Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T22:14:44.542310Z
Paper Citation Record · LEDGER
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2511.11830.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-10T13:13:57.925643Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T13:17:05.961832Z
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved11
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 74b302fc-f3c2-4b0e-9914-acdaa1f64a52 · outbound
This paper cites can-order.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions can-order
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.239532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e6c158b-6434-40db-99b4-c7db9d4b821d · outbound
This paper cites an unresolved cited work.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.988941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e180d17-d54a-47c5-bc36-d17574636ee4 · outbound
This paper cites Can-order policy .A can-order policy is specified by 3dparameters, reorder pointss i, can- order pointso i, and order-up-to levelsS i,i= 1,.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Can-order policy .A can-order policy is specified by 3dparameters, reorder pointss i, can- order pointso i, and order-up-to levelsS i,i= 1,
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:44.490468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 300b3c8c-010b-4c0d-ba5c-583f5e6722ce · outbound
This paper cites Given thatA(X ∗) = 0 andB(X ∗) = 0 a.s., we wish to show thatP(A( ˜X) +B( ˜X)>−w)>0 for anyw >0.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Given thatA(X ∗) = 0 andB(X ∗) = 0 a.s., we wish to show thatP(A( ˜X) +B( ˜X)>−w)>0 for anyw >0
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:44.066331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24063528-d2db-4708-bb16-93b9956334fc · outbound
This paper cites Whenα= 1, we call the corresponding policy the vanilla independent (s, S) policy.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Whenα= 1, we call the corresponding policy the vanilla independent (s, S) policy
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:44.397385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94de0796-ae1e-4561-b046-08eeaf4fd66d · outbound
This paper cites Veinott Jr, A.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Veinott Jr, A
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.680984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 959cb628-4f11-4f4c-aaf8-880554830144 · outbound
This paper cites Zheng, Y.-S.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Zheng, Y.-S
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.830723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c6a7a77-7cf5-487f-9f4c-3e37b8fee0f0 · outbound
This paper cites an unresolved cited work.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Unresolved cited work
Reference 153
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.512987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49536ee6-f95f-4e25-8136-31c565da73d3 · outbound
This paper cites An overview on deep learning-based approximation methods for partial differential equations.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions An overview on deep learning-based approximation methods for partial differential equations
Reference 297
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:43.350901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0eaceadc-a194-4919-808b-fa3c14ab963a · outbound
This paper cites During training, we use learning rates 10 −3, 10−4, and 10−5 consecutively, each for 5000 iterations, to achieve high accuracy.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions During training, we use learning rates 10 −3, 10−4, and 10−5 consecutively, each for 5000 iterations, to achieve high accuracy
Reference 1250
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:44.542310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d7a993f-e8be-44f2-b1e1-199211a97958 · outbound
This paper cites an unresolved cited work.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Unresolved cited work
Reference 2006
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T22:14:44.286234Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ace68c0-23ef-4c80-8bfe-52d748cecd21 · outbound
This paper cites an unresolved cited work.
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions Unresolved cited work
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T22:14:44.179403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 5f0dedff-f2c1-49fa-a686-590092defde0 · inbound
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients cites this paper.
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-29T02:04:58.916214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a8837ee7-dbba-4498-8411-430fc0b0d9ce · inbound
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion cites this paper.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T13:17:05.963082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.