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Paper Citation Record · LEDGER

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.05103.

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

pith.paper-citation-record.v1
1908.05103 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:25:39.742588Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy20
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdf06bc0-f636-4fd9-85c6-5e07db4764f9 · outbound

This paper cites Maritime data integration and analysis: recent progress and research challenges.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Maritime data integration and analysis: recent progress and research challenges

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.345590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.595901Z digest=sha256:8b8c5dadcff66d3ab44cb37b5efd18a91e72e81b1694626963f80ee1adb92dcd

Observation 5f26dea5-e293-4bd6-bc41-a8bf53740485 · outbound

This paper cites Crisis: Integrating ais and ocean data streams using semantic web standards for event detection.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Crisis: Integrating ais and ocean data streams using semantic web standards for event detection

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.291335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.604297Z digest=sha256:1107a9b9f1a8dcf98651b3e7b4022d486cf033d514fc820545557c933c01a232

Observation 5465bfe4-0f8a-4390-b410-f047866fbde8 · outbound

This paper cites Maritime anomaly detection and threat assessment.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Maritime anomaly detection and threat assessment

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.272811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.614071Z digest=sha256:8c3a050ff83e30366d173c8156f12b02eb972713d3385f7960cf560164b11c0a

Observation 6462049d-fd53-4c96-b15f-8692fd6a68b6 · outbound

This paper cites Abstracting and reasoning over ship trajectories and web data with the simple event model (sem).

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Abstracting and reasoning over ship trajectories and web data with the simple event model (sem)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.255166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.623782Z digest=sha256:2322c07a23d3a2dd28222450914616e8c9208579109dfcc0ec3b39f973729126

Observation 308abd6d-818c-43ab-9caf-6934b077f5d6 · outbound

This paper cites Event recognition for maritime surveillance.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Event recognition for maritime surveillance

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.236107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.632168Z digest=sha256:d9504169d3aea02cb908857a13f31fbaa3955e610e89353b8cb939de7b970d92

Observation 823ae517-c5f5-4971-98a6-96dc330ca100 · outbound

This paper cites Mining maritime traffic conflict trajectories from a massive ais data.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Mining maritime traffic conflict trajectories from a massive ais data

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.204102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.641050Z digest=sha256:fd43e356f3802f2af21e3fe56d2e8b7a67b573cd421506dcc08c46819c0aa3bd

Observation b7570725-2e95-406e-af48-0d1333fe5acf · outbound

This paper cites Composite Event Recognition for Maritime Monitoring.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Composite Event Recognition for Maritime Monitoring

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:25:39.820503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.648670Z digest=sha256:4701ed2032865842ad358a680402dc4d21035ed122deb8aee3d9bd956a7125f2

Observation 5eb1d7f6-b785-4ee1-aa06-7dabc0466c5f · outbound

This paper cites Semantic modelling of ship behavior in harbor based on ontology and dynamic bayesian network.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Semantic modelling of ship behavior in harbor based on ontology and dynamic bayesian network

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.150868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.653472Z digest=sha256:9e6cb40edf0fb8953033d46e88e0b25f3d27b5fd708b775182acceaad89a7f9d

Observation 61ee4b94-b849-49f0-a534-fae6d204a762 · outbound

This paper cites A network abstraction of multi-vessel trajectory data for detecting anomalies.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring A network abstraction of multi-vessel trajectory data for detecting anomalies

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.134189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.658360Z digest=sha256:19c489b322b36a894dc02bac86bc0441024fab2131a71b85826b6e7c34473d2e

Observation b17cde18-06dc-4160-ac2f-4dfc432587cf · outbound

This paper cites Detecting avoidance behaviors between moving object trajectories.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Detecting avoidance behaviors between moving object trajectories

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.116059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.662697Z digest=sha256:19c27045155a1483ad19d2b6ea7b7e3addc29baf765e7b3ce7ea00813ab1b074

Observation 1d39f954-bf4b-4d68-bb11-db78f00609ff · outbound

This paper cites A comparative study on concept drift detectors.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring A comparative study on concept drift detectors

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.096475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.668663Z digest=sha256:96065a7e3ebad0b6c416ee988785c8e3590bdf18845d7c2926477af2cebdf47b

Observation db105010-4b60-415b-b077-bb456a415425 · outbound

This paper cites Paired learners for concept drift.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Paired learners for concept drift

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.069936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.672994Z digest=sha256:9bb6ec3fb87f54ef951eb646d974769711bcf054c675aff00f340232bc241487

Observation 6623c692-b3fd-4bd2-acf5-a46df7767783 · outbound

This paper cites Exponentially weighted moving average charts for detecting concept drift.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Exponentially weighted moving average charts for detecting concept drift

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.043022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.680750Z digest=sha256:0bc90b2071c01cab2912bb4285a26c443e6e7f91f29d402d067881c467a9cdcd

Observation 0327314b-e2da-42a2-bb6a-bacd5711eac4 · outbound

This paper cites A grid density based framework for classifying streaming data in the presence of concept drift.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring A grid density based framework for classifying streaming data in the presence of concept drift

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:40.020313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.690038Z digest=sha256:d7e2db9645f37ab21c790b64f4ee280315e3c6e290bf52ada40e70c0f34e5c8b

Observation 830bded2-311a-4896-9500-a27458d21792 · outbound

This paper cites Learning from time-changing data with adaptive windowing.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Learning from time-changing data with adaptive windowing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.997555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.695155Z digest=sha256:e01337451eee40a686bc598bb58dd6ea6cbce61eee5cc1a2e47ce5279f8a7447

Observation c02b9303-576a-4f97-8bf6-f4ffc9c8b778 · outbound

This paper cites Detection of concept drift for learning from stream data.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Detection of concept drift for learning from stream data

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.974679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.702468Z digest=sha256:c0e96d5186008445cfef82835be75655d38facc22e82e00982ca2417997adb95

Observation f783dada-712d-48fd-93b1-68332d13ded9 · outbound

This paper cites Pca feature extraction for change detection in multidimensional unlabeled data.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Pca feature extraction for change detection in multidimensional unlabeled data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.947440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.710691Z digest=sha256:d5cb135c896467b17035c0c08d5bfad2fcea04dcc0cbccf1072a1109e534ba90

Observation e9fbaee4-7a3c-40fd-8a1e-a62407cae50b · outbound

This paper cites A pca-based change detection framework for multidimensional data streams: Change detection in multidimensional data streams.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring A pca-based change detection framework for multidimensional data streams: Change detection in multidimensional data streams

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.923876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.719677Z digest=sha256:70edaf1cae09fe154ca2576b6d95ffe3de22fe454a0df78240230cdce505f5b8

Observation c9c60553-018c-413f-9409-bffc78cd517f · outbound

This paper cites Toeplitz inverse covariance-based clustering of multivariate time series data.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Toeplitz inverse covariance-based clustering of multivariate time series data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.899867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.725186Z digest=sha256:bfd19137c33546adace6d71ca3bd2cf1df863c69729c85cff1fccd1c1539edd9

Observation 174faea3-e317-4803-8bb9-dd018898cc72 · outbound

This paper cites A unified process for visual- interactive labeling.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring A unified process for visual- interactive labeling

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.871994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.734096Z digest=sha256:ace6019bab151e4308ab79e13cfed77bb7abf827561273e9abd00797a03af174

Observation 302e3b76-5c54-413f-b50b-9d34c226c482 · outbound

This paper cites Analytic: An active learning system for trajectory classification.

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring Analytic: An active learning system for trajectory classification

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:25:39.842315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:25:39.742588Z digest=sha256:b578dab0dbb98357c878c6078a935503a6154d72a297519c476f3d52108eb8de

Pith citing papers

No inbound Pith citation observations are available.