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Paper Citation Record · LEDGER

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1610.00633.

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

pith.paper-citation-record.v1
1610.00633 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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:40:30.012327Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T12:35:48.949528Z

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 f2bb4fbc-724c-4faa-886f-dd4769f31b65 · inbound

On Training Flexible Robots using Deep Reinforcement Learning cites this paper.

On Training Flexible Robots using Deep Reinforcement Learning Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-25T12:35:48.952311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-25T12:32:26.414622Z digest=sha256:04fd119a1f91d2e7a74a90b036cea3c64d2c674a5fd1711babe44a8e6b38cf48

Observation 740f9019-4ef6-4b26-b3a2-255270d2b926 · inbound

Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning cites this paper.

Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T18:45:46.111219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T18:43:44.577223Z digest=sha256:147539075fd52c6766ec88173e1d3cad477fef84ab3cb1bbe86fa6b636951d1a

Observation 04e1cf26-ce8f-44e2-80af-7623b67ef145 · inbound

SUSD: Structured Unsupervised Skill Discovery through State Factorization cites this paper.

SUSD: Structured Unsupervised Skill Discovery through State Factorization Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T05:40:30.012327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:40:30.012327Z digest=sha256:19e356c92306041807ac1e03117f539f8911e30bc4af0fa209685afcd5251289

Observation bc52245d-879a-4ef3-aa7c-a8a00b84656a · inbound

E$^2$DT: Efficient and Effective Decision Transformer with Experience-Aware Sampling for Robotic Manipulation cites this paper.

E$^2$DT: Efficient and Effective Decision Transformer with Experience-Aware Sampling for Robotic Manipulation Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:06.212165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T20:16:59.195886Z digest=sha256:f5dd9c19b83a4cebe59cce0f5a342fad3df295829e8aa0d17a85f559b7954599