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Paper Citation Record · LEDGER

D2RL: Deep Dense Architectures in Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2010.09163.

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

pith.paper-citation-record.v1
2010.09163 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:07.861099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:14:46.874555Z

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 3fef00f0-d673-41eb-86b8-904c818345a2 · inbound

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control cites this paper.

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control D2RL: Deep Dense Architectures in Reinforcement Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:31:07.861099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:31:07.861099Z digest=sha256:0010d150c5ecf1c8c9068abfd1beaaf3470690f244339655605a7271fa548fa0

Observation 7bfbc8f4-465a-4d32-8509-a295fe290c3d · inbound

Online Training and Pruning of Deep Reinforcement Learning Networks cites this paper.

Online Training and Pruning of Deep Reinforcement Learning Networks D2RL: Deep Dense Architectures in Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:05:16.163294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:05:16.163294Z digest=sha256:4c4466eeb828179c27eadf430e28b0ba233cecaa6c16df00cb89d75741bf88b9

Observation 329fdb2f-966f-49c2-a43a-4b10527d1881 · inbound

M2I2HA: Multi-modal Object Detection Based on Intra- and Inter-Modal Hypergraph Attention cites this paper.

M2I2HA: Multi-modal Object Detection Based on Intra- and Inter-Modal Hypergraph Attention D2RL: Deep Dense Architectures in Reinforcement Learning

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-03T09:12:17.958637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:12:17.958637Z digest=sha256:65cec92220073acd5ca1ffcef4c577242d8a1c5d11d1e770c7d2dd6d7e9f740e

Observation 9d361f05-cb04-411c-862a-aec1e51a3446 · inbound

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity cites this paper.

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity D2RL: Deep Dense Architectures in Reinforcement Learning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:14:46.875756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T00:11:04.222842Z digest=sha256:cbe570d1d839174b523f15fb0f9c79ab0991379359d6a9771e8406608c1e91e2