Paper Citation Record · LEDGER

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management

As of 12 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.08314.

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

pith.paper-citation-record.v1
2606.08314 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:21:32.125254Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cef781c2-baa7-465c-b788-54cd86e6f56d · outbound

This paper cites Designing sustainability mea- surement of a Thai coffee supply chain using axiomatic design,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Designing sustainability mea- surement of a Thai coffee supply chain using axiomatic design,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation cca5b8df-21b4-43cb-8ce8-7d4e32f28067 · outbound

This paper cites Shaping the future of coffee value chain: Governance and supply chain finance in West Java’s specialty coffee,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Shaping the future of coffee value chain: Governance and supply chain finance in West Java’s specialty coffee,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation f678feef-2e53-407b-87cc-34598f6d7e26 · outbound

This paper cites Blockchain technology to improve traceability in the cof- fee supply chain: A systematic literature review,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Blockchain technology to improve traceability in the cof- fee supply chain: A systematic literature review,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation ff71de25-c1b4-4bf5-bc3f-22c7387b11e2 · outbound

This paper cites Blockchain-enabled traceability in African coffee value chains,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Blockchain-enabled traceability in African coffee value chains,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 680888f3-47aa-49b7-b643-540d8421b6df · outbound

This paper cites Optimization- based model of a circular supply chain for coffee waste,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Optimization- based model of a circular supply chain for coffee waste,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation dc429684-997c-430c-90c3-f6b11902d580 · outbound

This paper cites Towards a comprehensive model of a bio- fuel supply chain optimization from coffee crop residues,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Towards a comprehensive model of a bio- fuel supply chain optimization from coffee crop residues,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f009de0b-d30e-4b16-b2bb-939cb3346231 · outbound

This paper cites Multi-period production plan- ning in Colombian coffee supply chains under demand uncertainty,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Multi-period production plan- ning in Colombian coffee supply chains under demand uncertainty,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceff02ff-b284-43a0-a952-432cc660ef5e · outbound

This paper cites Asystematicreviewofthecoffeesupplychain: Sustainability, technology and operational perspectives,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Asystematicreviewofthecoffeesupplychain: Sustainability, technology and operational perspectives,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cda622c-ca39-46f8-bdae-9d398dcaadb2 · outbound

This paper cites Applications of machine learning for decision support in biomass supply chains: A systematic review,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Applications of machine learning for decision support in biomass supply chains: A systematic review,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 372977ce-b82f-4be7-94bc-cff26401c960 · outbound

This paper cites An information- sharing and cost-aware custom-loss machine learning framework for 3PL supply chain fore- casting,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management An information- sharing and cost-aware custom-loss machine learning framework for 3PL supply chain fore- casting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 5145f676-9495-41b7-8366-67efcd6b432a · outbound

This paper cites A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation d11baf9e-b002-4233-8b0c-61e5cff2a331 · outbound

This paper cites A CNN–LSTM model for gold price time-series forecasting,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management A CNN–LSTM model for gold price time-series forecasting,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 0aa928b2-8239-4c32-89f2-60cb3e29fc02 · outbound

This paper cites Integrated cold chain planning for fresh food distribution with temperature-dependent quality decay,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Integrated cold chain planning for fresh food distribution with temperature-dependent quality decay,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 910790df-ff08-4706-bccd-795f0ed85b49 · outbound

This paper cites Time-sensitive routing for fresh food distribution with quality degradation,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Time-sensitive routing for fresh food distribution with quality degradation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation ab4c3a3f-ddb3-4d1f-98d0-b8aa2beff26b · outbound

This paper cites Freshness-keepingeffortsandvalue-addedservice choice in fresh food supply chains,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Freshness-keepingeffortsandvalue-addedservice choice in fresh food supply chains,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 0c475783-d2cb-4ed5-9eb1-f83fe3abfa6d · outbound

This paper cites IoT-enabled visibility in cold chain logistics for perishable products,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management IoT-enabled visibility in cold chain logistics for perishable products,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acb70238-c911-4fb4-a52d-2d396551c219 · outbound

This paper cites Dynamic optimization of e-commerce supply chains for fresh products with blockchain and reference effect,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Dynamic optimization of e-commerce supply chains for fresh products with blockchain and reference effect,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Unavailable: canonical work link unavailable.

Observation 9d6ecccc-9ef5-4487-963e-9ecc970f0ec4 · outbound

This paper cites Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation bcdd0978-456a-443f-a3a9-bf41adb0b255 · outbound

This paper cites Intelligent energy management with IoT framework in smart cities using intelligent analysis,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Intelligent energy management with IoT framework in smart cities using intelligent analysis,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 86d37cb9-ffd6-4264-9816-c41da353c724 · outbound

This paper cites PINN-DT: Optimizing energy consumption in smart buildings using hybrid physics-informed neural networks and a digital-twin framework with blockchain security,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management PINN-DT: Optimizing energy consumption in smart buildings using hybrid physics-informed neural networks and a digital-twin framework with blockchain security,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 96ab9ca1-c74b-46cb-a0dd-196c0a034961 · outbound

This paper cites Applica- tion of the Segment Anything Model for civil-infrastructure defect assessment,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Applica- tion of the Segment Anything Model for civil-infrastructure defect assessment,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 63acd006-f317-47d7-b582-af010c839226 · outbound

This paper cites Data analysis of decision support for sustainable welfare in the presence of GDP threshold effects,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Data analysis of decision support for sustainable welfare in the presence of GDP threshold effects,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Unavailable: canonical work link unavailable.

Observation ff9a81aa-3b92-41ef-b444-d99d80cb28f7 · outbound

This paper cites Enhancing flood inundation mapping using machine learning for timely decision-making,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Enhancing flood inundation mapping using machine learning for timely decision-making,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Unavailable: canonical work link unavailable.

Observation ae5d8a02-d455-4d46-9e60-f053658c3508 · outbound

This paper cites Predicting synthetic rating-curve adjustment factors with explainable machine learning for enhancing operational flood inundation mapping,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Predicting synthetic rating-curve adjustment factors with explainable machine learning for enhancing operational flood inundation mapping,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation ef3b2eec-4a39-4214-b4f5-f2a999c5832e · outbound

This paper cites Transferable flood inundation mapping using deep learning trained on LISFLOOD-FP outputs and synthetic hydrographs,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Transferable flood inundation mapping using deep learning trained on LISFLOOD-FP outputs and synthetic hydrographs,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 61b950ed-c4e0-4ad4-ae48-d221be0a53bd · outbound

This paper cites Benchmark flood inundation mapping using RGB aerial imagery and a sub-matrix convolutional neural network,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management Benchmark flood inundation mapping using RGB aerial imagery and a sub-matrix convolutional neural network,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 9a7f1df7-8015-4856-9415-7d5de56eab94 · outbound

This paper cites A novel algorithm based on a combination of CNN and fully connected neural networks,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management A novel algorithm based on a combination of CNN and fully connected neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c03c0904-af83-40cd-91e7-31f98392cb56 · outbound

This paper cites A neural-network-based integration of HEC- RAS, LISFLOOD-FP, and OWP-HAND FIM for enhanced flood inundation mapping,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management A neural-network-based integration of HEC- RAS, LISFLOOD-FP, and OWP-HAND FIM for enhanced flood inundation mapping,

Reference 28

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Observation c4d20b7d-45bc-4269-9ec4-6e4ae606f12e · outbound

This paper cites Advancements in AI-driven customer service,.

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T19:21:32.125254Z

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Observation 3a515a39-489d-4c2c-98fe-3366e49223ec · outbound

This paper cites A human-centered approach to reframing job satis- faction in the BIM-enabled construction industry,.

Integrating Deep Learning Demand Forecasting with Multi-Objective Optimization for Circular Coffee Supply Chains: A Data-Driven Framework for Cost, Emissions, and Freshness Management A human-centered approach to reframing job satis- faction in the BIM-enabled construction industry,

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:26.135632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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