Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Watermarking Graph Neural Networks via Explanations for Ownership Protection
As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.05614.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact2
- verified fuzzy7
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 32b022ec-c96f-49ea-871a-ef3d97269cf6 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Semi-Supervised Classification with Graph Convolutional Networks
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T05:42:36.124593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 29490d51-eadb-431f-9a9f-ba057a85d20a · outbound
This paper cites Szyller, S., Atli, B.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Szyller, S., Atli, B
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T05:42:36.145793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c2e0cded-0876-4d1a-b94a-468f7cc054d4 · outbound
This paper cites Embedding Watermarks into Deep Neural Networks.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Embedding Watermarks into Deep Neural Networks
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T05:42:36.350377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a06b2eec-8cf1-4969-ab35-47313a461723 · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T05:42:36.139223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bcc0f9f4-93e5-4eef-a0ed-3f0f9e43bd6a · outbound
This paper cites scores” corresponding to each non-existing edge. As the generator trains, this “score.
Watermarking Graph Neural Networks via Explanations for Ownership Protection scores” corresponding to each non-existing edge. As the generator trains, this “score
Reference 6
- Resolution
- metadata mismatch
- doi, observed 2026-05-23T05:42:36.131848Z
Source-reported events for the cited work
correction dated 2024-01-09. Source: crossref record 10.1016/j.aiopen.2024.01.002->10.1016/j.aiopen.2021.01.001:correction, observed 2026-07-11T03:16:57.222018+00:00. This notice travels one citation hop only.
Observation 8dd565cf-daa4-46fc-b4ad-440362fa17bc · outbound
This paper cites sufficiently large.
Watermarking Graph Neural Networks via Explanations for Ownership Protection sufficiently large
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.376050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c95adc5d-fdfc-4136-9c6e-9b3a1a224828 · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.382602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3ad765b4-1917-4c7b-a2b0-535b282f62ac · outbound
This paper cites for i=1 to I simulations do Randomly select 𝑇 distinct indices 𝑖𝑑𝑥 1.
Watermarking Graph Neural Networks via Explanations for Ownership Protection for i=1 to I simulations do Randomly select 𝑇 distinct indices 𝑖𝑑𝑥 1
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.369669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79e3db3f-17f8-4a6c-a3a7-996526aa653e · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.372853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 88c083a1-6bdb-442c-b2ec-23b15de70e1c · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.366740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ddf56d22-ef36-4c3d-89f2-c072ae95f0f7 · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.379355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6c31cd4a-dd25-46c4-9635-3c440f39545d · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.363858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e86d0549-6bed-432f-9aa1-354db2f58b61 · outbound
This paper cites If 𝑝𝑧𝑡𝑒𝑠𝑡 < 𝛼 𝑣 , the candidate subgraphs provide enough evidence of ownership to reject 𝐻0.
Watermarking Graph Neural Networks via Explanations for Ownership Protection If 𝑝𝑧𝑡𝑒𝑠𝑡 < 𝛼 𝑣 , the candidate subgraphs provide enough evidence of ownership to reject 𝐻0
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.351373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 73299d74-027e-46a2-bd67-0c6cebcae545 · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.354453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ea44a271-dbd5-45e5-9858-1433f65a180b · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.357435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bab13fe8-e512-47d9-a410-760d8f693c8d · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.360826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9f8d17dd-741b-42dd-84d9-f45e6f82a53e · outbound
This paper cites an unresolved cited work.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-23T05:42:37.385720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5ed8acf7-655f-49f9-917e-9ed0cfe6c256 · outbound
This paper cites For obtaining explanations of 𝑇 subgraphs during a given epoch of watermark embedding, the complexity is therefore: 𝑂 (𝑇 (𝐹2𝑁2 + 𝐹3)) Total Complexity.
Watermarking Graph Neural Networks via Explanations for Ownership Protection For obtaining explanations of 𝑇 subgraphs during a given epoch of watermark embedding, the complexity is therefore: 𝑂 (𝑇 (𝐹2𝑁2 + 𝐹3)) Total Complexity
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.389241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4a395b88-4897-4ffd-a8d9-c86a610a9981 · outbound
This paper cites Subgraphs are formed by randomly selecting 𝑛 = 𝑠 · |V 𝑡𝑟 | nodes from the training set (where |V 𝑡𝑟 | is the number of training nodes and 𝑠 is a proportion of that size).
Watermarking Graph Neural Networks via Explanations for Ownership Protection Subgraphs are formed by randomly selecting 𝑛 = 𝑠 · |V 𝑡𝑟 | nodes from the training set (where |V 𝑡𝑟 | is the number of training nodes and 𝑠 is a proportion of that size)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.392801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f84e257d-7138-4670-985e-5d9d4a93933b · outbound
This paper cites Subgraphs are formed by randomly selecting 𝑛 = 𝑠 · |E𝑡𝑟 | edges.
Watermarking Graph Neural Networks via Explanations for Ownership Protection Subgraphs are formed by randomly selecting 𝑛 = 𝑠 · |E𝑡𝑟 | edges
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.396271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e9252696-a300-4ca6-ae93-4f2f58744f21 · outbound
This paper cites teacher” model, and an untrained “student.
Watermarking Graph Neural Networks via Explanations for Ownership Protection teacher” model, and an untrained “student
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-23T05:42:37.399892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.