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Paper Citation Record · LEDGER

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics

As of 17 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 1 inbound Pith citation observation for arXiv:2412.20635.

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

pith.paper-citation-record.v1
2412.20635 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:19:05.938309Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:54:13.235844Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T14:48:32.928983Z

Reference resolution

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved88
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2bd6646-5c35-46c3-8d31-a0f14013d0d2 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.609009Z digest=sha256:d888554f63ee2a8a026aab44a809c6e8a8fab8b4e115f12e0d95a240b682444d

Observation b5764adb-3b5b-4a89-af67-140bb51c251a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.613170Z digest=sha256:668e0fb4d82923c79bc4499cab05b5431e61756661176cc1da1c12bfc6451336

Observation fd9ee151-93a5-491e-80b3-39b93fe1b879 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.617229Z digest=sha256:a84ec4d628a7e2fa7f0dbfe2b9106020070e7ce083827e2b29920174637810f0

Observation c9b119cd-df3b-4695-82bf-a48a2701d79c · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.621583Z digest=sha256:4dfc422cbea760e5f30d2a381a8e1fbfac1b94b1583db54ac4c7630fab9716d9

Observation b16965f4-e51e-4c76-a87d-2640778faf46 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics On the Opportunities and Risks of Foundation Models

Reference 5

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source=pdf_text observed=2026-08-10T23:19:05.625363Z digest=sha256:6ad7fc0dde1a52dd4d29b78b615830c32be7739f8e357baf27fbf5319bf195f8

Observation 7eb6bd7f-8480-4bb7-887e-0fa708d68329 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.629611Z digest=sha256:d01474587ab5e6b3bce5b758a8a092232b5b69e8df8a04b95f90d8aef9d70fb4

Observation 63bc353c-d7a6-46b0-a75f-7365235da2f3 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.633543Z digest=sha256:485e0191af2acc27b846518c949b2d41525b1c3edf33b4e6190a7d4e6c523203

Observation 756e31f8-52eb-4783-9576-9960a0f506e6 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.637419Z digest=sha256:735d113847bc1805b8761f01b1a8a553b0cbaf21c7b732d4a775235f62838879

Observation ae9fcbc2-67c2-43bc-9692-0c95304da136 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-10T23:19:05.641320Z digest=sha256:68fc6a4520d7a23a3bc4128050f8212ebf846a519fe0cc82a17ff9300c2288e8

Observation 6abb07b7-fc8f-4446-a843-8263195e8812 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-10T23:19:05.645378Z digest=sha256:320fc15552e022ff258a1c663a4ae2b739fca99c92001a922dedb814038501fd

Observation 1d8db492-983a-4693-9992-e95b0a7112fd · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-10T23:19:05.649089Z digest=sha256:93fe8d62d4a3271d73f890ffd0fb2a7d6623f99ca1d0952dcc4521361b4396c6

Observation e37ac447-3d7f-48bb-b2d4-02845ab0cdb2 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics PaLM: Scaling Language Modeling with Pathways

Reference 12

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source=pdf_text observed=2026-08-10T23:19:05.652898Z digest=sha256:b75478cf22d7f232a39276659f66b9c0f8fcb151869113f787c08a60ed6f7ff9

Observation 13095c47-7432-4a04-bbe9-1a33c4261b44 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-10T23:19:05.657010Z digest=sha256:d5828098af8a6b78379c6ab074784180dcec8c427e8499bd60e9126fa5547753

Observation be07a550-96e5-4107-8437-599943b909cb · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b621f183-d92f-44f2-a76d-f9b5e4369ef1 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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source=pdf_text observed=2026-08-10T23:19:05.666691Z digest=sha256:80cbfad773acbb52d60fb015360c6e47e3f173e121750ef923887d7cdb8606be

Observation d5ee5f3a-d78c-40a3-b560-5f2e5322a4e1 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.672206Z digest=sha256:05fdf56da4e58f51b38328814163e66325b9a1911eb96b35a23f01d7e027e28d

Observation 562461bd-de3e-4aa9-b2cc-182ff5da9a2e · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b15ab966-8e72-4b3f-85ea-f7e86697b05d · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.679109Z digest=sha256:f26d6902898dbc3d6cf2ccea369bbf7f2646da94c297e7842029e2ca0bc90a79

Observation 9542de08-c454-4c19-99eb-e34323121c5b · outbound

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

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

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Observation 8e9548be-f292-4479-bdbf-3625b3e65ffe · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 20

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a917bffb-bbae-41c6-9e92-d73358dc52ec · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6ed1fc6a-5f86-462e-b334-8cff3bd860e1 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cb140495-e8d9-42c3-9f4b-b524d73dfa87 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bfc8ab50-0a85-4a75-a56a-4022f99528d0 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f83c7c9e-e16d-49fc-a3dd-74f2d9c92d53 · outbound

This paper cites Training Compute-Optimal Large Language Models.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Training Compute-Optimal Large Language Models

Reference 25

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source=pdf_text observed=2026-08-10T23:19:05.703806Z digest=sha256:1e7e0cd09a4956ea12710a9393fd65b664d906da6322b39f07a71fd2c8b1ecec

Observation 05c73000-215c-41ac-beb9-0b0dc7c000a5 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e60b82d3-2e47-4161-a3b8-6dea306defe0 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Strategies for Pre-training Graph Neural Networks

Reference 27

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source=pdf_text observed=2026-08-10T23:19:05.711309Z digest=sha256:84b81c0fb15c44b35ca4075afe2bb476abec740f6e5e2678b76ce0e0356a8160

Observation 49a04470-c3dc-44e3-9a4c-76b762cc5e9d · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation da09e869-f65b-413d-a860-1afea2dc5619 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e53d156c-abca-42f8-9c4e-878d337de814 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 30

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Observation 0e86a0c0-5f20-4694-8e68-abe439d2766f · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 31

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f0464109-19d9-4ee8-8a39-31c860ba6d3d · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation fb989499-c691-4ebe-8a2a-0e1228410cff · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8c619bbe-64bd-4e33-9cb8-6771d4f904b8 · outbound

This paper cites Scaling Laws for Neural Language Models.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Scaling Laws for Neural Language Models

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.738368Z digest=sha256:d1ad4dc4bd6e48ff149faf9c08a2e0b03bc53e89092e177d8fe730478d0effb6

Observation ee0027b6-73ab-42a9-bb09-9165de407396 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3637bdea-ec4e-46b9-942e-8f4790d9a347 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 01d004f9-5222-4f1a-bc37-896295d79267 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Adam: A Method for Stochastic Optimization

Reference 37

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T23:19:05.748771Z digest=sha256:b3d22fe3b4a4aa10abed09763d5203116140a99261b62e31267d89f8bc2fa05a

Observation 1d817cb3-43c5-43ed-9577-3b90892ff253 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d539b251-b50e-4599-b39e-a25a45e83c36 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.614342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.755704Z digest=sha256:23602ee5ab95ea21a8263b080b043d8c94353fba6beeaf2e9081e6ffefaae879

Observation ccf2bcec-b85d-41c1-8b2e-5c4cb681a119 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.603816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.760352Z digest=sha256:a9bcd0671f7f1db401c0c2db17b807c5ad24853f7ce6904978cf9f25b774aae7

Observation 4dc7db06-a01a-4c56-ac5a-2bd830e64671 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.763933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.763933Z digest=sha256:da18ae8a2317447da2741ea61bcbb364a30b9f5000a0b84c09ddac223af180cc

Observation edbbe52d-57a0-406e-988e-501098e42559 · outbound

This paper cites A Hierarchy of Graph Neural Networks Based on Learnable Local Features.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics A Hierarchy of Graph Neural Networks Based on Learnable Local Features

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:19:06.048872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.768152Z digest=sha256:773449cd625988f1ad20f41353595adbcb44b74796b0aafec82bdd5bce721202

Observation 836a1f74-abe6-43a1-a94d-0de85914a6fb · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.593642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.771908Z digest=sha256:31cb2f486377fcc86cb1114c7c476cfccc14cc473e90a41fcf33d1fcde2f3271

Observation 2f3ed003-f446-4268-99af-6545ea9e872a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.584230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.775273Z digest=sha256:fc0cab78d35e2e091d29cdfcd3c6539efc23e0695ccaa0444f37690a2ac6cbe9

Observation 322069c5-6d44-4956-8d9f-b10e6a21e19f · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.573993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.778786Z digest=sha256:b08d63336215c68e1c72e95ac3b9e00659f93a7be1ccb119853d3a9d4fa7f8b8

Observation b0363479-1abb-49df-a6bc-cf253f79fba1 · outbound

This paper cites Graph Foundation Models: Concepts, Opportunities and Challenges.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Graph Foundation Models: Concepts, Opportunities and Challenges

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.782465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.782465Z digest=sha256:af77a0c2eb6f04b23e370f6a73f3264ce6c1d1d7894e9f8779c255c9682c889d

Observation 318bfa5f-f018-4e1a-9f58-b4d91eb46521 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.786047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.786047Z digest=sha256:a614f3b12390c518c9193adc6ce30fb97ff4f302e54a71a7ab9b52f8ffa019eb

Observation ff00ee82-a0a4-4007-bde9-512e61e02fd2 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.562965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.789606Z digest=sha256:8b7879285ec013996a93e0a540be5b3440aa84a057dc54ccfcbaa3aae995be7b

Observation a8da6d56-37ac-42f8-ac1a-b618dd80de0a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.552354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.792971Z digest=sha256:4621a67b1ab7043550056b549c97a18a2422948c1f84ed67681015d5f5c98fbf

Observation 59721b48-e5e3-4997-9bc4-4052596b5774 · outbound

This paper cites NetGPT: Generative Pretrained Transformer for Network Traffic.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics NetGPT: Generative Pretrained Transformer for Network Traffic

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.796694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.796694Z digest=sha256:29917d98b0302906676cc5a9e242da7fc0e4079930d0a248e712bc1bcb1deec4

Observation 7e5cf130-f8dc-471a-9118-73c3f1b077b2 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.541298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.800592Z digest=sha256:74455c118f4beea52ac9328e4ff6fb8f3a72e81378411c6e87f32bc344043788

Observation 991afae9-9156-4b7f-b1df-63233f106235 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.529500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.804254Z digest=sha256:338e5d34a482269995599e203773102954ced3bc06e7c1c8e6b62d9ae7b69f2d

Observation 43df2b97-6725-4372-a883-049b6341a5ae · outbound

This paper cites Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.807838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.807838Z digest=sha256:3ce19468d2b6f227e34e4008eecc8941da2b87f8772461b8eefac499d5a213a6

Observation 479028ef-63ba-4bd4-9942-696f65498526 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.517695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.811511Z digest=sha256:0e6a1eb4e75d21f40b4a7296cab96bfd1ced30bbd84d9e0a26c94c135fc0a100

Observation 254cff2e-bc5d-40c2-a71c-9797dffecb37 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.505784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.814998Z digest=sha256:26bd9f929ee552eb290b47b3b89b1f2752ad502e8f50abbdeb4f62c2257568c7

Observation fe5aa747-1ed1-4610-983c-b1d244625d4a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.492744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.818636Z digest=sha256:8c27cdabc13153a626803c2df5d2f9130f619612713e114b946145ab718d5cac

Observation 87ec376b-a07f-495b-82b3-a56b8dd8c9d1 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.482950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.822132Z digest=sha256:c02833a9ab6296220056b36e7d9cd01ee2e225faab2f9302bebd68cbde52a4a2

Observation 1fc5bebc-bf13-4044-b19f-73405e4b312e · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.472832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.825880Z digest=sha256:c939785161da40bb2bb5901429cc4fa7caceaf4bac94043920c218a4383863e2

Observation 9e1b66f0-f7eb-42d6-9b0a-1392d691c285 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.461974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.829362Z digest=sha256:d1978a8dac9a7cfdaeacdf14d638525f04c3d8e8c35e8d61ab2b57b831365bd7

Observation 09df0a5d-0a42-4954-9f84-a8ba7ec0d3e5 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.449829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.832867Z digest=sha256:638ad1f36912fd7cd1c250255f2d9115ffe39ad9b6f814f0b4542dc782b99cae

Observation 5a3c8110-f3ba-4a0f-9a69-8f6d30ab4bfb · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.835928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.835928Z digest=sha256:7b1d01672ba74c410ab11d950f557a00c38820f5781a9d7dce3c9c7cc96a355c

Observation 04a320bd-2eae-4f27-b262-6d0683165340 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.838993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.838993Z digest=sha256:5be0bae91c35f1189425a996f2eb6d7c6bbd2d7ce76bc16d51d1ba27392834c8

Observation 7f1c8827-dbce-4474-a3f6-acb652c9ac0a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.842146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.842146Z digest=sha256:0c71326880f5039d1798c0e3c25a099c62d26f2940784721012575534976376c

Observation 5d237faf-ffb7-46fd-bc56-e49f987b9906 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.414058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.845212Z digest=sha256:328b512dc0fb62749c915d561e5df165e346948ed5e4f84bc4fc72c7ffce9c2a

Observation 2279bec2-7cd1-4805-98b7-4c254ca10e11 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.848309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.848309Z digest=sha256:7d79b811650a8c2e4f18fc36a85bc55e47e2a4595300556ab46dd94892a0e529

Observation f936d344-97f5-480b-ad49-9aec130dbed3 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.393267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.852067Z digest=sha256:d0a72a9a0d7ce5be558daf1845dc14646b5c5b750b378e54b19ee6ed74f478b9

Observation 69934db5-1fd4-4ea0-abfb-45b13b09d45e · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.381934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.855384Z digest=sha256:3d803f509c5513593638e7f913710abfe8306b798026f4031c9f1d657061269b

Observation a98db5cf-e815-4fac-88a4-92a83c2c41f7 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.370066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.858605Z digest=sha256:ea73bc828c81e93e2243dcaa0d5219c1196a85f490d76a49f7ddec061b0fecf1

Observation fefbcd92-5ef8-45e2-8352-00e1aed4302a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.357915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.862214Z digest=sha256:3c964451672348498b0c9aa187c7b0b6b97753409453ea9b27b5da6783fb197b

Observation 4595a9b9-ab9e-408b-b43b-492b6cfcb1ad · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.346859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.865833Z digest=sha256:72311e7881f6e56161e9bf9d10e975fbb269d2cb4905e9b709736dd4ce596410

Observation 90f6d6b6-0739-4b6d-b234-31955ec1c2c0 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.869684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.869684Z digest=sha256:f7af17d0af2c6a9cdb0dc8f8c7dd89fdf0a4d67e41bf8214acf6fb3cc76ce7b3

Observation 5554d1eb-6703-4d20-89a7-a60052c113c2 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.327847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.873357Z digest=sha256:3c312982d74cc897029dcb84dbf14054f7904acfa829f3b984420e178a8fa26f

Observation d71f9eea-c814-40da-99c5-01351ce93d50 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.316302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.877129Z digest=sha256:87b0860d08e39bc61f0291e26af3192e19da16baec8dbdf402267c098849b47a

Observation 30ef76f7-d70f-4b55-b5ff-58ea5de1e411 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.305593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.881041Z digest=sha256:b45d3a3bd796d9ed9f320e0b818b943bbfe5ba01dccf9bb93573babe89cc416e

Observation 7b87cf26-fb6d-463c-9f7d-0370e1632ee7 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics BloombergGPT: A Large Language Model for Finance

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.884626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.884626Z digest=sha256:5510c03e7e536b19d239364accea137e7a41fb4ce7ef15dd21ecbcd961a016fd

Observation 72dfb323-cf67-444d-b822-460280b4f322 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.295700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T23:19:05.888597Z digest=sha256:85d0157eee5b16158f02a7df2abeeed457de437339bd8e19dda6e3841ddb40c9

Observation 1533b886-fabc-41e3-83ed-73bda013d950 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.892109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.892109Z digest=sha256:8c9d1f0c1b16d8800e9b35c97530d99a5891adac81a1a3e685f5542dc4fa66db

Observation 4ec19db5-87cc-4f59-9e7d-2b3fe39b3c79 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 78

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2c42bda3-afb3-40d6-8cf0-838ae161e720 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 79

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 51ac8cbf-214b-4f49-8c8c-d1d042dfbaa6 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 80

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9364e2c8-5644-44ed-a56d-8ed2efa40646 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 81

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 69379894-2fb3-4ab8-8b71-0eed507cd851 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation aa6e342c-a505-4a5c-aa5c-7e4c15569072 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 83

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1aefd42e-762e-4a44-a794-f1b020824c1a · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 84

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a2590c6-75fa-47ad-b7d9-dbc7372d7ec0 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.192983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3e2c2def-6416-4582-a003-ce86d871dca5 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:19:06.181202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 58020269-96f8-46c1-af5d-d9bdc1d3b8ec · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 87

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bacb92ec-8fc0-4eb8-ad0b-3565a965b365 · outbound

This paper cites an unresolved cited work.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Unresolved cited work

Reference 88

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e5aca974-0b38-45d6-9bc6-6ba05dcab6fe · outbound

This paper cites Automating Botnet Detection with Graph Neural Networks.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics Automating Botnet Detection with Graph Neural Networks

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T23:19:05.938309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68db217d-16a9-4664-8ac1-7d06b4c342df · outbound

This paper cites (2007), 315–320.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics (2007), 315–320

Reference 2007

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

Observation a88721f6-abe5-4b84-b06f-187b09029bc1 · inbound

Semantic Identification of IoT Devices from Behavioral Primitives cites this paper.

Semantic Identification of IoT Devices from Behavioral Primitives NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics

Reference 33

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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