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Paper Citation Record · LEDGER

SynDelay: A Synthetic Dataset for Delivery Delay Prediction

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:167d36571c99a225543502a7c62ad938f1dbcb8ba39700580e0bf95ab619a93e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.271447Z digest=sha256:3dbe52a2e4595d8a3abfb4752689756275669c3575287cebcf94f31fd48c34e8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.307242Z digest=sha256:4c92cce1e2e5b2bc860df19f7c76d78b515c23586f332de85eb8ece59892aad0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.401375Z digest=sha256:4ea5eb85833143452deba409e5179878798c07a1e36db80644757e92c2c98582

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.482172Z digest=sha256:eb51046b580a185f892c065f82f1da7a7e4401b2b9895b02d01e21081ff50a6b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.563325Z digest=sha256:144350701ff03bd32aa5a3f5fedbfdbf1cd41a63be3c93949e51d3e112f67956

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.633941Z digest=sha256:67957cb3cdbd682553f338cbac1f8652b315dd18b8527c3545aed031b07663a5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.691081Z digest=sha256:e3add58cb38690eb44f4830bfa5f04677eaf03fcdc16d1c28042093d9be6e4c5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.796051Z digest=sha256:1d58f73f4c69aaf75f6cf9b8033934a26f715232b6456a0d3aca7087812a6c60

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.800573Z digest=sha256:8574e3a6b4d4d86072a74913f4a3040b4f73be04361fb507fe546e17b97a8ff2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.804725Z digest=sha256:db9c8d8e6af8e5ca3c6596974afd2c07445e1273e5b890d7f66dd6d092019dac

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:d7aa168ac451b003390bdff3013645f45e76a587c215431b30c331e623e835a9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.813885Z digest=sha256:18cac72e4da402a51bd9dcf8ba0d5df8a94e6efb4e994c7ac73c71097420af58

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.818071Z digest=sha256:3135b38d71bda2b10383c4b57ee7635efbf1f28423100da1d05a0f7dfba82488

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.822078Z digest=sha256:9baa38bfa1747a3745b1fbdd80e78b515b92a9e7933ab590ca7f26c9fbe99820

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.826084Z digest=sha256:157d91c967f98ee1f89bd67e4022739512d0aaed24cf926c64eb8553136a88b1

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

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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=sha256:0b48f2754233bdd64ef6965259ea1a4aaf9279e832f92941e6c3aaa9f5c1603a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.834579Z digest=sha256:1eaed9479c4d610cb38b840477125abd437801036e8b60b971fc1bee0dbad769

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.838801Z digest=sha256:90fd009493017e20c1fc800417731b47c4ca8079d721d1f0a049a3745c870e16

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=sha256:2e0aabe987d209776d726cb34027213ca157e8d1ca5bbacbff885bcbfebf196f

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:bf303d7755c0c93571a3debbdb20f8609337f52ebb39503d148bc05c8cf2e2ef

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.853071Z digest=sha256:a521c7f2f47e5cb6570805969178053c07ba9e0ead7c4863732cff3ec013ebb8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.857033Z digest=sha256:1401838ea17e0eb684871c610009d9815d12c6ab98126ec1808652a536fdd68d

Pith citing papers

No inbound Pith citation observations are available.