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Paper Citation Record · LEDGER

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree

As of 14 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2411.17091.

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

pith.paper-citation-record.v1
2411.17091 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:40:03.023231Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

57 of 57 outbound references displayed

  • verified exact0
  • verified fuzzy49
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8af7783-1294-4a5c-9b46-1e105b54bccf · outbound

This paper cites trace - Google Drive — drive.google.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree trace - Google Drive — drive.google.com,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 823b8346-0d38-4994-959e-4c475d30f784 · outbound

This paper cites 20-23Sep19 - Google Drive — drive.google.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree 20-23Sep19 - Google Drive — drive.google.com,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6d82d7a4-5086-4730-b0b7-5111213215e2 · outbound

This paper cites DTrace - FreeBSD Wiki — wiki.freebsd.org,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree DTrace - FreeBSD Wiki — wiki.freebsd.org,

Reference 3

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bdc289cf-62d4-4970-b3cc-d0646b626baa · outbound

This paper cites 2023 Cyber Security Statistics The Ultimate List Of Stats, Data & Trends - PurpleSec — purplesec.us,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree 2023 Cyber Security Statistics The Ultimate List Of Stats, Data & Trends - PurpleSec — purplesec.us,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.812141Z digest=sha256:34346fe70d17909b61875a8b5c07539754c97888a8556441c10d1e1f087064c3

Observation 2461098c-c313-4bfd-ba20-b3891d03bb2e · outbound

This paper cites Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow — github.com,” https://github.com/dmlc/xgboost, 2024.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow — github.com,” https://github.com/dmlc/xgboost, 2024

Reference 5

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raw_fallback, observed 2026-08-12T12:40:03.463570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.815236Z digest=sha256:19af71e519b469c4c855d649745816cc97764d60af36e9f36784b26245543871

Observation f4ebd051-2501-4d2d-9622-fa784b2da54b · outbound

This paper cites GitHub - scikit-learn/scikit-learn: scikit-learn: machine learning in Python — github.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree GitHub - scikit-learn/scikit-learn: scikit-learn: machine learning in Python — github.com,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2daad4bf-bfe7-4048-a27f-7eed4d9abf23 · outbound

This paper cites MITRE ATT&CK; — attack.mitre.org,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree MITRE ATT&CK; — attack.mitre.org,

Reference 7

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.821293Z digest=sha256:fcc6b1e1c1f0e0c18d4c347ba00fd36fa404805d6bca1a52cdfb34a7228a7ec1

Observation 1b61007c-f2a0-4061-92f3-d759c9204483 · outbound

This paper cites an unresolved cited work.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.824023Z digest=sha256:a3e4f72dcecb815d2a0ba967443d17f17b7a7973856d21c177f454d9526cf2d8

Observation 5b6ff1bc-4bd0-4bb8-be51-f79768134286 · outbound

This paper cites pytorch/torch/nn at main · pytorch/pytorch — github.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree pytorch/torch/nn at main · pytorch/pytorch — github.com,

Reference 9

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 62758583-e9d2-43f9-b232-3178e9f68464 · outbound

This paper cites Redis - The Real-time Data Platform — redis.io,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Redis - The Real-time Data Platform — redis.io,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.829440Z digest=sha256:90da6c568cacc2fffbf0e7080280013b93b6df65e59447268a9d9223b8eba478

Observation 5b40e39d-3e02-4876-ba3e-cd654f39899d · outbound

This paper cites {ATLAS}: A sequence-based learning approach for attack investigation,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree {ATLAS}: A sequence-based learning approach for attack investigation,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T12:40:02.832158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.832158Z digest=sha256:38c25ac713831f6762b0463138a69346b1d7331846662193a6bf33486bf24814

Observation 46162cc0-6e97-419b-b921-20ffac601e96 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Xgboost: A scalable tree boosting system,

Reference 12

Resolution
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no resolver link, observed 2026-08-12T12:40:02.834885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.834885Z digest=sha256:5ab154741399ab4212b3a84b7e5a901a96bac80d82b4e9284ee939d22777103c

Observation 8401be9d-ba1a-4c53-aa72-bd5ba142b0d7 · outbound

This paper cites Transparent computing,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Transparent computing,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.837639Z digest=sha256:a36bd603633d7ba9dd4d5b575a5ceed2a5c42243ff12b810309a1f282cb72ab4

Observation 4436e59f-3f36-43b9-b5c1-d13dc0bd1b8e · outbound

This paper cites GitHub - dhl123/Leonard: Usenix Security’23 — github.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree GitHub - dhl123/Leonard: Usenix Security’23 — github.com,

Reference 14

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raw_fallback, observed 2026-08-12T12:40:03.395187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.840340Z digest=sha256:50dba0d654e11167da9b0b7e8dee6a790b8ae6d3ed5cb2a4de8425bce9d61326

Observation b4768c85-4bc1-481b-ba00-6090045ae4d1 · outbound

This paper cites The case for learned prove- nance graph storage systems,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree The case for learned prove- nance graph storage systems,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.843166Z digest=sha256:71123760c2454d71dab45d7eb380c867fb0a39a0349a1d6a6d386b44082b4b59

Observation 546501c6-7afb-42a3-9c2a-6271af30b038 · outbound

This paper cites Event Tracing for Windows (ETW) - Windows drivers — learn.microsoft.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Event Tracing for Windows (ETW) - Windows drivers — learn.microsoft.com,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.845759Z digest=sha256:98dd1a7bf2e1fd7801fe9cd9ae213d74f016c17ede8abece396adb22b54af021

Observation f268bc30-53cd-4f29-bbe5-dea1856113e7 · outbound

This paper cites Deeplog: Anomaly de- tection and diagnosis from system logs through deep learning,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Deeplog: Anomaly de- tection and diagnosis from system logs through deep learning,

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c6640af4-0d56-419e-a0da-1e4783c75f3d · outbound

This paper cites {SEAL}: Storage- efficient causality analysis on enterprise logs with query-friendly com- pression,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree {SEAL}: Storage- efficient causality analysis on enterprise logs with query-friendly com- pression,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.851104Z digest=sha256:58421315e8dd05d85a86b045242c9d4e67d8e6b766b1b9f8a617900aac61b18f

Observation 19f5ce0c-76f1-4859-ba16-3eff2a36500f · outbound

This paper cites Spade: Support for provenance audit- ing in distributed environments,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Spade: Support for provenance audit- ing in distributed environments,

Reference 19

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raw_fallback, observed 2026-08-12T12:40:03.350539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.853904Z digest=sha256:a0f7d5aabeae0091260398023496623d3a3e61e5e5df04f5b14041528deafef2

Observation 8d1f0c00-8574-4448-a6dd-f8f4cbec8d55 · outbound

This paper cites The gzip home page — gzip.org,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree The gzip home page — gzip.org,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.856393Z digest=sha256:5b0164eeea1b660d5be2a9277a2c5d181b42518292f27502def8e95ebd20a811

Observation 147d4949-5fc2-473c-91ba-7506aa795d1d · outbound

This paper cites UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

Reference 21

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no resolver link, observed 2026-08-12T12:40:02.859208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.859208Z digest=sha256:30ea59a93e03b71a9a29a8133e59a19cd6a2a712542b329ace3389a656a86fbb

Observation 0574c5ce-9593-4013-a9e3-a9a2004fb5c9 · outbound

This paper cites {FRAPpuccino}: Fault-detection through runtime analysis of prove- nance,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree {FRAPpuccino}: Fault-detection through runtime analysis of prove- nance,

Reference 22

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raw_fallback, observed 2026-08-12T12:40:03.334486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.862410Z digest=sha256:a1bc0dd36227b9687f456065f504d05f2eebefb277d91eb585f4a27158b4507e

Observation 70fcb9e3-c5e3-4a76-9d51-aac01c38d4d3 · outbound

This paper cites Towards scalable cluster auditing through grammatical inference over provenance graphs,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Towards scalable cluster auditing through grammatical inference over provenance graphs,

Reference 23

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raw_fallback, observed 2026-08-12T12:40:03.326268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.865154Z digest=sha256:b7c362ab9c542b140904375df6ad6225a74fa178d298aa77d9eb1ff705d1d33a

Observation dbbf7363-26f5-4c2c-9c38-27d6adfdd60b · outbound

This paper cites Tactical provenance analysis for endpoint detection and response systems,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Tactical provenance analysis for endpoint detection and response systems,

Reference 24

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raw_fallback, observed 2026-08-12T12:40:03.317787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.868281Z digest=sha256:d1ea1c90ab91a75586b493fe932646d919266b51bca3b706991d0e31507007d7

Observation 8e653d12-38a6-464a-814e-ba7b16969e5f · outbound

This paper cites Nodoze: Combatting threat alert fatigue with automated provenance triage,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Nodoze: Combatting threat alert fatigue with automated provenance triage,

Reference 25

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no resolver link, observed 2026-08-12T12:40:02.870859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.870859Z digest=sha256:240a7e287a69cf2c706188f47b493c1343bf8dad208f62f2efa91afae384a4fc

Observation 67528f42-4142-4913-aeaf-c9da42ad958e · outbound

This paper cites This is why we can’t cache nice things: Lightning-fast threat hunting using suspicion-based hierarchi- cal storage,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree This is why we can’t cache nice things: Lightning-fast threat hunting using suspicion-based hierarchi- cal storage,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.873534Z digest=sha256:3dc34cef4dd3f894222cd741eb27697db3c0d84dc3c6730f69838d48ecb72b17

Observation 57537d42-da32-40a9-935d-fbec6af68c5e · outbound

This paper cites Omegalog: High-fidelity attack investigation via transparent multi-layer log analy- sis,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Omegalog: High-fidelity attack investigation via transparent multi-layer log analy- sis,

Reference 27

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.876185Z digest=sha256:8d836a9e3caebd02a5e0c049985d0584a3a45eecee8f6b54ae29d40c7bf431af

Observation ab637b6b-b017-4a98-b003-7f6f7150a866 · outbound

This paper cites Chapter 7. System Auditing Red Hat Enterprise Linux 6 — Red Hat Customer Portal — access.redhat.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Chapter 7. System Auditing Red Hat Enterprise Linux 6 — Red Hat Customer Portal — access.redhat.com,

Reference 28

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raw_fallback, observed 2026-08-12T12:40:03.287540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.878904Z digest=sha256:314fa05292d917fd852a1018eb4b62847bdd85afe119fd618f8f5443c0815712

Observation b0826bc5-2f46-49c4-a151-cdac240cb808 · outbound

This paper cites {SLEUTH}: Real- time attack scenario reconstruction from {COTS} audit data,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree {SLEUTH}: Real- time attack scenario reconstruction from {COTS} audit data,

Reference 29

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raw_fallback, observed 2026-08-12T12:40:03.279022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.881740Z digest=sha256:bb17bc4a0ae0f7f6c8a2382c51c70a11636ceb98fb462062676ba9a8384a174d

Observation 13e2b67d-2748-4dbd-83af-c41718f1362e · outbound

This paper cites {Dependence- Preserving} data compaction for scalable forensic analysis,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree {Dependence- Preserving} data compaction for scalable forensic analysis,

Reference 30

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raw_fallback, observed 2026-08-12T12:40:03.270552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.884447Z digest=sha256:2505f95e54af94fef909fdcfa5812bdb46e88069bfdb9e093d07dd8efc71f117

Observation 53baac74-5bbd-41e3-880a-a3da6d6665b8 · outbound

This paper cites Sok: History is a vast early warning system: Auditing the provenance of system intrusions,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Sok: History is a vast early warning system: Auditing the provenance of system intrusions,

Reference 31

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no resolver link, observed 2026-08-12T12:40:02.887092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.887092Z digest=sha256:d899f0676203bebdf613336ed216e25b31bcaebce28e8f39752832e3d9891fa7

Observation 7c78a38f-4dad-492b-b477-a82a26f146ee · outbound

This paper cites Faust: Striking a bargain between forensic au- diting’s security and throughput,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Faust: Striking a bargain between forensic au- diting’s security and throughput,

Reference 32

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raw_fallback, observed 2026-08-12T12:40:03.257474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.889786Z digest=sha256:76a5efb0803336823808c25e674a9ae5e8448a994fb1ad009c2b275c49f5195e

Observation 6f7e2db2-737a-400a-8688-c7b0fc951933 · outbound

This paper cites Backtracking intrusions,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Backtracking intrusions,

Reference 33

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raw_fallback, observed 2026-08-12T12:40:03.249498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.892517Z digest=sha256:c6b060a212d3dda088ff043c29c7f968fbcd4baf39d9d28a9cb415f6841f8cbc

Observation dfd41914-f4ef-46f9-a305-f7ddfecbb830 · outbound

This paper cites High accuracy attack provenance via binary-based execution partition.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree High accuracy attack provenance via binary-based execution partition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.241305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.895144Z digest=sha256:40b084a8daa14c1e7aef054e1a34af9e6751bdb5b5761c3f684b2e8d31cbdd60

Observation caa34d17-e57c-44f8-b30e-267351595595 · outbound

This paper cites Loggc: garbage collecting audit log,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Loggc: garbage collecting audit log,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.232609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.897852Z digest=sha256:ba7bc522f13eec49fda60f04cc773239f26fd9ae9c3122ec982327720f6ad1d3

Observation 3f62cf73-14c4-48f9-ad4f-138ee900da02 · outbound

This paper cites Threat detection and investigation with system-level provenance graphs: a survey,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Threat detection and investigation with system-level provenance graphs: a survey,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.223830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.900443Z digest=sha256:ae3e4a0556d3d06898947997783e59a0d6ec476c89ff61a80af9dfe301425c24

Observation 8427e947-fb4a-4c6b-9e4d-146b6a128451 · outbound

This paper cites Propatrol: Attack investigation via extracted high-level tasks,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Propatrol: Attack investigation via extracted high-level tasks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.215537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.903269Z digest=sha256:a02afff7e182c47d1e158a5d73b6c09163193a092cabe89c41039b029714fd07

Observation 3879afd0-5ca1-4f6b-bd0f-5243df0f66a0 · outbound

This paper cites Fast memory-efficient anomaly detection in streaming heterogeneous graphs,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Fast memory-efficient anomaly detection in streaming heterogeneous graphs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.207151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.905844Z digest=sha256:d77cca4b0f992411275e8d925099b0c4b72441f8d2a2f5f3b1d32786a7a4c8a2

Observation bdf5df6a-aa78-4e54-ba65-401016fee62e · outbound

This paper cites On the forensic validity of approximated audit logs,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree On the forensic validity of approximated audit logs,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.198917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.908461Z digest=sha256:4f69cf59fa4b0436b6dbd3e5a5f29c1bab723937e4c540b8fcb2f529330d533e

Observation 3c237453-6288-4623-b262-48ed73241eba · outbound

This paper cites Poirot: Aligning attack behavior with kernel audit records for cyber threat hunting,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Poirot: Aligning attack behavior with kernel audit records for cyber threat hunting,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.190469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.911067Z digest=sha256:737dda98d36cdeb414beb1d07f7d67f66aee1617ac734d882b66a1de108b1d6f

Observation 9d25db7e-d29a-4d3c-8a2a-d997fa257591 · outbound

This paper cites Holmes: real-time apt detection through correlation of suspicious information flows,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Holmes: real-time apt detection through correlation of suspicious information flows,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T12:40:02.913710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:02.913710Z digest=sha256:09d25d116fa19d3d1a46ea4852119e8a726d47eb4a79ac178e7b0bc0a6f18769

Observation 50649fff-3ebf-44a2-b9e0-0080d10b7069 · outbound

This paper cites Darpa OpTC,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Darpa OpTC,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.177738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.916417Z digest=sha256:542ecf0cc661630eb722c074287175611591376a48cb0c4746543c5a16397299

Observation 7247195b-46c8-4857-b507-8101337a739a · outbound

This paper cites MySQL — mysql.com,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree MySQL — mysql.com,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.170031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.919099Z digest=sha256:013cce87244621337eb968913e420cdc57684a569886ca7c5067e852593a9fde

Observation 266453c7-c478-49f3-a80f-6f5a204e8866 · outbound

This paper cites Hercule: Attack story reconstruction via com- munity discovery on correlated log graph,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Hercule: Attack story reconstruction via com- munity discovery on correlated log graph,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.162387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.921666Z digest=sha256:ff163e6228dfe845042a574d5cc19465614eabec275e187e9b2c28e42a510a18

Observation d7c91a3f-b10a-4eaf-a30e-af35fa68f341 · outbound

This paper cites Learning string-edit distance,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Learning string-edit distance,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.154757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.924535Z digest=sha256:8e2a0fdaf640b1d2b3331f34c2ef6b9f5df4e1129f9a30072af04bda4663efa2

Observation 34d47198-abb3-4db5-bf04-3b846b707c1c · outbound

This paper cites Provtalk: Towards interpretable multi-level provenance analysis in networking functions virtualization (nfv).

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Provtalk: Towards interpretable multi-level provenance analysis in networking functions virtualization (nfv)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.146625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.927282Z digest=sha256:2a319ed1c69e8dc92fb78fc848420fb0c49d37a4a262835b8f415740cf4a7f62

Observation b855333e-4432-4b9c-a272-ba89b689db18 · outbound

This paper cites Nodemerge: Template based efficient data reduction for big-data causality analysis,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Nodemerge: Template based efficient data reduction for big-data causality analysis,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.138284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.930031Z digest=sha256:de62ffbb8ea88aab1eb95f7cf1edc1cd2a1a92c2a53f55a723a33455b887fdac

Observation 209e7996-f6ba-4a39-9265-078e59b2112d · outbound

This paper cites Deepcase: Semi-supervised contextual analysis of security events,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Deepcase: Semi-supervised contextual analysis of security events,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.130033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.932750Z digest=sha256:018a684350abcec799f8fa6be02103424869009015e2d7d7936f43b3922bd3d7

Observation 5765528a-9e91-4b5b-a4a9-a03d633ba6d4 · outbound

This paper cites Pagoda: A hybrid approach to enable efficient real-time provenance based intrusion detection in big data environments,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Pagoda: A hybrid approach to enable efficient real-time provenance based intrusion detection in big data environments,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.121837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.935453Z digest=sha256:6c7aebc734bbf4f9dfec5431c0d54a032566240dbbce5c258abf1fc2c1f0a9fb

Observation f52d73e0-437d-4d75-b920-1346b67f7128 · outbound

This paper cites Unifying intrusion detection and forensic analysis via provenance awareness,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Unifying intrusion detection and forensic analysis via provenance awareness,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.113163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.938056Z digest=sha256:b14650013bfa07d0403f1388f54329d8d76506e806ee6f9f3bd021822ab47977

Observation 7d46c019-1fd5-4f4c-9197-0ddfa9fb68f2 · outbound

This paper cites P-gaussian: provenance-based gaussian distribution for detecting intrusion behavior variants using high efficient and real time memory databases,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree P-gaussian: provenance-based gaussian distribution for detecting intrusion behavior variants using high efficient and real time memory databases,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.103921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.940648Z digest=sha256:692e5a9bd24cee1ca6630fbf24f8a745ec55e70aa5ac44d68de38d2ce79e4358

Observation 38656318-55b4-45b5-890a-8cc3687919d4 · outbound

This paper cites High fidelity data reduction for big data security dependency analyses,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree High fidelity data reduction for big data security dependency analyses,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.094966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:02.943321Z digest=sha256:4d7325d33430e422fef4e5dfa6b5ba2fe8229d09e36b9501f2c08419ee19c3d1

Observation 900c14f6-2d00-4705-80c1-855d69a0acf7 · outbound

This paper cites Depcomm: Graph summarization on system audit logs for attack investigation,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Depcomm: Graph summarization on system audit logs for attack investigation,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.086114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:03.010355Z digest=sha256:5c1f7c6ca1336ae2ae3540ea57da575462ea8b0a789559d81a9051de5f8a6849

Observation 02572bb3-842a-4e66-b99b-a1e4b9d702af · outbound

This paper cites Uiscope: Accurate, instrumentation-free, and visible attack investigation for gui applica- tions.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Uiscope: Accurate, instrumentation-free, and visible attack investigation for gui applica- tions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.077309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:03.013683Z digest=sha256:c2f69d6ee50da9ec0c7ac63511ff876053ff9d29bee9e90e955a5024553538c5

Observation 66fa321b-5537-4277-bcd4-aead2910444a · outbound

This paper cites Watson: Abstracting behaviors from audit logs via aggregation of contextual semantics.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Watson: Abstracting behaviors from audit logs via aggregation of contextual semantics

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.068448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:03.017154Z digest=sha256:fd1a82c8a9ecb2cb3642f2eaa738c509155c4aed724d49c5b7e79527e225a312

Observation 0fe12378-9bef-4ec9-bcd4-b9f52e8c3ca4 · outbound

This paper cites Shadewatcher: Recommendation-guided cyber threat analysis using system audit records,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Shadewatcher: Recommendation-guided cyber threat analysis using system audit records,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T12:40:03.020483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:40:03.020483Z digest=sha256:0d81f484742a128fb466bbeeeb785995bfd2101a3244b257d16a56832f5dd0f1

Observation 831cdad1-8118-474f-b221-a5ff90b76b7c · outbound

This paper cites Understanding bag-of-words model: a statistical framework,.

LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree Understanding bag-of-words model: a statistical framework,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:40:03.054694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:40:03.023231Z digest=sha256:462d1d3417ee3c0538675082cfd3acb0119728dd52c674c1a263f0c16e083040

Pith citing papers

No inbound Pith citation observations are available.