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Paper Citation Record · LEDGER

Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13609.

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

pith.paper-citation-record.v1
2405.13609 v3

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:27:05.739836Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:26:22.767339Z

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 6949d95d-f2ee-49b2-a8dc-0335436384d1 · inbound

Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning cites this paper.

Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T19:27:05.739836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:27:05.739836Z digest=sha256:fe9a0b18f8246b5695280090f4cc859c813f4e73233e283dc4ee1d1843437136

Observation 41ba45b0-3e7a-4c98-a3f9-2f75d193aff2 · inbound

Recursive Reward Aggregation cites this paper.

Recursive Reward Aggregation Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning

Reference 60

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:26:22.777786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T18:26:21.017273Z digest=sha256:af493e74229611e3905293ec77c2886e4ab570eb3ce486e431d35f2e1c56a761