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Paper Citation Record · LEDGER

ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.11417.

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

pith.paper-citation-record.v1
2308.11417 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:33:29.148328Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.289648Z

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 0b115cd9-e69b-4682-a300-5b2dc8e599b2 · inbound

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots cites this paper.

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:55.803463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:18:55.803463Z digest=sha256:a87bf5ed96e03a540eeb534aae253f2230527dce629fb37dafc2c510ed441a6a

Observation eb418d7d-5252-42fb-b2fc-f7852fdc5fc7 · inbound

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding cites this paper.

ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:38.750808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:32:38.750808Z digest=sha256:eb9a7c5eeb49d59cc58de44990b97bae7cfd46a87b05f1b9d8cecaf5724cce6b

Observation 8804710b-a39e-4407-b6f7-7a7c515dbff3 · inbound

Discovering and using Spelke segments cites this paper.

Discovering and using Spelke segments ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:25:16.355911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:16.355911Z digest=sha256:32b178bdb7c7e8463d4821419d28cf68f58d7fee0761c2d0d3f58632108c474c

Observation ff7dc2a8-3105-4502-969c-dfbb95d04063 · inbound

TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization cites this paper.

TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:16:09.715789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T15:12:23.459579Z digest=sha256:6a6ba0d0d4858f29de6e0e2d2dfbf1c01d7c8c4fbbe2a270dc684226d581c1b0

Observation 4d2b1151-2037-4147-a05c-c11aa26b582b · inbound

Vision as Unified Multimodal Generation cites this paper.

Vision as Unified Multimodal Generation ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 210

Resolution
verified exact
local_arxiv, observed 2026-07-08T02:04:26.290996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-08T01:54:30.649092Z digest=sha256:533d331e8cefbf66911a252ccb8fe1be0e1809f5a0eefa5db09773aad2f9168e

Observation be2c11c2-5218-40a3-9139-f67c19d73469 · inbound

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models cites this paper.

Multi-View Relational Distillation for Spatial Reasoning with Vision-Language Models ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T15:33:29.148328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:33:29.148328Z digest=sha256:ed209573d5c7b869934788451ace8051d2f39b85352e71a980a977d4181735a7