Paper Citation Record · LEDGER

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables

As of 16 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:1908.08996.

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

pith.paper-citation-record.v1
1908.08996 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:30:57.143861Z

measured 25 of 25 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:30:57.046892Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T13:30:57.195816Z

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy20
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c06dd428-0ad7-4a36-ad70-bdd0e3ebe740 · outbound

This paper cites Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:30:57.202043Z

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 07b7d672-5d4e-4c6a-87a1-491f00774025 · outbound

This paper cites Deep Learning on 3D Point Cloud PointNet [1] is the pioneer to apply deep neural networks to directly process unordered point clouds.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Deep Learning on 3D Point Cloud PointNet [1] is the pioneer to apply deep neural networks to directly process unordered point clouds

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.427162Z

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 38f64fe0-3991-4709-a82b-6c71c5b4b680 · outbound

This paper cites 𝒉𝟏𝟎𝟐𝟒 𝒙𝟐 …… …… …… 𝒉𝟏 𝒙𝒏 𝒉𝟐 𝒙𝒏.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables 𝒉𝟏𝟎𝟐𝟒 𝒙𝟐 …… …… …… 𝒉𝟏 𝒙𝒏 𝒉𝟐 𝒙𝒏

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.415623Z

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 aed07b1b-160c-4789-aa7e-5fbf2f3eb514 · outbound

This paper cites However, it still gains impressive results on 3D vision tasks.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables However, it still gains impressive results on 3D vision tasks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.404559Z

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 5cacb5a5-8985-4ba8-bae8-6157e593417f · outbound

This paper cites Next, we compare our method with a number of state-of-the-art meth- ods on different benchmark datasets for 3D object classiﬁca- tion and retrieval tasks.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Next, we compare our method with a number of state-of-the-art meth- ods on different benchmark datasets for 3D object classiﬁca- tion and retrieval tasks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.394571Z

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 b1815561-119a-45a0-9c12-88b94f3e4a7a · outbound

This paper cites It is not applicable for recently proposed deep architectures such as DGCNN [3] and SO-Net [4].

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables It is not applicable for recently proposed deep architectures such as DGCNN [3] and SO-Net [4]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.383327Z

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 e1055749-3a92-4f87-90f3-2721e0a6e655 · outbound

This paper cites This architecture implements a deep function from a set of 3-variable functions by max pooling operation.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables This architecture implements a deep function from a set of 3-variable functions by max pooling operation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.372037Z

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 9e0d3e8e-9d85-441b-acc6-8d24b1993391 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Pointnet: Deep learning on point sets for 3d classiﬁcation and segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.361066Z

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 0095d906-356f-4745-b368-46a794be145d · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.350903Z

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 e05b89c2-ca98-45c8-9dc2-81aa1f8c5f12 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Dynamic Graph CNN for Learning on Point Clouds

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:57.090300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363f602a-298f-4082-80f3-05bc054d8222 · outbound

This paper cites So-net: Self-organizing network for point cloud analysis,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables So-net: Self-organizing network for point cloud analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.339841Z

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 e2c97e2d-49a0-4eb4-87f6-43d4db5a0d29 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:57.098704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4806af-16cb-4886-bc90-af0a6e9b4baf · outbound

This paper cites Exploiting linear structure within convolutional networks for efﬁcient evaluation,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Exploiting linear structure within convolutional networks for efﬁcient evaluation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.328964Z

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 753220c0-d0b0-4529-8e00-5c5cfe2c418c · outbound

This paper cites Do deep nets really need to be deep?,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Do deep nets really need to be deep?,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:57.105999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6385140f-14ae-4409-ab75-17bd0a067a60 · outbound

This paper cites Exploiting the panorama representation for convolutional neural network classiﬁcation and re- trieval,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Exploiting the panorama representation for convolutional neural network classiﬁcation and re- trieval,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.311772Z

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 8a1d29aa-d2af-467d-9401-ae4a977616c8 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Deeppano: Deep panoramic representation for 3- d shape recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.301001Z

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 da02c226-bf7c-4103-99c1-d8d14f67da01 · outbound

This paper cites Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Pvnet: A joint convolutional network of point cloud and multi-view for 3d shape recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.291074Z

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 d16ea760-c7b3-4711-bf19-8b4e60a65aaf · outbound

This paper cites Seqviews2seqlabels: Learn- ing 3d global features via aggregating sequential views by rnn with attention,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Seqviews2seqlabels: Learn- ing 3d global features via aggregating sequential views by rnn with attention,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.280083Z

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 c81ea765-9f13-4322-b3d9-e301489dc8f2 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Ensemble of panorama-based convolu- tional neural networks for 3d model classiﬁcation and retrieval,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.269876Z

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 b92cb28d-ec3f-4c8c-8126-014d445a65a5 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Gift: A real-time and scalable 3d shape search engine,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.258715Z

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 26b57bcc-3833-4e9e-bdf8-30b62165f2e7 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables 3d shapenets: A deep representation for volumetric shapes,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.247490Z

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 8fb134d3-3d11-42e2-9b37-661deeaa01c6 · outbound

This paper cites Shrec16 track large-scale 3d shape retrieval from shapenet core55,.

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Shrec16 track large-scale 3d shape retrieval from shapenet core55,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.236745Z

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 39345022-96ba-46f7-b80e-e4dee0de9833 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.225367Z

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 3047b9d8-f264-4881-9424-432f321a3629 · outbound

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

Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables Multi-view convolutional neural networks for 3d shape recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:30:57.213968Z

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

Observation c06dd428-0ad7-4a36-ad70-bdd0e3ebe740 · inbound