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Paper Citation Record · LEDGER

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.18775.

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

pith.paper-citation-record.v1
2412.18775 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:32:10.795236Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 377231f6-ded5-4f3e-a0b8-b0090e02226f · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.731304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.731304Z digest=sha256:e80ffb6f2652bf0344708ea4ceb681007ea167dd0412c454b223f4e94a717450

Observation 3dd0b7b7-bb4c-48f2-afe6-50fa9ba274c2 · outbound

This paper cites Attention Is All You Need.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Attention Is All You Need

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.736911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.736911Z digest=sha256:1fa12d5064ac9f298439369b561e9c646c728021160050fb32ffeba1ceb3f701

Observation d8ff0a30-f6bb-496f-abef-18153ddda1ba · outbound

This paper cites Masked Autoencoders for Point Cloud Self-supervised Learning.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Masked Autoencoders for Point Cloud Self-supervised Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.741726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.741726Z digest=sha256:8c7b7cab197a76794edfdb0d6b736c680ab79af1beada386b3a368b310f10697

Observation e415a0eb-994b-4669-b4dc-559900a2bb9d · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.745898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.745898Z digest=sha256:572b8684cc6eb04aaa48e26831e0b40b0d9d3ed292c14f8d950c56bb39ec2553

Observation 3d1d75af-e9d6-4a3b-8693-8b584790cd4a · outbound

This paper cites Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.754320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.754320Z digest=sha256:14c3fea39607e5c1bb579cf75785bc49b2545d7ed7c3865840f0956f7d96a74c

Observation 805f8c38-dbfe-4572-bb78-c4689dd82e18 · outbound

This paper cites PCT: Point cloud transformer.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction PCT: Point cloud transformer

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.758475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.758475Z digest=sha256:e160195e4b12b8749605e243f3de16b4b314fd641bbd879f9648ceff2ce6fdff

Observation f1f31ad6-5dc6-4b22-a662-08754bcc5bfe · outbound

This paper cites Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.762647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.762647Z digest=sha256:1d700949fecf57e2cb8fd1583eea4befef417523e7c997d06cd8863dbb405f65

Observation af3ecc2c-77cd-4b9b-be04-74e927096c27 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.766659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.766659Z digest=sha256:c6e7a1ef19e3689baf89230d3e683c5fc6ff06a27ec581cc8fc59d29e1e7949a

Observation de9aadf8-63bd-4b79-a192-c373b6b83054 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.770466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.770466Z digest=sha256:c8f874c5ede68e71e3b17fa9309812a4c113e10c79bba3cae7f46fa148c16d82

Observation 64e9c952-8406-4462-8de2-1d3fd87e407d · outbound

This paper cites LoFTR: Detector-Free Local Feature Matching with Transformers.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction LoFTR: Detector-Free Local Feature Matching with Transformers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.774851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.774851Z digest=sha256:640fb2688591b7b15f733a2ea38d894a4377ee8081cd94e095113e686a9d886c

Observation b19afabc-4025-46e3-9fa4-8a5f68e23661 · outbound

This paper cites KPConv: Flexible and Deformable Convolution for Point Clouds,.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction KPConv: Flexible and Deformable Convolution for Point Clouds,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:32:10.995475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:32:10.779086Z digest=sha256:70ce3bd7811d51318865dfd38924d34d781a433089601231b9f180581855fdf0

Observation 28dee937-5efc-419d-ae8c-454051d4682d · outbound

This paper cites PCN: Point Completion Network.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction PCN: Point Completion Network

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.783286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.783286Z digest=sha256:85d803c13598b2265c9801c08b9ac9b81730f2e77f55a7202eee36a11f80d398

Observation ebb41910-fb18-4001-8365-9288404a7d72 · outbound

This paper cites Observing single-particles beyond the Rindler horizon.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Observing single-particles beyond the Rindler horizon

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T04:32:10.856785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T04:32:10.787325Z digest=sha256:d044fdf2765b429f3ef00b0405b0ee63d57563053c141df6b206261dad31d572

Observation 4dc53c66-68ad-4480-9a1e-024da537aa1b · outbound

This paper cites Multi-view Convolutional Neural Networks for 3D Shape Recognition.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction Multi-view Convolutional Neural Networks for 3D Shape Recognition

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.791426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.791426Z digest=sha256:ef6ef090b61d1d48e4c2ec8347308d889052225041dc3d79317a50b302c71710

Observation 4ddf11af-aa3b-40ea-9756-e02a43495966 · outbound

This paper cites 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks.

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T04:32:10.795236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:32:10.795236Z digest=sha256:cff1aa0553030bf11d158d5e5c8e2e3e7a4bd5364dfdb456958e8fd01a559272

Pith citing papers

No inbound Pith citation observations are available.