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Paper Citation Record · LEDGER

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast

As of 21 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.19102.

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

pith.paper-citation-record.v1
2607.19102 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:31:54.335659Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

64 of 64 outbound references displayed

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  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89581423-33fb-45e2-8937-3c11c69a3814 · outbound

This paper cites The workflow motif: a widely-useful performance diagnosis abstraction for distributed applications.arXiv preprint arXiv:2506.00749, 2025.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast The workflow motif: a widely-useful performance diagnosis abstraction for distributed applications.arXiv preprint arXiv:2506.00749, 2025

Reference 1

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source=pdf_text observed=2026-08-01T13:31:48.387611Z digest=sha256:f3675a17119dcf921def4bf9b31178bf3dffcfc32852d75dc6a3688c8504c630

Observation 70e15216-0679-4008-b69f-9f3c217ee1e6 · outbound

This paper cites Blueprint: A toolchain for highly-reconfigurable microservice applications.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Blueprint: A toolchain for highly-reconfigurable microservice applications

Reference 2

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source=pdf_text observed=2026-08-01T13:31:48.438400Z digest=sha256:181b7d2ce11321be6c4a74e83fd1f65082cdc0a5960e31d2a07aa3cb0b617291

Observation 14015904-a3dc-4633-938c-bd524c80a554 · outbound

This paper cites X-Trace trace dataset for DeathStar- Bench.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast X-Trace trace dataset for DeathStar- Bench

Reference 3

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source=pdf_text observed=2026-08-01T13:31:48.510098Z digest=sha256:adc988128ceb3dd0adbb88d08eaaab921bfa3c9ce2698524d5bdb0cb4836ec7d

Observation 95823ce1-93d9-422a-b99b-4870d059fa92 · outbound

This paper cites Jaeger issue #6814: Feature: Augmenting trace timeline visualization with aggregate system statistics for faster root cause analysis.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Jaeger issue #6814: Feature: Augmenting trace timeline visualization with aggregate system statistics for faster root cause analysis

Reference 4

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source=pdf_text observed=2026-08-01T13:31:48.582758Z digest=sha256:96423ffeff625449c22a1182bdbb13bdf33247d72f793828d7289032baa80ef8

Observation ef832289-ed01-4e7a-94d8-26817c5e0993 · outbound

This paper cites Aggregate-Driven Trace Visualizations for Performance Debugging.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Aggregate-Driven Trace Visualizations for Performance Debugging

Reference 5

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source=pdf_text observed=2026-08-01T13:31:48.648545Z digest=sha256:889442e558b21316843b9e6f18a991fdbef0fb65caa6f28593775b3743ed8d5c

Observation 0b178f97-44b6-435f-a155-456863397b18 · outbound

This paper cites Using magpie for request extraction and workload modelling.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Using magpie for request extraction and workload modelling

Reference 6

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source=pdf_text observed=2026-08-01T13:31:48.747067Z digest=sha256:f3607cc81ab3eeabc94c7e2f90e70ab4ca837974955f529fcf171154c19a4bac

Observation f83da5ce-2f59-4da1-879f-6b489de82c72 · outbound

This paper cites Visualizing distributed system executions.ACM Transactions on Software Engineering and Methodology (TOSEM), 29(2):1–38, 2020.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Visualizing distributed system executions.ACM Transactions on Software Engineering and Methodology (TOSEM), 29(2):1–38, 2020

Reference 7

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source=pdf_text observed=2026-08-01T13:31:48.833402Z digest=sha256:40761578a9ccaeb8bbfea544ed7fa6558d8b60188b6ccc0d1538a320473a8cab

Observation e48e51c0-333d-441d-919e-9f4d40e30f83 · outbound

This paper cites University of California, Berkeley, 2004.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast University of California, Berkeley, 2004

Reference 8

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source=pdf_text observed=2026-08-01T13:31:48.901008Z digest=sha256:30300a32ded3e8bd3d0d3925de197e59ebc79dd85dab13ad3dfdcc34f8ee5393

Observation 49c7789c-bfd7-46d2-9253-6cd27db2ca01 · outbound

This paper cites Grammar-based anomaly detection of microservice systems execution traces.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Grammar-based anomaly detection of microservice systems execution traces

Reference 9

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source=pdf_text observed=2026-08-01T13:31:48.965558Z digest=sha256:e7851a928d0a77e1f94e287bfe1e3eec0418e051f8c5fe23e37caf1d95d89795

Observation b1ce6db0-231a-46af-ae98-5383d49129d4 · outbound

This paper cites an unresolved cited work.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-01T13:31:49.032615Z digest=sha256:b0f2c470af4c59b805743cd70eb31959cb69b73073fa44d9fc6222f394ed56fc

Observation eae3ae8d-fe6c-41f0-84c3-1fda0bfb937e · outbound

This paper cites Flexible performance visualization of parallel and distributed applications.Future Generation Computer Systems, 19(5):735–747, 2003.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Flexible performance visualization of parallel and distributed applications.Future Generation Computer Systems, 19(5):735–747, 2003

Reference 11

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source=pdf_text observed=2026-08-01T13:31:49.093809Z digest=sha256:11a9eeba98553d01a8581e98c074b3b1abe5ceee572730382db15cf5f95ed1ca

Observation 51dcebd6-ae1d-4f39-95fd-f134468fcbe3 · outbound

This paper cites Pajé, an interactive visualization tool for tuning multi-threaded parallel applications.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Pajé, an interactive visualization tool for tuning multi-threaded parallel applications

Reference 12

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source=pdf_text observed=2026-08-01T13:31:49.159597Z digest=sha256:60f34918b205daacaeb9cd87dcc7a3e7ac210df925708da2299d18815061a1b3

Observation ae4fc389-1e46-457e-9fec-43185a2c7eb2 · outbound

This paper cites Execution patterns for visualizing web services.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Execution patterns for visualizing web services

Reference 13

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source=pdf_text observed=2026-08-01T13:31:49.265277Z digest=sha256:c1353694cfe6c943edbc965f22230ff91455e7edc39601a9c59b14a43bfac19a

Observation 60df633a-e4e3-4661-b402-7f8e54271d22 · outbound

This paper cites Service flow.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Service flow

Reference 14

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source=pdf_text observed=2026-08-01T13:31:49.414579Z digest=sha256:17e679e9ae4a317bfeecf72691ebce79ab79781d028500af9e950150ab7235f9

Observation aca5b559-501a-4a08-8396-dfee69b82a69 · outbound

This paper cites Dtvs: A distributed trace visualization system.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Dtvs: A distributed trace visualization system

Reference 15

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source=pdf_text observed=2026-08-01T13:31:49.533011Z digest=sha256:a561cdbf92c13a11a590bdb4f4c6e1356782ac3939aca86812a3798739c842c9

Observation 715cd532-34ba-4974-9fb6-c4de25a6eddd · outbound

This paper cites Dtracomp: Comparing distributed execution traces for understanding intermittent latency sources.Journal of Systems and Software, page 112990, 2026.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Dtracomp: Comparing distributed execution traces for understanding intermittent latency sources.Journal of Systems and Software, page 112990, 2026

Reference 16

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source=pdf_text observed=2026-08-01T13:31:49.642999Z digest=sha256:71adf4d237c8544decec5f37a5f2460bfaa274c0d58c1f2bb950b224e025306d

Observation 26728078-d7ed-49bc-8d1c-c10e99076849 · outbound

This paper cites Trace comparisons arrive in jaeger 1.7.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Trace comparisons arrive in jaeger 1.7

Reference 17

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source=pdf_text observed=2026-08-01T13:31:49.728994Z digest=sha256:ada883f2b43ddc32d0c13b049b267d38c4a55334bf3b7a0585cef7c1bf9e37a9

Observation 2b34df19-113d-4894-bfcd-b318d056befc · outbound

This paper cites A Picture is Worth a 1,000 Traces.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast A Picture is Worth a 1,000 Traces

Reference 18

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source=pdf_text observed=2026-08-01T13:31:49.785305Z digest=sha256:fe656dfb9ac2cbca19f1c8abe3155df13040e71b71460888f30681402d06b33d

Observation 614de103-0a18-4d7c-97c7-63a4a2a14358 · outbound

This paper cites X-Trace: A Pervasive Network Tracing Framework.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast X-Trace: A Pervasive Network Tracing Framework

Reference 19

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source=pdf_text observed=2026-08-01T13:31:49.889817Z digest=sha256:a76021e1173df2efa10895bba61655b684835cf72040a7e1dcec09f85125a65f

Observation 058ee81e-e892-48e1-b83b-079b7f155a5d · outbound

This paper cites An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

Reference 20

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source=pdf_text observed=2026-08-01T13:31:49.973675Z digest=sha256:c5a56b05c1bff2a84f2ffec90e12c5fa22cc4389c44aff3db238b241f606fe2e

Observation 303c5584-ea08-4783-b150-22719da41c33 · outbound

This paper cites Theia: Visual signatures for problem diagnosis in large hadoop clusters.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Theia: Visual signatures for problem diagnosis in large hadoop clusters

Reference 21

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source=pdf_text observed=2026-08-01T13:31:50.067444Z digest=sha256:7b189b7bd70fed65118e73adc86e1e6cb59a553b878e06a603ff8e96bcf920c4

Observation 8a13507d-8f95-4457-b3a2-ce0f624e4921 · outbound

This paper cites Listening to the firehose: Sonifying z3’s behavior.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Listening to the firehose: Sonifying z3’s behavior

Reference 22

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source=pdf_text observed=2026-08-01T13:31:50.180496Z digest=sha256:e8d1de9fe72f0cfe723e601abf2a84701827119c3b7d1b0efba121426beb07ba

Observation 2c37afb8-f282-402c-91f1-b932e7b22272 · outbound

This paper cites Analyzing distributed trace data.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Analyzing distributed trace data

Reference 23

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source=pdf_text observed=2026-08-01T13:31:50.299904Z digest=sha256:3499e7e0a54e08276e2c78741e38cf3ad2ef52931612b652b539dbc9972ad996

Observation 63d8778a-cfd9-442e-8137-0fcaaa9fa07b · outbound

This paper cites Systemizing and mitigating topolog- ical inconsistencies in alibaba’s microservice call-graph datasets.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Systemizing and mitigating topolog- ical inconsistencies in alibaba’s microservice call-graph datasets

Reference 24

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source=pdf_text observed=2026-08-01T13:31:50.413470Z digest=sha256:e54a9b087c87570e27e4816b3bdf2fa4e71a5cd7cba7f51dd8c69ee195ef2a68

Observation 51699e9a-42d0-4a55-bcb5-d559cfc0117d · outbound

This paper cites Lifting the veil on{Meta’s} microservice architecture: Analyses of topology and request workflows.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Lifting the veil on{Meta’s} microservice architecture: Analyses of topology and request workflows

Reference 25

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source=pdf_text observed=2026-08-01T13:31:50.553744Z digest=sha256:a066a16b022d24754a3ae1b81728c19ab8452997981ff79cef6c51ce4b82ff8c

Observation 55e4901d-f1a4-4ce1-b6f0-023bc4d366ad · outbound

This paper cites Retrieved July 2026 from https://www.jaegertracing.io/.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Retrieved July 2026 from https://www.jaegertracing.io/

Reference 26

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source=pdf_text observed=2026-08-01T13:31:50.697257Z digest=sha256:2b15987bcd63a3941e274425fd48e11b18ec0f5ce0859e02651cc0cb918e6adb

Observation 2225bc9d-115a-4628-802f-4b80bdb79437 · outbound

This paper cites Canopy: An End-to- End Performance Tracing And Analysis System.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Canopy: An End-to- End Performance Tracing And Analysis System

Reference 27

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source=pdf_text observed=2026-08-01T13:31:50.842194Z digest=sha256:ad649def0af49570df0d91b9f5da9f149632e011b8f82e83501d30c9ce65a40a

Observation b8ec8e08-e828-44d6-a68b-ba7588cc08bd · outbound

This paper cites Black, David J.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Black, David J

Reference 28

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source=pdf_text observed=2026-08-01T13:31:50.964317Z digest=sha256:dda94951d0a59ec1458c8878619067fe035f6043cda6cd75d5f671a7dedc76d8

Observation 85661d90-4f67-4b9a-9b63-99adabf8626e · outbound

This paper cites Time, clocks, and the ordering of events in a distributed system.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Time, clocks, and the ordering of events in a distributed system

Reference 29

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source=pdf_text observed=2026-08-01T13:31:51.066935Z digest=sha256:ba5499a2c0cdcfa823f3252fabea0340f5ba02a6f3c234e69eb30baaae15e01e

Observation 8386448e-6ee5-4e21-9dd9-eb40c09485cf · outbound

This paper cites Llexus: an ai agent system for incident management.ACM SIGOPS Operating Systems Review, 58(1):23–36, 2024.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Llexus: an ai agent system for incident management.ACM SIGOPS Operating Systems Review, 58(1):23–36, 2024

Reference 30

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source=pdf_text observed=2026-08-01T13:31:51.201588Z digest=sha256:b795262b7d815536651b4617989ae91fffb60ffb848bea8c75ef4924f098144d

Observation 178f0c55-6b4e-4402-93a5-9661656ade29 · outbound

This paper cites Weighted sampling of execution traces: Capturing more needles and less hay.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Weighted sampling of execution traces: Capturing more needles and less hay

Reference 31

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source=pdf_text observed=2026-08-01T13:31:51.311421Z digest=sha256:04d48d6c6d04a51a2bef48d370c0b90709d7eac41a9f2a32d2290a723b0b14d6

Observation 7f92bbcf-c467-4189-8300-3fa8ba42616f · outbound

This paper cites Sifter: Scalable sampling for distributed traces, without feature engineering.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Sifter: Scalable sampling for distributed traces, without feature engineering

Reference 32

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source=pdf_text observed=2026-08-01T13:31:51.475882Z digest=sha256:4b2c81eae8a3079e7fefab8a85429952c696174dfc4e66a7144d53b4d12f9856

Observation 0abc598e-4699-4c90-a1c4-ddb97ca66ed6 · outbound

This paper cites The tale of errors in microservices.Proceedings of the ACM on Measurement and Analysis of Computing Systems, 8(3):1–36, 2024.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast The tale of errors in microservices.Proceedings of the ACM on Measurement and Analysis of Computing Systems, 8(3):1–36, 2024

Reference 33

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source=pdf_text observed=2026-08-01T13:31:51.576278Z digest=sha256:45a4f387123a1d5914a7965721bc928a44ca44f0b3ae414027825384e3920e30

Observation 534aab98-de01-41cc-a7de-2554ae38a734 · outbound

This paper cites Enhancing trace visualizations for microser- vices performance analysis.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Enhancing trace visualizations for microser- vices performance analysis

Reference 34

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source=pdf_text observed=2026-08-01T13:31:51.686584Z digest=sha256:71e278173e7637a22c04c071ac105d8b60dedb65dece507803ad128a8283edb7

Observation e0f3c282-b33c-4762-84b0-0f221da35c7f · outbound

This paper cites Metarca: A generalizable root cause analysis framework for cloud-native systems powered by meta causal knowledge.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Metarca: A generalizable root cause analysis framework for cloud-native systems powered by meta causal knowledge

Reference 35

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source=pdf_text observed=2026-08-01T13:31:51.797018Z digest=sha256:6be442e403837f94979e85d9aa3e4d4b680e153ed2cb24769779586225a6bd1c

Observation 130e6e7c-425d-4107-9a27-ec29f1ec8dbc · outbound

This paper cites Service now cloud observability: View traces-seeing the critical path.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Service now cloud observability: View traces-seeing the critical path

Reference 36

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source=pdf_text observed=2026-08-01T13:31:51.902360Z digest=sha256:1a7b0933e358d13f8b7dc8d91ff0b56c78bc646e64e5b29690f149aaaf4e478f

Observation d2c39847-eca6-435f-9283-5494fa38fb94 · outbound

This paper cites Characterizing microservice dependency and performance: Alibaba trace analysis.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Characterizing microservice dependency and performance: Alibaba trace analysis

Reference 37

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source=pdf_text observed=2026-08-01T13:31:52.005309Z digest=sha256:4e962ddf25319b22982751d67541b7d1f27a349dec92c4657d92696ab363a37e

Observation 1e756eb7-c8a8-4678-a1b0-0921a0308d6d · outbound

This paper cites Verifyrca: Llm-guided but evidence-verified root cause analysis for microservice backends.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Verifyrca: Llm-guided but evidence-verified root cause analysis for microservice backends

Reference 38

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source=pdf_text observed=2026-08-01T13:31:52.092639Z digest=sha256:52b96dbb258e7eb1fd4744d57a44a24d8c8d572fd5471b574e95fd2a14a6c316

Observation eb874691-bc63-4b0a-8946-01e52304aad5 · outbound

This paper cites End-to-end tracing: Adoption and use cases.Survey.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast End-to-end tracing: Adoption and use cases.Survey

Reference 39

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source=pdf_text observed=2026-08-01T13:31:52.184230Z digest=sha256:2205ca8500cd6da9567ba89ea96cee40e55c26a9012bf570dd82a5f435af60ac

Observation 1b3ec19f-9c62-4864-9077-51988bf20081 · outbound

This paper cites Revisiting end-to-end trace comparison with graph kernels.M.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Revisiting end-to-end trace comparison with graph kernels.M

Reference 40

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source=pdf_text observed=2026-08-01T13:31:52.256450Z digest=sha256:930b886890d8002cd29abb7f468eafad620a44ced6278a3ba808f0eb42e07c62

Observation 770e1479-039b-4784-aad5-62562f1a4fbb · outbound

This paper cites DDSketch: A fast and fully-mergeable quantile sketch with relative-error guarantees.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast DDSketch: A fast and fully-mergeable quantile sketch with relative-error guarantees

Reference 41

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source=pdf_text observed=2026-08-01T13:31:52.336647Z digest=sha256:5dd6c744bb2fb5b7a9ac64bd2b242edd27355f12c6a1b583ffe587765c1cefa8

Observation ce51e01e-508e-4b34-a9df-754bc40e7c08 · outbound

This paper cites CRC Press, 2014.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast CRC Press, 2014

Reference 42

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source=pdf_text observed=2026-08-01T13:31:52.415790Z digest=sha256:7b01623606d0188396e08e867857f1007f74be83d9a65358a18941c0d205bb6c

Observation 1f7c3db6-78f3-4762-b554-68c92e9872ff · outbound

This paper cites Opentelemetry: The open standard for telemetry.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Opentelemetry: The open standard for telemetry

Reference 43

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source=pdf_text observed=2026-08-01T13:31:52.494122Z digest=sha256:aa51817a3b48b72f21898e487f61ab089fc47cdb01e86f5dd82ff183f4a0e946

Observation 80d09064-22ac-4875-b75b-c01e58e01618 · outbound

This paper cites Distributed trace comparisons for code review: A system design and practical evaluation, 2020.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Distributed trace comparisons for code review: A system design and practical evaluation, 2020

Reference 44

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source=pdf_text observed=2026-08-01T13:31:52.578287Z digest=sha256:248ba94df97b0d6e4cd14336bf44207dd8bff0b3dc5b7645a44ff68345e62991

Observation 62e66b18-6010-43b1-bc12-37712e0cd1fe · outbound

This paper cites Exploring llm-based agents for root cause analysis.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Exploring llm-based agents for root cause analysis

Reference 45

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source=pdf_text observed=2026-08-01T13:31:52.660510Z digest=sha256:298d569eb0ce3c336903357af507d1f6e55d4ae170f5a898b4272cdcc6637183

Observation 94742169-16b3-4273-b76b-1dba67fe5dce · outbound

This paper cites Visualizing Distributed Traces in Aggregate.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Visualizing Distributed Traces in Aggregate

Reference 46

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source=pdf_text observed=2026-08-01T13:31:52.743570Z digest=sha256:b14c05a45a27f8ae8f1bf94bd2ce1bd570c655de926ad160bcf73b3cd8731dd5

Observation 22ea6c98-b912-41b5-bec7-dfbb3ba4856f · outbound

This paper cites Visualizing request-flow comparison to aid performance diagnosis in distributed systems.IEEE transactions on visualization and computer graphics, 19(12):2466– 2475, 2013.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Visualizing request-flow comparison to aid performance diagnosis in distributed systems.IEEE transactions on visualization and computer graphics, 19(12):2466– 2475, 2013

Reference 47

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source=pdf_text observed=2026-08-01T13:31:52.812647Z digest=sha256:d9114f1ad7a32b9aacfbd3acc2d148186267b0f2b5d60433b87a625ce1fadd4c

Observation 3094d1a5-0e1f-4452-8fdb-e20ec2f3f09f · outbound

This paper cites Diagnosing performance changes by comparing request flows.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Diagnosing performance changes by comparing request flows

Reference 48

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source=pdf_text observed=2026-08-01T13:31:52.903020Z digest=sha256:6a5d2d6a5cb853fbf4527ce39cee106247798a546595e54408818703a79e1cdb

Observation 4847f607-97e3-4cdd-9d33-3343c4020740 · outbound

This paper cites Cate- gorizing and differencing system behaviours.Hot Topics in Autonomic Computing, page 2, 2007.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Cate- gorizing and differencing system behaviours.Hot Topics in Autonomic Computing, page 2, 2007

Reference 49

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source=pdf_text observed=2026-08-01T13:31:52.967975Z digest=sha256:8fecb9141da9202554832cbe4df27ffd73e90b2e949984ec3edf322b2d7b1b3c

Observation 333eddfc-7eae-46f4-b6ef-271768675653 · outbound

This paper cites Dapper, a large-scale distributed systems tracing infrastructure.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Dapper, a large-scale distributed systems tracing infrastructure

Reference 50

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source=pdf_text observed=2026-08-01T13:31:53.010939Z digest=sha256:04c5b0a6683d6178b8be0e104f747badbbb7e2c24c915c0b8b0446dd63e85fbb

Observation 452aab3a-3fc0-476a-94cf-041e0e6ba400 · outbound

This paper cites 𝜇 viz: Visualization of microservices.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast 𝜇 viz: Visualization of microservices

Reference 51

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source=pdf_text observed=2026-08-01T13:31:53.093224Z digest=sha256:65722fe76279bfcef78459d3ba3827164909ad5265c22cdfffe90414796735d6

Observation d96e2c10-d72e-48de-b0c3-a2e2b447be79 · outbound

This paper cites O’Reilly Media, 2018.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast O’Reilly Media, 2018

Reference 52

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source=pdf_text observed=2026-08-01T13:31:53.241713Z digest=sha256:3bee23adfd7683a060fd0607501e8eff50eaa3baf931d34f12ca395a7830e362

Observation a297cec4-2adb-41ab-bacc-4499d4b35d06 · outbound

This paper cites Distributed tracing — we’ve been doing it wrong.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Distributed tracing — we’ve been doing it wrong

Reference 53

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source=pdf_text observed=2026-08-01T13:31:53.380751Z digest=sha256:70d598e2c30a00dc802eae6c9f2df214e260cc4bd1053bfc24dc5ffe2f8f25eb

Observation 8530c93d-c437-4a8f-96c0-058e56be54fc · outbound

This paper cites GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast GALA: Can Graph-Augmented Large Language Model Agentic Workflows Elevate Root Cause Analysis?

Reference 54

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source=pdf_text observed=2026-08-01T13:31:53.549209Z digest=sha256:eea3be0e52cca248acec412bd2867f75c60a5d059bb3218082d5ce83a4d9aef1

Observation af1dff2a-79fa-429e-a4cd-7692a7d5b6be · outbound

This paper cites Vamp: Visual analytics for microservices performance.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Vamp: Visual analytics for microservices performance

Reference 55

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source=pdf_text observed=2026-08-01T13:31:53.610480Z digest=sha256:103fb1d4f4b497f853bd49f0f0982186692721fa94d9cd3992f9a9e98f580cb0

Observation cd2e1cdd-618c-4d92-bb51-afd13f9f42ea · outbound

This paper cites Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight

Reference 56

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source=pdf_text observed=2026-08-01T13:31:53.644742Z digest=sha256:993e2c7e4a3cbcb5f94d0bb4c6c33d640e5c8efc1b5ba715f7b1f5554fad434a

Observation 5ed3da08-5f61-4ff6-808f-b2a14c258e21 · outbound

This paper cites Lm-pace: Confidence estimation by large language models for effective root causing of cloud incidents.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Lm-pace: Confidence estimation by large language models for effective root causing of cloud incidents

Reference 57

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source=pdf_text observed=2026-08-01T13:31:53.715302Z digest=sha256:ba3500b8678200237892e0e46ff937781e3711ce50044b03ab2f081076fb8aa8

Observation 1aba341a-311d-49e0-b1e2-323c388c6f98 · outbound

This paper cites The benefit of hindsight: Tracing{Edge-Cases} in distributed systems.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast The benefit of hindsight: Tracing{Edge-Cases} in distributed systems

Reference 58

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source=pdf_text observed=2026-08-01T13:31:53.774489Z digest=sha256:38766cbd51ee3f00ab850047f3510d87272a818a0858afc35cda1284ff5a5301

Observation 06abb40c-d8de-4c9f-a95a-9d3eba381097 · outbound

This paper cites Towards in-depth root cause localization for microservices with multi-agent recursion-of-thought.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Towards in-depth root cause localization for microservices with multi-agent recursion-of-thought

Reference 59

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source=pdf_text observed=2026-08-01T13:31:53.858205Z digest=sha256:1aef666d026e4fe513d3ca8eb4ea5a82d39970de0675541f684655223f1cfc75

Observation 501617dd-670c-4cf6-9b9b-2d2c98aa09bd · outbound

This paper cites Agentic memory enhanced recursive reasoning for root cause localization in microservices.arXiv preprint arXiv:2601.02732, 2026.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Agentic memory enhanced recursive reasoning for root cause localization in microservices.arXiv preprint arXiv:2601.02732, 2026

Reference 60

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source=pdf_text observed=2026-08-01T13:31:53.930877Z digest=sha256:d7cbd2cb748ec75792c7a8729f298f309ca7219349e04ef5f431563e3e677b1c

Observation f46268e8-4ec0-476c-b2a0-99ce8f504d37 · outbound

This paper cites Hypothesize-then-verify: Speculative root cause analysis for microservices with pathwise parallelism.arXiv preprint arXiv:2601.02736, 2026.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Hypothesize-then-verify: Speculative root cause analysis for microservices with pathwise parallelism.arXiv preprint arXiv:2601.02736, 2026

Reference 61

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source=pdf_text observed=2026-08-01T13:31:54.011196Z digest=sha256:50b60a918605dfe6dc9559c08516b88124d8bf9f51b8f96218d225e3bc7f1930

Observation d03bbd44-4f9e-40f1-ae94-fd96f4b0e536 · outbound

This paper cites Crisp: Critical path analysis of{Large- Scale} microservice architectures.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Crisp: Critical path analysis of{Large- Scale} microservice architectures

Reference 62

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source=pdf_text observed=2026-08-01T13:31:54.116503Z digest=sha256:c0bdc35ccbdb57b401b2ea0ed0290dcefb2574974ecda8312a51410532ba847b

Observation 842e1ec6-3b5c-4a2a-80b6-f2a564f2eb95 · outbound

This paper cites Crisp: Critical path analysis of large- scale microservice architectures (artifact), 2022.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast Crisp: Critical path analysis of large- scale microservice architectures (artifact), 2022

Reference 63

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source=pdf_text observed=2026-08-01T13:31:54.223780Z digest=sha256:fa3735591ac38a6d8e49fb0921c91784856c22c728e4fcf51781f38917fe7d31

Observation bca0bc06-a33b-4424-900c-2952c44c51bd · outbound

This paper cites No client available.

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast No client available

Reference 64

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source=pdf_text observed=2026-08-01T13:31:54.335659Z digest=sha256:30dfd066bddd996a48e63f6027c5ef825ca2727497133d594a2c9fa0a127bfbd

Pith citing papers

No inbound Pith citation observations are available.