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Paper Citation Record · LEDGER

Adversarial Machine Learning for Robust Password Strength Estimation

As of 8 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2506.00373.

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

pith.paper-citation-record.v1
2506.00373 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:23.496463Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

7 of 7 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdf51e96-19e2-4565-b119-4bffd505f3f1 · outbound

This paper cites International Journal of Computer Applications, 7(14), 1–5 (2010).

Adversarial Machine Learning for Robust Password Strength Estimation International Journal of Computer Applications, 7(14), 1–5 (2010)

Reference 1

Resolution
verified exact
doi, observed 2026-08-07T12:11:23.890399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:22.971891Z digest=sha256:6bb5502bfab90ab14ea8a73658a9f8a1065d08ea22b1e50c1783a89e5c1c8314

Observation 2fd431b1-af0c-4770-8805-6ff35efd5b66 · outbound

This paper cites In: 2024 Joint Int’l Conf.

Adversarial Machine Learning for Robust Password Strength Estimation In: 2024 Joint Int’l Conf

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:23.019159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:23.019159Z digest=sha256:aa42e4c9f81bd83d8bd90c310046599faebe0dedea13cb4d7c944e2b13addaec

Observation 8723b942-9a30-4eb0-bc59-f8c0fbd9d5ee · outbound

This paper cites In:2022 Second International Con- ference on Computer Science, Engineering and Applications (ICCSEA), pp.

Adversarial Machine Learning for Robust Password Strength Estimation In:2022 Second International Con- ference on Computer Science, Engineering and Applications (ICCSEA), pp

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:11:24.785930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:23.124667Z digest=sha256:b9615c7955121e69c78c76a9cc71a2138a2713d0e5fed7fa45334161d6039ca7

Observation ce2cad80-2947-4fdb-931e-354bd2977143 · outbound

This paper cites In: 2024 Global Conference on Wireless and Optical Technologies (GCWOT), pp.

Adversarial Machine Learning for Robust Password Strength Estimation In: 2024 Global Conference on Wireless and Optical Technologies (GCWOT), pp

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-07T12:11:24.525007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:23.232505Z digest=sha256:57f39bd31c439968afe0aafef6d689dbb429e5d9e91bd4e55389d69f41b157af

Observation 45ae8a07-33fa-47e0-bff4-8aa9db3fd4dc · outbound

This paper cites In: 2009 International Confer- ence on Advances in Computing, Control, and Telecommunication Technologies, pp.

Adversarial Machine Learning for Robust Password Strength Estimation In: 2009 International Confer- ence on Advances in Computing, Control, and Telecommunication Technologies, pp

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T12:11:23.682694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:23.311564Z digest=sha256:9be8a0a820b92311d2b664feff2022e875a4b7590e6c8eccfd14a11d43255116

Observation 8f300320-1e03-4438-9cb7-538a43c498cc · outbound

This paper cites In: 2020 IEEE 19th International 12 Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp.

Adversarial Machine Learning for Robust Password Strength Estimation In: 2020 IEEE 19th International 12 Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:23.421359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:23.421359Z digest=sha256:dbb47756e6cb29f7f0c66fdc4a07ebffd64623f7b0a16e49627faf6114a7e709

Observation fa9b6864-42ed-4e42-a068-d11af601bbce · outbound

This paper cites In: 2017 International Conference on Trends in Electronics and Informatics (ICEI) , pp.

Adversarial Machine Learning for Robust Password Strength Estimation In: 2017 International Conference on Trends in Electronics and Informatics (ICEI) , pp

Reference 7

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T12:11:24.154249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:23.496463Z digest=sha256:58448c5cd3170c3593341bf2d6431419d4aee4ad1c1e30446f1d9616361bf38e

Pith citing papers

No inbound Pith citation observations are available.