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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.068802Z digest=sha256:f1fb43568b73045d9cab9e31467baee7cb0db3525f35c848e2dd93aadab011a7

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=sha256:7948c807e85976dd84496703a1fe28bb30cf166fac5a44a1404b278fe03f84fd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.096784Z digest=sha256:e694a592a4c8a43584d1460b654da885f9be12bbf388390c2b32b2547a75a6d7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.101493Z digest=sha256:cf5dcae5527d1027232b87daf550d11de23d4139209e41bbaae7425278a2669c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.124868Z digest=sha256:2475813f378b5c596d6da7fd54c3ee485d46b5529f1ef3bc9cf4dc994358942a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.130097Z digest=sha256:34715f377301427f6074d8b141a3999c38d7c2b8dc76399d0dc35b4e60cd3e44

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.135309Z digest=sha256:57b0e7324bd1a7e4b3099e1fb4cf233df3757c5a541344d340eda6cc9453e440

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.140743Z digest=sha256:493693294f030ef94f5a1447f74c816092e9fc8618399d4102b3610294c66355

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.146114Z digest=sha256:d581e5a4714aa69bcfb5af63a2cc640388e783dfe191b29e179dbe5500719bf8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.080848Z digest=sha256:f67786764ada53dec145493c69a9cfe4491f3eb49c74d834671bb893f0837b0a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.112673Z digest=sha256:0771a461a531bd27aa70c2723e7f9535f9435f652de2778d7aaa25f4c9ab6d4a

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=sha256:1440113d3c46efaaa98518d01241b9139a5746888cdd69a172c7d1e95445fba0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.086519Z digest=sha256:a6f0ca05fad484a9ec2936207ae3f5c3c07270d74e7720eafd7458cd9637c38b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.075597Z digest=sha256:54187816a23903bbc60eb03fc52911c8dfdd94180ba045beb0ce06412a521c71

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T17:31:15.106913Z digest=sha256:fc494c5aab92ba134375fc4be665f7212dab079e56c71e4285543734cfddd56f

Pith citing papers

No inbound Pith citation observations are available.