Paper Citation Record · LEDGER

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

As of 4 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2604.09166.

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

pith.paper-citation-record.v1
2604.09166 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:37:27.593038Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

50 of 50 outbound references displayed

verified exact33
verified fuzzy5
unresolved4
parse uncertain0
malformed identifier5
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24c06ef6-96a4-49aa-bbd1-b759b850f3dc · outbound

This paper cites Anomaly detection: A survey.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Anomaly detection: A survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:49.766034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2479e1d-1c0c-4990-bf8b-4bfd0646ddd4 · outbound

This paper cites Venkatasubramanian, R.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Venkatasubramanian, R

Reference 2

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.875185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ac59bf1-e8d1-4aec-bb7b-a1a2f83c0c10 · outbound

This paper cites Venkatasubramanian, R.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Venkatasubramanian, R

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-05-17T14:24:46.092453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18d4d932-5074-440a-a4a3-c9b634e84303 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-17T14:24:46.094917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ff859bb-886c-4780-a90d-7db534044bdf · outbound

This paper cites Hartung, B.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Hartung, B

Reference 6

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.676199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2245c4c5-d538-4bec-995c-9cdcd0571f44 · outbound

This paper cites Wagner, T.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Wagner, T

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:24:46.089982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 727cb508-a7f5-42a8-9505-00d084ad6a7c · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.968989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27f3877d-81f0-4d73-b355-a11c2fa766f2 · outbound

This paper cites Monroy, G.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Monroy, G

Reference 9

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.817567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 05d04764-a6e2-4fc8-bbab-4b4924051589 · outbound

This paper cites Inoue, Y.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Inoue, Y

Reference 10

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.886045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c1fd73a-a5ae-45f3-bfd3-aff8cd40e6cd · outbound

This paper cites In: INDIN.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection In: INDIN

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:25:49.636215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 608b4684-c0df-47dd-b538-d9e7a766f283 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.153916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9678d5be-4b17-4ac4-b112-3e26fc18d207 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 13

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.132784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0da7ecb7-02aa-4ee1-b028-c04a288c7413 · outbound

This paper cites Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:49.142397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c205b9da-30d4-44a8-9949-3573b5b248ba · outbound

This paper cites Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Cross-Modal Learning for Anomaly Detection in Complex Industrial Process: Methodology and Benchmark

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:49.958155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation da76d91c-2c73-4780-8a73-2491a7db621c · outbound

This paper cites [Online].

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection [Online]

Reference 16

Resolution: metadata mismatch; doi, observed 2026-05-10T21:25:49.315385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e366ddb-a922-4e3b-b659-481729568c7d · outbound

This paper cites and Vogel, E.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection and Vogel, E

Reference 17

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.125872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d423b037-ba36-470a-b358-352fd5114efb · outbound

This paper cites Rieth, Ben D.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Rieth, Ben D

Reference 18

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.138475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eff0ed12-79c5-44c4-9c8f-d807d7b8ffac · outbound

This paper cites Arweiler, I.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Arweiler, I

Reference 19

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.135700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10ba47a7-45f6-4129-af09-febf1759dfda · outbound

This paper cites Muraleedharan, A.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Muraleedharan, A

Reference 20

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T21:25:48.870523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c3a6262-5f38-4207-9f39-1f8c909da4ff · outbound

This paper cites Wagner, F.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Wagner, F

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:24:46.087577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c7bd84e1-516e-48d9-a76b-63cfced2ee60 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.864085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 335b885a-6939-4f0d-b1a9-cafaa7ffec76 · outbound

This paper cites Park, S.-K.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Park, S.-K

Reference 23

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.839255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18b6288c-f669-4c30-98d2-1c29040e74ab · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-17T14:24:46.097711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0fe8be6d-40a6-43e6-b4e3-23640d719370 · outbound

This paper cites II,Springer Series in Computational Mathematics, vol.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection II,Springer Series in Computational Mathematics, vol

Reference 25

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.923753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c051fc9d-69da-4aae-8523-cfd6886d865b · outbound

This paper cites Kunkel, Differential-algebraic equations: analysis and numerical solution, Vol.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Kunkel, Differential-algebraic equations: analysis and numerical solution, Vol

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:24:46.085138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8b7edd22-63ec-4e4a-8079-bb2bdf0d3dc2 · outbound

This paper cites Campbell, A.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Campbell, A

Reference 27

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.665864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bb5cf868-4d9f-46cc-b0f3-41df29a2402d · outbound

This paper cites Doherty, J.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Doherty, J

Reference 28

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.867464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13532951-49d0-46ff-b08a-da1eee858259 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.878576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 705f8442-5eb9-4039-a40c-b036c65a8ef1 · outbound

This paper cites Bachmann, L.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Bachmann, L

Reference 30

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.673739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cead0e1d-8cc3-4b60-b4bb-8e5229559cbd · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-17T14:24:46.082451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8b59ce22-4d52-4c91-a0eb-99d7546cc063 · outbound

This paper cites Haydary, Chemical Process Design and Simulation: Aspen Plus and Aspen Hysys Applications, Wiley.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Haydary, Chemical Process Design and Simulation: Aspen Plus and Aspen Hysys Applications, Wiley

Reference 32

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.895916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6d5854b-cb2c-47fc-9a35-2dcd2359777c · outbound

This paper cites Cervantes, L.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Cervantes, L

Reference 33

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.890987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee2bf1bd-be24-4f0a-8d53-cad06b54e177 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 34

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T21:25:49.680680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation befc6d75-3679-4126-82d3-bc965be6b8b3 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-05-10T21:25:50.015992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5b4133b-02d4-4d47-aac7-300eb046f4b1 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 36

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.477756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 651bf86a-bafc-4824-a884-19ec081ca122 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 37

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.935447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fec38fb7-bba2-438c-a9ae-53f3b6b9b3c3 · outbound

This paper cites Gruetzmann, T.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Gruetzmann, T

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:24:46.079934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c408b545-6120-4922-83d7-9549cece4f1d · outbound

This paper cites Eckert, T.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Eckert, T

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T14:24:46.074619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5a6626d-f5a4-4fa3-ba3f-2d970399a861 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-17T14:24:46.077419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2807309e-dd55-47dc-a2bc-c6075b6d380d · outbound

This paper cites Hofmann, L.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Hofmann, L

Reference 41

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T21:25:49.693902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85ce0d95-4a82-406e-8ab5-caaf88a00994 · outbound

This paper cites Bortz, R.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Bortz, R

Reference 42

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.671149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b23c5ae9-299f-4d43-980e-cf87692ca3da · outbound

This paper cites Mohring, J.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Mohring, J

Reference 43

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.899972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 304f1303-4f91-4e8a-83e2-695732f40a06 · outbound

This paper cites Qian, K.-H.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Qian, K.-H

Reference 44

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.686288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation caccf84f-4fec-489e-9af4-8095be4cbb9d · outbound

This paper cites Werner, J.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Werner, J

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:48.913607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1fbd58b6-1c9b-4b74-b2ce-7357204227f3 · outbound

This paper cites 2016.280.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection 2016.280

Reference 46

Resolution: malformed identifier; doi_truncated, observed 2026-05-10T21:25:49.035262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eabd3fd4-ed3c-4aaf-a2ae-a1639444043c · outbound

This paper cites El-Laham, S.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection El-Laham, S

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:49.698626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d2f1dff-363d-481a-a858-03afc24ea4f1 · outbound

This paper cites an unresolved cited work.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Unresolved cited work

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T21:25:49.386210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c96192d2-5e23-4ed3-8077-4c28db68a9b3 · outbound

This paper cites Nagda, P.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Nagda, P

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:25:49.705677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 420b1234-b390-467f-8a2c-6da53ed63363 · outbound

This paper cites Schnelle, J.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Schnelle, J

Reference 50

Resolution: verified exact; doi, observed 2026-05-10T21:25:48.881663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 445794f2-fceb-4a4a-ab04-18cd95cfdc30 · outbound

This paper cites Pichler, B.

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection Pichler, B

Reference 51

Resolution: verified exact; doi, observed 2026-05-10T21:25:49.691091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.