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Paper Citation Record · LEDGER

ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.10641.

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

pith.paper-citation-record.v1
1911.10641 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:12:46.201951Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:15:43.654901Z

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 ee3c2360-b70b-4919-b144-897334496b9b · inbound

Multi-Agent Environments for Vehicle Routing Problems cites this paper.

Multi-Agent Environments for Vehicle Routing Problems ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:15:43.657649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T17:14:04.287133Z digest=sha256:54dce78f1bad632dd183afbbb4ec4d1d472642aa9bf76843b63c7b7f317851cc

Observation 2479b434-f850-4bf6-b985-c99485db8e00 · inbound

Structure-Informed Deep Reinforcement Learning for Inventory Management cites this paper.

Structure-Informed Deep Reinforcement Learning for Inventory Management ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T12:12:46.201951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:12:46.201951Z digest=sha256:9de82cb8a7245c13625dd131d87fcfc8d8d9c51aa37d93506bab740d36c782b2

Observation a8e3f06b-0c83-499a-bc5e-15f9c49691e8 · inbound

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods cites this paper.

gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T03:02:09.902772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T02:58:48.217000Z digest=sha256:460c4ae361d9ed5265e8139be3800e27a4e7c0eaedf2ae6440a8dbdd0e1baef0