Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:45:22.027286Z
Paper Citation Record · LEDGER
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate
As of 18 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2509.00397.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
85 of 85 outbound references displayed
- verified exact5
- verified fuzzy68
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 808146ee-e4c6-443c-93d2-32ea135c0f1f · outbound
This paper cites Pensando.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Pensando
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:14.551825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dadc3b3b-12c8-44ce-ba4d-26773d201d71 · outbound
This paper cites Machine Learning for En- crypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Machine Learning for En- crypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:14.619501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97d3d645-b62b-4109-ad90-43c28fd5b9ef · outbound
This paper cites Opentuner: An Extensible Framework for Program Autotuning.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Opentuner: An Extensible Framework for Program Autotuning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:14.744583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 687fa6a5-a512-4bf4-bba2-0a943dc1a1a1 · outbound
This paper cites Practical Traffic Analysis Attacks on Secure Messaging Applications.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Practical Traffic Analysis Attacks on Secure Messaging Applications
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:14.848848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 963e09f2-3ee3-4e90-98ea-1be18ce5a1ec · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:14.924866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 617ece89-a22e-40e9-97c8-e025adcc4fee · outbound
This paper cites Understanding data center traffic characteristics.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Understanding data center traffic characteristics
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:35.328483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 32c08f3b-cbc7-4729-b3c7-97b843652c3f · outbound
This paper cites Bergstra, D.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Bergstra, D
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:35.161459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e362a41-9021-43af-9341-a40c15626b2b · outbound
This paper cites P4: Programming Protocol-Independent Packet Processors.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate P4: Programming Protocol-Independent Packet Processors
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:34.949513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1316a1b3-5344-49e4-bc49-f32595919601 · outbound
This paper cites Forwarding Metamorphosis: Fast Programmable Match-Action Processing in Hardware for SDN.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Forwarding Metamorphosis: Fast Programmable Match-Action Processing in Hardware for SDN
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:34.755367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ca783d82-edb3-4da9-87ae-1a82fae2475e · outbound
This paper cites Trident 5 / BCM78800 Series.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Trident 5 / BCM78800 Series
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:34.561128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bf655304-bd9b-4dc8-9a81-4dbee42ae0c1 · outbound
This paper cites Trident4/BCM56880 Series.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Trident4/BCM56880 Series
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:34.360681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05d2fe06-b58d-4a5f-9a3a-59e4d0177cc2 · outbound
This paper cites pForest: In-Network Inference with Random Forests.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate pForest: In-Network Inference with Random Forests
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:15.647845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 237f2abb-00db-4ac2-a226-5870c1a63625 · outbound
This paper cites CIC IDS 2017 Dataset.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CIC IDS 2017 Dataset
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:34.095072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bb1fd775-9cda-42f0-9884-f7dc01a3a21f · outbound
This paper cites CIC IDS 2018 Dataset.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CIC IDS 2018 Dataset
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:33.841401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 027f0a3a-35f7-4306-9fda-734e90f55112 · outbound
This paper cites CIC IoMT 2024 Dataset.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CIC IoMT 2024 Dataset
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:33.593958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3952ffdc-076c-4bd3-a427-0b31a72762f7 · outbound
This paper cites CIC IoT 2023 Dataset.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CIC IoT 2023 Dataset
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:33.363639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8674f8a3-a048-45a6-878f-1038911e2a5a · outbound
This paper cites CIC VPN Dataset.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CIC VPN Dataset
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:33.114248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 31ecd33f-d5fe-4a8f-923f-d6fecfce8a7a · outbound
This paper cites Tensor Processing Units (TPUs).
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Tensor Processing Units (TPUs)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:32.871545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 627c3739-721e-4fb6-9c89-e77c8d280d8f · outbound
This paper cites Intel P4 Insight.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Intel P4 Insight
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:32.690700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ad111f03-27ff-4a6c-a7ff-a905a5607eb8 · outbound
This paper cites Intel ® P4 Studio.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Intel ® P4 Studio
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:32.449087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f6d3a88f-1f21-4ac0-9cc3-2ecdfd79489d · outbound
This paper cites NVIDIA T4 Tensor Core GPU.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate NVIDIA T4 Tensor Core GPU
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:32.213554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 79aea255-d9d3-44ca-a3be-b678d3370a14 · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:45:32.108315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 681c94fa-f3c4-4d48-a507-756ec66db875 · outbound
This paper cites Brighten Godfrey, and Michael Schapira.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Brighten Godfrey, and Michael Schapira
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:32.017685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4ef27ebb-3d19-4a8b-a3f3-6951a972910d · outbound
This paper cites HorusEye: A Realtime IoT Malicious Traffic Detec- tion Framework using Programmable Switches.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate HorusEye: A Realtime IoT Malicious Traffic Detec- tion Framework using Programmable Switches
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.828227Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d75a6c65-7630-475c-bf2a-102e603afec8 · outbound
This paper cites Doriguzzi-Corin, S.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Doriguzzi-Corin, S
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.679376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f2e3230b-55d4-48c7-86ca-a95def77673d · outbound
This paper cites Moongen: A Scriptable High- Speed Packet Generator.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Moongen: A Scriptable High- Speed Packet Generator
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.499877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 665756db-67d5-4d54-af5f-8a2adb1f8148 · outbound
This paper cites BOHB: Robust and efficient hyperparameter optimization at scale.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate BOHB: Robust and efficient hyperparameter optimization at scale
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.391719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 61a228ef-9c52-4300-a5f3-a582ab5e725f · outbound
This paper cites Stratum OS.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Stratum OS
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.225380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6752a8a9-1dc3-4797-9685-62a0b20868b2 · outbound
This paper cites Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:31.118771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 909ad67c-5ff8-46e3-92d0-c3ffd09d2e4a · outbound
This paper cites Network Pro- gramming Language (NPL) Specification.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Network Pro- gramming Language (NPL) Specification
Reference 30
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T13:45:22.990057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f7bc04bb-4be8-4fcd-8453-b10e4379463c · outbound
This paper cites Characterization of encrypted and VPN traffic using time-related features.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Characterization of encrypted and VPN traffic using time-related features
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.984614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b0f07b16-dad3-41cd-a02f-92b5f16d125f · outbound
This paper cites CICFlowMeter.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CICFlowMeter
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.839238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10c75ba9-75f0-4a70-a254-b9d840b3f936 · outbound
This paper cites PostgreSQL.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate PostgreSQL
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.727005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4eec58aa-cb0a-417e-9b1b-70de1629af72 · outbound
This paper cites Gupta, R.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Gupta, R
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.611022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 27f123ae-f313-4594-99e7-18a3075eacae · outbound
This paper cites netFound: Principled Design for Network Foundation Models.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate netFound: Principled Design for Network Foundation Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:45:17.761178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dc098d3-1f61-415f-bac4-16d01e3eb220 · outbound
This paper cites CUBIC: A New TCP- Friendly High-Speed TCP Variant.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate CUBIC: A New TCP- Friendly High-Speed TCP Variant
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.486041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d39b64df-3f74-4ca7-bf91-23f221a39b3b · outbound
This paper cites Moore, Gianni Antichi, and Marcin Wój- cik.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Moore, Gianni Antichi, and Marcin Wój- cik
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.367260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 39e26a03-c9a5-4718-ab56-e77258a2a7d5 · outbound
This paper cites Understanding the CRC32 Hash: A Comprehensive Guide.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Understanding the CRC32 Hash: A Comprehensive Guide
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:30.241542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 17ec53f9-01ad-465d-9c1d-04fcb657f665 · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:45:30.098838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c27e5d5a-2c47-4c01-8fdf-4587c36f91a8 · outbound
This paper cites Intel Ethernet Network Adapter X710.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Intel Ethernet Network Adapter X710
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.983704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bcb2d14d-9136-4523-92eb-954c6c9200a3 · outbound
This paper cites Tofino: P4-programmable Ethernet switch ASIC that delivers better performance at lower power.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Tofino: P4-programmable Ethernet switch ASIC that delivers better performance at lower power
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.852578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1de7dec6-d868-4873-8c86-b72d8d9fe2a7 · outbound
This paper cites Tofino2: Second-generation P4-programmable Ethernet Switch ASIC that Continues to De- liver Programmability without Compromise.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Tofino2: Second-generation P4-programmable Ethernet Switch ASIC that Continues to De- liver Programmability without Compromise
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.708640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5416891b-ae8c-4be9-a527-842057a29c46 · outbound
This paper cites Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.560049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bea22191-251b-48c0-82ba-cc43a86cf898 · outbound
This paper cites AC-DC: Adaptive Ensemble Classification for Network Traffic Identification.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate AC-DC: Adaptive Ensemble Classification for Network Traffic Identification
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:45:22.782341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1369be95-4706-4508-b38f-cff54a32e534 · outbound
This paper cites GPflowOpt: A Bayesian Optimization Library using TensorFlow.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate GPflowOpt: A Bayesian Optimization Library using TensorFlow
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:45:22.613928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f0d7eb92-8b22-4a0d-9a69-94e4f235a27b · outbound
This paper cites The IPU: A New, Strate- gic Resource for Cloud Service Providers.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate The IPU: A New, Strate- gic Resource for Cloud Service Providers
Reference 46
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T13:45:22.465472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4de58cdc-3f2f-4c45-a6e4-99df39e0ee15 · outbound
This paper cites Characterization of tor traffic using time based features.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Characterization of tor traffic using time based features
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.414068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 96720761-d142-4e96-b7b6-dc9eaf710d97 · outbound
This paper cites HPCC: High Precision Congestion Control.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate HPCC: High Precision Congestion Control
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.298770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1950a001-48ff-465a-94e7-d9fcf3fea4b5 · outbound
This paper cites SMAC3: A versatile Bayesian optimization package for hyperparameter optimiza- tion.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate SMAC3: A versatile Bayesian optimization package for hyperparameter optimiza- tion
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.190622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 664147f6-555a-4613-a885-553dac66eca5 · outbound
This paper cites ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:45:22.179777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c4d95599-d8f6-4373-8465-7270f7117b6e · outbound
This paper cites Neural Adaptive Video Streaming with Pensieve.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Neural Adaptive Video Streaming with Pensieve
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:29.073444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05248c1a-a765-48b7-9dca-1a615088ca80 · outbound
This paper cites Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.934399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a5ba5b7-903b-4eaf-a2cb-ce5c39fae37a · outbound
This paper cites Algorithmic Performance- accuracy Trade-off in 3D Vision Applications using Hyper- mapper.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Algorithmic Performance- accuracy Trade-off in 3D Vision Applications using Hyper- mapper
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.823446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 98907fd1-56a3-48ba-a7e3-6463c2cebfe1 · outbound
This paper cites ConnectX-6 Network Adapters.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate ConnectX-6 Network Adapters
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.719366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a9c1de6a-b9a1-4209-a2b0-74f5c7c96177 · outbound
This paper cites DOCA Documentation.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate DOCA Documentation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.612437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 40fc3a25-8286-4dc2-9451-ca28e57bdc90 · outbound
This paper cites Nvidia BlueField Data Processing Units.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Nvidia BlueField Data Processing Units
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.374338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4f7e175a-6c3c-4af9-8959-985f4f7352fd · outbound
This paper cites NVIDIA Spectrum-X: Ethernet Networking Platform for AI.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate NVIDIA Spectrum-X: Ethernet Networking Platform for AI
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:28.033527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 514f7972-2fd1-4799-b9a7-d8d46c908cf0 · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:45:27.893249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9be831dc-268a-4808-9135-f8b5463468c0 · outbound
This paper cites Scikit-learn: Machine learning in Python.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Scikit-learn: Machine learning in Python
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:27.765428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d0a50a44-2eaa-44bf-a1cb-0703bf507742 · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:45:27.640731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d4e03497-10c5-426b-829a-d2d0d6973517 · outbound
This paper cites an unresolved cited work.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T13:45:27.485303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 84e876dd-1ef8-4b05-9252-d3782d8dfc31 · outbound
This paper cites Elastic RSS: Co-Scheduling Packets and Cores Using Programmable NICs.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Elastic RSS: Co-Scheduling Packets and Cores Using Programmable NICs
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:27.357372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 82e2a517-9082-4590-b13b-dec04df60ee8 · outbound
This paper cites The case for an intermediate representation for programmable data planes.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate The case for an intermediate representation for programmable data planes
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:27.203207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d23be946-2366-4ad7-b7b6-68ad4c3e9666 · outbound
This paper cites Query planning for robust and scalable hybrid network telemetry systems.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Query planning for robust and scalable hybrid network telemetry systems
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:27.061473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation abf60c31-84e1-47f0-99ad-48c12873d829 · outbound
This paper cites Exploring Hyperparameter Usage and Tuning in Machine Learning Re- search.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Exploring Hyperparameter Usage and Tuning in Machine Learning Re- search
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:26.920523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c09589b8-7830-4fcf-8bd1-8ba7c4f4075d · outbound
This paper cites Re-architecting Traffic Analysis with Neural Network Interface Cards.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Re-architecting Traffic Analysis with Neural Network Interface Cards
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:26.749518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b942314a-cae7-4e09-96bf-890e8dfff44d · outbound
This paper cites Taurus: A Data Plane Architecture for Per-Packet ML.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Taurus: A Data Plane Architecture for Per-Packet ML
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:26.636939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation da7010ac-5166-44a0-aaf8-2f15c0077484 · outbound
This paper cites Homunculus: Auto-Generating Ef- ficient Data-Plane ML Pipelines for Datacenter Networks.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Homunculus: Auto-Generating Ef- ficient Data-Plane ML Pipelines for Datacenter Networks
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:26.445323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2d928422-0bfd-49d2-8592-eeb83889e34b · outbound
This paper cites Tensorflow.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Tensorflow
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:26.149665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d8c862b8-c7cd-498c-b190-9f82f0681430 · outbound
This paper cites Malware traffic classification using convo- lutional neural network for representation learning.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Malware traffic classification using convo- lutional neural network for representation learning
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.862689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6f698f23-b943-4d39-9a10-c467554e7e38 · outbound
This paper cites xNIDS: Explaining Deep Learning-based Network Intrusion Detection Systems for Active Intrusion Responses.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate xNIDS: Explaining Deep Learning-based Network Intrusion Detection Systems for Active Intrusion Responses
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.765123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d30a3bb7-c8b2-458e-9d65-bf542ec79cdd · outbound
This paper cites Bayesian Optimization.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Bayesian Optimization
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.662325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f99a18e4-c995-4ec1-83df-63ffb336f878 · outbound
This paper cites TCP ex machina: Computer-generated Congestion Control.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate TCP ex machina: Computer-generated Congestion Control
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.469326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d07ce629-9a4b-455a-8d82-0e27e9d7e768 · outbound
This paper cites A GPU-accelerated network traf- fic monitoring and analysis system.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate A GPU-accelerated network traf- fic monitoring and analysis system
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.292798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 55254f05-b1a4-4fbf-a4e4-030a5e043c9c · outbound
This paper cites Mousika: Enable General In-Network Intel- ligence in Programmable Switches by Knowledge Distillation.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Mousika: Enable General In-Network Intel- ligence in Programmable Switches by Knowledge Distillation
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:25.049125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 789c6f2a-7269-483b-9e89-681ee183363e · outbound
This paper cites Rosetta: Enabling Robust TLS Encrypted Traffic Classification in Diverse Net- work Environments with TCP-Aware Traffic Augmentation.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Rosetta: Enabling Robust TLS Encrypted Traffic Classification in Diverse Net- work Environments with TCP-Aware Traffic Augmentation
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:24.744171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 431cbf71-b0af-4edb-8c67-11accd4349bc · outbound
This paper cites Alveo SN1000 SmartNICs.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Alveo SN1000 SmartNICs
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:24.413963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 968cf07c-4fea-4950-baa3-d4bec2164def · outbound
This paper cites Alveo U250 Data Center Accelerator Card.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Alveo U250 Data Center Accelerator Card
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:24.221561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 04093fc1-d0b6-4150-9abc-9d690cf2a8af · outbound
This paper cites Do Switches Dream of Machine Learning? Toward In-Network Classification.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Do Switches Dream of Machine Learning? Toward In-Network Classification
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:24.042193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bbf77c45-b561-4618-93c8-14b7e6a12eb3 · outbound
This paper cites X2 Programmable Ethernet Switch.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate X2 Programmable Ethernet Switch
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.923411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 133521e3-3ee9-4ec1-b80e-8cdcac38cd80 · outbound
This paper cites Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein
Reference 81
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.742085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ef6795ee-84c0-43aa-9674-d033837aded4 · outbound
This paper cites Pantheon: The Training Ground for Internet Congestion-Control Research.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Pantheon: The Training Ground for Internet Congestion-Control Research
Reference 82
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.581985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f76b5e96-186a-48e9-a369-040175af36e5 · outbound
This paper cites Brain-on-switch: towards advanced intelligent network data plane via NN-driven traffic analysis at line-speed.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Brain-on-switch: towards advanced intelligent network data plane via NN-driven traffic analysis at line-speed
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.418855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 156998ce-7612-4db1-a24b-6955e5f1ac8f · outbound
This paper cites Planter: Rapid prototyping of in-network machine learning inference.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate Planter: Rapid prototyping of in-network machine learning inference
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.282629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation da5e728f-7137-4b8a-a110-d60b50863a3f · outbound
This paper cites An Efficient Design of Intelligent Network Data Plane.
SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate An Efficient Design of Intelligent Network Data Plane
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:45:23.119357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.