Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation | Paper Citation Record

Observation 967865ff-ac04-4351-bb9f-ab75e0060267 · outbound

This paper cites New algorithms and lower bounds for all-pairs max-flow in undirected graphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation New algorithms and lower bounds for all-pairs max-flow in undirected graphs

Reference 1

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Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 2

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This paper cites “Approximating st minimum cuts in Õ (n.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation “Approximating st minimum cuts in Õ (n

Reference 3

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This paper cites In:Proceedings of the twenty-eighth annual ACM symposium on Theory of computing.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation In:Proceedings of the twenty-eighth annual ACM symposium on Theory of computing

Reference 4

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Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 5

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This paper cites Faster high accuracy multi-commodity flow from single-commodity techniques.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Faster high accuracy multi-commodity flow from single-commodity techniques

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.328933Z

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Observation 84992370-6c93-40ab-b7e1-ee37a432731a · outbound

This paper cites Bipartite matching in nearly-linear time on moderately dense graphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Bipartite matching in nearly-linear time on moderately dense graphs

Reference 7

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Observation 1e2ad169-4f03-4d81-8ffd-046124fa504c · outbound

This paper cites Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.302322Z

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Observation e781fc2f-7bb3-4b04-9985-8f0d7fb8e646 · outbound

This paper cites Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, st Shortest Path, and Minimum-Cost Flow.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Almost-Linear Time Algorithms for Incremental Graphs: Cycle Detection, SCCs, st Shortest Path, and Minimum-Cost Flow

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.288304Z

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Observation 3481d890-5c9a-4891-8027-55d368913a78 · outbound

This paper cites Maximum flow and minimum-cost flow in almost-linear time.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Maximum flow and minimum-cost flow in almost-linear time

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.274103Z

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This paper cites Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.260856Z

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Observation f8a0d815-378f-4dc5-949b-60f360fc3850 · outbound

This paper cites Dirichlet proportions model for hierarchically coherent prob- abilistic forecasting.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Dirichlet proportions model for hierarchically coherent prob- abilistic forecasting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.247877Z

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Observation e24a351c-50c1-4849-9c9a-b09850e7a422 · outbound

This paper cites Warm-starting Push-Relabel.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Warm-starting Push-Relabel

Reference 13

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Observation d9c875b5-1208-47e6-a430-a391b952bc6b · outbound

This paper cites Predictiveflowsforfasterford-fulkerson.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Predictiveflowsforfasterford-fulkerson

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.234437Z

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Observation e8d9b0dd-7be7-44ff-9096-56b73e646550 · outbound

This paper cites Nested dissection meets ipms: Planar min-cost flow in nearly-linear time.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Nested dissection meets ipms: Planar min-cost flow in nearly-linear time

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.221760Z

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Observation ba06b3bb-a102-4ab1-a6ea-743ddde1937e · outbound

This paper cites Theoretical improvements in algorithmic efficiency for network flow problems.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Theoretical improvements in algorithmic efficiency for network flow problems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.208621Z

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Observation 839186bf-3784-47f9-b899-f3fcdbe2284c · outbound

This paper cites Approximating fractional multicommodity flow independent of the number of commodities.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Approximating fractional multicommodity flow independent of the number of commodities

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.195385Z

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Observation ab92b217-dcfe-4d09-b901-30f0d7707275 · outbound

This paper cites Constructing maximal dynamic flows from static flows.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Constructing maximal dynamic flows from static flows

Reference 18

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Observation 7727bfe8-3b67-4ada-81f1-125bc120b488 · outbound

This paper cites Maximal flow through a network.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Maximal flow through a network

Reference 19

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Observation 00e35180-d4f1-4a0a-8159-fb69bcee9f99 · outbound

This paper cites A network flow computation for project cost curves.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation A network flow computation for project cost curves

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.157168Z

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Observation 3fc62bb5-7c1d-40dd-aa2f-b0faa11eb40c · outbound

This paper cites Transient flows in networks.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Transient flows in networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.144021Z

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Observation 741878a5-72da-4a49-885c-67d8db30acfd · outbound

This paper cites Faster and simpler algorithms for multicommodity flow and other fractional packing problems.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Faster and simpler algorithms for multicommodity flow and other fractional packing problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.130719Z

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Observation 36016696-af9a-4538-9ec1-0a7e14b64e25 · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 23

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Observation 7f6c2693-838b-4277-b286-a94e490e5870 · outbound

This paper cites Recent Advances in Fully Dynamic Graph Algorithms - A Quick Reference Guide.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Recent Advances in Fully Dynamic Graph Algorithms - A Quick Reference Guide

Reference 24

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Observation 3dcc68cd-ccb2-42fb-b4a8-b1cded1644d8 · outbound

This paper cites Improvedalgorithms for decremental single-source reachability on directed graphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Improvedalgorithms for decremental single-source reachability on directed graphs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.118066Z

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Observation db4b5616-8e62-4479-be19-bea2a5e8e043 · outbound

This paper cites Sublinear-time decremental algorithms for single-source reachability and shortest paths on directed graphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Sublinear-time decremental algorithms for single-source reachability and shortest paths on directed graphs

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.105141Z

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Observation a29195d4-86b4-473b-b496-664130eb85d4 · outbound

This paper cites Springer, 2008.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Springer, 2008

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.092312Z

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Observation 756de43e-6e00-44e3-887f-03ac2de0ad16 · outbound

This paper cites Optimal combination forecasts for hierarchical time series.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Optimal combination forecasts for hierarchical time series

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.079829Z

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Observation eb9ef61a-7016-46e2-84fe-7d89f325c95b · outbound

This paper cites When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting

Reference 29

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Observation 5b5ee9f9-c211-4a65-aca9-2f9e789c9216 · outbound

This paper cites On the translocation of masses.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation On the translocation of masses

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.067143Z

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Observation 2f1fc368-4798-4156-8969-0dc2af3ea0c1 · outbound

This paper cites Faster approximation schemes for fractional multicommodity flow problems.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Faster approximation schemes for fractional multicommodity flow problems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.054255Z

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Observation 9262b904-095b-437c-9ed3-e494c4cc459f · outbound

This paper cites A faster deterministic maximum flow algorithm.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation A faster deterministic maximum flow algorithm

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.041169Z

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Observation e1a7a2c0-dd04-43c7-8923-50767deabc02 · outbound

This paper cites Single source–All sinks max flows in planar digraphs.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Single source–All sinks max flows in planar digraphs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.027967Z

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Observation fcad1754-05f4-4071-a88a-45fa392e2a02 · outbound

This paper cites Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.015321Z

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Observation b74edb57-8302-410a-b301-3a9a31c6b267 · outbound

This paper cites Computing maximum flow with augmenting electrical flows.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Computing maximum flow with augmenting electrical flows

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:03.002562Z

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Observation 8996a4fe-0462-4128-9242-b60a0cdfd7b2 · outbound

This paper cites Faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.989571Z

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Observation 4ce8a941-6598-4c5e-b907-0ff4a27d97b4 · outbound

This paper cites Navigating central path with electrical flows: From flows to match- ings, and back.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Navigating central path with electrical flows: From flows to match- ings, and back

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.976558Z

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Observation b6b46c69-b7a9-4dbf-ab31-158c68a4f874 · outbound

This paper cites Probabilistic hierarchical forecasting with deep poisson mixtures.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Probabilistic hierarchical forecasting with deep poisson mixtures

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.963693Z

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Observation 4ee6c329-f60b-461f-9f6b-b602dc7a87ff · outbound

This paper cites A simpler and faster strongly polynomial algorithm for generalized flow maximization.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation A simpler and faster strongly polynomial algorithm for generalized flow maximization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.950590Z

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Observation 49d66922-e054-4815-8ca2-823d5ee8b6fb · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 41

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Observation 9f15ab0c-3b80-4c76-a47a-0cf7ea88aa21 · outbound

This paper cites Forecastreconciliation:Ageometricviewwithnewinsights on bias correction.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Forecastreconciliation:Ageometricviewwithnewinsights on bias correction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.937861Z

Source-reported events for the cited work

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Observation a53ecb1b-de5f-42f6-9c41-ae0044d44475 · outbound

This paper cites Learning-augmented maximum flow.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Learning-augmented maximum flow

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.924052Z

Source-reported events for the cited work

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Observation 15c52eef-d350-49ee-a230-ebc2ba35699f · outbound

This paper cites Deep state space models for time series forecasting.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Deep state space models for time series forecasting

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.910863Z

Source-reported events for the cited work

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Observation a2bf55b1-96a4-484c-8095-25ed4366f73b · outbound

This paper cites End-to-end learning of coherent probabilistic forecasts for hierarchical time series.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation End-to-end learning of coherent probabilistic forecasts for hierarchical time series

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.897811Z

Source-reported events for the cited work

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Observation 444b01ad-0990-4b41-8f32-03d93a8331e3 · outbound

This paper cites Demand forecasting and inventory control: A simulation study on automotive spare parts.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Demand forecasting and inventory control: A simulation study on automotive spare parts

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.883615Z

Source-reported events for the cited work

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Observation 3a7a89c2-5f50-417c-ac76-5825aa46216f · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 47

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Observation d3e3569b-4113-4089-a76d-f6c80da7eddf · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation DeepAR: Probabilistic forecasting with autoregressive recurrent networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.869590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ade1eab3-4019-4d71-a549-69747f9932e7 · outbound

This paper cites Bayesian intermittent demand forecasting for large inventories.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Bayesian intermittent demand forecasting for large inventories

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.855300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ab8650b-4a20-44b9-b7a4-da39ed7bb2d3 · outbound

This paper cites The maximum concurrent flow problem.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation The maximum concurrent flow problem

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.841373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e07704a7-2faa-4c9d-8a28-76d8e0a2b945 · outbound

This paper cites An introduction to network flows over time.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation An introduction to network flows over time

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.828277Z

Source-reported events for the cited work

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Observation 770c6e9b-9e84-40c2-81bd-bc260dbfe8bc · outbound

This paper cites A deterministic almost-linear time algorithm for minimum- cost flow.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation A deterministic almost-linear time algorithm for minimum- cost flow

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.814384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc6932a5-6c5b-4d70-a2b6-bd19e9f90792 · outbound

This paper cites Optimal fore- cast reconciliation for hierarchical and grouped time series through trace minimization.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Optimal fore- cast reconciliation for hierarchical and grouped time series through trace minimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.801304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0a1c32a6-fae5-4709-9cb5-d0cf86e7fa35 · outbound

This paper cites Cambridge university press, 2011.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Cambridge university press, 2011

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:02.156858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10f88eeb-182e-47e0-b40e-955885c55116 · outbound

This paper cites Are transformers effective for time series forecasting?.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Are transformers effective for time series forecasting?

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.779748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe4e86cd-8807-4fac-a50b-09c8ed278a77 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.766831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e03e819-d344-4341-a740-8e5a163edd47 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.754216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4fd0405f-1f6e-4f61-9a9b-d5b7fbc8d6a4 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.741167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b385878-7b40-4695-bf56-4468d94efc36 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.728342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e07fe60-f518-4baa-bcfa-34bef75e922d · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.714445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f70650f7-3b51-4e2f-98ee-49d0cfda6cf1 · outbound

This paper cites The optimization problem becomes: min ˜y nX i=1 f(|˜yi− ˆyi|) subject to S˜y = b The objective is strictly convex as a sum of strictly convex functions composed with norms.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation The optimization problem becomes: min ˜y nX i=1 f(|˜yi− ˆyi|) subject to S˜y = b The objective is strictly convex as a sum of strictly convex functions composed with norms

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.701502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5287fa6-0fda-469e-bb82-1cefe344c6b6 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.688550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76a2093a-9b26-4363-8a06-0c20b2d5f9c7 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.675648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b7a4be1-b78f-45da-bcd0-85c015e58d35 · outbound

This paper cites Therefore, computing the exact reconciled forecasts implicitly requires sorting the values x1,...,x n.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Therefore, computing the exact reconciled forecasts implicitly requires sorting the values x1,...,x n

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.663066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2f61a37-55ab-4c20-956f-07b4bca4fedd · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.649504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b22e4ad-259d-4fbf-b341-7e7523188bc4 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.636974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10c129c2-f892-4f45-89cc-ae729481f4c3 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.624301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b0340ca3-2102-4ab9-9a5d-cce42a47b8b8 · outbound

This paper cites We prove each method yields the optimal reconciled forecasts: Step 1: Orthogonal projection correctness.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation We prove each method yields the optimal reconciled forecasts: Step 1: Orthogonal projection correctness

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.611416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c1ee913b-82f4-4cfb-87df-174869d6cfa5 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.598816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bdadf867-c0b9-44a5-ba98-3bae4f8aa827 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.585841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d0849868-979b-4db2-87e2-b7f1259e0a58 · outbound

This paper cites We prove this in four steps: Step 1: First, we show that(P1) has a unique solution.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation We prove this in four steps: Step 1: First, we show that(P1) has a unique solution

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.573131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2eb354b9-1abe-48f0-aefb-9ff6e2e016c5 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.560669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3fca44b2-65c5-4002-ab2e-19f0c2ffe48d · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.548184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 483a09c4-6305-40c3-bc4a-6e8de00b26d8 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.534563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a5e8eeb-131d-4670-b267-3532e5812561 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.521623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46655425-758a-43d2-930d-323bd616ddd9 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.508133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 500d07e6-4586-4570-b985-72df53eb2d4a · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.495347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0657d15f-0b1e-467a-b477-a180b730547d · outbound

This paper cites B Fast Updates and Approximations Hierarchical forecasting applications face three key challenges that traditional reconciliation methods like MinT handle inefficiently.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation B Fast Updates and Approximations Hierarchical forecasting applications face three key challenges that traditional reconciliation methods like MinT handle inefficiently

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.482167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1d7c45af-8e36-4a08-9559-2bab3ba8fd9c · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.467896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b942dde-79da-4195-b101-0b24e43c0d92 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.452797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bcf00bcd-e492-4aa6-ba74-146ab8a54dbb · outbound

This paper cites B.4 Efficient Approximate Reconciliation Real-timeforecastingapplicationsoftenprioritizecomputationalefficiencyoverexactcoherence.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation B.4 Efficient Approximate Reconciliation Real-timeforecastingapplicationsoftenprioritizecomputationalefficiencyoverexactcoherence

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.439990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 11676ba4-b496-41cc-8122-c28e5e1f4e86 · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.426489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2d9af25-6661-42fe-ba01-96b3568e85ee · outbound

This paper cites an unresolved cited work.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:49:02.413206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 24c044e3-ad20-43f5-840a-500da2700003 · outbound

This paper cites Memory requirements areO(m) to store the current solution and gradient.

Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation Memory requirements areO(m) to store the current solution and gradient

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:02.400218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers