Paper Citation Record · LEDGER

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.04599.

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

pith.paper-citation-record.v1
2606.04599 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:31:44.815249Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fddc6f9-9dac-44d6-9fe6-1bb5a442007d · outbound

This paper cites How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:56:47.554324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 239b89b8-5590-47ce-b022-1abea7eeb4bd · outbound

This paper cites Zhuo Li, Yuhao Yan, Xiangheng Wang, Yifei Ge, and Lin Meng.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Zhuo Li, Yuhao Yan, Xiangheng Wang, Yifei Ge, and Lin Meng

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8594cbdc-98bf-4730-82c7-d4eee15d6b5b · outbound

This paper cites Jianming Lv, Yaquan Wang, and Shengjing Chen.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Jianming Lv, Yaquan Wang, and Shengjing Chen

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c107804-e394-46a1-a4d2-6a8607fa0137 · outbound

This paper cites AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection AgentIAD: Agentic Industrial Anomaly Detection via Adaptive Memory Augmentation

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T07:56:47.549131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f90c6286-572f-408a-ad7c-bbe402d251db · outbound

This paper cites Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:56:47.551595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5e39666-4973-40d0-ac8b-91e25f1853c4 · outbound

This paper cites Julian Wyatt, Adam Leach, Sebastian M Schmon, and Chris G Willcocks.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Julian Wyatt, Adam Leach, Sebastian M Schmon, and Chris G Willcocks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b13173f6-d17e-4773-8e2d-e213ad56ab3c · outbound

This paper cites task_type.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection task_type

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c635b18-dc32-4669-99d0-38ce349e4a7a · outbound

This paper cites Deep methods (AutoEncoder , VAE, DeepSVDD) are available for special cases where classic methods are insufficient.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Deep methods (AutoEncoder , VAE, DeepSVDD) are available for special cases where classic methods are insufficient

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e32042-e072-483e-8cbb-b458b5418554 · outbound

This paper cites none"] and feature_extraction=[.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection none"] and feature_extraction=[

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ab333d5-c884-4a9f-85ad-d1698a88816f · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4db2ff63-02f3-47c7-872f-943827a37832 · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b08868c-b6f8-426e-bdb0-555836b60766 · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497b24ea-1dd2-4d30-b931-573c9c00cd25 · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbe46e4c-f168-4fba-abd1-46e8121bd426 · outbound

This paper cites ResNet/WideResNet patch features, PatchCore- style backbone).

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection ResNet/WideResNet patch features, PatchCore- style backbone)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce701c7e-d528-422e-a852-52968e219162 · outbound

This paper cites none" is often enough when there are no special requirements. For time series with TSLib models: USE [.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection none" is often enough when there are no special requirements. For time series with TSLib models: USE [

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6016d488-01cb-4774-ba63-572f5cb4d281 · outbound

This paper cites Image: PatchCore, CNN_backbone, pretrained CNN patch features (no YOLOv/object detection).

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Image: PatchCore, CNN_backbone, pretrained CNN patch features (no YOLOv/object detection)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48d52d5-d385-46a4-8d4e-43876d79797e · outbound

This paper cites metrics": [.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection metrics": [

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0211c39b-7813-43a8-909b-93b37769423c · outbound

This paper cites Tensor - PyOD models: Use'decision_scores_'(plural ), returns numpy.ndarray - Example: anomaly_scores = model.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Tensor - PyOD models: Use'decision_scores_'(plural ), returns numpy.ndarray - Example: anomaly_scores = model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f58c25-c522-49d2-8be9-5344f6aef823 · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e193faf3-5fbb-4212-9f2d-da8f439825a7 · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213af824-6ba6-4180-aeee-202586e0771e · outbound

This paper cites PyOD CBLOF beta parameter (CRITICAL): - CBLOF requires beta in range [1, 2147483647].

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection PyOD CBLOF beta parameter (CRITICAL): - CBLOF requires beta in range [1, 2147483647]

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c17bde4-3ea1-46a0-8eaa-14dabe1b577d · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba865343-d5a6-4f81-9df3-ea151cb8fba6 · outbound

This paper cites numpy() if torch.is_tensor(anomaly_scores): anomaly_scores = anomaly_scores.cpu().

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection numpy() if torch.is_tensor(anomaly_scores): anomaly_scores = anomaly_scores.cpu()

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05513be-bd0d-4cb3-92b4-ffc3c51f12bf · outbound

This paper cites float64) if dtype mismatches occur {DATASET_SPECIFIC_SECTION} E) TRAIN-TEST SPLIT RULES CRITICAL: The dataloader already returns separated train_x, train_y, test_x, test_y.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection float64) if dtype mismatches occur {DATASET_SPECIFIC_SECTION} E) TRAIN-TEST SPLIT RULES CRITICAL: The dataloader already returns separated train_x, train_y, test_x, test_y

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbc2909-ff69-471f-8d1b-8b23a708fe62 · outbound

This paper cites Merging and re-splitting would: - Cause data leakage (test data may contain training samples) - Break the original train/test distribution - Lead to incorrect evaluation results.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Merging and re-splitting would: - Cause data leakage (test data may contain training samples) - Break the original train/test distribution - Lead to incorrect evaluation results

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e746ad0-c81e-4d79-bd28-0fd14031a9fa · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b588179-eedb-4d06-befa-fca6a2199beb · outbound

This paper cites an unresolved cited work.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d62bb6-7329-445a-8dda-c9a65ae89e20 · outbound

This paper cites { metrics_timestamp}.

Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection { metrics_timestamp}

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-28T06:31:44.815249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.