Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2209.13042.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:55.916831Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T15:37:05.793312Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 5492b940-30ef-4d22-9f15-2ca77d1b0b83 · inbound
Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc0201d5-d5c1-48df-9d13-dfb222d8337d · inbound
RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c16cee2-1899-4b26-ad14-2bd330bd1bca · inbound
Universal Visuo-Tactile Video Understanding for Embodied Interaction Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2609da5b-2dcb-4b28-a8b8-6ad6c880c810 · inbound
Tactile MNIST: Benchmarking Active Tactile Perception Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ed7388f-1502-4e34-a916-254c4ab1ec05 · inbound
ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c070a829-0b83-4839-9333-f6a0329afe63 · inbound
Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76f25e6c-b7a8-42c5-aeab-2a6250d13850 · inbound
Heterogeneous Tactile Transformer Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a5145366-09a0-4d3d-8942-630e2ee6f84e · inbound
UniTac: A Unified Multimodal Model for Cross-Sensor Tactile Understanding and Generation Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 37f76a58-528f-410a-ad1a-43d781a8a5c4 · inbound
Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 28119619-0b4b-4581-901b-b61c11f2e116 · inbound
{\tau}: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.