Paper Citation Record · LEDGER

Designing a reliable lateral movement detector using a graph foundation model

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2504.13527.

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

pith.paper-citation-record.v1
2504.13527 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:11:54.789211Z

measured 53 of 53 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:28:37.035040Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T17:28:41.228697Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy35
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3d36004-3b60-4c74-a2c1-3eb6a17cdca6 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:57.197011Z

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.

Observation 92330f31-7954-46b2-877d-12793bf1cca6 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Designing a reliable lateral movement detector using a graph foundation model Chronos: Learning the Language of Time Series

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.040108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ec697b-b984-4933-984b-9b1b44faee7d · outbound

This paper cites In: USENIX Security (2022).

Designing a reliable lateral movement detector using a graph foundation model In: USENIX Security (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:57.147671Z

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.

Observation 01bac6da-530d-4b91-9426-c5eee8051ffd · outbound

This paper cites IEEE Access11, 49114–49139 (2023).

Designing a reliable lateral movement detector using a graph foundation model IEEE Access11, 49114–49139 (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:57.108006Z

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.

Observation 04cb9db0-473a-469b-a139-1583914ba844 · outbound

This paper cites ACM Comput.

Designing a reliable lateral movement detector using a graph foundation model ACM Comput

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:57.072337Z

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.

Observation ee6e7b1e-5961-4789-88bd-835694f43bd8 · outbound

This paper cites In: SRDS (2017).

Designing a reliable lateral movement detector using a graph foundation model In: SRDS (2017)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:57.031776Z

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.

Observation 86c37c66-21db-4fb0-a52a-36e8bc4e8dc4 · outbound

This paper cites In: CNS (2024).

Designing a reliable lateral movement detector using a graph foundation model In: CNS (2024)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.989871Z

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.

Observation ed969b5e-0bfa-45ab-b64b-c9c7678d4a00 · outbound

This paper cites In: RAID (2020).

Designing a reliable lateral movement detector using a graph foundation model In: RAID (2020)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.942082Z

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.

Observation c0b3f2b4-7132-4679-bbea-5db03c194b51 · outbound

This paper cites In: NeurIPS (2020).

Designing a reliable lateral movement detector using a graph foundation model In: NeurIPS (2020)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.891362Z

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.

Observation ce8f8743-a81e-4ec3-9146-5f6bf876336f · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:56.839839Z

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.

Observation c3bd5d3a-859e-4796-8f8d-1fb962add01a · outbound

This paper cites Universal Link Predictor By In-Context Learning on Graphs.

Designing a reliable lateral movement detector using a graph foundation model Universal Link Predictor By In-Context Learning on Graphs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.294569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd1af6cd-d1b8-4429-9a9d-74083479c27c · outbound

This paper cites In: ISI (2020).

Designing a reliable lateral movement detector using a graph foundation model In: ISI (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.796140Z

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.

Observation f2498153-f616-4be3-8bc2-c142e7369eb7 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:56.745931Z

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.

Observation b7364ae0-36b4-47f3-9ca5-1269168b7e27 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:56.708912Z

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.

Observation 52088434-e08c-497d-8111-7999b2555259 · outbound

This paper cites In: ICLR (2024).

Designing a reliable lateral movement detector using a graph foundation model In: ICLR (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.667141Z

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.

Observation c3fa15c5-3797-4eb4-9834-b753d9b406d7 · outbound

This paper cites In: KDD (2016).

Designing a reliable lateral movement detector using a graph foundation model In: KDD (2016)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.343952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8cee3d9-d5cb-4c08-97aa-b268e2256821 · outbound

This paper cites In: AAAI (2019).

Designing a reliable lateral movement detector using a graph foundation model In: AAAI (2019)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.573375Z

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.

Observation 092253d6-eb67-4c7f-ac02-5ea661de83b9 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:56.526263Z

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.

Observation 2f512342-95f1-4ec5-a59b-85891c4129c0 · outbound

This paper cites In: NeurIPS (2023).

Designing a reliable lateral movement detector using a graph foundation model In: NeurIPS (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.476109Z

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.

Observation 7bd1f497-292e-4532-89df-941408157925 · outbound

This paper cites Los Alamos Na- tional Laboratory (2015).https://doi.org/10.17021/1179829.

Designing a reliable lateral movement detector using a graph foundation model Los Alamos Na- tional Laboratory (2015).https://doi.org/10.17021/1179829

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.378629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cd79ca-d7f5-4b26-acf9-de98f0a49360 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:56.435121Z

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.

Observation 046d97ff-10c8-4fd9-9361-59e8a995d432 · outbound

This paper cites In: SP (2024).

Designing a reliable lateral movement detector using a graph foundation model In: SP (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.379764Z

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.

Observation 0a488223-ac62-4c52-b80a-6f9c0d2c7c17 · outbound

This paper cites In: NDSS (2022).

Designing a reliable lateral movement detector using a graph foundation model In: NDSS (2022)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.343318Z

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.

Observation 5f3d164e-3219-4603-9b02-9b215b862f8b · outbound

This paper cites In: ICCV (2023).

Designing a reliable lateral movement detector using a graph foundation model In: ICCV (2023)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.429464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f1542a-dee9-4d79-afb9-81ed662bf2cb · outbound

This paper cites In: ESANN (2024).

Designing a reliable lateral movement detector using a graph foundation model In: ESANN (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.272469Z

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.

Observation 4847682a-51be-43c8-a2b5-99994f59ffb7 · outbound

This paper cites Technometrics64(2), 241–252 (2022).

Designing a reliable lateral movement detector using a graph foundation model Technometrics64(2), 241–252 (2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.205668Z

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.

Observation 51108622-75f8-4e5c-b2e9-93360e3e0bcb · outbound

This paper cites In: NeurIPS (2020).

Designing a reliable lateral movement detector using a graph foundation model In: NeurIPS (2020)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.169421Z

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.

Observation f5267156-530a-47c4-a107-e084a5f0e06f · outbound

This paper cites In: TrustCom (2020).

Designing a reliable lateral movement detector using a graph foundation model In: TrustCom (2020)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.117774Z

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.

Observation 74d89753-dd38-4cc0-b7c7-eec03ab36289 · outbound

This paper cites In: NeurIPS (2023).

Designing a reliable lateral movement detector using a graph foundation model In: NeurIPS (2023)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.472534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5beb20c8-235c-42e3-aeb6-6f0a597bf809 · outbound

This paper cites In: MILCOM (2018).

Designing a reliable lateral movement detector using a graph foundation model In: MILCOM (2018)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:56.033723Z

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.

Observation 6577c558-deda-4937-be70-a0620ba2b730 · outbound

This paper cites In: ICML (2024).

Designing a reliable lateral movement detector using a graph foundation model In: ICML (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.981575Z

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.

Observation 2baf2cea-282b-46a5-be58-1bc55303b53e · outbound

This paper cites Technometrics55(4), 403–414 (2013).

Designing a reliable lateral movement detector using a graph foundation model Technometrics55(4), 403–414 (2013)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.936256Z

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.

Observation f654b4a0-4ec9-44f2-87cd-a4c596caf29e · outbound

This paper cites In: ISRCS (2013).

Designing a reliable lateral movement detector using a graph foundation model In: ISRCS (2013)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.899972Z

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.

Observation fa5e2f54-a25f-4021-bd22-30a947bde4a1 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Designing a reliable lateral movement detector using a graph foundation model DINOv2: Learning Robust Visual Features without Supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.524384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1837d2-0806-4501-8662-761e5253287b · outbound

This paper cites In: NOMS (2022).

Designing a reliable lateral movement detector using a graph foundation model In: NOMS (2022)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.869701Z

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.

Observation 7a41e897-f80b-43e5-98a4-3120bd7a7ad4 · outbound

This paper cites AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection.

Designing a reliable lateral movement detector using a graph foundation model AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.547021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4faae1-8243-4b2e-9e74-21d6bf273cf3 · outbound

This paper cites an unresolved cited work.

Designing a reliable lateral movement detector using a graph foundation model Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:11:55.845702Z

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.

Observation 781de0b7-e016-41ca-aede-78c0d7f2f081 · outbound

This paper cites In: ICML Workshops (2024).

Designing a reliable lateral movement detector using a graph foundation model In: ICML Workshops (2024)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.811930Z

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.

Observation 3c035945-401e-42db-b83d-ccaf2bba2a06 · outbound

This paper cites In: CCS (2017).

Designing a reliable lateral movement detector using a graph foundation model In: CCS (2017)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.778351Z

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.

Observation 3ab93c0a-21b0-4639-ace1-411bd6813461 · outbound

This paper cites In: IPCCC (2022).

Designing a reliable lateral movement detector using a graph foundation model In: IPCCC (2022)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.746046Z

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.

Observation 47ed0b88-10fb-44bb-82ca-e4482b79bce4 · outbound

This paper cites In: ICDM Workshops (2017).

Designing a reliable lateral movement detector using a graph foundation model In: ICDM Workshops (2017)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.696446Z

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.

Observation 37a43868-3df7-4d53-ba4d-c7532aefdbdc · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Designing a reliable lateral movement detector using a graph foundation model LLaMA: Open and Efficient Foundation Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.618193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9bd3a1-a403-44dc-93f1-77ee45cbc2f6 · outbound

This paper cites In: IDA (2014).

Designing a reliable lateral movement detector using a graph foundation model In: IDA (2014)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.652136Z

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.

Observation 542c6c81-3144-4457-a0cc-29706dc98d25 · outbound

This paper cites In: ICICS (2019).

Designing a reliable lateral movement detector using a graph foundation model In: ICICS (2019)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.603117Z

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.

Observation 139c06a1-6ba2-4990-b6aa-1a3a234a488b · outbound

This paper cites In: SP (2024).

Designing a reliable lateral movement detector using a graph foundation model In: SP (2024)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.524511Z

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.

Observation c714e793-6343-4775-afae-6fef342c555f · outbound

This paper cites In: LoG (2024).

Designing a reliable lateral movement detector using a graph foundation model In: LoG (2024)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.480838Z

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.

Observation 2e11d5b5-5fd2-4fc9-8c28-118142fbddfa · outbound

This paper cites In: SACMAT (2021).

Designing a reliable lateral movement detector using a graph foundation model In: SACMAT (2021)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.417837Z

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.

Observation 8f5519ac-4441-4b79-b9f8-b31075972405 · outbound

This paper cites IEEE Trans.

Designing a reliable lateral movement detector using a graph foundation model IEEE Trans

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.379515Z

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.

Observation 89ac403e-f0de-4c46-8fcb-8702ee3d02a1 · outbound

This paper cites Fully-inductive Node Classification on Arbitrary Graphs.

Designing a reliable lateral movement detector using a graph foundation model Fully-inductive Node Classification on Arbitrary Graphs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:11:54.738169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29c60c48-dba9-46eb-a39a-fbce5caaf0c8 · outbound

This paper cites In: ICICS (2019).

Designing a reliable lateral movement detector using a graph foundation model In: ICICS (2019)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.329101Z

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.

Observation 3cbb93f9-0f6d-440a-9f90-5dbc77c6ddde · outbound

This paper cites In: NeurIPS (2021).

Designing a reliable lateral movement detector using a graph foundation model In: NeurIPS (2021)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.284496Z

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.

Observation 59054adb-5d6d-4137-8a5c-f7481aa94a3b · outbound

This paper cites In: KDD (2018) A Graph-Based Score Refinement Algorithm The anomaly score refinement algorithm introduced in Section 3.4 is more for- mally described below (Algorithm 1).

Designing a reliable lateral movement detector using a graph foundation model In: KDD (2018) A Graph-Based Score Refinement Algorithm The anomaly score refinement algorithm introduced in Section 3.4 is more for- mally described below (Algorithm 1)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:11:55.234627Z

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.

Pith citing papers

Observation 28c9aaad-82ff-478e-9f0c-d43cbbe49e95 · inbound

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack cites this paper.

REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack Designing a reliable lateral movement detector using a graph foundation model

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:28:41.274976Z

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.