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 16 inbound Pith citation observations for arXiv:2407.20179.
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 2026-08-06T23:11:50.078534Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:09:29.580056Z
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 5cec6f46-9634-477d-81a8-74278cc13a85 · inbound
Is an object-centric representation beneficial for robotic manipulation ? Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9cb98dc-1036-4994-8d70-8f919ae0bd3c · inbound
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 10
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 26caf29b-1180-4d8a-aa97-7c020eed7bff · inbound
Dynamic Pattern Alignment Learning for Pretraining Lightweight Human-Centric Vision Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 47
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c575d66-de10-419b-9a9a-87d97cf82a59 · inbound
ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 890b4ed2-661c-42f5-88be-4dcaf068aabd · inbound
RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 34
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 319d9c38-1d2e-40b0-b065-2741b47c2424 · inbound
SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 29
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 72cff02c-9387-4abf-9791-edfbdb9ef77d · inbound
Spotlighting Task-Relevant Features: Object-Centric Representations for Better Generalization in Robotic Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4923df3b-62c9-4fc4-8bfb-0c93c0e8c268 · inbound
ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 9
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 181c552a-0578-4513-8992-5c66a83521f3 · inbound
Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 18
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 5129e6c7-3db3-46b5-a89c-b4c1535e013f · inbound
Elastic Attention Cores for Scalable Vision Transformers Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 19
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 e36865a4-f893-4107-be7b-acd44ab738e4 · inbound
LACE: Latent Visual Representation for Cross-Embodiment Learning Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 42
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 c1c81271-8e74-4de3-a5e8-286af5926ef0 · inbound
PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 11
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 f9a1dc47-02e1-47ac-a0b8-0e32d2a9388e · inbound
Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 43
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 0b1cabc2-4a61-4189-a742-e4820622a1cd · inbound
Action-Effect Memory Pretraining for Robot Manipulation Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 21
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 ba4c843e-e302-4175-beb8-53ae8518e5cb · inbound
UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 40
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 f41f797f-ca3e-441a-9b29-09198ee0bab1 · inbound
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Reference 231
Source-reported events for the cited work
Unavailable: canonical work link unavailable.