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Paper Citation Record · LEDGER

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.04517.

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

pith.paper-citation-record.v1
2606.04517 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T04:25:27.524541Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5adc616e-e7c4-4f7b-9da9-a30735812bd5 · outbound

This paper cites A survey on encrypted network traffic analysis applications, techniques, and countermeasures,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis A survey on encrypted network traffic analysis applications, techniques, and countermeasures,

Reference 1

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Observation c38ab2cd-97c5-4c6c-8a77-6a04c9c1eff0 · outbound

This paper cites A comprehensive symbolic analysis of tls 1.3,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis A comprehensive symbolic analysis of tls 1.3,

Reference 2

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Observation fe34d28d-fd29-4d5e-90cb-2a73bbe90e68 · outbound

This paper cites A symbolic analysis of privacy for tls 1.3 with encrypted client hello,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis A symbolic analysis of privacy for tls 1.3 with encrypted client hello,

Reference 3

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Observation e563e831-88f6-44e2-9fea-3ad68b347c8d · outbound

This paper cites The Transport Layer Security (TLS) Protocol Version 1.3,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis The Transport Layer Security (TLS) Protocol Version 1.3,

Reference 4

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:2f0976f44ef8d19a5d1413cc1ab190cd9f278a3afd5eea9308ae991a7685b96e

Observation cf0a1132-cc3d-4ec8-8fa9-1031b28bbd63 · outbound

This paper cites Gspb: a global-statistic and packet-byte fusion framework for encrypted traffic classification,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Gspb: a global-statistic and packet-byte fusion framework for encrypted traffic classification,

Reference 5

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Observation c9ec97d2-a117-4c30-a191-dfc258bba6ed · outbound

This paper cites Attention-guided multi-view feature fusion for proxy traffic classification,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Attention-guided multi-view feature fusion for proxy traffic classification,

Reference 6

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Observation 22b95e9c-a325-43c6-997e-790b723fbd4b · outbound

This paper cites Graph attention networks,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Graph attention networks,

Reference 7

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:18b8f3b2ceac96c3e8ed9406fd753555786b60e21569038e80200717490517ed

Observation 4c6ca564-7f3d-46a5-9ff2-d614dfc2f0f4 · outbound

This paper cites Accurate compressed traffic detection via traffic analysis using graph convolutional network based on graph structure feature,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Accurate compressed traffic detection via traffic analysis using graph convolutional network based on graph structure feature,

Reference 8

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Observation 984f4ce3-8898-4590-b36f-d7f34348e6f1 · outbound

This paper cites Adding information to the dissection tree,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Adding information to the dissection tree,

Reference 10

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:b9fe76fcad304466001bdcd24fb43c0e7cc8fbb83a8f3060e2dbeb582b1a78b3

Observation abc22946-f96b-47c0-8571-9a1a0c06ba9a · outbound

This paper cites A survey on mixture of experts in large language models,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis A survey on mixture of experts in large language models,

Reference 11

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Observation 500b2294-f909-4dfc-aaf6-c75e3e04a593 · outbound

This paper cites Kitsune: An ensemble of autoencoders for online network intrusion detection,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Kitsune: An ensemble of autoencoders for online network intrusion detection,

Reference 12

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Observation f7da80df-2d03-4747-ba89-12b6517b294f · outbound

This paper cites an unresolved cited work.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Unresolved cited work

Reference 13

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:ba0a247c561fb371473168b2ce28621bfc4419caaa727018ce7cff6409036019

Observation 71683b02-bc8d-4137-81bb-74bd1156ca33 · outbound

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

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Fs-net: A flow sequence network for encrypted traffic classification,

Reference 14

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Observation 24ec1d3b-e380-4c62-ac5c-d4f464357e8b · outbound

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

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification,

Reference 15

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Observation 9bf0d0ee-776e-4289-a6a6-5694ebfdf333 · outbound

This paper cites Yet another traffic classifier: A masked autoencoder based traffic transformer with multi-level flow representation,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Yet another traffic classifier: A masked autoencoder based traffic transformer with multi-level flow representation,

Reference 16

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Observation 2b8fd1bd-6180-4dc7-b91c-1c588053e44f · outbound

This paper cites Trafficformer: an efficient pre-trained model for traffic data,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Trafficformer: an efficient pre-trained model for traffic data,

Reference 17

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Observation d664fde2-8371-465f-be7b-a7a0624d6d61 · outbound

This paper cites Realistic website fingerprinting by augmenting network traces,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Realistic website fingerprinting by augmenting network traces,

Reference 18

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Observation 8a32e339-49ef-43a5-b32f-284610aef3ad · outbound

This paper cites Detecting tunneled flooding traffic via deep semantic analysis of packet length patterns,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Detecting tunneled flooding traffic via deep semantic analysis of packet length patterns,

Reference 19

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Observation dba80bea-a428-4325-b4ae-7be88c9f227c · outbound

This paper cites You do (not) belong here: detecting dpi evasion attacks with context learning,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis You do (not) belong here: detecting dpi evasion attacks with context learning,

Reference 20

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Observation 6e9817ec-c728-4a66-80fa-4a3fa552dfce · outbound

This paper cites Tantra: Timing-based adversarial network traffic reshaping attack,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Tantra: Timing-based adversarial network traffic reshaping attack,

Reference 21

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Observation b8ce2751-e346-4755-848d-e566784342c3 · outbound

This paper cites Rbljan: Robust byte-label joint attention network for network traffic classification,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Rbljan: Robust byte-label joint attention network for network traffic classification,

Reference 22

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Observation 1ab8282b-4ec4-4f2a-8ac5-868693f9dee8 · outbound

This paper cites Dgnn: Accurate darknet application classification adopting attention graph neural network,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Dgnn: Accurate darknet application classification adopting attention graph neural network,

Reference 23

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Observation f2829323-aa3e-411c-9530-301b492e3362 · outbound

This paper cites Flow-based encrypted network traffic classification with graph neural networks,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Flow-based encrypted network traffic classification with graph neural networks,

Reference 24

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Observation 0a601045-9274-4739-a46f-241ecbe15327 · outbound

This paper cites Dual-channel interactive graph transformer for traffic classification with message-aware flow JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 representation,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Dual-channel interactive graph transformer for traffic classification with message-aware flow JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 13 representation,

Reference 25

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Observation b3b2ce85-2313-4966-97c1-b2c5a9ecc103 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Kimi K2: Open Agentic Intelligence

Reference 26

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 44ddd250-24f9-44ff-a947-f9e864b73f39 · outbound

This paper cites Scaling vision with sparse mixture of experts,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Scaling vision with sparse mixture of experts,

Reference 27

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Observation 141466a4-7172-459c-869a-497992832f3f · outbound

This paper cites MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Reference 28

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arxiv_id, observed 2026-07-02T11:16:53.080348Z

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Observation 489cc917-79c6-4554-a753-b5fad982540b · outbound

This paper cites Qwen3-VL Technical Report.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Qwen3-VL Technical Report

Reference 29

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:3f492e012e2e536d8e5e526370ef4a635ac0baca3bb3559715b785dbc693c766

Observation 3076f3ab-520a-42af-b747-6bdd6dcc6554 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 30

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Observation 13a799c5-4476-487b-91be-02bd247ab312 · outbound

This paper cites Time-moe: Billion-scale time series foundation models with mixture of experts,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Time-moe: Billion-scale time series foundation models with mixture of experts,

Reference 31

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source=pdf_text observed=2026-06-28T04:25:27.524541Z digest=sha256:b5a0a2556e3f96c4b07e5270a29a567bb860c92a6a0be01045f6754e0ac2c4da

Observation 5499d29d-3da4-4815-8c0d-4d359305d2bc · outbound

This paper cites Moirai-moe: Empowering time series foundation models with sparse mixture of experts,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Moirai-moe: Empowering time series foundation models with sparse mixture of experts,

Reference 32

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Observation 479b9da5-f860-448d-9fe0-64079023299f · outbound

This paper cites Cl-vime: Contrastive learning and vision mixture of experts for encrypted traffic classifica- tion,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Cl-vime: Contrastive learning and vision mixture of experts for encrypted traffic classifica- tion,

Reference 33

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Observation e262056c-627d-4a81-b1cc-a32041796026 · outbound

This paper cites Sok: Decoding the enigma of encrypted network traffic classifiers,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Sok: Decoding the enigma of encrypted network traffic classifiers,

Reference 34

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Observation da94d654-0447-4cfa-9610-aa2874dd75f7 · outbound

This paper cites The sweet danger of sugar: Debunking representation learning for encrypted traffic classification,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis The sweet danger of sugar: Debunking representation learning for encrypted traffic classification,

Reference 35

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Observation d12ddd79-9847-411e-8518-38249ef201ef · outbound

This paper cites Accelerating distributed dlrm training with optimized tt decomposition and micro- batching,.

Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis Accelerating distributed dlrm training with optimized tt decomposition and micro- batching,

Reference 36

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