Paper Citation Record · LEDGER

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.07851.

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

pith.paper-citation-record.v1
1806.07851 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:39:49.154775Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

101
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d6b0c4f7-f55a-4334-a643-3297da8d078a · inbound

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real cites this paper.

Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T13:39:49.154775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f21ddd97-616a-4e89-a884-e6e1f03f6f0a · inbound

Toward Sim-to-Real Directional Semantic Grasping cites this paper.

Toward Sim-to-Real Directional Semantic Grasping Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T05:04:27.430206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9034bf7c-b577-43f5-84d7-abdd8febf153 · inbound

Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models cites this paper.

Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:06:20.121470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae596c74-c3b5-4f91-a2b0-3039872bd519 · inbound

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation cites this paper.

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:06:20.121470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.