Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.05629.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:06:34.196087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7296cf2b-6f46-47ee-a1a2-ead2e9d92cd8 · inbound
I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences cites this paper.
I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:06:34.196087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61c0b4f4-487c-4c44-876a-08718790482f · inbound
LiLMaps: Learnable Implicit Language Maps cites this paper.
LiLMaps: Learnable Implicit Language Maps Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:59:44.546361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbda4d47-6be0-43ae-9b2a-60884b7551c7 · inbound
From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models cites this paper.
From Pixels to Concepts: Growing Rich 3D Semantic Scene Graph Forests utilizing Foundation Models Leveraging Large (Visual) Language Models for Robot 3D Scene Understanding
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T08:19:10.823165Z
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.