Pith. sign in

Paper Citation Record · LEDGER

The Utility of Sparse Representations for Control in Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.06626.

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

pith.paper-citation-record.v1
1811.06626 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:18:08.705779Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T07:22:43.354835Z

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 59713e3b-51cf-40ce-bd0f-ed2124ed25a3 · inbound

Learning sparse representations in reinforcement learning cites this paper.

Learning sparse representations in reinforcement learning The Utility of Sparse Representations for Control in Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T05:18:08.705779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:18:08.705779Z digest=sha256:268ae0cfbef9898747a857e056e3af9e410241928a31ba2853978f5bfba40a1b

Observation 857466f3-50d2-4c96-b73e-1ee149f6e565 · inbound

Optimal Control with Natural Images: Efficient Reinforcement Learning using Overcomplete Sparse Codes cites this paper.

Optimal Control with Natural Images: Efficient Reinforcement Learning using Overcomplete Sparse Codes The Utility of Sparse Representations for Control in Reinforcement Learning

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-23T07:22:43.357401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T07:19:39.231145Z digest=sha256:3bb4734292be7845f2f3bb3bd6e6d25d5c3c9801687540c8947d7a10812f0a8c