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Paper Citation Record · LEDGER

LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection

As of 18 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 2026-08-18T06:34:40.430872+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

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:63c9bc19044a98b12c40828c9b98cfbfc128eee9e21a2096d800594a61ce03c2

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=sha256:6669ed25f609544511b74a41361499b7240f6662df5b212c219ea422aae27a05

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:ebf386ae01b95ef2c660cf9468391af1d21da276a945773fc6382da8d3faeff8

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:ec3498613b69e4d8c475502b061cd5657722d51e23016530cc7a1bb5688e4a41

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=sha256:90911c6b0baa40b30c093d716b807a29223c3ba99411114087ba6226fbcb6483

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:b3f0a1fddd07f9a466f1e3d372047ca864dff53e30cd1ec291740a754825c8a7

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:c164b7aa5a5f420bfca11ff2f52d94dd0db05079d1e49245629badb9a5db9a22

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=sha256:767b53ffe2580dc3cafd231fe2bd0c196d317159c3dea807edc9a882e86e38c6

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:b07885c42dad259ad212b5e4365d10f597dd80b2f7a058106469696d3837261a

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:c0f05e15b8a938c132ba05443eeae3ebc5fdf292d08881774ac2603c5e4b8139

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:f66c21ea9947d25ed7f2ddd341f3e455d43da0440b869ff16ea1c2fb5b9e1e3a

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=sha256:79f2e4b4840a522b02c415e6244075f147e8aac0294f929476b53dc3a3c247d0

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=sha256:77502a89947c34f76a4615c01c44b3445330b6718f77ef2644f03e3722f12c31

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=sha256:0ec15ac0a612cd52b6cdc129a4eeec4906fd2c41dedac6e7f45f50188914dd2b

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:eea621712c37820591c0a13abe5371938f39e105eab2d01d7503e149d166185b

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:102980fa60a8e7a3ddb7c3f2d58adfba60a4b7fb1942f7923523868ee918cb39

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:fa48cc5283aa4603828fd0de4d9ef511b66581d516115efd4220bdc8b71f39fe

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=sha256:4620a4a254583f84f98ed4cc87e3aa16955a1cd8cea959f580c14ba43b5022f4

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:ec253920271b276ee83579bf5b3e7b417f94997142d4be02288d7e4f052e4c38

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:2bb3ebbc94dfe7eab96047032c10f8d15e8294aac69ed2775ea163ac7c45c71c

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:85584b0cee8da11fe0dfe1b6ba2f09f42129a6f01b87d9a958ef69f727c7afd4

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:0663a56e9155ccb900efc4cbcb32e7b459e9af883199d0b75b9e3f7b0c2d3c33

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=sha256:8d6449f421b2fd1ffaa28ed389ff4d4158ebad2cab95c793ffdef64a0328c0d0

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=sha256:0fb7220ea9df1fd560f8217121b91aa96873e1417aa58b3e4da0974f6cac2496

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:e2ac1067bffa14c3e282c881847018abfcc900e94a29198fe11eb32ee7fd84e3

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:ab142b6a1ab97baa6e071557817c84f257f3303ab424ad66402db2f428f462af

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:a4b3b099da12d693bcaa98dc9dbc906ba72f3a85e7ee7b83048d5d28f0bab4f4

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=sha256:3c5a52c6c22310f7b320f8f4906803eedb41fd7c122c34eb25cd6cbef723099f

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:e6a05c842929c4cd3277cabea9d784f0b2fd99920555b66499b581ddfa496b87

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=sha256:0bcc3ede90ba1c4d6981de62070575064e67ca3ed0ffee2e857a371dbff8bcf1

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:0c10bfdf7a428406d7b4ade8a2a887299ba0e9027c479a5c87e72e5d0a3d6409

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:c5eeb664c17a59cca133fc651a4176630d6cfcc47aa3f8fb0e66a75ee8f71a0d

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=sha256:9b2633c126e95694ca61ac2d8d5589e1f1b7d039a9151efb80714f130abff4cd

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:c008047efae69b813a61f998f6c0441255a87816a609684f2988c1de17a1bfbc

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:18a26ea50bcefe89ab203ba45654195a9ca91f9aaf25397f279a4f533f550b61

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:a9496875681b282a0760f9354e145d9577dc31d52218004657d8bf1db646f74c

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:ef122973e362ddd4def1663eec351902b77a1bf33e8df7b7a5abc57d1d3e2822

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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source=pdf_text observed=2026-07-12T01:17:36.542815Z digest=sha256:c41c84ef08840190140540ead1ddb39cf80d6b11d80d9de6354f344bebba281c

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

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.