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Paper Citation Record · LEDGER

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach

As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1908.07886.

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

pith.paper-citation-record.v1
1908.07886 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:58:36.755661Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

12 of 12 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d76941eb-5541-4fe7-b5e6-de5be05be2d7 · outbound

This paper cites Journal of Network and Computer Applications 68, 90–113 (2016).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Journal of Network and Computer Applications 68, 90–113 (2016)

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T11:58:36.518067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:58:36.518067Z digest=sha256:dbcc3226aea5f85aa2b4a369067b7677721ec9a3a50dd023e2a7afe989fdfbd4

Observation 7f90671e-e134-474c-aca6-9a4b1820a02a · outbound

This paper cites International Journal of Computer Applications 156(10) (2016).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach International Journal of Computer Applications 156(10) (2016)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:58:37.133036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.591061Z digest=sha256:a95a52223173827b55c602c1baa9abedc36906aa3bcc01692413758bddbe304f

Observation 159f28a4-2657-4bd8-8539-2549a615b49e · outbound

This paper cites In: Proceedings of the fifth annual workshop on Computational learning theory.

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach In: Proceedings of the fifth annual workshop on Computational learning theory

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T11:58:36.623725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:58:36.623725Z digest=sha256:2b81bf3138c5db6495521e1d090311a218fe7ab8d147400c02772f0d5328d16b

Observation fca75845-3ee4-4047-86e4-f3f8f7769505 · outbound

This paper cites Machine learning 45(1), 5–32 (2001).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Machine learning 45(1), 5–32 (2001)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T11:58:36.628674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:58:36.628674Z digest=sha256:60e6a75b63ca34040883508ce8ef667b5548d387882c93a231d821888222bb3d

Observation e467be4d-0f04-4df6-955c-16faa36709cf · outbound

This paper cites white paper (2014).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach white paper (2014)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:58:37.081483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.633444Z digest=sha256:1e10ac518aab722f559207a8cb85162eddc5187563e69f75d675a0b5f7a243e1

Observation 6504ad87-74f7-43d7-a288-400aa8b40fb1 · outbound

This paper cites Decision Support Systems 95, 91 – 101 (2017).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Decision Support Systems 95, 91 – 101 (2017)

Reference 6

Resolution
verified exact
doi, observed 2026-08-14T11:58:36.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.637662Z digest=sha256:195d7b9a60684375b20da35fa0d75dab54190cbc16123f6ce5a7b00b8f6649d3

Observation f7c2a057-5885-4670-a0c6-ada5b2a90f5e · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach XGBoost: A Scalable Tree Boosting System

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T11:58:36.641658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:58:36.641658Z digest=sha256:c15810f3406ae343250bf49fce7783f4c574d29cfe3ea90f41d4bf2aa5a412cb

Observation 6b994f4e-8e30-4a7e-a85b-93fecd7177a0 · outbound

This paper cites In: IEEE International Conference on Networking, Sensing and Con- trol, 2004.

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach In: IEEE International Conference on Networking, Sensing and Con- trol, 2004

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:58:37.051023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.672310Z digest=sha256:a235fc200c68226755d44d164bf5683ad40ee8cccd9e9e2850bc739a59e1d40b

Observation 7df59385-3b41-43ef-80af-60c072e360e1 · outbound

This paper cites Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods.

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T11:58:36.743418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:58:36.743418Z digest=sha256:0f94a3f3e387be6ede033f9b26e920b910a0432f8cca6b14b46feb8b0cff1118

Observation 703397b1-54fa-4048-9028-9a917a5b743d · outbound

This paper cites Expert Systems with Applications 35(4), 1721 – 1732 (2008).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Expert Systems with Applications 35(4), 1721 – 1732 (2008)

Reference 10

Resolution
verified exact
doi, observed 2026-08-14T11:58:36.864253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.746787Z digest=sha256:7d9ed2abf1e0e37d39b58b617d2e1133fd413630943e79838bee4a43b8f33d86

Observation d8775367-ccdd-4867-ab6b-4e09a4d09891 · outbound

This paper cites Ethereum project yellow paper 151, 1–32 (2014).

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Ethereum project yellow paper 151, 1–32 (2014)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:58:36.981495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.751782Z digest=sha256:309893e69b152208b60f4d5d03a5dc30fad2110b49577caf613df569e7ca5d3a

Observation 0033a2d0-afb1-4631-a882-fef9a5439946 · outbound

This paper cites an unresolved cited work.

Detecting Fraudulent Accounts on Blockchain: A Supervised Approach Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:58:36.960404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T11:58:36.755661Z digest=sha256:736af54a514e86fdebc3d1012f943ac8e8b5ba1792d3ec2633be786fb9ab7569

Pith citing papers

No inbound Pith citation observations are available.