Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification | Paper Citation Record

Observation 298a38dd-6a69-409b-824c-1086ece55efd · outbound

This paper cites Deep learning for encrypted traffic classification: An overview,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Deep learning for encrypted traffic classification: An overview,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.353969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc6989a4-8e3f-4c63-8c4c-5f781c2d0f8b · outbound

This paper cites Realtime robust malicious traffic detection via frequency domain analysis,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Realtime robust malicious traffic detection via frequency domain analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:44.127504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b95885c-7287-4d5d-849b-33c52e9e7f0c · outbound

This paper cites An in- depth study of microservice call graph and runtime performance,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification An in- depth study of microservice call graph and runtime performance,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:43.819966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 74c4965d-558e-4992-96f7-150111d449be · outbound

This paper cites Multi-tier workload consolidations in the cloud: Profiling, modeling and optimization,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Multi-tier workload consolidations in the cloud: Profiling, modeling and optimization,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:43.611194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 969f6e41-e60b-4eee-a171-4207ed22bb11 · outbound

This paper cites & Wang, Y.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Wang, Y

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:43.374620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 51a72dad-3cf1-43f1-8fe6-e7c3e87a3889 · outbound

This paper cites Machine learning for encrypted malware traffic classification: Accounting for noisy labels and non- stationarity,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Machine learning for encrypted malware traffic classification: Accounting for noisy labels and non- stationarity,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:43.115009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d67c3e20-cc40-45b2-a177-0db398e4fe43 · outbound

This paper cites an unresolved cited work.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:42.909613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e283412-73ba-4617-be98-aac1ea156d2d · outbound

This paper cites an unresolved cited work.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:42.770276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a970361-693b-4ff1-b82c-0e1df7d79192 · outbound

This paper cites & Grundy, J.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Grundy, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:42.425080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc1a5bfa-00d8-4841-802f-fc8d2d8ea58a · outbound

This paper cites & Tuffin, B.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Tuffin, B

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:42.195657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe5bd49b-aa2d-46e7-bcc8-2f8a3c3f1032 · outbound

This paper cites Mobile cdn market — global industry report.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Mobile cdn market — global industry report

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:42.012426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7df409a2-cc6c-4252-946b-eb1fc978de0c · outbound

This paper cites ET-BERT: A contextualized datagram representation with pre-training transformers for encrypted traffic classification,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification ET-BERT: A contextualized datagram representation with pre-training transformers for encrypted traffic classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.826743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c1a22ec-864f-4ea3-9b9c-a572bc3b0f0c · outbound

This paper cites an unresolved cited work.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:51:41.584381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc45c57f-c1e0-4238-8fd9-55b48b405b52 · outbound

This paper cites & Joosen, W.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Joosen, W

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.406709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3424d8ce-c6bc-409a-81c2-bc1d67401e7c · outbound

This paper cites Website fingerprinting at internet scale,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Website fingerprinting at internet scale,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.207316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 54ac2fb2-9372-4af4-aba5-d37e7224f7cf · outbound

This paper cites & Zhang, Y.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Zhang, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:41.028531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb728c3d-1635-4c5d-964b-9b245073d150 · outbound

This paper cites & Ananiadou, S.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Ananiadou, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.587111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d3f0ddd-cbaf-4ed1-a37b-d0624dccbc50 · outbound

This paper cites TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of iiot,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification TSCRNN: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of iiot,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.417623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24bcde26-10b8-4fd1-95bd-650fde871d71 · outbound

This paper cites 1928-1943 (2018).

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification 1928-1943 (2018)

Reference 19

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T13:51:42.603083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 999988bb-77a7-4963-a913-cf4447381514 · outbound

This paper cites Malware traffic classification using convolutional neural network for representation learning,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Malware traffic classification using convolutional neural network for representation learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.986789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 118e4ae5-78a9-4924-b5b5-0edd3904c1c7 · outbound

This paper cites Deep packet: a novel approach for encrypted traffic classification using deep learning,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Deep packet: a novel approach for encrypted traffic classification using deep learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:40.218122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f50993b0-60a6-405c-ae7d-60d3a23d2957 · outbound

This paper cites Fs-net: A flow sequence network for encrypted traffic classification,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Fs-net: A flow sequence network for encrypted traffic classification,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:29.136429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2656954-fde7-4464-be84-71ab767b5415 · outbound

This paper cites & Fedus, W.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Fedus, W

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.806124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 350165f8-fdc6-4c6c-be61-7b7322b03203 · outbound

This paper cites PERT: payload encoding representation from transformer for encrypted traffic classification,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification PERT: payload encoding representation from transformer for encrypted traffic classification,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.258282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c15d353b-0f14-45a3-a6b0-f22218b499a0 · outbound

This paper cites & Konan, M.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Konan, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:39.646859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation befd6c6b-f3bf-4af1-b167-c1a38c3f6d81 · outbound

This paper cites & Huang, C.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Huang, C

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:38.500650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bed70017-3c05-4ad9-823a-481a0f2aad9b · outbound

This paper cites Unbiased look at dataset bias,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Unbiased look at dataset bias,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:38.891782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe890e24-86b9-4db9-abc9-6b6c9b17746d · outbound

This paper cites Characterization of tor traffic using time based features,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Characterization of tor traffic using time based features,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:37.510230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c5f8090-b10f-4580-af88-e8df0318bf7b · outbound

This paper cites Towards effective feature selection in machine learning-based botnet detection approaches,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Towards effective feature selection in machine learning-based botnet detection approaches,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:38.159432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e237f06-db64-450c-bc40-c61f8519d894 · outbound

This paper cites & Xiong, G.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Xiong, G

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:37.174607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b364862-4971-4a80-9463-36312ffe4c4a · outbound

This paper cites Zero-relabelling mobile-app identification over drifted encrypted network traffic,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Zero-relabelling mobile-app identification over drifted encrypted network traffic,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:37.012604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2b21b1a-ed90-4658-a463-c8749a1c7a0a · outbound

This paper cites Characterization of encrypted and VPN traffic using time- related features,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Characterization of encrypted and VPN traffic using time- related features,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:37.356805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3fa444f-24ef-4628-b420-6a2d8ed4bb89 · outbound

This paper cites Towards non-i.i.d. image classification: A dataset and baselines,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Towards non-i.i.d. image classification: A dataset and baselines,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.673862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d198e8c7-561e-452a-83fd-38142e941198 · outbound

This paper cites Optimizing feature selection for efficient encrypted traffic classification: A systematic approach,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Optimizing feature selection for efficient encrypted traffic classification: A systematic approach,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.504997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba1161b0-1466-4b44-ac71-2dd2090eb4db · outbound

This paper cites Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.854390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6143bea5-4d7e-4699-abe3-37812f9ac26f · outbound

This paper cites & Greenstadt, R.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Greenstadt, R

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.241448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a9e1be5-ec7e-43d4-9ae7-a8dd24a00101 · outbound

This paper cites Adawfpa: Adaptive online website fingerprinting attack for tor anonymous network: A stream-wise paradigm,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Adawfpa: Adaptive online website fingerprinting attack for tor anonymous network: A stream-wise paradigm,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.110666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6198a799-a00d-485f-b9aa-dc3534d93638 · outbound

This paper cites Language models as knowledge bases?.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Language models as knowledge bases?

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:36.323479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14aa8842-ac4e-4815-b053-d25dc80ce332 · outbound

This paper cites Robust smartphone app identification via encrypted network traffic analysis,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Robust smartphone app identification via encrypted network traffic analysis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:35.429503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d88431a6-4f08-43f6-a51a-676a31809b1b · outbound

This paper cites Accurate mobile-app fingerprinting using flow-level relationship with graph neural networks,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Accurate mobile-app fingerprinting using flow-level relationship with graph neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:35.119673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation affe029c-71fa-47fe-9677-8684dab610b7 · outbound

This paper cites Adaptive encrypted traffic fingerprinting with bi-directional dependence,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Adaptive encrypted traffic fingerprinting with bi-directional dependence,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:35.779070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d9c896eb-80cb-4cad-bf5d-304871683546 · outbound

This paper cites Learning to prompt for vision-language models,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Learning to prompt for vision-language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:34.509508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79057dd6-a1b4-49bc-aabb-ab57b030dc60 · outbound

This paper cites Transfg: A transformer architecture for fine-grained recognition,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Transfg: A transformer architecture for fine-grained recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:34.240692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a50110bc-9586-4f3f-a94b-de45643317f1 · outbound

This paper cites & Xiong, G.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Xiong, G

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:34.815837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9b9aa7d-bc17-4c26-a991-538223ba18cf · outbound

This paper cites Mt-flowformer: A semi-supervised flow transformer for encrypted traffic classification,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Mt-flowformer: A semi-supervised flow transformer for encrypted traffic classification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:33.731037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f336a8cf-7196-4351-a810-ba952e77a716 · outbound

This paper cites & Xie, Y.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Xie, Y

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:33.444441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f2a3d3b-63f5-4419-88bf-2d1afdc5a012 · outbound

This paper cites How can we know what language models know,.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification How can we know what language models know,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:33.973659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5e6cb17-f4cc-49c4-99a7-3bfc97734444 · outbound

This paper cites & Han, J.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Han, J

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:32.951385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2583eb3-7f41-4f2c-86e6-c8a7172bac07 · outbound

This paper cites & Liu, Y.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Liu, Y

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:32.699156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f6f27b16-bbf8-4d02-9a25-ccf671442454 · outbound

This paper cites & Hajishirzi, H.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification & Hajishirzi, H

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:51:33.226833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a7cc038-09ab-4a4a-8c12-5a73efaadfbb · outbound

This paper cites an unresolved cited work.

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification Unresolved cited work

Reference 2014

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T13:51:37.760879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a045c14e-c49f-49e2-8a40-4a1f36c17fee · outbound

This paper cites 7156-7173 (2024).

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification 7156-7173 (2024)

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T13:51:40.794287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers