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Paper Citation Record · LEDGER

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.12445.

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

pith.paper-citation-record.v1
2505.12445 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:31.784085Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy31
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b37baca-05fe-49c2-9635-4e3019a93e69 · outbound

This paper cites Burstsketch: Finding bursts in data streams.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Burstsketch: Finding bursts in data streams

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.173749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b2f1d58f-14d2-47df-a294-bd56f8a61aca · outbound

This paper cites AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection

Reference 2

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local_arxiv, observed 2026-08-15T20:41:31.822141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3a1713d8-ddf8-442b-a2d1-d137211ffa3e · outbound

This paper cites Ddos threat report for 2023 q4, January 2024.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Ddos threat report for 2023 q4, January 2024

Reference 3

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raw_fallback, observed 2026-08-15T20:41:32.162548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e476b6a6-90ac-4806-b5a3-90695762b5f0 · outbound

This paper cites Poseidon: Mitigating volumetric ddos attacks with programmable switches.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Poseidon: Mitigating volumetric ddos attacks with programmable switches

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.150308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.678839Z digest=sha256:364e1c87f74f58b4353e48dc3644157c7439936e0b348cb4ded51a2c79d2bf3e

Observation 55f51210-a093-4256-8c41-752fc7d373c7 · outbound

This paper cites Jaqen: A{High-Performance}{Switch-Native}approach for detecting and mitigating volumetric{DDoS}attacks with programmable switches.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Jaqen: A{High-Performance}{Switch-Native}approach for detecting and mitigating volumetric{DDoS}attacks with programmable switches

Reference 5

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raw_fallback, observed 2026-08-15T20:41:32.140429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.683108Z digest=sha256:b216d9221d61fa388a6f4e7567f566a266073a4949bc7efe10376f958497fb37

Observation 5dc683ca-8851-4ca7-a29c-c0f0b4f2b49f · outbound

This paper cites Quantifying the impact of blocklisting in the age of address reuse.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Quantifying the impact of blocklisting in the age of address reuse

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.130068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.686904Z digest=sha256:a17ceaf7c069dbbc20254bca2c29faf9fae3b4509f3f1b39830ab80603e989fb

Observation 7a7f5004-565c-4b9a-94b6-dfa78182e210 · outbound

This paper cites The unintended consequences of block- ing ip addresses, December 2022.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations The unintended consequences of block- ing ip addresses, December 2022

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.120744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.690382Z digest=sha256:de8465fc86d94d013f9ed0abf3108a0e542fae2f01a86f134950b188e45a74fd

Observation b830d9d3-073a-428c-adab-7abc9c6e5f1c · outbound

This paper cites Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.112022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.693523Z digest=sha256:5ed7844573935b7033b018d754e4a3061d40d46365f30f56808a6d4e85c46958

Observation 4ccb3df3-c43e-4630-bf6a-19877c22de0d · outbound

This paper cites Heavy-hitter detection entirely in the data plane.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Heavy-hitter detection entirely in the data plane

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.102846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.696539Z digest=sha256:5805d945b49569bfed24564a8f0608adb199fbca7a3a717100eaa5644d19a650

Observation ee0db205-06a4-4606-8558-36d5a6987fa8 · outbound

This paper cites Dear: Accelerating distributed deep learning with fine-grained all-reduce pipelining.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Dear: Accelerating distributed deep learning with fine-grained all-reduce pipelining

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.092134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.699472Z digest=sha256:3f8c9e2d66a8a8df6dbb6ea1c41c0fd198554cdaf0656db26be90637c8d59fdd

Observation 4d61c0ca-242d-48be-855e-ad9346743e88 · outbound

This paper cites One sketch to rule them all: Rethinking network flow monitoring with univmon.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations One sketch to rule them all: Rethinking network flow monitoring with univmon

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.080522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.702335Z digest=sha256:cca3582010b0f4fc2fc1bd1e3b71cc3f096171318a9c3777f6f8382537e1d219

Observation 44bda76e-a712-4ffe-87af-4056426ba039 · outbound

This paper cites Finding fre- quent items in data streams.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Finding fre- quent items in data streams

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.069413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.705744Z digest=sha256:869a09f5cc8c595b3530d434d31b2f06c5bc5d350d707d928d5062a82254dd09

Observation ce5963c1-37fe-42d0-b063-bfcea7072386 · outbound

This paper cites An improved data stream sum- mary: the count-min sketch and its applications.Journal of Algorithms, 55(1):58–75, 2005.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations An improved data stream sum- mary: the count-min sketch and its applications.Journal of Algorithms, 55(1):58–75, 2005

Reference 13

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raw_fallback, observed 2026-08-15T20:41:32.058356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.709460Z digest=sha256:c7d43e06b03ccf5e2743bae1d38799c5605bb02a6ce548f24bdba6072554b22a

Observation ee300e37-6162-4999-80b6-1b31e05edfcd · outbound

This paper cites New directions in traffic measure- ment and accounting.ACM SIGMCOMM CCR, 32(4), 2002.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations New directions in traffic measure- ment and accounting.ACM SIGMCOMM CCR, 32(4), 2002

Reference 14

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raw_fallback, observed 2026-08-15T20:41:32.047720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.713124Z digest=sha256:77a4541a1336ffc6f4e3b3398d5e688cdc499609b9a61a08f5c3d39e292740c5

Observation d423a06a-c7ff-47d9-987b-2d4ac1ef0ec2 · outbound

This paper cites Elastic sketch: Adaptive and fast network-wide measurements.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Elastic sketch: Adaptive and fast network-wide measurements

Reference 15

Resolution
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raw_fallback, observed 2026-08-15T20:41:32.037979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.716379Z digest=sha256:f2cd4ec2291b29380abbe3e7522ae82947a8557bba29d8b95003a2cd37589ee8

Observation a4d439b6-ff07-400e-9c56-dbf8509cef1e · outbound

This paper cites https://mawi.wide.ad.jp/mawi/.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations https://mawi.wide.ad.jp/mawi/

Reference 16

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raw_fallback, observed 2026-08-15T20:41:32.027681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.719637Z digest=sha256:7d840e49ba4dcb3bc312040dcce5c99d64b40b9355f26df75f165d80d1abaf41

Observation f3402729-4baa-4220-939f-1e90fac693c0 · outbound

This paper cites Finding hierarchical heavy hitters in streaming data.ACM Transactions on Knowledge Discovery from Data (TKDD), 1(4):1–48, 2008.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Finding hierarchical heavy hitters in streaming data.ACM Transactions on Knowledge Discovery from Data (TKDD), 1(4):1–48, 2008

Reference 17

Resolution
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raw_fallback, observed 2026-08-15T20:41:32.016556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.723149Z digest=sha256:0ff5a2d1ab7c6754ae0267bd8d4262d01fb228f629d2e046133f3152e0bb4f5f

Observation d79d5266-69eb-4854-b843-b4e2eacb7d3f · outbound

This paper cites Hierarchical heavy hitters with the space saving algorithm.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Hierarchical heavy hitters with the space saving algorithm

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:32.004291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.726496Z digest=sha256:9c673ee5f9a63d68650fa650e93e8b46123cef04a5874a604aefdd938c51818e

Observation abce7bff-dc03-4b03-8b20-a156c1d5fafb · outbound

This paper cites Mvpipe: Enabling lightweight updates and fast convergence in hierarchical heavy hitter detection.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Mvpipe: Enabling lightweight updates and fast convergence in hierarchical heavy hitter detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.992558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.730144Z digest=sha256:4b4bd2d3c23055976238e0b614c153b48d6d30d659df1c8e2617856a904a0895

Observation 97ca677c-aa6e-4f88-bad1-78e8c5ecbf90 · outbound

This paper cites Data sketches for disaggregated subset sum and frequent item estimation.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Data sketches for disaggregated subset sum and frequent item estimation

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.980415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.733490Z digest=sha256:e15643065cad7a57d1cbb986157d8996a8fbeaaf63a4dc43b4dd9ad12dec0a77

Observation 17a608e7-d709-47bc-9bb4-60683ed540bd · outbound

This paper cites Cocosketch: High- performance sketch-based measurement over arbitrary partial key query.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Cocosketch: High- performance sketch-based measurement over arbitrary partial key query

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.969226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.737145Z digest=sha256:e9baa59f895d6fb64e79666ccb1cffc35e9353af642d85637cad15c25c00bf8f

Observation aa71bec0-ed2a-41b5-8f27-15d4d544e7ee · outbound

This paper cites Hyper-uss: Answering subset query over multi-attribute data stream.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Hyper-uss: Answering subset query over multi-attribute data stream

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.957473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.740449Z digest=sha256:8ec84369288eb2e23c83b3a6ca795a8b3a8a09185fee1994ee5df3daad93213c

Observation ec55d2fc-2114-4679-8c7f-39eb3b7437f7 · outbound

This paper cites Constant time updates in hierarchical heavy hitters.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Constant time updates in hierarchical heavy hitters

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.946051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.744214Z digest=sha256:537bb5177ee9126677d5eec907fc2baab677ef7d746125e8a1624b6be99c1f41

Observation 7ef95ae1-ae6b-4e1f-9c83-98e92152e02d · outbound

This paper cites Deep residual learning for image recognition.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Deep residual learning for image recognition

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:31.747960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:31.747960Z digest=sha256:0949bc327fbd2da5eae7926ebeade4ef3478309a7335c7bf71955883102f5a79

Observation e1314b0f-4b80-492d-acc5-ae34e776ae07 · outbound

This paper cites Efficient computation of frequent and top-k elements in data streams.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Efficient computation of frequent and top-k elements in data streams

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:31.751427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:31.751427Z digest=sha256:743e1ce5e575d727643530ae0ed8be743af068d27b42ead43941e36279ee0d87

Observation 783b8369-2145-467b-baf1-85c74b2118e2 · outbound

This paper cites Approximate frequency counts over data streams.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Approximate frequency counts over data streams

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.922644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.755150Z digest=sha256:d9e74304f9eee7633240e9569274cac48a48f4cc7d43f5500008ad666a619fa2

Observation d899efed-feca-4010-9922-ea17f6cab483 · outbound

This paper cites A fast and compact invertible sketch for network-wide heavy flow detection.IEEE/ACM Transactions on Networking, 28(5):2350–2363, 2020.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations A fast and compact invertible sketch for network-wide heavy flow detection.IEEE/ACM Transactions on Networking, 28(5):2350–2363, 2020

Reference 27

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raw_fallback, observed 2026-08-15T20:41:31.913319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.758978Z digest=sha256:892b10697a2b6cf5e018a0b4fe8a445a38ca7b5110b51d1940dc50f8a9187d68

Observation a77e43e2-5156-4446-91c7-6afaf204ea73 · outbound

This paper cites Visibility of ipv4 and ipv6 prefix lengths in 2019, April 2019.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Visibility of ipv4 and ipv6 prefix lengths in 2019, April 2019

Reference 28

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raw_fallback, observed 2026-08-15T20:41:31.902949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.762151Z digest=sha256:29aecca3023521ec6b65919cb996a5aabdca169710b6aeff13f55b4b26cdcb38

Observation ecd02d02-e881-44a0-bc57-4022c91d7ed3 · outbound

This paper cites Sliding sketches: A framework using time zones for data stream processing in sliding windows.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Sliding sketches: A framework using time zones for data stream processing in sliding windows

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.892653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.765721Z digest=sha256:04b3c48a9d75918117bd4556ecaf03214574ba9c5704c3e9a43422ca01eb3278

Observation 4ec1821b-d84a-42fb-b083-acdb0a4480ab · outbound

This paper cites Microscopesketch: Accurate sliding estimation using adaptive zooming.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Microscopesketch: Accurate sliding estimation using adaptive zooming

Reference 30

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raw_fallback, observed 2026-08-15T20:41:31.880462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.768688Z digest=sha256:9ff65412285ed3dba6ca9e33b0c4e348cd7e62f9f287085074929094355de1c1

Observation d4242a61-4d66-4abe-97ab-8f78847465b1 · outbound

This paper cites Omniwin- dow: A general and efficient window mechanism framework for network telemetry.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Omniwin- dow: A general and efficient window mechanism framework for network telemetry

Reference 31

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raw_fallback, observed 2026-08-15T20:41:31.868518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.773158Z digest=sha256:6138b539316f910ded7c773ed34d91e6d74dd7b4af009a10bf881c0a364b530f

Observation 0387d363-0f3a-4fca-9d3a-1bd6a5e3b958 · outbound

This paper cites Double-anonymous sketch: Achieving top-k-fairness for finding global top-k frequent items.Proceedings of the ACM on Management of Data, 1(1):1–26, 2023.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations Double-anonymous sketch: Achieving top-k-fairness for finding global top-k frequent items.Proceedings of the ACM on Management of Data, 1(1):1–26, 2023

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.856759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.776661Z digest=sha256:0c5ba3b4f13b398e978eae53ba220af940c214ad3430405b5bf3f70e1337ff31

Observation a6909d4e-edd6-4f19-94e0-35724e4b5ed4 · outbound

This paper cites https://github.com/ ResidualSketch/ResidualSketch.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations https://github.com/ ResidualSketch/ResidualSketch

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.843961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.780266Z digest=sha256:c8ab1219ad493c89ab950a547b7b946c45a75c368da3291ccaf3b07e77bf81a4

Observation 398de126-8003-49ee-96ac-1b98065e4929 · outbound

This paper cites http://www.caida.org/data/ overview/.

ResidualSketch: Enhancing Layer Efficiency and Error Reduction in Hierarchical Heavy Hitter Detection with ResNet Innovations http://www.caida.org/data/ overview/

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:31.833686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:31.784085Z digest=sha256:9e1ad39999dd7c071acec6a25679a879cf96d66759abea20dd5bb5ff7695d033

Pith citing papers

No inbound Pith citation observations are available.