Paper Citation Record · LEDGER

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1702.04405.

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

pith.paper-citation-record.v1
1702.04405 v2

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 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T06:18:55.390406Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T02:04:26.434852Z

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 fdfa6a03-e8dd-44ef-9f7a-ad7313088b19 · inbound

A review on deep learning techniques for 3D sensed data classification cites this paper.

A review on deep learning techniques for 3D sensed data classification ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:45:09.221521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81a51e40-01a8-47a2-99c2-1337096b1889 · inbound

UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks cites this paper.

UpstreamQA: A Modular Framework for Explicit Reasoning on Video Question Answering Tasks ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:13.072973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed1ce80d-7b07-43e6-8a91-1804b6dbd8b6 · inbound

EPIC-Bench: A Perception-Centric Benchmark for Fine-Grained Embodied Visual Grounding in Vision-Language Models cites this paper.

EPIC-Bench: A Perception-Centric Benchmark for Fine-Grained Embodied Visual Grounding in Vision-Language Models ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T15:48:31.858266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ca39b7a-7fda-4040-a28d-dd5e42dd07d9 · inbound

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching cites this paper.

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-22T08:51:18.457512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07ec1fb6-7fd6-4f81-8812-a23afa29a50e · inbound

Vision as Unified Multimodal Generation cites this paper.

Vision as Unified Multimodal Generation ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T02:04:26.436129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73be24a9-83ac-4031-ad7d-156ba7bc1a68 · inbound

Data Pyramid for Embodied Manipulation cites this paper.

Data Pyramid for Embodied Manipulation ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-31T06:18:55.390406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.