Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:12:39.145675Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2505.05327.
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 2026-08-15T23:12:39.145675Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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
90 of 90 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection GPT-4 Technical Report
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Observation f5c326ee-28f4-4f9d-ba52-79046a613e15 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection A Survey on Data Selection for Language Models
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Data Diversity Matters for Robust Instruction Tuning
Reference 3
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Instruction Mining: Instruction Data Selection for Tuning Large Language Models
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Reference 5
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection AlpaGasus: Training A Better Alpaca with Fewer Data
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Large Language Model for Science: A Study on P vs. NP
Reference 12
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Observation 4d0f7236-36c3-4fc8-8530-80d3ff3ef2f2 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection A Survey on In-context Learning
Reference 13
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Observation 63f11647-b396-495f-b43d-811fea273590 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection MoDS: Model-oriented Data Selection for Instruction Tuning
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Observation faa5277a-c06f-4335-aee7-adee7f33d009 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 15
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Observation a73ff247-19cc-4a0a-a228-8391d26e3a75 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
Reference 16
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Observation 89a8ce83-3be8-45e4-8adf-3fd96bcc8c28 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 17
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Observation 9c0a76c3-2098-4e4f-a4ce-88d07762ab38 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection The Llama 3 Herd of Models
Reference 18
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Observation 66b9d336-d6a9-40b2-b5c3-9e2214d2b7d9 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 19
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Observation 638ac45a-4c4c-48b8-84e0-9a1823d212e8 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 20
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Observation 1f160d64-1e72-4064-b628-117ebb2a9a36 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
Reference 21
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Observation 8aae2c85-a410-4095-a8b6-e9b29f5c08ef · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Measuring Massive Multitask Language Understanding
Reference 22
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Observation 274a9e3d-8836-4c93-97df-00b4aafc877b · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection LoRA: Low-Rank Adaptation of Large Language Models
Reference 23
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Observation 8b19eb5a-b1ed-4b4e-b86d-51b4443c117c · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection GPT-4o System Card
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Observation e36c28f5-9124-47e8-9600-cfeb7aa3413d · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 25
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Observation 77a240b9-b37b-4ab1-a5cc-c808ed2ee27f · outbound
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Reference 26
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Observation 984c3634-7ef7-4c1f-8bb9-90b624d07bee · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 27
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Observation 2f9e863a-9499-4a66-a9f3-309762a3e73d · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 28
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Observation 4eb4f3ea-2ccc-4d3c-90d4-e8e65a614ad6 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Adam: A Method for Stochastic Optimization
Reference 29
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Observation a45fe65a-971b-40a6-88f8-6c68c470df42 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection o pf, Yannic Kilcher, Dimitri Von R \
Reference 30
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Observation 9585d641-07c0-4d6d-a5af-36926916e6a5 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 31
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Observation 945aeba8-af43-43cd-9a35-8f1927ad9e6d · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
Reference 32
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Observation f97c4c13-5626-4237-81fb-db9720d797f0 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 33
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Observation 1932b0a6-d289-4e7f-8b05-3e771f63f7ca · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
Reference 34
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Observation 3738e0cb-a10b-4fa2-afcf-cb98ade8e090 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Hashimoto
Reference 35
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Observation fb0d58bb-1895-47e8-ae72-8b1c2dab14d4 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection One-Shot Learning as Instruction Data Prospector for Large Language Models
Reference 36
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Observation bac71c52-6c56-454d-812c-918a6e997319 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 37
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Observation a90277f8-257d-47b9-b9ec-6aa1894849b0 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 38
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Observation 61ccaff4-400f-488d-96e6-8d4cdc00d5e9 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
Reference 40
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Observation 92df57d4-0a25-4a8e-8b4a-2fbb1bfbf471 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Reference 41
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Observation dc205ad5-cc87-4cb6-9226-8aebb10f1427 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang
Reference 42
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Reference 43
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Observation 8508daa3-73fa-45b1-942c-0a51483f64c4 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 44
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Observation 2a11c1d2-d05a-418e-9d11-0160d0997a35 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Reference 45
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection In-context Learning with Retrieved Demonstrations for Language Models: A Survey
Reference 46
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Reference 47
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Reference 48
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
Reference 49
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Reference 50
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Observation 85339d18-b535-44c2-9b95-c0fccfe15ab8 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 51
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Observation 309ca5f2-7ad2-4736-a26b-949df69951a1 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Chatterji, Faisal Ladhak, and Tatsunori Hashimoto
Reference 52
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Observation 41958aec-42c1-4d19-abc4-64c44ef6fdf9 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection West-of-N: Synthetic Preferences for Self-Improving Reward Models
Reference 53
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation
Reference 54
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Reference 55
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Reference 56
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Reference 57
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 58
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
Reference 59
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Reference 60
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Reference 61
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 62
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 63
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 64
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Reference 65
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Koala: An Index for Quantifying Overlaps with Pre-training Corpora
Reference 67
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Large Language Models are not Fair Evaluators
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Shepherd: A Critic for Language Model Generation
Reference 70
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data
Reference 71
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Perplexity from PLM Is Unreliable for Evaluating Text Quality
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Self-Instruct: Aligning Language Models with Self-Generated Instructions
Reference 73
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Reference 75
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection LESS: Selecting Influential Data for Targeted Instruction Tuning
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Reference 77
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Reference 78
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Reference 79
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Reference 81
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Reference 82
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 83
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Observation 887df879-e716-48ce-bac4-242293fdfb35 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection RECOST: External Knowledge Guided Data-efficient Instruction Tuning
Reference 85
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Can We Edit Factual Knowledge by In-Context Learning?
Reference 86
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection LIMA: Less Is More for Alignment
Reference 87
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RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Unresolved cited work
Reference 88
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Observation 59b0f2b4-20e0-47c0-b241-c78ab00b6f75 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection Instruction-Following Evaluation for Large Language Models
Reference 89
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Observation 961ad368-92a1-415d-9c13-da40c9d55c93 · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection online" 'onlinestring :=
Reference 90
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Observation 64c27ee1-595b-4c26-92a6-2ffa908191da · outbound
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection write newline
Reference 91
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No inbound Pith citation observations are available.