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Paper Citation Record · LEDGER

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

As of 23 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.08605.

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

pith.paper-citation-record.v1
2502.08605 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:37:48.890342Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

56 of 56 outbound references displayed

  • verified exact2
  • verified fuzzy41
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eb70b3a-8c0b-4eb3-842e-63b744a9cb60 · outbound

This paper cites Constant curvature graph convolutional networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Constant curvature graph convolutional networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.544769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.682152Z digest=sha256:703b540d979e3baaa1310dd37dbdd71a72dc57191fc866fad6d8f3f1cfb9760a

Observation 87574b67-ec91-4d75-a079-47e952bd4cce · outbound

This paper cites Discrete laplace operator on meshed surfaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Discrete laplace operator on meshed surfaces

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.533311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.686872Z digest=sha256:972f68f5d52ce11244f62286f3eaa127cad7f1f79522434d62c0d52fe75b8375

Observation bf627f85-b02f-4628-a6c7-2c858227379c · outbound

This paper cites Hyperbolic graph convolutional neural networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph convolutional neural networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.690969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.690969Z digest=sha256:0aff513def793ff842f625119d101a37661e8234c19c33ba105aa78678d8c5df

Observation 71731454-7ac4-4cce-be70-0f5de46b097b · outbound

This paper cites Detecting network anomalies using forman--ricci curvature and a case study for human brain networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Detecting network anomalies using forman--ricci curvature and a case study for human brain networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.515447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.696925Z digest=sha256:544a3cf160c53e6fe96990954f5b601453d48133ec71cd0e9d2f23c13acac59a

Observation a664b414-e0d5-468a-b08c-51f7c603bf8b · outbound

This paper cites Hamilton’s Ricci flow, volume 77.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hamilton’s Ricci flow, volume 77

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.505036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.701135Z digest=sha256:99046d1fb5b38f6b50ac62bfde9372ae92ababa5df0619cece01a3f3689a5156

Observation dcf48927-f120-4284-8461-cd578727059a · outbound

This paper cites The n-dimensional cotangent formula.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The n-dimensional cotangent formula

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.494907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.705449Z digest=sha256:2431e34553b2ea4cf7fc061123ce25b77d5868ee3e65efe03cbfd692e0745455

Observation 973d00b8-45f6-4988-ae23-b4bb55bb72e1 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Convolutional neural networks on graphs with fast localized spectral filtering

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.483563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.709809Z digest=sha256:a79557d4f766efccb970937cc2c8151e52d3d53cd2c9faf35a2cf792b8f0be90

Observation f9c990cb-a4a4-4d39-a3a4-aea6d4ca9de0 · outbound

This paper cites Deep anomaly detection on attributed networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Deep anomaly detection on attributed networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.471603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.713546Z digest=sha256:4f490ba146e3f8310e9255a1e136428d2cbf27d076dc5ea12c545d44633f8c0c

Observation 5cc62ff2-ba14-4e53-a9dc-fea2fadcbcd2 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.460187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.717124Z digest=sha256:c687f937d2f431b0d15ef3f193cdcb4c9df0d4a6b398159ee8b3e85350ffac61

Observation 277caa12-55e6-46f0-9967-89a2f1e69b94 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.448157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.720921Z digest=sha256:a2745acb3522958625776ace9e74e1d2bd7b0cdcc74636911a8b081f21633b81

Observation 53125307-6a9c-4f4b-be4d-f66441b1755e · outbound

This paper cites Cascade-lstm: A tree-structured neural classifier for detecting misinformation cascades.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Cascade-lstm: A tree-structured neural classifier for detecting misinformation cascades

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.436840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.724649Z digest=sha256:cb657f776f42e55b7badc4c2b3493d03f3895c0ac50ceb8cd66dc268d0a8bf44

Observation ae188c9d-bed1-42b2-8018-a7659d562b67 · outbound

This paper cites Anomalydae: Dual autoencoder for anomaly detection on attributed networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anomalydae: Dual autoencoder for anomaly detection on attributed networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.425048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.728563Z digest=sha256:1393de54783e1bab1cecca277ff7cadcffb424a8aa02f24619994d9fe8522606

Observation 006ad955-cf64-400c-9593-521944a7ce99 · outbound

This paper cites Learning mixed-curvature representations in products of model spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Learning mixed-curvature representations in products of model spaces

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.412930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.732169Z digest=sha256:8035111b4a7575415b3362ea162c3bde8261149e84f348055b0257e18ec2bb4a

Observation 90a463e7-fd25-498e-aa8e-5f27b5cba9bf · outbound

This paper cites L., Ying, R., and Leskovec, J.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection L., Ying, R., and Leskovec, J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.397697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.735742Z digest=sha256:7f893ea0678b5d59b6f31a1c9e6bc7a668053aaf052559d3e60b91781fcb897a

Observation ca36588e-bf96-4ba3-905c-9d03803c6519 · outbound

This paper cites ADB ench: Anomaly detection benchmark.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADB ench: Anomaly detection benchmark

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.385351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.739304Z digest=sha256:05557259a6b238779e0740ee3585b45310390582bce56c44b524618a0a08588a

Observation c7c9b310-ae79-47e3-9004-068772b20ffa · outbound

This paper cites Analyzing the effectiveness of graph metrics for anomaly detection in online social networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Analyzing the effectiveness of graph metrics for anomaly detection in online social networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.371789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.742842Z digest=sha256:01fb9d40a14302113ebce9ada5bc56bf3819de418c3fe3c5b9a9cbe9aa3fa773

Observation b35c7f4e-4ece-4c31-a85a-60e02de50887 · outbound

This paper cites ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-08T04:37:48.984092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.746493Z digest=sha256:89280bfe7011d7d13ba770e540dbe4c9f0a13e206ddcf34532e8311dda21e769

Observation 2adaa976-9500-4bb8-a787-2f7a155aa0c5 · outbound

This paper cites Ada-gad: Anomaly-denoised autoencoders for graph anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ada-gad: Anomaly-denoised autoencoders for graph anomaly detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.358659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.750767Z digest=sha256:223f36bf684a52919e70fee5d0fd6478b486a646b282fac286548a6a3d3ea96b

Observation 9725e2df-223a-4047-a14f-085476adc9e3 · outbound

This paper cites Bernnet: Learning arbitrary graph spectral filters via bernstein approximation.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Bernnet: Learning arbitrary graph spectral filters via bernstein approximation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.346131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.754398Z digest=sha256:1c14515ca02bca2c10efed63622f8529dad5d6fb84adfef47e161accaeeb8580

Observation 66c169e5-6b88-42a8-ad6f-d94f5f6e2a3b · outbound

This paper cites Graph Convolutional Networks for traffic anomaly.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Convolutional Networks for traffic anomaly

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-08T04:37:48.968395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.758279Z digest=sha256:420669df5880e097c9e5aa3901c5900697728187a4b374fd52768173ba3494d8

Observation 7b979849-b963-489f-9535-da4b0b5fde86 · outbound

This paper cites Dgraph: A large-scale financial dataset for graph anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Dgraph: A large-scale financial dataset for graph anomaly detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.335273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.762552Z digest=sha256:b13a538a86ccc49dde95e4372415afc8676278afac53036c899d5ddaa5c6dda7

Observation 245b31fe-6a76-4790-b4c6-b9ed416d5bc9 · outbound

This paper cites and Liu, S.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Liu, S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.323171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.766264Z digest=sha256:09a65a577a99cbc2c3b728f806dc204f0604f31901ee8daf5f8e91b44c6c8a0d

Observation 2ff45b50-c566-4d9c-8bb1-0f1b36752a5c · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.311050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.770000Z digest=sha256:95ed5c825e225e5352d568d69db7c1e85069a4134744ee80d39ba53bd516698a

Observation 091bd3b6-9266-4679-8ad3-2b3fb46e0ea1 · outbound

This paper cites The hungarian method for the assignment problem.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The hungarian method for the assignment problem

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.300161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.773622Z digest=sha256:a267a12d30c334c1ae2a5ccb2c045e2b3ec140937b20ab0808a7355e8d354ae4

Observation 8b0980f2-2ef6-47b2-a235-88befe17e0bf · outbound

This paper cites Predicting dynamic embedding trajectory in temporal interaction networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Predicting dynamic embedding trajectory in temporal interaction networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.287386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.777085Z digest=sha256:4698a8e6db414503a079db6b7619b5a749a66b0aa5a95baf19b51dd5c3bd1a65

Observation ab7960fd-57fe-45e0-9991-8cac43ce76e6 · outbound

This paper cites Ricci curvature of graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of graphs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.274949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.780430Z digest=sha256:b715e600e5501143cd074896c0e533c22eec0fd608108c6f562acaf9e44234c2

Observation f229c164-365b-43a8-8c6e-5a9621cfdcd6 · outbound

This paper cites H., Jia, Z., and Yu, P.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection H., Jia, Z., and Yu, P

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.262461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.783750Z digest=sha256:fc283a6b584f39c03e015bda50405487c310fd0be273e8ea80f5df7139549ea7

Observation 07aedf05-6290-40d2-84e4-d190a34e6386 · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Sphereface: Deep hypersphere embedding for face recognition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.787710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.787710Z digest=sha256:03f254db14be56841bb78ec911feba9c88fb67595fc67bc6e546f71486a3fd5d

Observation 7d80a50a-0e63-46c8-bc5f-acd0b0343c5a · outbound

This paper cites Pick and choose: A gnn-based imbalanced learning approach for fraud detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pick and choose: A gnn-based imbalanced learning approach for fraud detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.243362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.791222Z digest=sha256:024a95da8d40c238a9e2c90ae80f248bece7c846e2f86f774a22b7e8524515fd

Observation dc5f3e4b-25d0-4034-bfee-9fa06f45eb1d · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.232761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.794799Z digest=sha256:677c5b47fcc85e05c306c921257e9a4a82be4f19c3f6902107647a78fc5e2041

Observation 3d25619e-f1d4-41ee-a50a-cb1ac343971a · outbound

This paper cites Network alignment by discrete ollivier-ricci flow.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Network alignment by discrete ollivier-ricci flow

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.222027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.798402Z digest=sha256:813a890fdc93bb67d0e19ca407726b9c8f55071200a2998ee4cbf3d04531f45e

Observation 55764fb5-6420-4e95-9b1a-ef8aa915bef0 · outbound

This paper cites Ricci curvature of metric spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of metric spaces

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.211403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.801870Z digest=sha256:9cd9f3c44a1e320fa600e34619c3ce717e7ccc99c4782026903ccbb6d43814ce

Observation 38b1dd66-947f-4743-b54f-365f194d05f3 · outbound

This paper cites Ricci curvature of markov chains on metric spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of markov chains on metric spaces

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.200378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.805350Z digest=sha256:5de4fde44175cf848175ea7d3049b251a0dc15e43be7df1ae4f5d1f3485072ab

Observation 900eb7ba-e2ff-488b-9e7a-0384791e8dc8 · outbound

This paper cites and Rossi, F.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Rossi, F

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.189463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.808584Z digest=sha256:8e1def78940a010313ea628b3537baaccdb8a3feddaf9aef369f58f9ef01cdf8

Observation f9a41ec2-2af8-4552-809d-5661ff840cfa · outbound

This paper cites A critical look at the evaluation of gnns under heterophily: are we really making progress? In ICLR, 2023.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection A critical look at the evaluation of gnns under heterophily: are we really making progress? In ICLR, 2023

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.178228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.811924Z digest=sha256:e6ac52397fce0c0b332ca33c110f7854e199488c6827db554510fddbd6fabfb9

Observation 04331234-c91b-4d22-a2e9-fd4100c36f50 · outbound

This paper cites and Akoglu, L.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Akoglu, L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.166513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.815608Z digest=sha256:7974a218f62a1c446f6745faf038478499fe42a94738194c66fbde1f33a2f6d9

Observation 15596e27-cd59-47bb-a11e-0cced3a1456b · outbound

This paper cites Gad-nr : Graph anomaly detection via neighborhood reconstruction.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Gad-nr : Graph anomaly detection via neighborhood reconstruction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.155604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.819046Z digest=sha256:c36adb6a5a5f50a53bac6d3329dc65c80458afdc5e565d6b1cb6fd5d55aeaf01

Observation 41da7bf6-ecb5-4921-9fbe-c58a1827bfa2 · outbound

This paper cites Karate club: an api oriented open-source python framework for unsupervised learning on graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karate club: an api oriented open-source python framework for unsupervised learning on graphs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.144972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.822738Z digest=sha256:39deafda7ec72e26e654b720d0d89ef51e47ef114610a083eac15c576d44c02f

Observation 594d0a71-ecb6-4b18-a739-223db28b1627 · outbound

This paper cites Representation tradeoffs for hyperbolic embeddings.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Representation tradeoffs for hyperbolic embeddings

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.134488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.826298Z digest=sha256:af06483bfd5023a396219336d915aeddbb26b7caf1545331a9ea62e33416ce9c

Observation 3b3d98b1-0bcd-4895-83ce-91c5fe15bf62 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.124207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.830003Z digest=sha256:0f089847a731fcf8014337cd12b9efa8f29e73db51bc1337a3b8faefd0e94f5e

Observation b9867406-7574-4b17-a70f-1e9484588d0e · outbound

This paper cites and Knopp, P.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Knopp, P

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.114325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.833402Z digest=sha256:8bdb06484c7628fdf824fd09e8f04e1a7aa925f545dbf0535e8e212d35c443fb

Observation dd37dec1-69d8-450f-9cb9-c86742d9c527 · outbound

This paper cites Rethinking graph neural networks for anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Rethinking graph neural networks for anomaly detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.103890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.836931Z digest=sha256:fb8439c50e7844bcc73fa26aa9824a8ee07be932e8cf570058356a6686a6442a

Observation cbf63fb0-341f-4ab7-9b54-3dcf7f2024c8 · outbound

This paper cites Ricci curvatures of contact riemannian manifolds.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvatures of contact riemannian manifolds

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.093006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.840301Z digest=sha256:dbae5db84376647d51654f8a700596d5c4c364cf530d660e67ec3d24828e6603

Observation 3dd0e992-1a19-43b1-b342-95dad1451f23 · outbound

This paper cites Curvature-based Clustering on Graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Curvature-based Clustering on Graphs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.844277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.844277Z digest=sha256:ae56afafe3f43ca62521cdeb0378ab388576f92601d986730f38e7e272e7afce

Observation 3101780f-f191-4272-933c-5c7301f4db5d · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Understanding over-squashing and bottlenecks on graphs via curvature

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.848237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.848237Z digest=sha256:b7bc54688b6eed482a06be2851ffa762b37b6aaa801979c387261bd9743f4f7d

Observation 2c9a1767-e8f4-4ffc-b7b2-00b191c550c6 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.082039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.852033Z digest=sha256:723694aa7cdd142ddcca39792f87102787e26d7a3109c6cb8cf21a18a6aefd40

Observation f740fbf6-7a33-4510-903a-b66951b9cef5 · outbound

This paper cites Geometry of laplace-beltrami operator on a complete riemannian manifold.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Geometry of laplace-beltrami operator on a complete riemannian manifold

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.071348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.855577Z digest=sha256:3e8a499300327fe52135a230edad901bb55557509b6ce450aba1646362f17606

Observation 8118e529-efb3-4db6-98af-e9f5f4214440 · outbound

This paper cites Graph Attention Networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Attention Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.859401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.859401Z digest=sha256:1de63a9a937649a240da6f043f17f08ef7beea4bd301fd41743ec8000a7fc2ac

Observation 4ff787a0-9356-47f9-a969-b5a296dbc475 · outbound

This paper cites and Zhu, H.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Zhu, H

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.060118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.863360Z digest=sha256:15556274a783ea4a7e592a1a3208f19e9db8a28f184e8a9d9145086acb222280

Observation 0580729d-4fe3-421e-8280-60fe9a5e4ee3 · outbound

This paper cites Decoupling representation learning and classification for gnn-based anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Decoupling representation learning and classification for gnn-based anomaly detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.048823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.866985Z digest=sha256:fd0b783519db4ba83eec7bb12de97fb3823a0ab3e5aeef3e7a92cd196def7bff

Observation 70add1b4-5b43-47ce-8446-3c2058ff85b2 · outbound

This paper cites Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.870949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.870949Z digest=sha256:8e9ac80a214003f704e8a53ca9daf49ef83342ada50c5ae294d1d3ca0ef73bcc

Observation 63736e00-24c4-4e83-8420-beeb2812d590 · outbound

This paper cites Pseudo-riemannian graph convolutional networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pseudo-riemannian graph convolutional networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.037221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.875573Z digest=sha256:4351340308ed31062eda5269d7dd0e6210861f2973c983b0709e5b5b5fcbf62b

Observation f30753ed-464d-4e07-a3dd-38ce3584148e · outbound

This paper cites Casflow: Exploring hierarchical structures and propagation uncertainty for cascade prediction.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Casflow: Exploring hierarchical structures and propagation uncertainty for cascade prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.026012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.879204Z digest=sha256:95763ec7f8d6142278f0a1fe103b631d92474aa0e37f053f7da843645e5c68eb

Observation c2e62ce1-dedb-4eae-8beb-3631908f838b · outbound

This paper cites Hyperbolic graph attention network.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph attention network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.013996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.882980Z digest=sha256:1e6bb1db53e70b5959ed4dfa4ca1ad7e2676bcb82268082904ce26971f22b5e8

Observation 764dbd75-7072-43f5-8bec-5ceedd8e278f · outbound

This paper cites Error-bounded graph anomaly loss for gnns.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Error-bounded graph anomaly loss for gnns

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.002592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-08T04:37:48.886622Z digest=sha256:fcd6bdfca8581b3016d958ea23843fe4eb4871ecf519ced459fc55a971154490

Observation 532338af-19b9-4c7c-9b2b-755ba15bedb7 · outbound

This paper cites write newline.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection write newline

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.890342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.890342Z digest=sha256:4f0b323c27ad714be3c2c58d35701fe94e6f2e36e5c8af3386af2e0c4608f16e

Pith citing papers

No inbound Pith citation observations are available.