Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.16408.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:15:37.898762Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:58:02.795943Z
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 7b7df35c-fe36-4059-9780-5a02fcc415d4 · inbound
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion cites this paper.
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:15:37.898762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba890625-a740-4b0c-939e-bbc6f9bb3bf2 · inbound
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics cites this paper.
Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:27:34.094244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5c99266-a7ec-49e3-a915-455d64dbd2a9 · inbound
TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance cites this paper.
TouchGuide: Inference-Time Steering of Visuomotor Policies via Touch Guidance RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:07:47.844762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 179c8cdf-9a88-4b3c-879e-4fa1984ea007 · inbound
Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation cites this paper.
Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:20:48.169390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e6959471-2d16-402d-bb64-101ee56f2a7f · inbound
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation cites this paper.
ComSim: Building Scalable Real-World Robot Data Generation via Compositional Simulation RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:11:01.554080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 58118300-b839-4e23-a34b-b2f7174d221b · inbound
MultiWorld: Scalable Multi-Agent Multi-View Video World Models cites this paper.
MultiWorld: Scalable Multi-Agent Multi-View Video World Models RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T10:09:08.197128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c8c42eb3-de11-4ba8-ae44-72d02d4eedc3 · inbound
ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.
ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:27:22.609663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 94e27aa7-8501-4848-b83f-91369216cb5c · inbound
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application cites this paper.
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:58:02.797706Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1514e18b-6d35-40c6-8d5e-d741bdf7a85e · inbound
When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents cites this paper.
When Replanning Becomes the Bottleneck: Budgeted Replanning for Embodied Agents RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:18:37.090907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.