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Paper Citation Record · LEDGER

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2507.22546.

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

pith.paper-citation-record.v1
2507.22546 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:35:33.053998Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e6a120b-58f8-435c-8d4d-76b3eda26221 · outbound

This paper cites an unresolved cited work.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 96c57f17-fd83-4b88-a960-fdd00227f1d6 · outbound

This paper cites Frontiers in Robotics and AI10, 1150508 (2023).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Frontiers in Robotics and AI10, 1150508 (2023)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:36.266829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fdd7fca3-37cc-4f35-90d8-7a0fa6ec06c9 · outbound

This paper cites IEEE Access 8, 39574–39586 (2020).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection IEEE Access 8, 39574–39586 (2020)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:36.068896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aa793b09-d8f9-4f35-ba93-c95abdaa9bce · outbound

This paper cites an unresolved cited work.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Unresolved cited work

Reference 4

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.248637Z digest=sha256:cf7d1bf016de5526fd82d03c5d3c2066b7e04b4b9e10029cb0cdd7672dac6b0b

Observation b2664a9a-6866-4d4f-a7b5-227ed486f9e1 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:35.539430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.314044Z digest=sha256:e427335411af79e3247695eeb484e5244fbdae0302b551b0d8006edcab352353

Observation c3b1906d-b45f-4a39-b781-eb7dde41e9a1 · outbound

This paper cites Journal of Computing in Civil Engineering34(1), 04019047 (2020).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Journal of Computing in Civil Engineering34(1), 04019047 (2020)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:35.220601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.401821Z digest=sha256:7a2addf03f4b127ba3de2e617bb8429a765112162e0371b2a4b342aa825f53cd

Observation 154bab0a-2f79-47cd-94b6-5f56984ca62a · outbound

This paper cites Sensors22(7), 2722 (2022).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Sensors22(7), 2722 (2022)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:34.959100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.461061Z digest=sha256:6d5e127e4aede3655be5c9ba8eb90e5edd5b78d046f97aee8dbafcc8fde2cc8d

Observation 7f305f80-58df-473e-ad65-04d9f8eedc4f · outbound

This paper cites In: International Conference on Learning Representations (2021).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection In: International Conference on Learning Representations (2021)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:34.693868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.568412Z digest=sha256:e17bd0d2586d9b01ce7861e34b2ee2dee9f12f23f143c8c169d8c262e2591fba

Observation 95d41e8f-9fd0-4807-9cbf-0676bfc1abb5 · outbound

This paper cites Journal of Pipeline Systems Engineering and Practice 11(4), 03120002 (2020).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Journal of Pipeline Systems Engineering and Practice 11(4), 03120002 (2020)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:34.381592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.629449Z digest=sha256:c64b653d510dbc7e567a80a3315cdc1cb8edded4d947a14e337e643cc8854f00

Observation bf534a26-6225-4d8d-8d67-9bf49267c534 · outbound

This paper cites ACM computing surveys (CSUR)51(5), 1–36 (2018).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection ACM computing surveys (CSUR)51(5), 1–36 (2018)

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.705829Z digest=sha256:aaa0d6942f0b8bde2a2c517afdb246e87c7c3400228cbff28f07faa6630787a0

Observation 108c51c4-73d7-4cdb-b5ec-0fbfe42c335f · outbound

This paper cites an unresolved cited work.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:35:33.892188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.800375Z digest=sha256:7efea4c976b695bf71e5255a35e8117acbdbf8f3358600150820c3d9038dc5a7

Observation 9d2fdd40-64f8-4fb1-962b-42ac601297ec · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection In: Proceedings of the IEEE International Conference on Computer Vision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:33.661059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.840746Z digest=sha256:f41f496e26fd354f68cce8a9954c63218dd9c5296f44c90b665d59997e9a426b

Observation 8412cb10-6d2d-49d5-a70f-9734a36c9bc6 · outbound

This paper cites https://spring-innovation.co.uk, last accessed 2025/07/16.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection https://spring-innovation.co.uk, last accessed 2025/07/16

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:33.463791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.930096Z digest=sha256:5a01982b6028edcfc7feb6bcb22149271ce76a168bf0e48d11aa802ef0254b1b

Observation 7f75e52e-f948-4bc4-a064-a16b994ec1fa · outbound

This paper cites In: Breakthroughs in statistics: Foundations and basic theory, pp.

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection In: Breakthroughs in statistics: Foundations and basic theory, pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:35:33.266567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:35:32.993771Z digest=sha256:0f37c00f7f5a1072fe8c12b2b56a215eed91fab7c4fbdd9912f5eab29c329622

Observation 2ed611d4-69dd-4125-8528-92f970d6d733 · outbound

This paper cites In: 2022 26th International Conference on Pattern Recog- nition (ICPR).

Explainable Deep Anomaly Detection with Sequential Hypothesis Testing for Robotic Sewer Inspection In: 2022 26th International Conference on Pattern Recog- nition (ICPR)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T11:35:33.053998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.