Paper Citation Record · LEDGER

Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2504.12680.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.12680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:55.325321Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T16:44:56.139813Z

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 d4991073-4a1e-459d-b9e1-e518b5978064 · inbound

Grounded Reinforcement Learning for Visual Reasoning cites this paper.

Grounded Reinforcement Learning for Visual Reasoning Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:05:51.943101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8255853-9ede-4b5b-9f65-bccd1a7f112c · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 174

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:28:16.095693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8b38c7ab-17d2-4844-a4f2-1ea55a63ad60 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 224

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:55.325321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 161197a5-3db9-4809-80bc-9f4ca3b81bd3 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 247

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:47.826046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22327a01-eece-4fc6-af32-7ed85d8da5b0 · inbound

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models cites this paper.

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:10:48.935134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ee42fed-5050-4d55-bee3-a03fc5841317 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.479628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7565c15e-12b9-4518-84f2-76a0de510bf1 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.728770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 832e38fb-5d62-4e6d-b473-4fe0364d6fce · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:17.141695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10a4d32a-b473-487d-9e5c-56285249f75c · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.870114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57042a1d-71f5-4556-93d2-02f5f7e62e6d · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:15:22.755445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d13a77b8-cd58-4f65-b461-274a47f11461 · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.141303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.