Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:34:16.067949Z
Paper Citation Record · LEDGER
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning
As of 18 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.08109.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact1
- verified fuzzy19
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7995875f-fbee-41bd-8a25-410644076b51 · outbound
This paper cites Optimal ordering, issuance and disposal policies for inventory management of perishable products,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Optimal ordering, issuance and disposal policies for inventory management of perishable products,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.473122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1557d025-0a68-439a-8121-244757c70394 · outbound
This paper cites Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.456898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 04c92d28-b3b2-4b6c-97a8-4ca1456467e8 · outbound
This paper cites Increasing supply chain robustness through process flexibility and inventory,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Increasing supply chain robustness through process flexibility and inventory,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.437735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f5168519-5d7a-4ef1-9072-305afb6130f4 · outbound
This paper cites an unresolved cited work.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:34:16.420303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bdb0e83c-f9b1-4f69-bfaa-6810ac09b9ff · outbound
This paper cites Inventory management in supply chains: a reinforcement learning approach,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Inventory management in supply chains: a reinforcement learning approach,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.405301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 383f1c1b-1bbb-416c-8115-f00e8abe0786 · outbound
This paper cites Global supply chain management: a reinforcement learning approach,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Global supply chain management: a reinforcement learning approach,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.390881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6ad26bd8-fd7b-4216-9e0b-442ad3e3fb1d · outbound
This paper cites Inventory management of new products in retailers using model-based deep reinforcement learning,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Inventory management of new products in retailers using model-based deep reinforcement learning,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.370925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4706c330-27b1-41b8-b8a5-7d15c9769ae9 · outbound
This paper cites Deep reinforcement learning for inventory control: A roadmap,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Deep reinforcement learning for inventory control: A roadmap,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.357700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4de4fad2-1e5c-4afb-9132-faa82b15bf24 · outbound
This paper cites Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:34:16.141926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 954854cc-bb9e-4b4f-be2b-8931bfcbe337 · outbound
This paper cites Dyna, an integrated architecture for learning, planning, and reacting,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Dyna, an integrated architecture for learning, planning, and reacting,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.342970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e426abb-4369-4a04-9b28-eb0dea26cb16 · outbound
This paper cites An improved dyna-q algorithm for mobile robot path planning in unknown dynamic environment,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning An improved dyna-q algorithm for mobile robot path planning in unknown dynamic environment,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.327658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4672f25e-498e-431f-a7a3-8c61e11ba477 · outbound
This paper cites Pseudo dyna-q: A reinforcement learning framework for interactive recommendation,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Pseudo dyna-q: A reinforcement learning framework for interactive recommendation,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.314469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 84b4c097-d190-4430-9681-c4183d8f8c56 · outbound
This paper cites A survey of transfer learning,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning A survey of transfer learning,
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:15.994388Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3615bd0d-7a93-4902-9c5f-31a6cec073e0 · outbound
This paper cites Imitation and transfer q-learning-based parameter identification for composite load modeling,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Imitation and transfer q-learning-based parameter identification for composite load modeling,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.293454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3506d899-3ce6-41be-b58f-8d1b3c2703fb · outbound
This paper cites Target transfer q-learning and its convergence analysis,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Target transfer q-learning and its convergence analysis,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.280093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 278fbc54-bd8a-4a56-b796-1881057871b0 · outbound
This paper cites Transferring models in hybrid reinforcement learning agents,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Transferring models in hybrid reinforcement learning agents,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.266682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e597d587-1d9e-433f-a466-78bec833af87 · outbound
This paper cites q-transfer: A novel framework for efficient deep transfer learning in networking,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning q-transfer: A novel framework for efficient deep transfer learning in networking,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.249961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c5b55b61-cd2a-4d4e-915a-52971a4947e7 · outbound
This paper cites Learning rate schedules for faster stochastic gradient search,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Learning rate schedules for faster stochastic gradient search,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.235003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 89015f1a-1864-4eb2-8dee-7d0146b5d4a2 · outbound
This paper cites Survey of model-based reinforcement learning: Applications on robotics,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Survey of model-based reinforcement learning: Applications on robotics,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.221788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c53846d5-91f1-48d5-8974-f10e77af222d · outbound
This paper cites Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:16.035861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7381fb9-0998-4cf9-9e7b-b5bc5285c746 · outbound
This paper cites Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:16.041618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a162c04-52f1-4a4a-9065-842dd722a8ad · outbound
This paper cites Hands-on bayesian neural networks–a tutorial for deep learning users,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Hands-on bayesian neural networks–a tutorial for deep learning users,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.205643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9882ca4f-61ae-4b5f-b363-5145f34732c2 · outbound
This paper cites French bakery daily sales,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning French bakery daily sales,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.187279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 079c737a-0a18-4aba-9438-c3c283954055 · outbound
This paper cites Multilayer perceptron and neural networks,.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Multilayer perceptron and neural networks,
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:34:16.067949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6813897c-cfd9-4e62-8831-88fed5640d60 · outbound
This paper cites Available: https://www.kaggle.com/datasets/ matthieugimbert/french-bakery-daily-sales.
Data-driven inventory management for new products: An adjusted Dyna-$Q$ approach with transfer learning Available: https://www.kaggle.com/datasets/ matthieugimbert/french-bakery-daily-sales
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:34:16.167858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.