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Paper Citation Record · LEDGER

Confidential Federated Computations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.10764.

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

pith.paper-citation-record.v1
2404.10764 v2

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 2026-08-08T21:19:39.212631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:46:49.045727Z

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 d43f50d8-8e05-4c67-be5d-e6d4980a9351 · inbound

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks cites this paper.

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Confidential Federated Computations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T21:19:39.212631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:19:39.212631Z digest=sha256:726e6ad7590ff8f8e154d4f7700db3c2bd6ef1dbb96fc958f23069d80302c97f

Observation 3ab74b5c-9be2-4540-bf00-0c08cc3a1d2f · inbound

Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing cites this paper.

Blueprint, Bootstrap, and Bridge: A Security Look at NVIDIA GPU Confidential Computing Confidential Federated Computations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:12:07.207266Z

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=2026-05-19T06:09:18.227980Z digest=sha256:f9674ef6da01626066adf4c8160f800cc9c2160999cd2443cd9ea611c96752d8

Observation 60836689-606c-45ee-afb5-7a645308405a · inbound

Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing cites this paper.

Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing Confidential Federated Computations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T20:27:30.201971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:27:30.201971Z digest=sha256:282b69da4625a6a40647b12025c3a06ccc2e1c6199867428030ca24ffc054d86

Observation f4f7a321-9cb0-4a0f-8b67-abb5d42ce836 · inbound

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems cites this paper.

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems Confidential Federated Computations

Reference 150

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:33:42.308017Z

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=arxiv_source observed=2026-05-20T19:30:13.469451Z digest=sha256:08c40e815c3a53f5b3a9096bd6011e17a8480607540e05f195bc23036f46fae8

Observation fd96d9f7-41af-4bae-9e47-8585e4a830f6 · inbound

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries cites this paper.

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries Confidential Federated Computations

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:06:23.682790Z

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=2026-06-28T13:38:48.333498Z digest=sha256:1e6613cc815073fe7ce9325a557d1fd4a7e25146c45a4a12431ccfb71060dfd6

Observation 7f56702a-21c2-4f85-9388-1020435a2f4f · inbound

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning cites this paper.

DIST-FL: Enhancing Security for TEE-based Aggregation in Federated Learning Confidential Federated Computations

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:46:49.046997Z

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=2026-06-28T05:46:08.181285Z digest=sha256:091bab36abc6bdd912d5bc0766e3bb39927f15d42cd44b90ff836e68c6e5b215