Paper Citation Record · LEDGER

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.19888.

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

pith.paper-citation-record.v1
2505.19888 v3

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:30.528446Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy13
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb41dc8f-ac4f-4d61-828f-a936a628476a · outbound

This paper cites GPT-4 Technical Report.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:28.426825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e678b1dc-2952-4d0e-8fbc-b507bf76353f · outbound

This paper cites Recognition in terra incognita.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Recognition in terra incognita

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:32.382436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 703d08f5-b2ca-480b-b657-752fa970bcaf · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations On the Opportunities and Risks of Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:28.461316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96181aa1-aae7-44a7-8723-070052a9350f · outbound

This paper cites Language models are few-shot learners.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Language models are few-shot learners

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:32.238690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9be32b7b-4711-48a0-913c-e44080891a44 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations LEAF: A Benchmark for Federated Settings

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:28.690915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6634fd79-9ee1-4ba2-bc17-6e5b4ff8a519 · outbound

This paper cites Sur quelques propriétés des déterminants gauches.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Sur quelques propriétés des déterminants gauches

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:32.150609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd3e439f-5af3-40be-b7ec-433537293489 · outbound

This paper cites Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Unbiased metric learning: On the utilization of multiple datasets and web images for softening bias

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.957090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 523281d7-8a5c-4bfa-90a5-e0db77593257 · outbound

This paper cites A Survey on Heterogeneous Federated Learning.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations A Survey on Heterogeneous Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:29.145278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1a5bbb-1fe1-4ed2-bf79-8a948a70169e · outbound

This paper cites an unresolved cited work.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:11:31.808930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e0eefd9-3823-428b-a9b5-ba753b845e0c · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Scaling up visual and vision-language representation learning with noisy text supervision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.652230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1288364-ff38-48b4-aa9e-13ebbbaa5c76 · outbound

This paper cites Deeper, broader and artier domain generalization.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Deeper, broader and artier domain generalization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.545733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53b3d97c-faae-4080-b260-7c6ec7f20745 · outbound

This paper cites FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:29.672465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c8d39de-0867-48f7-9f30-dddd232108d4 · outbound

This paper cites Communication- efficient learning of deep networks from decentralized data.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Communication- efficient learning of deep networks from decentralized data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.457287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0428c9dd-50a9-4686-b8d3-daf29903c126 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Pytorch: An imperative style, high-performance deep learning library

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.353071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94cbec19-7f3c-40f1-82f8-da7941f565c7 · outbound

This paper cites Federated learn- ing with partial model personalization.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Federated learn- ing with partial model personalization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.237436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1755b83-836a-4783-a3ef-755f729662fd · outbound

This paper cites Language models are unsuper- vised multitask learners.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Language models are unsuper- vised multitask learners

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:31.095738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3b7b81c-fd92-47c2-ae34-f6fcc9aa78d4 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Learning transferable visual models from natural language supervision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:30.937175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3dec0836-8d4a-44f8-b21b-c72ff3493f38 · outbound

This paper cites Federated reconstruc- tion: Partially local federated learning.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Federated reconstruc- tion: Partially local federated learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:30.828483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ff7e801f-c4ab-4b4e-9869-ce2674fb96f0 · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations Deep hashing network for unsupervised domain adaptation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:11:30.714598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.