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 9 inbound Pith citation observations for arXiv:2412.05268.
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 2026-08-06T23:51:05.402554Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:40:01.069980Z
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 31347ab5-89e4-4054-9245-a85a0314e0e4 · inbound
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e5669af-b5f3-478b-858e-9fcf8a1d8a7a · inbound
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 138
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 6cd68ccc-db0e-407b-82f7-26af3da40de1 · inbound
Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
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 7cb25555-bcec-4973-b0cf-5b91531cb6c7 · inbound
IGen: Scalable Data Generation for Robot Learning from Open-World Images DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 79
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 2dc9fe79-affb-4e1e-94ae-5529aefebe7a · inbound
AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 39
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 e434bea8-e760-462c-b2aa-6de002330e4a · inbound
AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 402a4108-1848-474f-bacd-e3e64d1c6b4c · inbound
SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 79
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 09802c85-84ac-4eec-89ad-d934f6feca77 · inbound
GRAFT: Graph-Based Affordance Transfer via Part Correspondence DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 31
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 ec17ba3c-0a22-43e8-9e8c-1e1873380023 · inbound
MeshFM: 2D Features Are All You Need for 3D Shape Understanding DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.