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Paper Citation Record · LEDGER

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.03599.

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

pith.paper-citation-record.v1
2607.03599 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:17:36.542815Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved41
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3a861fa-ef20-4fb7-8134-8d83a6998901 · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 1

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Observation 1a2558d4-7801-4036-8362-801ac7654c58 · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 2

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:970d8f43ed7c34d6bb1c8567946c778338f706f534157176efa11e837a92fda0

Observation a8cd2fcd-f571-496a-a2d0-b6ae3b3fcd2c · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:9302dc88d26ca38e91533ef38c2008c3c5078b9590066625d49d5b6910ebdf11

Observation 2afe3d9b-736d-4696-9685-8ceecaf2ba48 · outbound

This paper cites Spell: Streaming parsing of system event logs.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Spell: Streaming parsing of system event logs

Reference 4

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Observation 66a30fb0-266b-4df8-a654-3accfddca056 · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:5340d2a6b1e0d92a2e9e0f7ebb63bc991a682ae19e31d912cbd804727634caa7

Observation d5952b34-e337-435f-824e-b03476014b1d · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:0bc173c65e550ac662e36cf6283dfe66e0d1859cc2fb1e398e3caa51952b4b2d

Observation 138d2866-2ee3-4bbe-8708-9d196c703651 · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learn- ing.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Deeplog: Anomaly detection and diagnosis from system logs through deep learn- ing

Reference 7

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:27477757ace25af57eb77c1e7c8aa0c7fbb35278f72ef302eb7626de816747d6

Observation 1a320cca-3e1a-4289-a055-35caccd3c62e · outbound

This paper cites Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs

Reference 8

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:0eafe63378e3e07b86b0cdeff6e1b6538f560096978e5a698cbda6d4181ca037

Observation c98c25ab-7637-4e36-a4dd-2087a4b34d72 · outbound

This paper cites Logbert: Log anomaly detection via bert.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Logbert: Log anomaly detection via bert

Reference 9

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:4dc6013effe1cd1362bba57a3b911c4712b6dc79a275cf755d7cd2a65ecc3c9e

Observation 2421fe95-2b82-40d8-abe6-859518013758 · outbound

This paper cites Robust log-based anomaly detection on unstable log data.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Robust log-based anomaly detection on unstable log data

Reference 10

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:a609072f7c8e0ac63eec913393f9a26273004da3197b7b94b3b0f36fe1f66e9d

Observation 53a5f444-df44-4a62-b68d-27688b19da25 · outbound

This paper cites Semi-supervised log-based anomaly detection via probabilistic label estimation.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Semi-supervised log-based anomaly detection via probabilistic label estimation

Reference 11

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:e9026d0e92922336922038ecf88dfc41c4411a59cb055dac3b72e0f75fd21b42

Observation ddb26fbb-616e-405a-a313-bbf2657e5da2 · outbound

This paper cites Log-based anomaly detection without log parsing.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Log-based anomaly detection without log parsing

Reference 12

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:aad910f95c17003b3d9bcc1dadad83b5081a7434a179f627473e7621811177d7

Observation a26e50a5-cece-43f7-82c9-a6f0dd094a76 · outbound

This paper cites Vera Liao, Daniel Gruen, and Sarah Miller.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Vera Liao, Daniel Gruen, and Sarah Miller

Reference 13

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:8578d87a9752d4db40fb162f24f44a46efc9367f1e8e55d640360df251fe90de

Observation fd3d94e9-4449-4935-9aa3-07626f9d64e2 · outbound

This paper cites Vera Liao, and Rachel K.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Vera Liao, and Rachel K

Reference 14

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:88ab42bfc5a89b84acb6fa142ae31cb3b4fb6414757a676fb43b00700ae79f40

Observation 322167ef-c56b-43c9-afdb-fe5cb68704fa · outbound

This paper cites Deepseer: Interactive rnn explanation and debugging via state abstrac- tion.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Deepseer: Interactive rnn explanation and debugging via state abstrac- tion

Reference 15

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Observation 6d5861f3-4a49-4e8f-b536-d8ef8201ed62 · outbound

This paper cites why should i trust you?.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection why should i trust you?

Reference 16

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:09d3e77e791a9566da29db26e1149d37135eaa7978389725fa8389c55f89945e

Observation e1d5df3d-c423-4ae7-896b-637f26bc1109 · outbound

This paper cites Lundberg and Su-In Lee.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Lundberg and Su-In Lee

Reference 17

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Observation deba8309-2f3e-4952-b829-d487f249711c · outbound

This paper cites Fung, Hailong Yang, Dongxiao Qian, Jiahua Shang, Zhongzhi Xiao, and Zhenzhou Wu.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Fung, Hailong Yang, Dongxiao Qian, Jiahua Shang, Zhongzhi Xiao, and Zhenzhou Wu

Reference 18

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:14d888b2d4f2d54f7156d634d72e4e3e1324c811ce412742ee6f2f7897181d86

Observation be902efb-02f6-48c3-b76d-ccca14e11a2e · outbound

This paper cites Logprompt: A log-based anomaly detection framework using prompts.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Logprompt: A log-based anomaly detection framework using prompts

Reference 19

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:b3d0dc610909c865c5c8ba4fbf7f272af88495419c30fc566b1e16f0c5c55b6c

Observation 8e0686ab-7b0b-45a3-a3a0-43d1486b4ec6 · outbound

This paper cites Interpretable online log analysis using large language models with prompt strategies.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Interpretable online log analysis using large language models with prompt strategies

Reference 20

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:76905a12535e91746610ad97b409db9c68bf324436c152175a9cfb88f42bcd8e

Observation c409e306-d5fe-41f1-87f0-b9558a7a44c3 · outbound

This paper cites LogLLM: Log-based Anomaly Detection Using Large Language Models.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection LogLLM: Log-based Anomaly Detection Using Large Language Models

Reference 21

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Observation e6470a4c-b47c-44d1-8bee-c65ce97c880d · outbound

This paper cites Are self-explanations from Large Language Models faithful?.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Are self-explanations from Large Language Models faithful?

Reference 22

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Observation dc5689b8-ad12-4cc8-a83f-04d25b452b15 · outbound

This paper cites GPT-4o mini: advancing cost-efficient intelligence.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection GPT-4o mini: advancing cost-efficient intelligence

Reference 23

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Observation 7f499675-cff9-4631-ab7c-01fcc9289803 · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 24

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:97d27a33577faecda69461734e5c7f31a7adcbed642c440418f964cd4c52b523

Observation a68106a8-462d-422d-ae77-743ae86183fc · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 25

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:c13fc60adfe058eb1c795c78263c70ef4bfe7ba94fda440aa2590a4cd41d163e

Observation 6f8645c9-dadb-4fb9-9f60-850aa60efd13 · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:b811626373bacdf0e92ace839c582f134d3568577a02c24d3f578d0347c57a0c

Observation 6246b0b0-f7f6-429a-8330-98be7568f943 · outbound

This paper cites Mining invariants from console logs for system problem detection.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Mining invariants from console logs for system problem detection

Reference 27

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:df49d377fbb4ccd4edea0ea7ca746d4c74a78fe7c4f6b9348c2c877edc91b23c

Observation 653cba22-e399-4387-94df-bfb8b4f851ab · outbound

This paper cites Log clustering based problem identification for online service systems.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Log clustering based problem identification for online service systems

Reference 28

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:701db8fb4c7dd44ccb2f8c06ece7150568b496f839e6f833c1560944bedad7a1

Observation 3da16fbe-67f0-461e-9835-3c27a3684f22 · outbound

This paper cites Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan

Reference 29

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:582017fb95e050efcfc12c43dec94a71a0227382de862f8e2ff135099a223897

Observation dbaaa782-d9c3-4461-857d-589cbcc100fa · outbound

This paper cites Loggd: Detecting anomalies from system logs with graph neural networks.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Loggd: Detecting anomalies from system logs with graph neural networks

Reference 30

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:96432c8b765c85f258482db67eccc750dc83909e43e95241db147a3423bb4560

Observation 0cccfb0e-0383-49e9-8637-e5d69f4cc273 · outbound

This paper cites Logformer: A pre-train and tuning pipeline for log anomaly detection.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Logformer: A pre-train and tuning pipeline for log anomaly detection

Reference 31

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:ec780b53d60c39cf97b51294c2ddc7171e8139d59720b0b76d299cbe9bd596d6

Observation 527bb4f2-e740-4333-ba39-2281fb21062f · outbound

This paper cites Logrules: Enhancing log anal- ysis capability of large language models through rules.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Logrules: Enhancing log anal- ysis capability of large language models through rules

Reference 32

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Observation 65a6b12d-f8a5-47d6-9507-7164a8f7c3eb · outbound

This paper cites LLM4Log: A Systematic Review of Large Language Model-based Log Analysis.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection LLM4Log: A Systematic Review of Large Language Model-based Log Analysis

Reference 33

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Observation fd6ae0a8-0a62-467b-8b03-a6e02dac3cb5 · outbound

This paper cites A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques

Reference 34

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Observation 1b52fc2e-c554-4b97-bc27-949d19f7c19e · outbound

This paper cites Pinpointing anomaly events in logs from stability testing—n-grams vs.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Pinpointing anomaly events in logs from stability testing—n-grams vs

Reference 35

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:2816d05ee719260cb876dceef587347348b8aaeb23ca02b6d2dcdd9f50c733f0

Observation bd1418c3-18ae-49b5-9977-5cd3e61c6366 · outbound

This paper cites Term-weighting approaches in automatic text retrieval.Information Processing & Management, 24(5):513–523, 1988.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Term-weighting approaches in automatic text retrieval.Information Processing & Management, 24(5):513–523, 1988

Reference 36

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Observation 22eb731c-eb59-4d9b-b62d-2e076647945d · outbound

This paper cites Accelerated hierarchical density based clustering.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Accelerated hierarchical density based clustering

Reference 37

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Observation f68ce745-7255-41cf-b83f-986307ee3256 · outbound

This paper cites ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection

Reference 38

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Observation 58c6e04f-a07c-4bc2-bcdb-8471c716ac0d · outbound

This paper cites an unresolved cited work.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Unresolved cited work

Reference 39

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no resolver link, observed 2026-07-12T01:17:36.542815Z

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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:ae7f802e98d6769eb69b87d182121ebaedd68a430aab08334695ff9e5560a03f

Observation 1f3e3cd7-dbec-4ad1-b6c9-4ba682d9b5d4 · outbound

This paper cites hdbscan: Hierarchical density based clustering.Journal of Open Source Software, 2(11):205, 2017.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection hdbscan: Hierarchical density based clustering.Journal of Open Source Software, 2(11):205, 2017

Reference 40

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unresolved
no resolver link, observed 2026-07-12T01:17:36.542815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:e0173fec1a37cf9636d602c58a2b25d8636022af9634383816d0a9cb9108c3d3

Observation 0b18592c-8b46-441e-8e4f-f76705734237 · outbound

This paper cites A technique for the measurement of attitudes.Archives of Psychology, 22(140):1–55, 1932.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection A technique for the measurement of attitudes.Archives of Psychology, 22(140):1–55, 1932

Reference 41

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unresolved
no resolver link, observed 2026-07-12T01:17:36.542815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:91887267951a3fa21e0fa44d439e8f1bc08fe92fc8876a1c3011ca4872f18955

Observation d0c66d3f-e47d-43c4-9ec0-642940300f37 · outbound

This paper cites Individual comparisons by ranking methods.Biomet- rics Bulletin, 1(6):80–83, 1945.

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection Individual comparisons by ranking methods.Biomet- rics Bulletin, 1(6):80–83, 1945

Reference 42

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unresolved
no resolver link, observed 2026-07-12T01:17:36.542815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:373fd4d0c486d601e339e44217e386dee3da8a0492503dc3f0f2c3e8c03a4d39

Pith citing papers

No inbound Pith citation observations are available.