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Paper Citation Record · LEDGER

Detecting Flow Gaps in Data Streams

As of 23 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.13945.

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

pith.paper-citation-record.v1
2505.13945 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:45:02.610137Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 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

54 of 54 outbound references displayed

  • verified exact0
  • verified fuzzy50
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db37025b-6b3e-4dff-bb6d-7b58694d4abc · outbound

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

Detecting Flow Gaps in Data Streams https://github.com/ GapFilter/GapFilter

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:18.681398Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:56.857792Z digest=sha256:bc32c7bfc7d1b4f5e7e89a836bc11491141b012c6e19b09b1f6e2f79aaf6a61e

Observation 8dbc09f3-0d5e-4929-80dd-96ec32858ebb · outbound

This paper cites Anomaly detection based on data stream monitoring and prediction with improved gauss- ian process regression algorithm.

Detecting Flow Gaps in Data Streams Anomaly detection based on data stream monitoring and prediction with improved gauss- ian process regression algorithm

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T15:45:18.403362Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:56.964815Z digest=sha256:956b5e98147209955528620adf42a854c3577899f5aad97daf8cf67659b3581e

Observation 896a3d77-45dd-459e-9730-916a73687d96 · outbound

This paper cites Spotlight: Detecting anomalies in streaming graphs.

Detecting Flow Gaps in Data Streams Spotlight: Detecting anomalies in streaming graphs

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:17.854747Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.066987Z digest=sha256:cd97c19e91548e31a5960e541bf565e8490399efe88df71a8e4fc520016e5717

Observation 3786749c-17ce-490a-ae91-f20aa93628c8 · outbound

This paper cites Bursts- ketch: Finding bursts in data streams.

Detecting Flow Gaps in Data Streams Bursts- ketch: Finding bursts in data streams

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:17.489624Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.165019Z digest=sha256:5954eb74e0d7a60a5f9904223b27bf103fa36f00663189e8daac2402df1e34bd

Observation 70b78daf-4adb-48f8-b198-bf74d4bd607f · outbound

This paper cites Fast memory-efficient anomaly detection in streaming heterogeneous graphs.

Detecting Flow Gaps in Data Streams Fast memory-efficient anomaly detection in streaming heterogeneous graphs

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:17.198250Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.306058Z digest=sha256:faddb862ce55fb4489aff9c2126368a632a685933650938e5954544a08687276

Observation d764bbdb-d66a-48ef-9d6b-5b522d997261 · outbound

This paper cites {SketchLib}: Enabling efficient sketch-based monitoring on programmable switches.

Detecting Flow Gaps in Data Streams {SketchLib}: Enabling efficient sketch-based monitoring on programmable switches

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:16.984660Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.393738Z digest=sha256:ea9d1b22e473b3ba7808bbb8abfa745ab0570b7c771f71b419b2c122db7825ff

Observation 98df92a4-0b1b-4e8c-9727-77dab2f4e2f1 · outbound

This paper cites Bitsense: Universal and nearly zero-error optimization for sketch counters with compressive sensing.

Detecting Flow Gaps in Data Streams Bitsense: Universal and nearly zero-error optimization for sketch counters with compressive sensing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:16.630264Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.477957Z digest=sha256:893dd2faa09cd2d68e3f7bed421032c68ec8a73e0375c453b0ec7f8727f2d53f

Observation 0bd4756f-c6a1-47f1-8cf8-d3881702e72c · outbound

This paper cites Machine learning based concept drift detection for predictive maintenance.

Detecting Flow Gaps in Data Streams Machine learning based concept drift detection for predictive maintenance

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:16.204982Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.624729Z digest=sha256:53f7e3321618082cc118798a46132e3ee579942e29545595e37fda0bfcb70262

Observation b6ec634f-4867-4327-8f73-e8b105d62d42 · outbound

This paper cites Big data and stream processing platforms for industry 4.0 requirements mapping for a predictive maintenance use case.

Detecting Flow Gaps in Data Streams Big data and stream processing platforms for industry 4.0 requirements mapping for a predictive maintenance use case

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:15.855958Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.746286Z digest=sha256:7d782fd3f23e76642d9e72f163ebe32f0afc6964f442149273294de80d24c1a7

Observation 7282a5ba-bf3e-439a-a3d9-a4b4a8c5e1cf · outbound

This paper cites Data-driven maintenance: combining predictive maintenance and mixed reality-supported remote assis- tance.

Detecting Flow Gaps in Data Streams Data-driven maintenance: combining predictive maintenance and mixed reality-supported remote assis- tance

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:15.480304Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.864747Z digest=sha256:5edac4b252132b72fd172f1f29db1e9e0adbe6c329ed47d8b0f643505f40ef82

Observation 3d4e830d-1181-44c7-8f01-291da25563b2 · outbound

This paper cites An e-customer behavior model with online analytical mining for internet marketing planning.

Detecting Flow Gaps in Data Streams An e-customer behavior model with online analytical mining for internet marketing planning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:14.920411Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:57.988807Z digest=sha256:f9f638893022214257ed430e887b2caac71a22bceb688c958521b45a86785b33

Observation 1f4e8144-f583-4ca5-9e15-2f68cebbfa0d · outbound

This paper cites Customer behavior analysis using real-time data processing: A case study of digital signage-based online stores.

Detecting Flow Gaps in Data Streams Customer behavior analysis using real-time data processing: A case study of digital signage-based online stores

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:14.554902Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.051782Z digest=sha256:f5f0bfc16177febdf1429327ffd27f3221bbd7890472ecf2a7c2f176be129479

Observation f43f4e44-ffa2-4dee-b062-4c2094d4a706 · outbound

This paper cites An architecture for the real-time data stream monitoring in iot.

Detecting Flow Gaps in Data Streams An architecture for the real-time data stream monitoring in iot

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:14.204738Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.275192Z digest=sha256:b7c3c5f8e511ef93910606c9b3e2d4c37857a504b1c2fb5e757ea0ec5d5ef6e7

Observation d1da125b-9695-40f9-b6f2-d8b560284ab5 · outbound

This paper cites Reversible sketches: enabling monitoring and analysis over high-speed data streams.

Detecting Flow Gaps in Data Streams Reversible sketches: enabling monitoring and analysis over high-speed data streams

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:13.638866Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.405189Z digest=sha256:a0e7397a5432740731e4962767ddb3e9d4f4752c992655468dc3567da342482a

Observation f550f037-410f-4976-a4ac-26e54b37d726 · outbound

This paper cites On- board vehicle data stream monitoring using minefleet and fast resource con- strained monitoring of correlation matrices.

Detecting Flow Gaps in Data Streams On- board vehicle data stream monitoring using minefleet and fast resource con- strained monitoring of correlation matrices

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:13.416114Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.532286Z digest=sha256:bad26a98fc84775d1f5ee7e958f00c3e163e06c1a2920ad8bbacbb509d6da79e

Observation ed0cc145-3c7f-47d2-972e-a1cf7f4ff69a · outbound

This paper cites An improved data stream summary: the count-min sketch and its applications.

Detecting Flow Gaps in Data Streams An improved data stream summary: the count-min sketch and its applications

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:58.694748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:58.694748Z digest=sha256:497b4077eeeae37c6361525df8f5f9f8de2ec9e159df2b582ab949441191e928

Observation 5181c22a-c97b-465f-a1da-a305a4db23c1 · outbound

This paper cites New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice.

Detecting Flow Gaps in Data Streams New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:13.124741Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.828868Z digest=sha256:5631e9c5aca760fa09cf5240e59772eada651de0c04de15d3a53e59b23346f0d

Observation b5350f6b-0fef-4ad4-a9a5-fe3b55495e13 · outbound

This paper cites Finding frequent items in data streams.

Detecting Flow Gaps in Data Streams Finding frequent items in data streams

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:12.758114Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:58.994748Z digest=sha256:aca697760fa3addebe8e8c470cb2b826d7bc5323e7b1fb420e09cd2257f5a2d7

Observation 4939f387-8d16-443c-8d48-da9152c006dd · outbound

This paper cites Per-flow traffic measurement through randomized counter sharing.

Detecting Flow Gaps in Data Streams Per-flow traffic measurement through randomized counter sharing

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:12.474746Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.077721Z digest=sha256:5c750279b0f1f33eeb2ad22e6558d0c620be66d276bb5a9ab9dc09c448371c6c

Observation 2877ce7f-d3cc-4e3c-b009-f79f797c5a3e · outbound

This paper cites Sequential dependencies.

Detecting Flow Gaps in Data Streams Sequential dependencies

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:12.274746Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.225653Z digest=sha256:76e3f905064cfe90eb2ba098b1cfeb881d1922335939cc1ea849c7d0e7ad0622

Observation 1d605121-0ff8-4482-a3ea-553b8c7b3a7f · outbound

This paper cites Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization.

Detecting Flow Gaps in Data Streams Effective and Complete Discovery of Order Dependencies via Set-based Axiomatization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:59.351252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:59.351252Z digest=sha256:09c0bcf7ddb7ab9181eeecdc66fe4691e6c0ddd9e1324afa7b9ec04ca026fac5

Observation f8aa15ce-5fec-4908-a3e3-55187a4df4a7 · outbound

This paper cites Data auditor: Exploring data quality and semantics using pattern tableaux.

Detecting Flow Gaps in Data Streams Data auditor: Exploring data quality and semantics using pattern tableaux

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:12.031169Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.418921Z digest=sha256:9fbb18cdf9d247aff8c757ed8fa8e6c67f3519b1a5ac14b8e9d41740a19e3e23

Observation 6fcd974d-aa50-4d06-9011-0913ba15dc7a · outbound

This paper cites Issues in data stream management.

Detecting Flow Gaps in Data Streams Issues in data stream management

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:11.740029Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.524896Z digest=sha256:b757c6f03401d34bb41ebc1bdb89756b32eb16d28301825756aba5d194c09bd1

Observation 6c2d963a-6e9e-4fe6-9ac9-739db9e757a0 · outbound

This paper cites Update-pattern-aware modeling and process- ing of continuous queries.

Detecting Flow Gaps in Data Streams Update-pattern-aware modeling and process- ing of continuous queries

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:11.452737Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.594747Z digest=sha256:84a32d01c1fda5c449d289d19b5878c1d96bd660fc5ce6cff76bea63a9c1bcea

Observation 76a4ff7d-0826-4d26-b131-36d3db547004 · outbound

This paper cites New techniques for assessing audio and video quality in real-time interactive communications.

Detecting Flow Gaps in Data Streams New techniques for assessing audio and video quality in real-time interactive communications

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:11.237669Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.664747Z digest=sha256:b0388fe495cd4267f79590662c14c88dcf2cfffe9e0da40489c36c123b3bf39e

Observation d91b3e1b-4c51-4d33-88a0-a9d1382cafb2 · outbound

This paper cites A performance study of ethernet audio video bridging (avb) for industrial real-time communication.

Detecting Flow Gaps in Data Streams A performance study of ethernet audio video bridging (avb) for industrial real-time communication

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:10.925360Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.784092Z digest=sha256:d92e293afeeeef1f999f8ea3f783c35fc9a55582e6c30fdafffdd1809e531001

Observation 7d71c93f-b8b0-4afa-ba61-5b3c8307620e · outbound

This paper cites A survey on steganography techniques in real time audio signals and evaluation.International Journal of Computer Science Issues (IJCSI) , 9(1):30, 2012.

Detecting Flow Gaps in Data Streams A survey on steganography techniques in real time audio signals and evaluation.International Journal of Computer Science Issues (IJCSI) , 9(1):30, 2012

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:10.597648Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.874739Z digest=sha256:bdce3c221ea6144888aa066bfab551a69bd3403fa23f08a11950ca713e95ae10

Observation 0a2094a2-d3ce-45af-9b40-82768e58ef76 · outbound

This paper cites New techniques for assess- ing audio and video quality in real-time interactive communication.

Detecting Flow Gaps in Data Streams New techniques for assess- ing audio and video quality in real-time interactive communication

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:10.272895Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:44:59.954750Z digest=sha256:6b7ba3486bbc6ab155f2911515ad0bad3d67dad165ccda48b36fa37c91517c84

Observation 8db67c8d-168b-40cf-9620-4b7de288decd · outbound

This paper cites Evaluating audio and video quality in low-cost multimedia conferencing systems.

Detecting Flow Gaps in Data Streams Evaluating audio and video quality in low-cost multimedia conferencing systems

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:09.946496Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.054090Z digest=sha256:6f98bd2fa138f00a4e696a9c53cfe27ae7c496fb8516cab0b090ae4917727092

Observation 359c9a9f-991b-4046-9bf2-a051bbe9e54b · outbound

This paper cites Audio and speech quality survey of the opus codec in web real-time commu- nication.

Detecting Flow Gaps in Data Streams Audio and speech quality survey of the opus codec in web real-time commu- nication

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:09.726266Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.132927Z digest=sha256:e151f03e890d04899844c59cfce802c02b277a8c7ba696600c74ca0dc7f900c8

Observation a9dbcc95-8ca8-4a59-91cc-5224df545db4 · outbound

This paper cites an unresolved cited work.

Detecting Flow Gaps in Data Streams Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:45:09.384758Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.229042Z digest=sha256:60bc47cd3695cd7fbeb9c6d2e0f8a84ab371a74677496a0fc8812769ffb2b08e

Observation 24c5b147-68ae-4734-b435-505f051dab3b · outbound

This paper cites A study of real-time packet video quality using random neural networks.

Detecting Flow Gaps in Data Streams A study of real-time packet video quality using random neural networks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:09.084755Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.334854Z digest=sha256:76958124c0399acbf450ab3667a0eacef99d92ca28fa9cd5d2eb3bc04df02ee5

Observation e086c0be-b4ed-481d-9f7e-96aa4ac2e0b8 · outbound

This paper cites Detecting malicious packet dropping in the presence of collisions and channel errors in wireless ad hoc networks.

Detecting Flow Gaps in Data Streams Detecting malicious packet dropping in the presence of collisions and channel errors in wireless ad hoc networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:08.792791Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.453151Z digest=sha256:3b1de3801c403f332d157f76631faeb3a6be01bbd0c00a05f2977ee40e33bd35

Observation 3d69c2ef-6125-4944-bd2e-5e953c0fbc05 · outbound

This paper cites A distributed protocol for detection of packet dropping attack in mobile ad hoc networks.

Detecting Flow Gaps in Data Streams A distributed protocol for detection of packet dropping attack in mobile ad hoc networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:08.489804Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.535751Z digest=sha256:664ed7ea707a3f5583e7c39d7c28c54c358647e1508cf8ee4ba3021ba88e0a64

Observation 459c1a97-6f84-4a41-86d0-967515d60fde · outbound

This paper cites Resisting malicious packet drop- ping in wireless ad hoc networks.

Detecting Flow Gaps in Data Streams Resisting malicious packet drop- ping in wireless ad hoc networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:08.139565Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.644743Z digest=sha256:1d5c12406785c7c7a797b3c495650d94060370bdb8edbf1995c525fca34673a4

Observation edbe69db-0ab1-445b-b9a4-756e24ffc09d · outbound

This paper cites Design an anomaly based fuzzy intrusion detection system for packet dropping attack in mobile ad hoc networks.

Detecting Flow Gaps in Data Streams Design an anomaly based fuzzy intrusion detection system for packet dropping attack in mobile ad hoc networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:07.806575Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.741998Z digest=sha256:2b6a2878dd16a4857eb228044586a8a9ea448e60a57913e44b5b560b9760ce1a

Observation 59304280-44e9-4809-95cf-253e93928a69 · outbound

This paper cites A novel technique to detect malicious packet dropping attacks in wireless sensor networks.

Detecting Flow Gaps in Data Streams A novel technique to detect malicious packet dropping attacks in wireless sensor networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:07.560066Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.864744Z digest=sha256:88e809ab64c5f515f2e58558f2dd6af592803670fa263e8b32c41e85b0258188

Observation d3e874a8-5aec-4219-b3ad-f8f874550ce7 · outbound

This paper cites Privacy-preserving and truthful detection of packet dropping attacks in wireless ad hoc networks.

Detecting Flow Gaps in Data Streams Privacy-preserving and truthful detection of packet dropping attacks in wireless ad hoc networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:07.351223Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:00.985026Z digest=sha256:49b05a09430e1c466d43543bd92a5987c84a319359b238ef8748fa7357b8938a

Observation 14a941fd-07fd-437f-9e2a-12454e07e2e4 · outbound

This paper cites A provenance based mechanism to identify malicious packet dropping adversaries in sensor networks.

Detecting Flow Gaps in Data Streams A provenance based mechanism to identify malicious packet dropping adversaries in sensor networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:07.106424Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.094836Z digest=sha256:62c87826417d090802f6d62e4b66b937f64427ea4993112c0078888eef08e7ac

Observation f5914799-e36d-4151-a1a4-5956eab0026f · outbound

This paper cites An efficient cross-layer approach for malicious packet dropping detection in manets.

Detecting Flow Gaps in Data Streams An efficient cross-layer approach for malicious packet dropping detection in manets

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:06.905407Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.170859Z digest=sha256:0614677e6455be6a3f51c66fb53d241ddfd57b20ae7cfa7568bc63fb7186835b

Observation 24cff3b2-1a12-4553-a0ab-9d5e39a3aac5 · outbound

This paper cites A model of data forwarding in manets for light- weight detection of malicious packet dropping.

Detecting Flow Gaps in Data Streams A model of data forwarding in manets for light- weight detection of malicious packet dropping

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:06.584763Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.291020Z digest=sha256:2c8f23821ff76f063b742a3569662ed1d442b4bc81d8cb9f9ad0ec85db514566

Observation cea0b3f2-d77f-4f63-bb93-d9fdd38d0645 · outbound

This paper cites A stochastic approach for packet dropping attacks detection in mobile ad hoc networks.

Detecting Flow Gaps in Data Streams A stochastic approach for packet dropping attacks detection in mobile ad hoc networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:06.265363Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.374742Z digest=sha256:9ae79c5f59db84098da3b0204ee02592acee5b8c02497675d3a29ef67281ba1b

Observation 0b5f65f6-bf2a-450e-bd8a-41dce33c27af · outbound

This paper cites Cross-layer detection of sinking behavior in wireless ad hoc networks using svm and fda.

Detecting Flow Gaps in Data Streams Cross-layer detection of sinking behavior in wireless ad hoc networks using svm and fda

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:05.929434Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.455610Z digest=sha256:7b8f065766f5bcf67f4aec8ec978d4c171368eb8090364236d4cdd16d8aaec50

Observation ed04e2ee-5fed-4fc4-9257-da9609948a03 · outbound

This paper cites Detecting blackhole attack on aodv-based mobile ad hoc networks by dynamic learning method.

Detecting Flow Gaps in Data Streams Detecting blackhole attack on aodv-based mobile ad hoc networks by dynamic learning method

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:05.760726Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.557872Z digest=sha256:3d22dc36bbc7bf5bb1c6c3f2f7241040707e3fdd8190f71d48a14dd292d9e482

Observation b2ce4ae0-a92a-4d88-8d86-f3b40ed705a5 · outbound

This paper cites New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice.

Detecting Flow Gaps in Data Streams New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:05.535207Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.706743Z digest=sha256:dc745ff6c638bd1ad42d20fc6e7c28b532a102fca927244b523483b3d8f1cbf0

Observation 18e4d2a0-7121-4e09-96bd-d5a05dfb8a62 · outbound

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

Detecting Flow Gaps in Data Streams Elastic sketch: adaptive and fast network- wide measurements

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:05.336913Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.799234Z digest=sha256:f849aa75e1f06e79e7b9a02b018ab9d1fe1ba88abf62df87083fa013ae4b0243

Observation c03b35a1-8504-4c21-9f8a-de7a63805b02 · outbound

This paper cites Heavykeeper: An accurate algorithm for finding top-𝑘 elephant flows.

Detecting Flow Gaps in Data Streams Heavykeeper: An accurate algorithm for finding top-𝑘 elephant flows

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:04.970604Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.891219Z digest=sha256:919f4dcea17b37939051605ec832f7eae37f2e40331eaee701b36eb97943e372

Observation 3867aab7-60f5-454e-b9b3-9e0ec1fbe1ce · outbound

This paper cites https://catalog.caida.org/dataset/passive_ 2016_pcap, 2016.

Detecting Flow Gaps in Data Streams https://catalog.caida.org/dataset/passive_ 2016_pcap, 2016

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:04.662634Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:01.965049Z digest=sha256:dac0ebdd08c0734ebe161315c176384d4d6b010aaef311979777f3b02634442d

Observation 88fb3fb1-f36d-4b99-89d3-ba0ddce367af · outbound

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

Detecting Flow Gaps in Data Streams http://mawi.wide.ad.jp/mawi/

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:45:02.044742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:45:02.044742Z digest=sha256:f0352930ecbbd53461034f4e68ba9c82a2aa854f7f155b1ccd476a0c7a109ba0

Observation 4874c1cb-2695-4e8d-807f-f0bdb110a380 · outbound

This paper cites https://www.netresec.com/?page= MACCDC.

Detecting Flow Gaps in Data Streams https://www.netresec.com/?page= MACCDC

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:04.214828Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:02.155713Z digest=sha256:085a4223a3fe4e49b7f62c19b5406288ad90f50082f145e880a3aff94b2dac1d

Observation 0bbfc600-e786-4c13-ae7a-60796713c38d · outbound

This paper cites Network traffic charac- teristics of data centers in the wild.

Detecting Flow Gaps in Data Streams Network traffic charac- teristics of data centers in the wild

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:03.714656Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:02.225739Z digest=sha256:b289896afe561617ab3b0385ab7536c4e2470762628fc10aaafa39b9f4fad734

Observation 123ae076-48c6-414a-acf4-d95b2a1e9aa3 · outbound

This paper cites http://burtleburtle.net/bob/hash/evahash.html.

Detecting Flow Gaps in Data Streams http://burtleburtle.net/bob/hash/evahash.html

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:03.474740Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:02.402760Z digest=sha256:fcca3b7bc04a8390413e867de5f104e40fba4cefb2f557907a8439d0f1e443ce

Observation 0dc01fc1-893e-425c-b24b-86f11599cc8e · outbound

This paper cites Cuckoo filter: Practically better than bloom.

Detecting Flow Gaps in Data Streams Cuckoo filter: Practically better than bloom

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:03.131352Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:02.514744Z digest=sha256:71218d85ff78d816b5ff0cca369b5159d8bb5a66ba98983b2b0207e87d8a8921

Observation 0da87d88-dc3c-43a7-b0cd-1d25207dcc25 · outbound

This paper cites Cuckoo hashing.

Detecting Flow Gaps in Data Streams Cuckoo hashing

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:45:02.975753Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T15:45:02.610137Z digest=sha256:51c2f0a74e46b2e2d6371e3fc5ce22aade5399705d7460291b58b708cdf99faf

Pith citing papers

No inbound Pith citation observations are available.