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Paper Citation Record · LEDGER

SynDelay: A Synthetic Dataset for Delivery Delay Prediction

As of 7 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.05325.

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

pith.paper-citation-record.v1
2509.05325 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:27:44.857033Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f9d802c-b188-4bdf-8def-3fd4881ffcaf · outbound

This paper cites write newline.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:44.155094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:27:44.155094Z digest=sha256:2177bcb64d7194b634be111ca23c33660ba4c31c46a1037ddded7f05b933d593

Observation 0518f77f-ce2b-45fb-b532-ffe3e9dc61da · outbound

This paper cites Generating Synthetic Data in Finance: Opportunities, Challenges and Pitfalls.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Generating Synthetic Data in Finance: Opportunities, Challenges and Pitfalls

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.220800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.271447Z digest=sha256:687c6f849a694cd7af139edcb2379111266daa463066c57791b4252e9d9482e9

Observation 093f5710-9ce1-4060-be03-89daa9db7290 · outbound

This paper cites Advanced Deep Learning Approaches to Predict Supply Chain Risks under COVID-19 Restrictions.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Advanced Deep Learning Approaches to Predict Supply Chain Risks under COVID-19 Restrictions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.205015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.307242Z digest=sha256:fbd4148cbab7f0fa44e1c03aa4b7788038c40da543168c6eb3ec63efc456d429

Observation 065dee41-76ae-46f4-931d-67617d30158b · outbound

This paper cites Random Forests.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Random Forests

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.190025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.401375Z digest=sha256:427ec1cc388daca839d5151e0df984e1c3546a563178a99b9e397723930ecedf

Observation 783b6646-935f-4157-a244-69c52f4c0cf3 · outbound

This paper cites Supply Chain Data Analytics for Predicting Supplier Disruptions: a Case Study in Complex Asset Manufacturing.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Supply Chain Data Analytics for Predicting Supplier Disruptions: a Case Study in Complex Asset Manufacturing

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.175745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.482172Z digest=sha256:47d8a7c9e6b1157026a2c85b6d53d0b6183901b22fc38c80fa1983c778a08516

Observation 763a5fed-c075-4cd0-85a2-ebc9e94e3f3a · outbound

This paper cites Application of Machine Learning Techniques for Supply Chain Demand Forecasting.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Application of Machine Learning Techniques for Supply Chain Demand Forecasting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.160932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.563325Z digest=sha256:5061d7f8d332ff1265b480da4c520d6479eaba59ba599ebf46bc118b5a336fbe

Observation 4cc38532-0e5d-4308-bd28-b8647129bd54 · outbound

This paper cites Synthetic Data in Machine Learning for Medicine and Healthcare.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Synthetic Data in Machine Learning for Medicine and Healthcare

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.146807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.633941Z digest=sha256:77e985dd450191c64034fb864843287a9e6659d17871c6c30ac164f9b01c3fa0

Observation 88d9d8ba-c985-47be-b2bc-69e9726ba9dc · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction XGBoost: A Scalable Tree Boosting System

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.132653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.691081Z digest=sha256:6ea44b154e52914380ae986aa58194f9c6f398e56fc7f021e2fbac34f9cd0dde

Observation c5dda5fe-9837-4ede-bc3e-9d94e420301d · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction ImageNet: A Large-Scale Hierarchical Image Database

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.118076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.796051Z digest=sha256:df35deba8cbbd5cc91b20a2f68c7e952687bba8473a82d92ea9f07f99d7970cd

Observation 7c7f6a7f-accc-4f11-83f4-fc3165e002c3 · outbound

This paper cites A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk based on Macroeconomic Indicators: A Case Study in the Automotive Sector.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction A Deep Learning Approach to Predict Supply Chain Delivery Delay Risk based on Macroeconomic Indicators: A Case Study in the Automotive Sector

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.103503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.800573Z digest=sha256:4f4d970795928fd820ec53048587b430274f362a53d0bde57d86b621ade8925e

Observation 66bd310c-5dba-4d64-8b5c-93e89d07ea0e · outbound

This paper cites Harnessing the Power of Synthetic Data in Healthcare: Innovation, Application, and Privacy.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Harnessing the Power of Synthetic Data in Healthcare: Innovation, Application, and Privacy

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.087227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.804725Z digest=sha256:d272a5bde76610706edc043075ae5e0aa69691c280b33d81dc2f3a910518c017

Observation 460fbbd1-733a-4996-950c-3474a06f2fa4 · outbound

This paper cites Synthetic Data -- what, why and how?.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Synthetic Data -- what, why and how?

Reference 12

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unresolved
no resolver link, observed 2026-08-05T13:27:44.808899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:27:44.808899Z digest=sha256:675417aeb8cdc4f8305fa73e46839f2bbcbd4cb425e0de0b208ee2acfda8b833

Observation fb8094ca-220e-497c-94c3-6451f8c73288 · outbound

This paper cites Generating Synthetic Data for Medical Imaging.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Generating Synthetic Data for Medical Imaging

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.072527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.813885Z digest=sha256:ab086ea6e24e8c6c9c47c476fdc331ea6f8529a7cfe5bf03e25813260d1809eb

Observation bdde9cc5-57e1-427f-b5dd-d284d6e44e89 · outbound

This paper cites Optimising Forecasting Models for Inventory Planning.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Optimising Forecasting Models for Inventory Planning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.058019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.818071Z digest=sha256:5a87f5efeef07610484e3105215508b8010bf7b496330c70e54231c3309b4431

Observation b18f610f-7cc8-45d9-9662-8776d744b8d0 · outbound

This paper cites Gradient-based Learning Applied to Document Recognition.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Gradient-based Learning Applied to Document Recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.042102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.822078Z digest=sha256:b8168f8bf08dd0c817c1ba43ca2200cb89213d4b29409d81877435a239ad57ad

Observation 26457c44-6bda-4e24-b374-f3e5e7454f23 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Microsoft COCO: Common Objects in Context

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.023909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.826084Z digest=sha256:5e8a8b108e8cecd8adb741c75406ebce30a46828013718c2a4240cdcd9ae2dbb

Observation 8ff6eeb7-52b0-43bc-abd5-abdf33f3eeba · outbound

This paper cites LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:44.830145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:27:44.830145Z digest=sha256:1589e5a05b51f6fae73c44588488a4d9ab726d91da78a0092ce8311361fab835

Observation d6e1a5b9-d86b-4359-81ca-e10062c4c034 · outbound

This paper cites 2021 Amazon Last Mile Routing Research Challenge: Data Set.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction 2021 Amazon Last Mile Routing Research Challenge: Data Set

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:45.008297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.834579Z digest=sha256:920fe6c7e1f25342b38e9eb2b68cb0b8cfb331885ccd813c50871fdf0be13b9f

Observation 766fc03c-b713-4bb8-bd50-b80bb06e8556 · outbound

This paper cites CatBoost: Unbiased Boosting with Categorical Features.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction CatBoost: Unbiased Boosting with Categorical Features

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:44.991989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.838801Z digest=sha256:11bcb4832615c2c8488fb7b4da23da393d04686bf50d9bc7d9d12cd8e2b61deb

Observation 2adf5e62-bccd-4794-b1a8-ffcba2895651 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:44.843397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:27:44.843397Z digest=sha256:4446543141829a8e3907eadd82473883e47e3172c21a3fdeb021ace2aef4352c

Observation 77b90e99-0456-4fcc-90b5-6f7786c7ba71 · outbound

This paper cites SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T13:27:44.848333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:27:44.848333Z digest=sha256:ebf299737710629a973df70c7d5b45d3316dfd388f65fd1bc58b926d547c74e5

Observation 6112be72-72ee-4394-8b66-b41b2caedd41 · outbound

This paper cites LaDe: The First Comprehensive Last-mile Express Dataset from Industry.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction LaDe: The First Comprehensive Last-mile Express Dataset from Industry

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:44.977109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.853071Z digest=sha256:63fb2239283ab9525feae48b2391c3120c8c0bb553bb38cc1a4f583ef04ebcab

Observation 31354ab0-2025-4350-82b2-18e07abb7e8e · outbound

This paper cites Federated Machine Learning for Privacy Preserving, Collective Supply Chain Risk Prediction.

SynDelay: A Synthetic Dataset for Delivery Delay Prediction Federated Machine Learning for Privacy Preserving, Collective Supply Chain Risk Prediction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:27:44.960998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.857033Z digest=sha256:3af9c2a41f32b1ffcb6d436aad3c30da8c2c65a984e8bef7ee19086cf188da88

Pith citing papers

No inbound Pith citation observations are available.