Paper Citation Record · LEDGER

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

As of 14 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2011.07215.

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

pith.paper-citation-record.v1
2011.07215 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-13T06:30:06.624239+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:46:04.923901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:23:44.523104Z

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 2d858840-a37e-4207-9818-9c5e328f060c · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:51:56.008128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 4cde6fce-74e2-488f-b077-e5b51c11039d · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:17.944444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 403b8cfb-07ef-49be-a648-faece0d6233d · inbound

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation cites this paper.

GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:23:44.524763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 39d46dc5-fcb3-4556-89c4-d08af659fe35 · inbound

SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects cites this paper.

SoftVTBench: A Safety-Aware Visuo-Tactile Benchmark for Physically Constrained Robotic Manipulation of Deformable Objects SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T20:46:04.923901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.