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Paper Citation Record · LEDGER

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.12166.

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

pith.paper-citation-record.v1
2501.12166 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:31:15.146114Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b45276f-d340-4061-9c56-6ee41645c7b1 · outbound

This paper cites Loggc: Novel ap- proach for graph-based log anomaly detection.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Loggc: Novel ap- proach for graph-based log anomaly detection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.450498Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.068802Z digest=sha256:b19577d994ee574bc55e351c906624c051e394e77aa8a0c6f21dc11daf92f8bc

Observation 51405cc2-0dd6-4682-b199-cfa93a4ba8f1 · outbound

This paper cites The Race to the Vulnerable: Measuring the Log4j Shell Incident.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection The Race to the Vulnerable: Measuring the Log4j Shell Incident

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T17:31:15.090941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:31:15.090941Z digest=sha256:539af5b06a4d71d7a84e916640207c1b26bc37822d23b5ee93ce3aa3cc32065a

Observation 59b9b9e6-30bb-4a06-91ed-9ef77f9dc980 · outbound

This paper cites Demystifying and ex- tracting fault-indicating information from logs for failure diagnosis.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Demystifying and ex- tracting fault-indicating information from logs for failure diagnosis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.381085Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.096784Z digest=sha256:b47954348060dc54760a1be737d94a0de017261b8f600a2982f9c6aad24cab22

Observation a62e3c0d-9e24-4f38-848b-d3a78f6c20ad · outbound

This paper cites Graph neural networks based log anomaly detection and explana- tion.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Graph neural networks based log anomaly detection and explana- tion

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.363391Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.101493Z digest=sha256:0e1746a0db51ed9627c91c5de89d773473290da19e904945cc8271f83a431b8f

Observation 53477cfd-fb8f-43e3-b191-c9debb58124a · outbound

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

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Loggd: Detecting anomalies from system logs with graph neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.322649Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.124868Z digest=sha256:a2f5be97aa4177e346f12bb360d5ff6b781577ce99361f925308057824004c62

Observation 1d4f8f3b-5aba-4256-b864-2e86739f3244 · outbound

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

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Semi-supervised log-based anomaly detection via probabilistic label estima- tion

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.306633Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.130097Z digest=sha256:bf97da2c49cc10d3ff699ecb542a4ac447c59c321ed19ddf8c1e9d31efcaa3d9

Observation 829d3288-87da-438e-9e3c-e879a8958904 · outbound

This paper cites Recompose event sequences vs.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Recompose event sequences vs

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.289821Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.135309Z digest=sha256:34d544414923d144d3c33249877bcaec6923d433692bbddc1afb027313d04b79

Observation 1189db59-b5a1-42a5-8ca9-1e71f04927ce · outbound

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

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Robust log-based anomaly de- tection on unstable log data

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.272570Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.140743Z digest=sha256:23c063b41133a31fd3183ec6bb7a1029eca7cce3ae9cb7cb638ccd66751419ab

Observation 120512f5-b515-4305-8623-5aca71e38ec7 · outbound

This paper cites Multivariate log-based anomaly detec- tion for distributed database.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Multivariate log-based anomaly detec- tion for distributed database

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.253639Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.146114Z digest=sha256:b7b6642f581168ccbe50ad7715b9abb5be0b82909b1746e9580b84c64e78ee0d

Observation a49d89c6-04be-49c4-887a-00cb3ef48b64 · outbound

This paper cites Logbert: Log anomaly detection via bert.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Logbert: Log anomaly detection via bert

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.415955Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.080848Z digest=sha256:7c8b8c41baa73813e937eb33a8b5d4b989f0e3a69df7c83503a5e4325777be67

Observation 17258b18-0158-4615-be35-82f6054d9f85 · outbound

This paper cites Practitioners' Expectations on Log Anomaly Detection.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Practitioners' Expectations on Log Anomaly Detection

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:31:15.215206Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.112673Z digest=sha256:66e3e8d3c7e751fb29ee96df9c91073b241cc7e72ed53a7f53991a01f5f6f2ff

Observation 016be9df-3387-4c83-bdd6-da91cf47da58 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T17:31:15.119653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:31:15.119653Z digest=sha256:619bf71a11290b6ee5101ceafad7fdaa447839d9ad457a60795f498a40dc3c76

Observation bb14331f-6158-4358-908e-bb9d374d7dcb · outbound

This paper cites Drain: An online log parsing approach with fixed depth tree.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Drain: An online log parsing approach with fixed depth tree

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.398573Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.086519Z digest=sha256:5a4027c69b0297bb5f4948a6dcd112b5ecae59cfe59db97f353da0d4d237fd53

Observation f77cd625-c638-4031-b4ef-9cbfc11e6b68 · outbound

This paper cites Deeplog: Anomaly detection and diagnosis from system logs through deep learning.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Deeplog: Anomaly detection and diagnosis from system logs through deep learning

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.433123Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.075597Z digest=sha256:28c3ab362135c52af3a2813c5183315567cbdb68ad8444878fac1dbdf39ba7ce

Observation fd4ceb26-4559-4212-83c9-29de2eede752 · outbound

This paper cites Detecting anomaly in big data system logs using con- volutional neural network.

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection Detecting anomaly in big data system logs using con- volutional neural network

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:31:15.345119Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-10T17:31:15.106913Z digest=sha256:9edcbf14705678fdc5ec7c48a11ce45c6bbb58cdad92d1e5a175dc92b6e71ff4

Pith citing papers

No inbound Pith citation observations are available.