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Paper Citation Record · LEDGER

Learning Sparse Representations Incrementally in 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:1912.04002.

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

pith.paper-citation-record.v1
1912.04002 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:09:53.090831Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T11:09:53.290081Z

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 6ef124e3-d861-466a-bdd7-0813c8abde34 · inbound

On the Interplay Between Sparsity and Training in Deep Reinforcement Learning cites this paper.

On the Interplay Between Sparsity and Training in Deep Reinforcement Learning Learning Sparse Representations Incrementally in Deep Reinforcement Learning

Reference 2009

Resolution
verified exact
local_arxiv, observed 2026-08-10T11:09:53.295584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T11:09:53.090831Z digest=sha256:95d0d1e6d7afd612f3c717afdf7dcfb5cb356fef815efa8249b46f669bea16ed

Observation 52d8f243-8dde-4de3-9c9f-e0e7f8e4fca4 · inbound

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents cites this paper.

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents Learning Sparse Representations Incrementally in Deep Reinforcement Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T09:47:58.466503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:47:58.466503Z digest=sha256:97bcd01749017fef9074158fae324591dfcd083ba910aa8636ee8cd7e99a4540