Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.08355.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:15:02.188360Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T22:00:48.947546Z
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 826991bc-f28d-40df-aeae-620be65156ec · inbound
VL-Nav: Neuro-Symbolic Reasoning-based Vision-Language Navigation cites this paper.
VL-Nav: Neuro-Symbolic Reasoning-based Vision-Language Navigation NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:15:02.188360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5e0257f-1f8b-4cf2-8cd8-5c72678b36ee · inbound
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T22:00:48.951644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ebc5d74f-9412-45bf-bf21-187aa30c2eb7 · inbound
Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning cites this paper.
Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:34:16.340462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e361dc-13ac-4eb4-9af4-1dde956d0a3e · inbound
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping cites this paper.
RAGNet: Large-scale Reasoning-based Affordance Segmentation Benchmark towards General Grasping NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:32:25.213163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.