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Paper Citation Record · LEDGER

Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.19024.

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

pith.paper-citation-record.v1
2403.19024 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:01.022806Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:47:01.400233Z

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 60d34a64-2e1e-4381-bdbb-98744ed66cad · inbound

Symmetries-enhanced Multi-Agent Reinforcement Learning cites this paper.

Symmetries-enhanced Multi-Agent Reinforcement Learning Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:47:01.405735Z

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=arxiv_source observed=2026-08-10T22:47:01.022806Z digest=sha256:bd830d088a9e00cec3b89b0156bbd8b58f86be4cd04ac5601089d54cbe8735de