Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.14025.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:21:49.574221Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:58:58.211841Z
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 26d3e72f-732e-40dd-b429-9dddf4ea17f6 · inbound
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation cites this paper.
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:38:00.735635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2641f43a-6fc5-41f5-b9e7-8a8285eb3128 · inbound
Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant cites this paper.
Auto-SLURP: A Benchmark Dataset for Evaluating Multi-Agent Frameworks in Smart Personal Assistant The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:21:49.574221Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c9816f3-af4c-4d64-ac27-b72c6b623565 · inbound
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models cites this paper.
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T13:07:18.099928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ae364da5-d9c3-4375-9ec4-a081684b1353 · inbound
MagicSim: A Unified Infrastructure for Executable Embodied Interaction cites this paper.
MagicSim: A Unified Infrastructure for Executable Embodied Interaction The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Reference 107
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:58:58.213484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.