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Paper Citation Record · LEDGER

Selective Aggregation for Low-Rank Adaptation in Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.01463.

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

pith.paper-citation-record.v1
2410.01463 v3

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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:46.352200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:40.886112Z

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 79a326fb-9188-4100-bd8e-6d1e1bbb64a7 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:42:46.352200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:46.352200Z digest=sha256:d2a183709e20f3297078c1827502b4e7755e9e4500a0cbf337b5994ad34ad88e

Observation 381c6472-6ee2-4755-8454-4ed85d0fd23b · inbound

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption cites this paper.

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:20:47.004308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:47.004308Z digest=sha256:5327fd9cb55e2efa4d3f3226bcbf36ac0b9b7a2780bf2424fe896ad527ee0a8e

Observation 7ef83027-481c-4d92-a402-cd73d9f91030 · inbound

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix cites this paper.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T17:53:44.916219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:53:44.916219Z digest=sha256:daccbbbf8f41111927ee62ab64dcf448b8462320a09d1e8699aaf7893dc175b0

Observation 44530843-e1a9-4821-a86c-5fd4e8346d62 · inbound

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints cites this paper.

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:00:41.434765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:c3c3ca41408da5393dcec5ea7bd0eb0a2768ff61031f0e0128a87407eebcb475

Observation 119bc23d-6cab-4c01-85f5-4005bccde72a · inbound

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models cites this paper.

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:10:18.209544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T20:07:38.811639Z digest=sha256:f15dab5fa0240e260f65cc8e8b235a1e8c236b8dfa19a3b2b472468994b9a6d3

Observation a9627c66-8a47-470a-aa97-dc189f3a0b0f · inbound

Task-Centric Personalized Federated Fine-Tuning of Language Models cites this paper.

Task-Centric Personalized Federated Fine-Tuning of Language Models Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:27:59.631138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T21:26:17.264779Z digest=sha256:98733e52b78665c87696b1baf889cc8d0f4959796c5550d1eb79834c07699006

Observation 88f8a221-9ffd-4c82-a34c-8f4a4b826d34 · inbound

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation cites this paper.

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:41:19.109437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:31:02.010416Z digest=sha256:d9906632e21f329fb899b24749b50c8b9b83c9ea8433ac284d52ca76505d8d19

Observation 1ed03af6-fdeb-48e8-a9fa-43e3451a4642 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Selective Aggregation for Low-Rank Adaptation in Federated Learning

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:25:40.888416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:9e290333af82a01da021b0bf076b2cf81f6f3315e0078b9ac081b278efd46111