Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.17894.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:53.400137Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:49:19.054002Z
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 9b78a31c-1334-42d7-b5b8-afcd2d8f69da · inbound
Foundation Model Driven Robotics: A Comprehensive Review cites this paper.
Foundation Model Driven Robotics: A Comprehensive Review FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:43:53.400137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f7f5b2-8b40-4779-bfe8-74d39fa88720 · inbound
RoboBenchMart: Benchmarking Robots in Retail Environment cites this paper.
RoboBenchMart: Benchmarking Robots in Retail Environment FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:29:58.815343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6587ab8-ec82-4b52-8e26-0b81115a06ec · inbound
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models cites this paper.
Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:49:19.056187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.