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Paper Citation Record · LEDGER

Sonata: Self-Supervised Learning of Reliable Point Representations

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.16429.

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

pith.paper-citation-record.v1
2503.16429 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:39.542243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:45:45.341940Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eb07351c-0365-459b-90b6-dab358f1264c · inbound

ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models cites this paper.

ImLPR: Image-based LiDAR Place Recognition using Vision Foundation Models Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:39.542243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:39.542243Z digest=sha256:dd319a8b6956101da78b1373faf90da73a0da6faadd6eb6f270f462e77e50255

Observation 915eb266-3c54-4f3d-91af-93d19820c217 · inbound

Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems cites this paper.

Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:47:28.219678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:47:28.219678Z digest=sha256:5c9af0be3d8bf771a29f7a3689331d56a9f853c11ecbe48cfb97b9c156675657

Observation 3419aad8-57e4-4933-89cc-9e346c230d87 · inbound

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation cites this paper.

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T11:30:48.510923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:30:48.510923Z digest=sha256:d57822517cc1dfc8b88bfe3c8b12c69dbb3f5de63660434de53532450ffccdd3

Observation 641e7dd0-04ff-454a-a12d-299eec83cfd6 · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:34.126702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T19:15:57.936114Z digest=sha256:2364f077120dcb29f702bff8445453ba4f0930189257cd00611e06fb6e1e368f

Observation dd446b7b-bf91-45a2-b42e-71ab9c3c9a2c · inbound

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments cites this paper.

From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environments Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:51:21.662923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T09:50:31.499822Z digest=sha256:c2e110c875fb9966bd063e1fa049ab208c4bc07f19646d7e3b014ea751809788

Observation a2634f68-9dbb-4b71-b000-dbcde270b8eb · inbound

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception cites this paper.

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:43.118818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T03:59:25.546955Z digest=sha256:44bf45ddcd8d003c8700502c0403b190156a872d241964a61acd5a0d2084d485

Observation c3af5c1c-8f65-4df4-b406-eca0f7a29b14 · inbound

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception cites this paper.

StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:45:45.343566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T22:53:19.163233Z digest=sha256:39ab64ca2f7ee120ec15ed88fa7baee96ae3d63c8ffbdb486ed71feb9512acf5

Observation 0298cad7-4a47-4489-9e56-8fe633b800ec · inbound

ESAM++: Efficient Online 3D Perception on the Edge cites this paper.

ESAM++: Efficient Online 3D Perception on the Edge Sonata: Self-Supervised Learning of Reliable Point Representations

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:53:15.921779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T08:49:55.148028Z digest=sha256:7264f7baca5b9fc560f9d1286e3643dadfe6b3d0322653b9aff66a9ea5f5e417