Paper Citation Record · LEDGER

A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.16065.

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

pith.paper-citation-record.v1
2502.16065 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:15.516612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.456078Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85bd9cc7-b88c-4a73-98d0-58efb115df1e · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:15.516612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9f6acc-fbcf-4a1d-b625-acbd09fdb5d5 · inbound

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning cites this paper.

DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T19:25:28.222498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625e38a5-dd99-4792-a441-c95a41349323 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 264

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:38.426422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ded5451-0772-482a-82b7-9cc78580205d · inbound

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.719551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aaa7b1f-0775-451c-a257-c86ce0488ce5 · inbound

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? cites this paper.

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:29:23.807689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32f94d03-9876-492a-82ca-f3104ef665d5 · inbound

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? cites this paper.

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:05.384521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cb9c785-2b42-4ef1-aa8e-b321ecd4bce2 · inbound

A Survey on Security with Quantum Computing cites this paper.

A Survey on Security with Quantum Computing A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:05:47.437377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1a80fb47-7eac-47d2-acce-f40f90a3c5ba · inbound

GRADE: Graph Representation of LLM Agent Dependency and Execution cites this paper.

GRADE: Graph Representation of LLM Agent Dependency and Execution A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments

Reference 109

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:39:46.457485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.