Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:15:00.504663Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2412.19616.
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 2026-08-11T00:15:00.504663Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:51.616737Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T19:01:10.343530Z
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3427dafa-22d5-4dbe-9646-a1008616c640 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training , " * write output.state after.block = add.period write newline
Reference 1
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Observation 87582f04-ea93-4143-8bfa-4bc6190cd8f3 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training write newline
Reference 2
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Observation bd526c06-7f09-47be-879a-792597b11c37 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 3
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Observation 9b084c1d-a145-42f2-a154-bafc3944b22a · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 4
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Observation d42873f8-c90b-4aa7-b418-5626e636d748 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 5
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Observation f070a56c-a574-4a79-ad70-a9b8569394d8 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Training Deep Nets with Sublinear Memory Cost
Reference 6
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Observation 4baa2e8c-0c31-4e57-9e07-04f1f799a94e · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Reference 7
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Observation 7640b6f2-e1ce-428e-9341-5263c77915d1 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training 8-bit Optimizers via Block-wise Quantization
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Observation 68826332-96d6-498d-b75d-67ead10f9895 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 9
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Observation 4bed34df-db91-4be1-b79a-6dd30eff3dc0 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 10
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Observation 4235ad2b-d503-4767-84dc-9a00623d53a7 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Reference 11
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Observation 307401e0-2f3c-4d55-bed0-2f160a1713b2 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training K.; Roy, D.; and Carbin, M
Reference 12
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Observation 24a5fade-4b96-4745-8942-32b530b0a522 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training N.; Ren, M.; Urtasun, R.; and Grosse, R
Reference 13
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Observation e942dbec-3523-4edf-b613-6ed144056c1d · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training N.; Ren, M.; Urtasun, R.; and Grosse, R
Reference 14
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Observation 6132dab5-739d-416e-b566-5c284c4e3042 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Gradient Descent Happens in a Tiny Subspace
Reference 15
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Observation 5205b8f8-5a72-4753-a7aa-b4927a4cb012 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training WARP: Word-level Adversarial ReProgramming
Reference 16
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Observation 2d1c1057-972a-4ead-9425-a13a643a79c8 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 17
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Observation 4168b098-7944-412c-be82-10844964ae2e · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Distilling the Knowledge in a Neural Network
Reference 18
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Observation fa6d330f-c52d-4c5c-91e3-2bf43a08eb6c · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 19
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Observation 78772e50-0441-4ffa-92ed-6a3627115396 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W
Reference 20
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Observation fabdeda1-4538-42dd-bf7f-d96e777cc12b · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Adam: A Method for Stochastic Optimization
Reference 21
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Observation 20694219-570b-4f87-af11-587298110cb1 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Reformer: The Efficient Transformer
Reference 22
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Observation a7928e46-dd3b-4203-9cb4-31dd1af1925d · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 23
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Observation 26e960b6-3ead-40a0-bbe2-7bcee29779bb · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training J.; Blankevoort, T.; and Asano, Y
Reference 24
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Observation ca890914-af7e-4993-8224-80cda051e354 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 25
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Observation d9110df9-ad4f-4915-bf96-666ad9c581c8 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training How many degrees of freedom do we need to train deep networks: a loss landscape perspective
Reference 26
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Observation 30d1dd21-73df-4f7a-86c3-23b41b6bd2f1 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training S.; Yvon, F.; Gall \'e , M.; et al
Reference 27
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Observation 5719f4dc-b8e6-46be-839d-5cacea2eab23 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 28
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Observation b3454d66-b87f-4dc6-ad6e-ac1a2b8c915c · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 29
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Observation 963cd4db-ea28-4ba6-beae-0fe00e536335 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 30
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Observation caac4706-4262-454f-bedb-c5d91a80238a · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Prefix-Tuning: Optimizing Continuous Prompts for Generation
Reference 31
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Observation 85bcc0d9-c4a8-4783-aff6-45c4fdb8b13b · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 32
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Observation d432afda-fda1-47f2-b05f-9dd5d7ef9f64 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 33
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Observation 7eaac570-b915-4e45-9e1e-ea7b3a00e5aa · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 34
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Observation 4cbba197-ae2b-4cfe-a858-895a08b9adbd · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training F.; Cheng, K.-T.; and Chen, M.-H
Reference 35
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Observation c83febbc-78a1-4548-8894-cd45578a14c4 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 36
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Observation 520703aa-3def-4430-a34a-7a202b81d09a · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 37
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Observation b82d4a7e-6a29-486e-ba49-760cd46625f3 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 38
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Observation 085a736c-45ee-4123-a1e9-2479a82df7fc · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 39
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Observation 30cc5fd2-21bb-4715-8f60-c997d7edf5a6 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Full Parameter Fine-tuning for Large Language Models with Limited Resources
Reference 40
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Observation fce756cb-eb76-48ee-b90e-759f839ebd8d · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 41
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Observation 48d6fb39-5dae-42a7-9cf1-11c426896565 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Reference 42
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Observation 12b6b328-2023-4be5-b4fd-c8611e5dc047 · outbound
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Reference 43
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Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 44
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Observation 00a77363-0931-4fc7-b716-bb6d353c2fd2 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 45
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Observation 87bd92aa-76dd-462c-9cac-8a035a314955 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AdapterDrop: On the Efficiency of Adapters in Transformers
Reference 46
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Observation 83dd164f-6802-416d-9339-bf77ec22b640 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 47
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Observation bcbbb98e-f4ee-4838-9edd-d500c56b193e · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 48
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Observation b1c0ac83-783a-462c-889c-babe5f0a0333 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 49
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Observation 095cb70b-5d8a-48d6-80cc-877d6e3d3140 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 50
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Observation eb8aa5ed-74a0-4030-9fd7-33bba2000dd8 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 51
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Observation f743604f-12b8-420b-a41c-0cf55b0450bf · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 52
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Observation 65e4d4e5-6b03-4ed9-8bb9-29c977de77cd · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Q.; Garcia, X.; Wei, J.; Wang, X.; Chung, H
Reference 53
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Reference 54
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Gradient Weight-normalized Low-rank Projection for Efficient LLM Training LLaMA: Open and Efficient Foundation Language Models
Reference 55
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Observation dce234f8-0a1e-48b7-8551-f10a770e5a52 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Reference 56
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Observation cec5e46e-4392-4d0a-be61-32a7461e9491 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 57
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Observation 013cfe90-6c4c-4089-ac13-29e17f8e0b88 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 58
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Gradient Weight-normalized Low-rank Projection for Efficient LLM Training OPT: Open Pre-trained Transformer Language Models
Reference 59
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Observation 426e1664-c24f-4453-8ae7-70384f40d797 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 60
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Observation 5c03486c-852f-411f-ae57-06d3590d81a3 · outbound
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training Unresolved cited work
Reference 61
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Observation 059d4fc8-321e-480a-b3f2-1ea11ba969c7 · inbound
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