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Paper Citation Record · LEDGER

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics

As of 23 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 2026-08-23T06:30:58.430688+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:c21efface80accbb8b7475f948dcbfea8fd0f309b8464ba6d0615091d4f3b05d

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:bad22c04e398143245e6ac3fee22723bc322444b387cba86eb51f805d9511cd8

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.617229Z digest=sha256:2deb7f51e882747a89c17d064326973cec0a595cc0becaec13fb4ccee007c597

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=sha256:1e72be0a6906e85b0a19390b046745322121a27fad8d8bb2c918986014a10d1b

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.625363Z digest=sha256:45acb4b4e0c8d1762de2d1f77cefc06cc1948fedd1ecb038c57586f8c6f73e57

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=sha256:20639129f7c0daecd7ec85e0140f3877319588f6bc79a23f6b2cb6f310ba36c4

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=sha256:1ba7446bb89f14f873c6a80fb10ce867e9e2110d35f6476caac117b41354d320

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=sha256:9c665c930cc0d6c6bb1123a2ed984d5f7fc70e0f03ebdb664d4fc879b161d44b

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=sha256:21a44c42af278671eec2e8755db9eaf1f568b41284a9021211e9bf99d9f3013a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.645378Z digest=sha256:01e5a1dbee72344db372421af17328fa7154172c9a3014974030ebeebdd21e75

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.649089Z digest=sha256:5411a9b52b76a27d95ab1e2a0549e31d26f6d43e5a7ad57adcc387816383eec8

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:ed34a9d6c7bd38dfaf0bb783dad991dcf3f8f07ac4b9cafd85aa685f62bfdc33

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:f0c48e498dcc56b6999d10ef037511168504b65cefea9da7aed1da7cb39a91d0

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 2026-08-23T06:30:58.430688+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:a7a03c8cb84e70b34f3a7c09fd4f8407130e5099f4aa2f8f70924c5d7896ce6a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.672206Z digest=sha256:cf0bdae0c3e40c8ac37f28c22989671e13dffb0ea1f0622fe07bbfb08fc6bd5e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.675809Z digest=sha256:8e7bb6716f1762b32703c5d16504f0ce83ec13cee805257b6b223a9470e8c4cf

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.679109Z digest=sha256:b1deaabebecbdf8f87d60f53e7243a61ca1df61e2ed8dc94c451cd9cd14146ce

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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source=pdf_text observed=2026-08-10T23:19:05.682715Z digest=sha256:43a0e40caf8616c522b723beea6f7ccea48c3eae417c11ae022cfa06a987bcfc

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.693684Z digest=sha256:a22d38961418fc45ddb97e2acc171d2b4abfddfe3dc6e94e0d105ed71aa0fcc1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.696991Z digest=sha256:5e9b16aa58782d02342e665f6a8efae739a232eba0fdca02dea960ebbdff2d21

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 2026-08-23T06:30:58.430688+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=sha256:1f816905f3bab1aa4a7a949acb597e1b1470077f5fc20e5ed20e48a87230c082

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.707608Z digest=sha256:1684659605b0edd3c5779fd6f4f213347d1ec23d55f4f25fc251a621b9dfe542

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:a55f6c235a1dab63a5e5f38e8690d147905c00062b1d64a8c3fa497efba268cc

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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=sha256:496de96b7c4465eb66333cf9b3cfcc429245053bc30fa726200314a97fcd9853

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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:19:05.748771Z digest=sha256:d2686799340711f12d2f9c65930c990fe9b4cecb84834f0486293eca9475f4af

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.752301Z digest=sha256:31aba50f2f3fa8afa5431daaaabd8cfab2070c5493a24de0c71b393a2a60a017

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

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.755704Z digest=sha256:e8491b4aace2868e920621e69b4062d550e2a0933640e8d689401a9c338a68ea

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.760352Z digest=sha256:ae4d69ce61e3cd2ca54b07d643b473d69c2a2766f8b9f37061cbd777a553b87c

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

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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=sha256:5e721695f9fce09ecd182a558880d01017cf235577832d7f8e9fcd965311567a

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.768152Z digest=sha256:1d637173bbdac83915698898c27260c4e12f60b7fdb56b12f76e186512a42e12

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.771908Z digest=sha256:687e6e3cc4a2c9c38f8e98948e2bd9f3c80ddbacc107f84b14c7f640d34f2920

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.775273Z digest=sha256:aef6956c0de6f5dc3e33f64a16ba8919034c00c325a5f0c8a8ac3aead1ebeacd

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.778786Z digest=sha256:5384ca9a4bb2f346c8ffa15651683ded3035b4838b67732261cce6524ac9627a

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

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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=sha256:1f844e449e31a4530eec1ec50cdab760716b52cc2b98135e0533ebd6b6600b20

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=sha256:456e938dcb93fab2af940d5dd33c8e500f02a34ec3d0fa951123be539d4b9d52

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.789606Z digest=sha256:d4fda1a5cb92ec0707d5aa9046ad619122458e42b376116c122b4012c80ad5e1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.792971Z digest=sha256:1334e34771be3873641ea1ad67a173df46db7402adc10f1135a08667a0f53149

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

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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=sha256:34a46c0ed727769ad9043fe6806c9946131583ef50c527a1b0845f22ab109657

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.800592Z digest=sha256:f7a202ef9ff5b3cc3259e92ef8bb72025821613b5d577150022863ac2cf6a2e8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.804254Z digest=sha256:8c1e01bd75be1df2ae18a99eaf9ebd702229ba8b4cdacdb9da8962352f941c45

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

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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=sha256:9d2812c438470245b50d493b7c8368d34aa92cb73dc224d647c5bc47922987b0

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.811511Z digest=sha256:e3b25b5bf01554cd888361310d195cab1f92ea92c0ecf618217d28d633e3ad5a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.814998Z digest=sha256:e42e30faa46fced4af381e330d0ae653252ef8ebc02ff3832ffcb112d2d523e8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.818636Z digest=sha256:4da0a4d78b0091250830e1639f9c96bd40244856b37090d76de81b352500fb04

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.822132Z digest=sha256:3bee8725fdc6856626a259c785a4ccb20fbd72986d3f57373c0f7c65e95b6839

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.825880Z digest=sha256:0b82de028cbe24054f3ebc5804050600c41b01d1c2a5f6d6db10130ba402389d

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.829362Z digest=sha256:68ede1d487bd6c6188318b734a33722d753da1d6177f341a64ce764a9c044704

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.832867Z digest=sha256:962e5c3aa10453676952e0532b2a25453c9f665d2581ea45f1a4bceafa6f8dc5

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:a60ca91180e693c1765f259e2d2d169d096261793a03f6ed1178e53fc7de2fec

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

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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=sha256:61dac263bdca474aa2e1d155c588098ce731d20fe92f6dfb32f15d80a47f8b77

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

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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=sha256:9e907ddab90e901a66418fdd2983f4602c99ed50b719985a203274388690df68

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.845212Z digest=sha256:8b32903501e56b9e24d56aa5689d689e395384e3428d8d332553eb5b372b7e91

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

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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=sha256:8c1720a7e5f31732dc1b78dfaf1b0fc7fd76a034b379e888a059113bf7b9cde7

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.852067Z digest=sha256:f6be862c852c8006aa66021f85a22561b2b8af12109122593f3beca61ca8a090

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.855384Z digest=sha256:57593c80592053000fa6c78d8adf44af53658efa3c6417f8b841d55a30e3ec6c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.858605Z digest=sha256:e6cccab99bbcf21fed539f2c6a747a399ed01b15ca0d809981e1592234790ba6

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.862214Z digest=sha256:34f8de746e2ef97dfe0cdadeced40169acfa3c50aef4cade41f00c79c2042933

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.865833Z digest=sha256:f238dc782487b00d9883fc45f5417021bfe4fbf79667a97a0ecb44e3e2e1d644

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

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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=sha256:0082bc56cfff3c444c3694bb8711ca09519ec209ad3284bcf1d5165a33d7e75c

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.873357Z digest=sha256:c5d61cd5dec13cbde8caad10f0757fc1d610bc84392c17de4fd1885321ac735e

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.877129Z digest=sha256:5aad190994ad9715a0268a5d2ef69b78086d0f1c8db7dba3a3c850dbbe09b910

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.881041Z digest=sha256:65b1093ea43a7eb35add57698c4b83baa1f851e037472b57afd3f65691220299

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

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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=sha256:244891b6246f6d9287a32935a93d28ffadcb6f9f445f0256de42a3720c3f9316

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:19:05.888597Z digest=sha256:6350585e8158cc02c84052f8571e2b864850bb9cd0d82af38a54703c98f24083

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.

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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
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+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
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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 2026-08-23T06:30:58.430688+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
arxiv_id, observed 2026-07-03T14:48:32.930311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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