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Paper Citation Record · LEDGER

SynDelay: A Synthetic Dataset for Delivery Delay Prediction

As of 12 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 2026-08-12T06:34:41.77262+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

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:a9a3655c2c17f8bca86fb8932ecd114c2ee19138eec7f17c9d9ff90205aabf23

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.271447Z digest=sha256:d26d4811ef9d34a84f75381f6dbd03b5c88a9f32f2f7a0a8860ea7573f79b2e5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.307242Z digest=sha256:9cbe3cc7fac7dede5aa6de07893c0a04abf915da5fe5f738ac913294c8f66da0

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.401375Z digest=sha256:3fc1089982bbf725fa5c7a13109d803051ed45b3dcb95074e79945309eaf3aea

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.482172Z digest=sha256:fa2237bf5636363079bbbe092110b1300e8b1c626306d6e847af83382b7a4559

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.563325Z digest=sha256:7bd4c10f0041a3d028e6c9ee20f0d8d2784d8a5835706a42b687174ab57d8ee1

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.633941Z digest=sha256:303ddc227b3981e167d3cf8cbade3fcbe4838dd0b63d46d36b5d1530aaf8c25b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.691081Z digest=sha256:8a7dfa3fd0e4ffa6b564fe5a5339264c6082abe742abb87467aac41404512159

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.796051Z digest=sha256:302f108eec6a166a2db2e861f3577bfe288c859ba7b66124b7111809ac6fef96

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.800573Z digest=sha256:75cf725178be1c164aba5932f53ee1c42ca4c2e222b45b5921f51d09cafa6c31

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.804725Z digest=sha256:d704bdbe3883936d20528c3d7b665aa84c9c5b283e6818d0175570504b2dc5d9

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=sha256:191e623f2e36a078fbf3a0724839d6e7284bae5699079479a4f58b27d6e16209

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.813885Z digest=sha256:4328c60b92d2d43e62eead5f2ed76ed558c11be09c783e02514c98e9f9a27f11

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.818071Z digest=sha256:b6a6053ec7849d4fc6be47ecbf237ff8b1093feff3bba226916296de248ba3fc

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.822078Z digest=sha256:426a9faa4436cef8934d859ca526f6f3e5f289f7d4624557dc0902fa688582a7

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.826084Z digest=sha256:c1b2f9dc29fed295845378aa48bcc24f0b770ba0b7157662da91f2836fda143c

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=sha256:5d1b715267a5e89c24bb6f864de0c069f2b6df211d48a3f6b061456358aa70ae

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.834579Z digest=sha256:21e5f2b9eb6dd42f5f888074f5be068780064ad3f0470f528e9d132b72c9f0a4

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.838801Z digest=sha256:09ba845fb638adaa68b649c1dd900245df7f2145cab3d438ec394a470295873f

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:c2f9c03f3bf9f98da44f99a6dd06abd1ad292e3ac7a62b9578cc806a8db09932

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=sha256:3fa0b19e600de134479d62c66243b8446045cc3889c47cc86a665b7bd961f333

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.853071Z digest=sha256:58560bbfbf2bb314f60e1b0b492f3560797105844ee779923bdaa337809e7952

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-05T13:27:44.857033Z digest=sha256:58f1915506e2c9eaa616141bf966c774461524c982bb88251b7b1b046c8bf00c

Pith citing papers

No inbound Pith citation observations are available.