Pith. sign in

Paper Citation Record · LEDGER

Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.11888.

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

pith.paper-citation-record.v1
2407.11888 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:25:53.989691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:29:44.180626Z

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 573c722b-4419-4c39-ace7-b29313b0af04 · inbound

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment cites this paper.

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T15:25:53.989691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:53.989691Z digest=sha256:f8a5a880631f2216324e1af9a38f2403542f11c34e28be5a41cd6f72ca47a9d5

Observation 03add105-5f9a-4820-a759-67a889377a69 · inbound

BOLT: Bandwidth-Optimized Lightning-Fast Oblivious Map powered by Secure HBM Accelerators cites this paper.

BOLT: Bandwidth-Optimized Lightning-Fast Oblivious Map powered by Secure HBM Accelerators Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T12:21:58.587319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:21:58.587319Z digest=sha256:8d221ea11f5f37ec52f75f6d1a64629a552ef91832f71d66c340688db05b38fe

Observation 03c3baf7-efe3-43d9-a089-37fe48cc31a9 · inbound

SL5 Standard for AI Security cites this paper.

SL5 Standard for AI Security Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:21:24.865628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:13:42.877921Z digest=sha256:2ea2d398ec7598fa317824927c6b855411a9bd9efd929833dce24cc8a766ac8f

Observation ee572f50-bd3a-4784-b8d4-50b977dd6344 · inbound

Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators cites this paper.

Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T23:12:51.685483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T23:08:50.624462Z digest=sha256:2beb82e3addc37a3bb1d124948bd660cdac53ff0c415b81c5f497542fe6e51c2

Observation ca2fccc2-cf46-418e-aea3-87f1dfc3fbaa · inbound

AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments cites this paper.

AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:36:15.541626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T16:37:20.774251Z digest=sha256:62f6faea0d59058db3573ad52145c4c8f9742fc8fdb43127ab231d764715f748

Observation 7525c38c-662b-48bc-aa45-099c634f011f · inbound

NeutronSparse: Coordinating Heterogeneous Engines for Sparse Matrix Multiplication on NPUs cites this paper.

NeutronSparse: Coordinating Heterogeneous Engines for Sparse Matrix Multiplication on NPUs Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:29:44.183352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:53:40.216887Z digest=sha256:f0e9eec005d396d93747d7dcf8dba74fdbc1fb4e8e0f30b1661c16d38aad9776