi-planar co- training.

View N-gram Network for 3D Object Retrieval Semi-supervised 3d ab- dominal multi-organ segmentation via deep multi-planar co- training

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-14T15:02:06.736146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.