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Paper Citation Record · LEDGER

Learning the Language of NVMe Streams for Ransomware Detection

As of 17 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 2026-08-17T06:30:58.91139+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:de29bebb0bb8a5c73632ccf85a3ffb2610b459b29a22d0aa8e45fba6b8773f3e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.287217Z digest=sha256:859c2bd99e5f82167defc36a36a67a9d14b77ed1338ff51ca434fdf9bcc09174

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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raw_fallback, observed 2026-08-08T20:40:38.882053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.290906Z digest=sha256:8ae7b18f374790f2536c4e2c809927834bf30dd98a98599909ef103eeb0296fb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.294731Z digest=sha256:6b4e3bc1dd5dc07db32d9fbfa8e733ee1324298966c800495bf849567381e2f2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.298203Z digest=sha256:106958fc83a644cfdb1d0a432343703725800ae5b4c9e17f088b8a6032a92697

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.301852Z digest=sha256:e7a30725db5f9b689e911ad97f6d60425fd4741a762f7965d3f4606033a29c2d

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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raw_fallback, observed 2026-08-08T20:40:38.852270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.305651Z digest=sha256:0b6ecffe01d6ab3079b5c24486e416acd2e2cb4a9e7e0878ea6a0a8e1407cce0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.308992Z digest=sha256:9f3dfdcd7237b2a9ccc1b5d5df7333b4975f4e9d6bf37c898b21a726b93ab47d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.312542Z digest=sha256:a1dc787bc69009d2939c9c2f56cec7ddb4390518b2ba27e6346221ef77593474

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=sha256:9175c56daffe7cf00c2aa47a128bd93e48ac864cd368ce003077068a5d5818a6

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=sha256:1672d42f3bbdb865bebcd415108fb9b6fb34e57ddffc282171972d398bd4eb2d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.323508Z digest=sha256:0614f195ee9b94b7231fa664d105628e1f7d28542c5e0beb4411b250366cca2c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.326744Z digest=sha256:1e33c8b144c94a9ead0adebaaa7c7cd4f83b7a0908f27a540e6e41525f842663

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.330012Z digest=sha256:6de99d4379d3ac6d425944a92f114c5b171ca05437bdcb0225687835b7662d27

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.333345Z digest=sha256:01ddf4541322dd94490b383fe5f5f8520be32ab9a22ed89998aa622dc746c225

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.336656Z digest=sha256:cc8e9d5e2da0d0602098e88818894645bfeea4bde29698e00a269a3cda7d35e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.339880Z digest=sha256:a2f735fdc79b1dd104f19b1f057e8e1524983c8cced3b870ccd905619ca1ff60

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.343205Z digest=sha256:d91fd1de735fff70d16609dedd3e02400258ff1701c9726238a58bd48a4df815

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.346382Z digest=sha256:06316fbf110839032eb2c4e53b5868ea573acdcd805b99e9e3414c6af5f6b2e4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.349824Z digest=sha256:2e3c02f236d83932622450366040c12cb9c20332333191915fd8b06e2335a507

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.353084Z digest=sha256:6137fc3a9f6799c8657e6aac20d109555a0559bd4c67b85cb67fc97e5e89e9b0

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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raw_fallback, observed 2026-08-08T20:40:38.777222Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.356277Z digest=sha256:9b3e3be19a8e0c5a1b610f478d0ce997324f563abdd20eb542707e06abb75afc

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.363065Z digest=sha256:0bd6e8ddb2eca453afa6f4245c3ed60e6b8248e1c9252f9eaecdb08a1d76d256

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.366763Z digest=sha256:8f486b07c60dfe100e5dc5c9749b9bbec0864b19a89e6e6228409e47c64e15b4

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:e570719bcbd94e65e251ebce345621a12dfc3be0524e9c2de904df8eeadc61b2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.373761Z digest=sha256:90359e855d065daf113d40d1d5bca6f1a2a84cb991643735db62c89f63f18501

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=sha256:5b11c361c0f9f7c82c88ea184e82321e72c8c92a2cbf7f248468aad9e7e8f82e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.380491Z digest=sha256:d09a9b6edfdb2a5ab74322092f50feaba8527b1bb763b0e42abca3e650b35c6d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.383997Z digest=sha256:ea8a6999ded785974c53dbd494cff6f9bc4bd905011f669cdc6f089a85a70c55

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.387315Z digest=sha256:995f59f90b195f7a50aecd3a4095c32cd35986c575554ead720e338e967a1eb7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.394054Z digest=sha256:d209fee81091c734f0b1d64e37c93b7d8100913a9f1b96ec5c475d5fa9fd0335

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.397156Z digest=sha256:2acbad39d3ff55280b38a72a6108f5efb1644d6e3f74205528ee9984522bd408

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.400301Z digest=sha256:d177b742dc72ce8d6345dc9ad65a7e63e6f86669a1389884f873678daa41968b

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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raw_fallback, observed 2026-08-08T20:40:38.648423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.403625Z digest=sha256:82b8a6181711d29e8010286e270e40c8bc631fa3a6be18bd69603cdfecc98ec0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.390758Z digest=sha256:0a38ed2faa3d9c88e0fd7b574f56fdbec02ac540c1508e61ea698e6ed46d1118

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T20:40:37.359557Z digest=sha256:9dc997a2adfffd1e535e972cbd543cb494dbf0504603068da14461726a5f845b

Pith citing papers

No inbound Pith citation observations are available.