Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:24:22.892118Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2510.05544.
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 2026-08-04T11:24:22.892118Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
47 of 47 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d0d1e160-f787-46b2-afe4-f8a51f0335e3 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM online" 'onlinestring :=
Reference 1
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Observation 23cf64ab-08b4-41ef-b90c-59bdf871df09 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM write newline
Reference 2
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Observation 26055cd8-d25c-4d06-8d58-0e321548f1a3 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Mistral 7B
Reference 3
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Observation 01ead0a4-d3a7-48ff-91d0-9d526fa35d4d · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Reference 4
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Observation 37254611-fdc5-4e0e-a81b-beed6637e605 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 5
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Observation 6f6cbfb9-1845-4a85-9545-6078845efc2f · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM On the Opportunities and Risks of Foundation Models
Reference 6
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Observation 5915bfd0-278b-46c1-8818-b3b7aa512b4e · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 7
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Observation 3d75ceda-b2b3-4db8-a238-4363314d5442 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 8
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Observation 15bfa6ff-cc10-4066-9e3a-67d416f632a2 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 9
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Observation d611f6db-f5e3-4bf3-a043-eda22c7c7661 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 10
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Observation dc117cc0-8f7c-4e3e-94a1-dbcfbac4d388 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Reference 11
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Observation a06c3700-f30e-40f3-a845-17c56f1e760b · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 12
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Observation 3068a465-8887-469d-b294-a199d14cc643 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Reference 13
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Observation d5e534a4-2568-4718-bbb8-63f13ca98782 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Reference 14
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Observation cf68e53c-eddd-44f6-9f4c-2494f8a2daba · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 15
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Observation faaf3980-222b-4a1b-98d9-24e0d1f89cf2 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 16
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Observation 0491c477-269c-4f5f-be83-e6e376313134 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 17
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Observation 6436b2bf-bc3f-459d-b28d-18e6596a5c3d · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 18
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Observation 831bdf68-bba5-4bd6-9ddb-8d5b3e23fd77 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 19
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Observation 71a184b7-2e2e-4ea8-a850-e70025a403e8 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 20
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Observation 998a8e79-a273-4208-b430-f2ea706474c1 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 21
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Observation efad20e0-6edd-4c0b-934b-b81dc26700c0 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 22
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Observation 9c1aee6c-75f4-4d73-8489-eebf697546ba · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 23
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Observation 29c8c2d7-ed2a-4609-8bc0-4e1936135af8 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM LLM-Pruner: On the Structural Pruning of Large Language Models
Reference 24
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Observation dd5fba71-c122-4447-971f-22107578d000 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Reference 25
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Observation d0b3db6a-66d4-4651-9442-dc2e472aa5a0 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Pointer Sentinel Mixture Models
Reference 26
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Observation 0e151229-f9a6-45bb-83ef-8738029c65ab · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 27
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Observation c158114e-2690-48b3-a559-83ad1bf5393c · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 28
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Observation 6c145c5d-fe36-4490-92fd-08b455b798a9 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Carbon Emissions and Large Neural Network Training
Reference 29
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Observation 464363f7-6a38-4324-8c22-5a00dcf44e52 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 30
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Observation 86957d4d-8a68-48ac-881b-5cebba608541 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 31
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Observation 894b8610-9548-4554-92cd-971f6a247c15 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 32
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Observation df40e1eb-f8a9-425d-a0bb-37f7a1155d47 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 33
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Observation a13b23e6-ed76-4c8e-9e9f-fe1bed11f83d · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Mahoney, and Kurt Keutzer
Reference 34
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Observation f48310f8-a7e8-45d8-addc-985332470042 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 35
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Observation 651382d6-febf-457e-b5e2-192e0cfd0f89 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 36
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Observation c482d799-f41d-4f88-983a-dd3f0097fb70 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 37
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Observation e0755647-4706-43cf-afa0-299059b67953 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 38
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Observation 5833e74b-8834-4595-b485-0799f052f2a3 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 39
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Observation 1dd0ac82-2cb9-4bb1-a0d6-dc25f29c9c4a · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Gomez, ukasz Kaiser, and Illia Polosukhin
Reference 40
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Observation 820982c6-6508-4cf5-b934-5af21ad676c3 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 41
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Observation b7f2ea23-d96e-423f-8e5d-98f8cb8bc2eb · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Reference 42
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Observation f97a5a90-c2d8-4344-89b5-7ea64585848b · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM High spin axion insulator
Reference 43
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Observation 6f18ac0c-2eff-4346-8fd9-94fb847f3974 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Reference 44
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Observation 03ff2d04-3bcd-45f3-bd00-6955ff09faf7 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
Reference 45
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Observation 4fbb4f1b-58fb-40f3-a95f-c82277e4c714 · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 46
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Observation 4ecd1c22-32c2-4c3a-a3e9-dd8df5632dab · outbound
Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM Unresolved cited work
Reference 47
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No inbound Pith citation observations are available.