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Paper Citation Record · LEDGER

ObitoNet: Multimodal High-Resolution Point Cloud Reconstruction

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:062bf30a4fd0b4e2b86528f41d43f03d00722ee1744fb0c8b5fdddbba9c4034b

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=sha256:049e3a71227fc9849a2679e7d88cd8d858889beea0d4eb38acef8d9dc9f54125

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:d28cf145bf429800b82591510fa47426312f407db9e198f3cea9dda1f65af65d

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=sha256:90259a46e6f9e0c75539af857fb0360278b3400d1829b413bfd5cfd5d5c4acb1

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=sha256:3298f389556c488f57d563c7221a07d4e51df24935837a48f016dd250194be0e

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=sha256:44715595589ba487e079cadc3ef4f18a224ad598eef381239aa9bb410df25ce3

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:e8929bda9303e66a7ba66ce3561d6df48c2c0030bfc1ef558d1df2733312963f

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:d59a120a1cfb0de7a51071f296690291276e05287c761d99236e14544292381f

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:a7a822e3a1c5f9e59b56b371902589780b213ff02efa216667eb0b7b10a038ed

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:c1f244aedc22047a6abce8401355bae416a3dd65fe8231dfb3d2cc6336608a2e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T04:32:10.779086Z digest=sha256:e0812e8c944b2fafaefa27f568621a30cd91631c9399f3702c5b13da97bd49e7

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=sha256:6fcab16bf38983d4212b71645c227544e1bd1c6d8aeff6c51bb185c720be96ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T04:32:10.787325Z digest=sha256:520d6bea44fcf0e850e9ce9a677b81f147b90dd999f2eb55cf1c22b2c7816c65

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:a08e38b0b66f293ae9d7b82f017d4eb959ab43ffdd42b2962ae6093885730f0d

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=sha256:0b8e06fa1abdb6d708da8ebeb7dc7a55e984933f803daa5c5dd9af1107dc7eae

Pith citing papers

No inbound Pith citation observations are available.