Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-18T02:43:30.851915Z
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 53 inbound Pith citation observations for arXiv:2303.09540.
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 2026-05-18T02:43:30.851915Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:20:18.864970Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T03:05:54.898931Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation fbbaf43a-42d7-42a1-9153-fcf769dc874e · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Deep Learning Scaling is Predictable, Empirically
Reference 1
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Observation eddd037d-29d9-4c1f-aa04-64c3abfeec7c · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Laws for Neural Language Models
Reference 2
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Observation 04ac98cc-c2ef-4394-b8f8-adedc883d169 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Laws for Autoregressive Generative Modeling
Reference 3
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Observation fe7e26a0-72cc-4de6-aed5-68c99aec58e5 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 4
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Observation f8ee2e64-1b42-4583-a6a3-bb3f6b6d983e · outbound
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Reference 5
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Observation 4f7956d5-30d3-4bdc-a97a-4cafcd4111a4 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Laws for Transfer
Reference 6
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Observation 92127002-de8e-4a05-a473-dd172a74731b · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Vision Transformers
Reference 7
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Observation b9fcbaf5-5361-4f22-b31a-8a9fb04123ae · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Training Compute-Optimal Large Language Models
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Observation 9b06290b-8bf0-4b03-8d58-eeb8336b1542 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Radford, J
Reference 10
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Observation 49382cbf-c36c-40b7-861c-c6d92d655d57 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Ilharco, M
Reference 11
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Observation 4ee0f99b-0c8a-4725-b376-5ae32e847e59 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Laws for Generative Mixed-Modal Language Models
Reference 12
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Observation 7e6391a8-47f3-46d3-935a-9937fb41a99a · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Sorscher, R
Reference 13
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Observation 4ecb5562-ebcf-4ef4-94a6-a306928f8503 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Reference 14
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Observation 212b4a2c-9dc4-4c3a-81d1-bfb77ddc6895 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Feldman and C
Reference 15
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Observation cb691896-08bb-416c-9c6f-7849020269ac · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 16
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Observation cb40eb35-0bee-4a9b-b580-41c1472faa89 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Thomee, D
Reference 17
Source-reported events for the cited work
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Observation 95cb8fc8-526f-452b-974f-fcea895aa607 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Reference 18
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Observation 1215d54e-47e0-45d4-be76-76f8ea86d9ce · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 20
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Observation 9cbee578-f996-4883-a3b1-854a6b011109 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 21
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Observation e2b7a3c8-f4b2-4687-98b0-ec217425aba5 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Deduplicating Training Data Mitigates Privacy Risks in Language Models
Reference 22
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Observation ddd6b781-2c34-4d49-84ed-578ef8776976 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Silcock, L
Reference 23
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Observation a05ca3fa-0728-4ea0-91aa-d7db3f24a2e8 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Choi, D.-S
Reference 24
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Observation 9be7c67a-0906-446a-9795-72a88e2d5781 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 25
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Observation 25da8f1f-86ee-439a-8908-934f09fb5cd6 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 26
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Observation 49aabebd-4d26-4307-a6dc-2b22a25c6172 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Toneva, A
Reference 27
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Observation 0ec7ba31-4032-42e2-b230-e4689252b933 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 28
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Observation a4db4bfe-f73d-4aea-8c5d-131b6a52482a · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Chitta, J
Reference 29
Source-reported events for the cited work
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Observation c20a0248-8826-4576-bfca-b6a1bb6b35e2 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Meding, L
Reference 30
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Observation 2bb7a542-0053-41e1-bd2f-5d1d34a3da84 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Radford, J
Reference 31
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Observation ab09c90c-ca7b-4bf0-b2d9-b879472102fa · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication OPT: Open Pre-trained Transformer Language Models
Reference 32
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Observation 091c23c2-de76-4a8e-9d6e-7a6febe8b33c · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 33
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Observation f05fd2a2-c021-45a3-ba80-f642ef162a4b · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication LAION-5B: An open large-scale dataset for training next generation image-text models
Reference 34
Source-reported events for the cited work
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Observation 34c60957-c447-4157-a0eb-bfde02f75fec · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 35
Source-reported events for the cited work
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Observation 3c85f498-2a22-4638-8696-82be58802e2d · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Vaswani, N
Reference 36
Source-reported events for the cited work
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Observation 9e9b0568-156a-4472-8a24-0f86c97e5754 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Decoupled Weight Decay Regularization
Reference 37
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Observation 84e0b3de-1ce5-4d5c-a42a-9ee85c38e37a · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Hendrycks, K
Reference 38
Source-reported events for the cited work
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Observation c3c23342-f23c-4b55-b2e9-63560c84c994 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Hendrycks, S
Reference 39
Source-reported events for the cited work
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Observation 7c500fe9-c3f4-4fd2-9f3d-57118e2afffc · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Unresolved cited work
Reference 40
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Observation 058f8a7d-34b5-4e8d-9c6c-bc839f570ca5 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Recht, R
Reference 41
Source-reported events for the cited work
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Observation 23b92a66-b16d-4b00-b070-1a07645c7ade · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Barbu, D
Reference 42
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Observation ed33ab4b-c15c-46a9-8b8b-2576f9ca0438 · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication Deduplicating Training Data Makes Language Models Better
Reference 43
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Observation 29bdad5d-433f-4eec-bbac-4775631e3b2f · outbound
SemDeDup: Data-efficient learning at web-scale through semantic deduplication OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
Reference 44
Source-reported events for the cited work
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Observation 7a654118-a066-45ff-801b-85b2abf1a3ce · inbound
Demystifying CLIP Data SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 23
Source-reported events for the cited work
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Observation 56603f20-79b0-4fbe-825b-073ce33b7e26 · inbound
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Observation eb1926ce-29fb-4140-9034-5f0997793082 · inbound
DataComp-LM: In search of the next generation of training sets for language models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Source-reported events for the cited work
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Observation 0e70f842-e46f-40ce-ba63-ef807efa0db2 · inbound
NVILA: Efficient Frontier Visual Language Models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 25
Source-reported events for the cited work
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Observation b9eddad2-76cb-4889-99c8-a678007a23f1 · inbound
Cosmos World Foundation Model Platform for Physical AI SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Observation e0795f52-1851-4ac4-af42-a314ead5094a · inbound
Visual Compositional Tuning SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Observation 7ceb9955-1eff-422b-bdc5-bdbbd660508a · inbound
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation abf23093-d4ad-4e32-b2da-982c4241e377 · inbound
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Observation bda9249e-cc91-4adf-8d95-7b7126f08580 · inbound
From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Source-reported events for the cited work
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Observation 22f8f90b-1709-44f4-ae2e-c6d3cb420cde · inbound
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 2024
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Observation 7b1d06e5-1a62-44b3-9566-c19ce246a926 · inbound
Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 52
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Observation a578da8f-7bdf-432b-b468-a9c935287318 · inbound
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Observation db87846b-ce37-4318-8e2e-29ac50f1256c · inbound
GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Source-reported events for the cited work
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Observation 6a076bfc-d7e4-4297-9cae-ce3c43c2bed7 · inbound
OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Observation a5ceac82-a63d-4ee4-b4d7-01ff14cf9f1f · inbound
Dependency-Guided Repository-Level C-to-Rust Translation with Reinforcement Alignment SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 3
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Observation c0043179-7b28-40b5-a8d4-f1c3219614ee · inbound
Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Observation bbdaaea8-69c8-46ff-8bf7-fc72cb93678f · inbound
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation 7c133f93-81b5-47d2-baea-1979faef2fcf · inbound
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation SemDeDup: Data-efficient learning at web-scale through semantic deduplication
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Source-reported events for the cited work
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Observation 8f10cd03-abb9-42b5-80e8-66aa52fc159f · inbound
OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation 1c4321e5-fa04-4f6d-9cc4-11c37ca767b4 · inbound
Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 34
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Observation a6e2f7e2-49a6-48d9-8a63-e0936aca0c7d · inbound
Dynamic Cluster Data Sampling for Efficient and Long-Tail-Aware Vision-Language Pre-training SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 34
Source-reported events for the cited work
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Observation 52482ce6-60e6-4f05-ae26-7fb125db894b · inbound
Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation e739ec78-41bb-458d-af55-dcea0c82baad · inbound
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 48
Source-reported events for the cited work
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Observation 882241d9-2a3a-442a-b73f-d76712b90320 · inbound
Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 98168528-4398-4209-bf99-3e97ed42533e · inbound
Merlin: Deterministic Byte-Exact Deduplication for Lossless Context Optimization in Large Language Model Inference SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 8
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Observation c020a851-11bd-4fae-b922-8f8a56233559 · inbound
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation cf391306-1819-4edd-a43c-fff9af88bcfe · inbound
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d0531286-0e3e-4904-8937-38e1a997ae38 · inbound
From Instance Selection to Fixed-Pool Data Recipe Search for Supervised Fine-Tuning SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33138ea3-0324-430c-bd94-425776252452 · inbound
SEED: Targeted Data Selection by Weighted Independent Set SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation 4f95897e-e80e-49dd-a12b-95bcd04d0e16 · inbound
Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c86244a-8bc4-4c27-ac94-d3f2b5c137e0 · inbound
Learning-Zone Energy: Online Data Selection for Efficient RL Post-Training SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
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Observation 9c6d314d-864c-4065-b193-0b4734d71f3d · inbound
Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 11
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab06eb7a-cf7b-4681-9a08-ada2a9a0f2d0 · inbound
FOLD: Fuzzy Online Deduplication for Very Large Evolving Datasets via Approximate Nearest Neighbor Search SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 14
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27be32af-fdc8-4748-aee9-1921639968fc · inbound
CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1264c3d-cdd0-4af4-83f9-8a2e5250c371 · inbound
Spectral DPPs via NEPv: A Scalable Continuous Relaxation of Determinantal MAP for Diversity-Aware Data Selection SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 37c3e924-37df-4d94-8be3-fe6c85b4240d · inbound
Spectral DPPs via NEPv: A Scalable Continuous Relaxation of Determinantal MAP for Diversity-Aware Data Selection SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 2
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Unavailable: canonical work link unavailable.
Observation fc999ce1-5ff3-4498-acad-934b39329afa · inbound
Data Selection Through Iterative Self-Filtering for Vision-Language Settings SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 198
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 343c1e77-656d-4b42-b7c4-be5481a6c922 · inbound
Internal Data Repetition Destroys Language Models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 8
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fc002790-8709-48f1-a8be-0407e7d4a515 · inbound
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 219
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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c28c49e0-8801-47b1-bd2c-b8f6a024ef55 · inbound
DataComp-VLM: Improved Open Datasets for Vision-Language Models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e93af41-3080-4578-a7da-f416cd7b35bc · inbound
DataComp-VLM: Improved Open Datasets for Vision-Language Models SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bd0cdebc-125f-4f48-9fbe-23c03c040cf9 · inbound
Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 17
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Unavailable: canonical work link unavailable.
Observation 0af70ae9-48db-4b46-8b74-70a17fe2b2df · inbound
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa346b65-ce5d-4cf2-8fad-8c632312ac05 · inbound
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Unavailable: canonical work link unavailable.
Observation b95a5126-7051-43c7-bcff-f81e33897d1f · inbound
SFGA: A Statistics-First Gating Architecture with Adjudicative Escalation for Trustworthy SFT Data Procurement SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Unavailable: canonical work link unavailable.
Observation a0d384c3-d9b3-4fee-b3c9-81cbd79ea600 · inbound
ERank in Latent Space as an Image-Complexity and Richness Measure SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 27
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Unavailable: canonical work link unavailable.
Observation eaa89fd6-bc11-4481-9074-7021985d5ca2 · inbound
Efficient Clustering with Provable Guardrails for LLM Inference at Scale SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe94ea21-d860-4b77-917d-e67234c7ae7a · inbound
Quantifying Political Partisanship for Cross-Platform Analyses SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 102
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Unavailable: canonical work link unavailable.
Observation 07fc7818-d002-450e-8dad-7a3a2fe0cb40 · inbound
CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 29
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Unavailable: canonical work link unavailable.
Observation ae45f9b0-e326-4c0e-a994-8fac5c950c0f · inbound
Test-Time Coverage: Test-Conditioned Data Curation for Deployment-Aware Learning SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 1
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Unavailable: canonical work link unavailable.
Observation 5a638c42-bf40-419d-b036-6f1bd6e4af2b · inbound
The Cost of Knowing: A Resource-Aware Protocol for Benchmarking Hallucination Beyond Static Leaderboards SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 15
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Observation 72e12bea-8f70-47bf-b73b-7a04007c8e71 · inbound
Cross-Attention Calibrated Deduplication for Retrieval-Augmented Generation System SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 25
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Observation 42e4ad28-8321-4542-88aa-779814434f49 · inbound
DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Reference 34
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