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Paper Citation Record · LEDGER

Learning the Language of NVMe Streams for Ransomware Detection

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.05011.

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

pith.paper-citation-record.v1
2502.05011 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:40:37.403625Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

36 of 36 outbound references displayed

  • verified exact8
  • verified fuzzy22
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 525a4cad-0953-49fd-aef4-84378106e641 · outbound

This paper cites Selcuk Uluagac.

Learning the Language of NVMe Streams for Ransomware Detection Selcuk Uluagac

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:40:37.282512Z digest=sha256:4280734d15745a51bb1d8e492ca44d1cf187df239de84795e553cc6d066a1377

Observation fd3437f3-4fe6-4e34-9c95-f45cfcf0890a · outbound

This paper cites Rafiqul Islam, Md.

Learning the Language of NVMe Streams for Ransomware Detection Rafiqul Islam, Md

Reference 2

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raw_fallback, observed 2026-08-08T20:40:38.891374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.287217Z digest=sha256:ab39316ff6ec1a77dd553862cd127885cd5d105250ffd3c66206ebcfb08a41ab

Observation ed659429-8cf8-48b7-81d8-911f9bc6897c · outbound

This paper cites Ssd-insider: Internal defense of solid-state drive against ransomware with perfect data recovery.

Learning the Language of NVMe Streams for Ransomware Detection Ssd-insider: Internal defense of solid-state drive against ransomware with perfect data recovery

Reference 3

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5b2569e4-1612-47fd-aca4-93aa814efd2c · outbound

This paper cites Mimosaftl: Adding secure and practical ransomware defense strategy to flash translation layer.

Learning the Language of NVMe Streams for Ransomware Detection Mimosaftl: Adding secure and practical ransomware defense strategy to flash translation layer

Reference 4

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arxiv_id_nonexistent, observed 2026-08-08T20:40:38.635902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.294731Z digest=sha256:84085519e4bd28a46094780f738d871a0a0e99b756cf528a44e97936abe1b690

Observation e07a51cc-0e9f-440f-b543-417c63b980c6 · outbound

This paper cites Ransom access memories: Achieving practical ransomware protection in cloud with DeftPunk.

Learning the Language of NVMe Streams for Ransomware Detection Ransom access memories: Achieving practical ransomware protection in cloud with DeftPunk

Reference 5

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raw_fallback, observed 2026-08-08T20:40:38.872263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.298203Z digest=sha256:8afea100d64b0d8e268e2f47df5241c24a1eb83a7f787aa906d396227355590b

Observation f7e53653-9edc-4665-9cda-9deb5461468a · outbound

This paper cites Redemption: Real-time protection against ransomware at end-hosts.

Learning the Language of NVMe Streams for Ransomware Detection Redemption: Real-time protection against ransomware at end-hosts

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.301852Z digest=sha256:78cdf2b107adf813a4a942345774b324529d33269ae58634076d7b3a6a86be5b

Observation ae80f8b2-273f-4c6b-9498-9f9164337b0f · outbound

This paper cites Ransap: An open dataset of ransomware storage ac- cess patterns for training machine learning models.

Learning the Language of NVMe Streams for Ransomware Detection Ransap: An open dataset of ransomware storage ac- cess patterns for training machine learning models

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.305651Z digest=sha256:c7822a125fb935303fa2df6391c759b60aed46dbfbdc4a9c70b43fb8075fc6ec

Observation 8dd8a7a2-f9e4-442b-a47f-6c6f7af5fbc9 · outbound

This paper cites On the Generalizability of Machine Learning-based Ransomware Detection in Block Storage.

Learning the Language of NVMe Streams for Ransomware Detection On the Generalizability of Machine Learning-based Ransomware Detection in Block Storage

Reference 8

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local_arxiv, observed 2026-08-08T20:40:38.376642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.308992Z digest=sha256:df7aa0e29ad91fe6526e2e2f7b2a059be656d1abef273361fe790b7e9b5f3ca3

Observation e6bc8a29-8c25-4483-a095-6a752aa6ca2d · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Learning the Language of NVMe Streams for Ransomware Detection Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 9

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raw_fallback, observed 2026-08-08T20:40:38.841377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.312542Z digest=sha256:eebece04c455301bd71d365b70b57b76eaf301d0c26f0c4c570774fa2c16c247

Observation 155b2c7b-9119-4b32-83c2-769e794675e1 · outbound

This paper cites Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.

Learning the Language of NVMe Streams for Ransomware Detection Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:40:37.315951Z digest=sha256:255c6af6389320146f3d338a93cee0652fd1c6e62d3d20357e982eb6503a34e9

Observation b4301c42-9271-43ed-bef1-00493efefb2b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Learning the Language of NVMe Streams for Ransomware Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:40:37.319646Z digest=sha256:36f83d4e565a73e7eb62e327b356059541f14e7781eddc9945719f8e581d1202

Observation 64c66f37-cbb2-46e1-b612-a34afd1756d5 · outbound

This paper cites Ramalho, Joaquim J.S.

Learning the Language of NVMe Streams for Ransomware Detection Ramalho, Joaquim J.S

Reference 12

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arxiv_id_nonexistent, observed 2026-08-08T20:40:38.341386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.323508Z digest=sha256:290c109500e58862410dd144e24f3b2fca5feb4caa8ad72312466fb243d1b3c9

Observation 4c563f39-fae4-4929-ab44-96066622d51e · outbound

This paper cites Poster: Locally virtualized environment for mitigating ransomware threat.

Learning the Language of NVMe Streams for Ransomware Detection Poster: Locally virtualized environment for mitigating ransomware threat

Reference 13

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arxiv_id_nonexistent, observed 2026-08-08T20:40:38.179787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.326744Z digest=sha256:8bb989822d411b05c609f9b6a1aad2afc10d1ff75a577b582af6b08a0fe7e841

Observation cde7dcca-86e6-45b6-b6db-1c3276195846 · outbound

This paper cites A storage-level detection mechanism against crypto-ransomware.

Learning the Language of NVMe Streams for Ransomware Detection A storage-level detection mechanism against crypto-ransomware

Reference 14

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arxiv_id_nonexistent, observed 2026-08-08T20:40:38.025898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.330012Z digest=sha256:1973b87be943de2c314309d3f0c41bf63a135551a41538236ab65fbb7c516251

Observation 780d42bb-d295-47ad-b424-04a6904bd78e · outbound

This paper cites Amoeba: An autonomous backup and recovery ssd for ransomware attack defense.

Learning the Language of NVMe Streams for Ransomware Detection Amoeba: An autonomous backup and recovery ssd for ransomware attack defense

Reference 15

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raw_fallback, observed 2026-08-08T20:40:38.831559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.333345Z digest=sha256:a17f7be9009310ebc7cc3f2659a917f5943371cf00ed4745e3ca0fc8b11c140b

Observation 4bd45b2b-d945-4dc9-b72a-0eb966b5e6c1 · outbound

This paper cites Ssd-assisted ransomware detection and data recovery techniques.

Learning the Language of NVMe Streams for Ransomware Detection Ssd-assisted ransomware detection and data recovery techniques

Reference 16

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raw_fallback, observed 2026-08-08T20:40:38.821541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.336656Z digest=sha256:4ba2bdc4c952e325fcbde7900e43fa0355969416a2359a055e4227c03a59c55f

Observation 49f531df-93c0-4a44-864f-412703d43921 · outbound

This paper cites Machine learning-based ransomware detection using low-level memory access patterns obtained from live-forensic hypervisor.

Learning the Language of NVMe Streams for Ransomware Detection Machine learning-based ransomware detection using low-level memory access patterns obtained from live-forensic hypervisor

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.339880Z digest=sha256:b7ce0cd2a4aa1afca73a5ec1ed42cdc4285b8672361ad26ab05ac8239e8f315a

Observation 821e59b7-eb45-4913-8e5e-88fba3072e62 · outbound

This paper cites Real-time defense system using ebpf for machine learning-based ransomware detection method.

Learning the Language of NVMe Streams for Ransomware Detection Real-time defense system using ebpf for machine learning-based ransomware detection method

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.343205Z digest=sha256:b85e5e8beb8d3841d6ce46d60c27d1d27b3b74202fc9ccd8e06b6b71d25d97aa

Observation b42a5af5-abb1-48bd-8ce0-93fc9492e231 · outbound

This paper cites Minding the semantic gap for effective storage-based ransomware defense.

Learning the Language of NVMe Streams for Ransomware Detection Minding the semantic gap for effective storage-based ransomware defense

Reference 19

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raw_fallback, observed 2026-08-08T20:40:38.787937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.346382Z digest=sha256:3bf0256125658607d18547db2fd497542e2618a047052106aaa4588b8f645751

Observation 2708f79c-ea98-4e15-9ed4-7b933a386ec9 · outbound

This paper cites Xgboost: A scalable tree boosting system.

Learning the Language of NVMe Streams for Ransomware Detection Xgboost: A scalable tree boosting system

Reference 20

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arxiv_id_nonexistent, observed 2026-08-08T20:40:37.856648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.349824Z digest=sha256:5394eaea0dfc543638cc1a655d2e46a7f41b39e8b98fae13ef767eb113a8e325

Observation 049a97ff-b208-4c9a-b09a-0328ed3637b7 · outbound

This paper cites Travelling the hypervisor and ssd: A tag-based approach against crypto ransomware with fine-grained data recovery.

Learning the Language of NVMe Streams for Ransomware Detection Travelling the hypervisor and ssd: A tag-based approach against crypto ransomware with fine-grained data recovery

Reference 21

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arxiv_id_nonexistent, observed 2026-08-08T20:40:37.658274Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.353084Z digest=sha256:a05990fb77122fe81c2c32b6d0511b6b7bb226987fc16e2dede32b38407b493d

Observation d41f8e9f-22b8-41d0-b55a-d76d1b1ec413 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

Learning the Language of NVMe Streams for Ransomware Detection BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 22

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.356277Z digest=sha256:e0da6bdf2382cca0602164c8c414204c24cc238a1a7814c1225c3569c434794e

Observation ddfca137-3983-45d5-9622-977a3bf6718d · outbound

This paper cites Portuguese Named Entity Recognition using BERT-CRF.

Learning the Language of NVMe Streams for Ransomware Detection Portuguese Named Entity Recognition using BERT-CRF

Reference 23

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local_arxiv, observed 2026-08-08T20:40:37.457154Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.363065Z digest=sha256:2e3c06a46951f9a9a2f79ca0c9ac42faaa33055922545912f08247216a696f59

Observation 8106ed4f-9e51-4556-b153-dbfd8591a3a7 · outbound

This paper cites A survey on deep learning for named entity recognition : Extended abstract.

Learning the Language of NVMe Streams for Ransomware Detection A survey on deep learning for named entity recognition : Extended abstract

Reference 24

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raw_fallback, observed 2026-08-08T20:40:38.755220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.366763Z digest=sha256:b7fcebeac93982f00e762ff1c3a440a1a7429d5328db364e1146fc64eaa4e8d2

Observation 74dea177-509a-49ab-afb4-eb6ed6bb77f2 · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

Learning the Language of NVMe Streams for Ransomware Detection GPT-NER: Named Entity Recognition via Large Language Models

Reference 25

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no resolver link, observed 2026-08-08T20:40:37.370046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:40:37.370046Z digest=sha256:504928d0a13420b69ce69f6990f03b3eff503d4fa5a5d2cf90c7ef3ed7813524

Observation 0887cfea-188d-4f36-bd71-6eb8e3df2e0c · outbound

This paper cites All tokens matter: token labeling for training better vision transformers.

Learning the Language of NVMe Streams for Ransomware Detection All tokens matter: token labeling for training better vision transformers

Reference 26

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raw_fallback, observed 2026-08-08T20:40:38.743917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.373761Z digest=sha256:c241430dfacd336c0a26a799f191c9c58744d9cf18fb5452a43286d7ca0ed9b4

Observation c8c16dda-e264-42ea-8a03-4e4a24d26528 · outbound

This paper cites Hsi-bert: Hyperspectral image classification using the bidirectional encoder representation from transformers.

Learning the Language of NVMe Streams for Ransomware Detection Hsi-bert: Hyperspectral image classification using the bidirectional encoder representation from transformers

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:40:37.377198Z digest=sha256:8a50706019902e6f00634874f64bc70defe89b9bdfda4c1de1c990df82b55f14

Observation eb910c90-76b9-475a-b18f-774e96561190 · outbound

This paper cites Davies, Richard Macfarlane, and William J.

Learning the Language of NVMe Streams for Ransomware Detection Davies, Richard Macfarlane, and William J

Reference 28

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raw_fallback, observed 2026-08-08T20:40:38.726611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.380491Z digest=sha256:4526566b9497a7d4deec87bad520f41159b77ca19f55f97edf14721981cd71c4

Observation 9faf6795-07a7-4e5e-bf40-3c9b6e123738 · outbound

This paper cites Systor ’17 traces (SNIA IOTTA trace set 4928).

Learning the Language of NVMe Streams for Ransomware Detection Systor ’17 traces (SNIA IOTTA trace set 4928)

Reference 29

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raw_fallback, observed 2026-08-08T20:40:38.715693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.383997Z digest=sha256:9cc9858aa0eb5f9614d26d892b28a7dda9d573a88b4c8ac53f44dcb73054460b

Observation 2a1d8831-7d15-410e-b057-aa812b693797 · outbound

This paper cites MSR Cambridge traces (SNIA IOTTA trace set 388).

Learning the Language of NVMe Streams for Ransomware Detection MSR Cambridge traces (SNIA IOTTA trace set 388)

Reference 30

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raw_fallback, observed 2026-08-08T20:40:38.704321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.387315Z digest=sha256:d1ad3e88e6523bc96cfee3bbfb546502b69a20a6e3de4bde6be0a8b4cc967583

Observation ddfba0d3-7394-457a-be11-0cfa42f23d65 · outbound

This paper cites Microsoft production server traces (SNIA IOTTA trace set 158).

Learning the Language of NVMe Streams for Ransomware Detection Microsoft production server traces (SNIA IOTTA trace set 158)

Reference 31

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raw_fallback, observed 2026-08-08T20:40:38.681395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.394054Z digest=sha256:1df1a8a2574ceafc86d56361cf70f2ba4b53d863144227dc92ccfd9754e170ef

Observation 8bf6a135-232b-400d-8076-0781a9c27379 · outbound

This paper cites Tlsh – a locality sensitive hash.

Learning the Language of NVMe Streams for Ransomware Detection Tlsh – a locality sensitive hash

Reference 32

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raw_fallback, observed 2026-08-08T20:40:38.670199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.397156Z digest=sha256:72106ade8700ad3d1b7a890c82ea9f442b50fa201914b618b5c51148c9b935c3

Observation 8bf18e8c-14a8-4c7a-801f-5448303e569c · outbound

This paper cites An evaluation of malware triage similarity hashes.

Learning the Language of NVMe Streams for Ransomware Detection An evaluation of malware triage similarity hashes

Reference 33

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raw_fallback, observed 2026-08-08T20:40:38.659532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.400301Z digest=sha256:b5262944ac92728ebab82b278af1fcd63f6d3c8a95918490c1b19c954bfef121

Observation 29e8406c-73fe-4ea8-83b7-385d0cc1a60d · outbound

This paper cites Ssd benchmarks hierarchy 2025.

Learning the Language of NVMe Streams for Ransomware Detection Ssd benchmarks hierarchy 2025

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.403625Z digest=sha256:5b16aaeb72480f48918707dbf6acadd0b9e5b78cc84b913903e2aa0cbad18765

Observation 1371c260-3f7f-4e28-8cf9-04ce07ecd704 · outbound

This paper cites an unresolved cited work.

Learning the Language of NVMe Streams for Ransomware Detection Unresolved cited work

Reference 2007

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:40:38.692666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.390758Z digest=sha256:f200141f171be9f905bd966dd280625e818757461d3db69095f1b1987fadcada

Observation 3de3a0d7-ddc2-492c-9dec-e67b304cf7d7 · outbound

This paper cites URL https://aclanthology.org/N19-1423/.

Learning the Language of NVMe Streams for Ransomware Detection URL https://aclanthology.org/N19-1423/

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:40:38.766452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T20:40:37.359557Z digest=sha256:668112023f267c4643af18d0f8e358c87ccbaca36449f7735b6fc18d3d9d0c1a

Pith citing papers

No inbound Pith citation observations are available.