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Paper Citation Record · LEDGER

Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.04996.

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

pith.paper-citation-record.v1
1803.04996 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:47:19.267793Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:06:01.248453Z

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 72e47526-2578-40be-b9a1-788a320b279b · inbound

Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies cites this paper.

Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T23:47:19.267793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:47:19.267793Z digest=sha256:bbcf9b40261f71c565cd3dd9fa1722d740b1d2c9f1f879f3a18ca90d65628557

Observation f8d0bd7c-cf78-4f95-80f3-b1ed3b7d8bb4 · inbound

One Interface, Many Robots: Unified Real-Time Low-Level Motion Planning for Collaborative Arms cites this paper.

One Interface, Many Robots: Unified Real-Time Low-Level Motion Planning for Collaborative Arms Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:21:51.647895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:48:55.299651Z digest=sha256:cf7db93e21ad2ade37e47005d4b15c9e0f4e10cdf17c2d45908670741a821258