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Paper Citation Record · LEDGER

Machine Learning-Based Security Policy Analysis

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.00085.

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

pith.paper-citation-record.v1
2501.00085 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:03:39.364646Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact3
  • verified fuzzy8
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06ed66fe-8c91-462a-b511-21245c59545b · outbound

This paper cites Quick start to write a custom SELinux policy,.

Machine Learning-Based Security Policy Analysis Quick start to write a custom SELinux policy,

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-10T23:03:40.303487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.020307Z digest=sha256:8f4c21253543d0abb8b3918a2eb749d21832223abcd99dc71204932136f5e146

Observation f24ae795-8fa2-4867-8e73-a03078934a03 · outbound

This paper cites Visualization-based policy analysis for SELinux: Framework and user study,.

Machine Learning-Based Security Policy Analysis Visualization-based policy analysis for SELinux: Framework and user study,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.788628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.039589Z digest=sha256:6d3aa48c83b02389c68522241c5c2c6c6f0a8d4ed1df63e90620e8da066fcb32

Observation a8bbce12-93fd-496f-b92d-e75e4acaef5b · outbound

This paper cites What is SELinux?,.

Machine Learning-Based Security Policy Analysis What is SELinux?,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.776562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.044015Z digest=sha256:6b81c16bcc600cb3c61be02a20225d6e6e667b752eb1bbc4e3ee4797e42acf3e

Observation cfe3ec02-fd63-4955-a33f-745cf1f64e62 · outbound

This paper cites Security-Enhanced Linux for mortals,.

Machine Learning-Based Security Policy Analysis Security-Enhanced Linux for mortals,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.598797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.048219Z digest=sha256:f10aff005bc4f2a75d7aa06f3a5e2a084b9e3d33c6b071768c53858ba27dd2dc

Observation b2447f5d-34b2-4be4-9dc7-c7c757a24bca · outbound

This paper cites Mayer, K.

Machine Learning-Based Security Policy Analysis Mayer, K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.586064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.182147Z digest=sha256:08125fa73ad407b9ec33c1835e9b5fe11a43b2def287fcf120db4f6c09cbd7a4

Observation 9448f4de-4de6-4d29-89e1-0460000293f6 · outbound

This paper cites SETools,.

Machine Learning-Based Security Policy Analysis SETools,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.572872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.248981Z digest=sha256:2a9806f9e0bcfc043e13d285fd655120133c8eaf1ea963090fda4ba840a52ee3

Observation c8c202a1-1e90-4eab-9d3e-e4378af2848b · outbound

This paper cites Automated SELinux RBAC Policy Verification Using SMT.

Machine Learning-Based Security Policy Analysis Automated SELinux RBAC Policy Verification Using SMT

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:03:40.177537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.291435Z digest=sha256:e0a08201f174a1d1c464d41b7d55b471f6a93503347bc21cbbca9e279902532c

Observation 9f5e26da-e8e3-43b8-abd3-b50cc414abdf · outbound

This paper cites node2vec: Scalable Feature Learning for Networks,.

Machine Learning-Based Security Policy Analysis node2vec: Scalable Feature Learning for Networks,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T23:03:39.338810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:03:39.338810Z digest=sha256:f9eb23e2d46403fd5fdc635036c7b035bb8951d7fde652a71e47164968b9cd49

Observation 084af0ba-dbc0-467a-8d1e-0e00fd6613ae · outbound

This paper cites Graph-Powered Mining and Refining of SELinux Security Policies,.

Machine Learning-Based Security Policy Analysis Graph-Powered Mining and Refining of SELinux Security Policies,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.493480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.341997Z digest=sha256:6826ff1af38759dc91ec43964d8a23e981cdf2edc1c95f5a8c8bbff85e5b4162

Observation 7bb4a6a6-f54f-46c8-b86b-01a604c53517 · outbound

This paper cites Neo4j Graph Database Platform,.

Machine Learning-Based Security Policy Analysis Neo4j Graph Database Platform,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.401343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.345793Z digest=sha256:8a6a4f6d18cbed55cf1703202eeb8c9a6cb2e7645f783f93101b5e5416040dd6

Observation c883eb11-37f9-4a31-aa08-0e06d0723ba6 · outbound

This paper cites Operating System Security,.

Machine Learning-Based Security Policy Analysis Operating System Security,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:03:40.388141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.349370Z digest=sha256:4277627acd013346aca0fa57f2ec378afb3c4cfd6af8e447e268bf996a3ea30b

Observation 9dbede92-c84f-49c2-a5bf-19f9a458492c · outbound

This paper cites Runtime Verification of Linux Kernel Security Module.

Machine Learning-Based Security Policy Analysis Runtime Verification of Linux Kernel Security Module

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:03:40.032991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.352395Z digest=sha256:b397c7a37f6d20a57e8f2586ace9c9cb409eb522e8556efd9f8e00d2fc33cf6e

Observation 16cfe694-3ccc-423f-a078-35b8648f9f4b · outbound

This paper cites SPLinux: An Information Flow Secure Linux,.

Machine Learning-Based Security Policy Analysis SPLinux: An Information Flow Secure Linux,

Reference 13

Resolution
malformed identifier
doi_truncated, observed 2026-08-10T23:03:39.929831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.357200Z digest=sha256:9ebc55b299bc6565ef60f83c3ffe8e02ceeeacbf35daa04b2aa2674d9220a5bf

Observation 03c3ea0a-0b26-4193-a318-2f45bc31e0a4 · outbound

This paper cites Towards a formal model for security policies specification and validation in the selinux system,.

Machine Learning-Based Security Policy Analysis Towards a formal model for security policies specification and validation in the selinux system,

Reference 14

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T23:03:39.718241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.360885Z digest=sha256:1773c823b7ec4629cdc3483707135e003ebc09eacef1eb3942f1ba4743fc144a

Observation c5c9b3fa-9cb7-4edd-91cd-051678b50f6d · outbound

This paper cites SPRT: Automatically Adjusting SELinux Policy for Vulnerability Mitigation,.

Machine Learning-Based Security Policy Analysis SPRT: Automatically Adjusting SELinux Policy for Vulnerability Mitigation,

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T23:03:39.601467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T23:03:39.364646Z digest=sha256:dafcb7ec1fb4ea0748e5d16f6a4954f01e8c70110ee3bb04071d8c6a0505837a

Pith citing papers

No inbound Pith citation observations are available.