Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:59.026345Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2608.03605.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:11:59.026345Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ad95a795-3497-4c45-9cb4-402ff2087f1b · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation 2017 , editor =
Reference 1
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Universal Language Model Fine-tuning for Text Classification
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation and Delellis, Nicole S
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Reference 10
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Reference 11
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Journal of Machine Learning Research , year =
Reference 12
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation TinyLlama: An Open-Source Small Language Model
Reference 14
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Advances in Neural Information Processing Systems , volume=
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Reference 17
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Reference 18
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation FedML: A Research Library and Benchmark for Federated Machine Learning
Reference 19
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Observation e9a0ea59-cd00-464e-a273-5a7661aeba82 · outbound
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Reference 20
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Reference 21
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Reference 22
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Reference 23
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Reference 25
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Observation 8d8c749a-e2bf-4a60-b4e7-3aa42855e796 · outbound
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Reference 26
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Observation fba7a01d-d93e-48f6-a241-1bafd8f79cb0 · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=
Reference 27
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Client-Customized Adaptation for Parameter-Efficient Federated Learning
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation and Xu, Daguang and Chen, Tingjun and Chen, Yiran , title =
Reference 29
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Observation 70dbc580-9260-4a9b-b921-0272ae671349 · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Proceedings of the 41st International Conference on Machine Learning , articleno =
Reference 30
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Proceedings of the 41st International Conference on Machine Learning , articleno =
Reference 31
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Observation 4cfab5e3-7921-4b77-9268-2a7421d95dc0 · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
Reference 32
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Reference 33
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Observation 42bda43a-7857-4f47-9b2f-793bff5b711e · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Fast randomized Singular Value Thresholding for Nuclear Norm Minimization , year=
Reference 34
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Reference 35
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Observation c8d12184-ca1f-430a-bc94-bdaf7fefc865 · outbound
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Observation 87303fdd-ea1e-42c1-9800-2e6839ebd0a1 · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation and Deems, Stephen and Furlani, Thomas R
Reference 38
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Observation 5977f98a-e17f-4d55-84a6-594ae0602f65 · outbound
FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 39
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Reference 40
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Proceedings of the Twelfth International Conference on Machine Learning , pages=
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Reference 43
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Proceedings of the Tenth International Workshop on Spoken Dialogue Systems Technology , year=
Reference 44
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation F ed E x- L o RA : Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models
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Reference 46
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Reference 47
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Reference 48
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Reference 49
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Reference 50
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Reference 51
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FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation Can a Suit of Armor Conduct Electricity?
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Reference 54
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Reference 67
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No inbound Pith citation observations are available.