Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:59:11.621135Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 4 inbound Pith citation observations for arXiv:2411.08147.
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 2026-08-12T21:59:11.621135Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:44.229927Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:16:17.926450Z
100 of 112 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8a918d31-e3fc-4ea4-93b3-159d55fde0e2 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning GPT-4 Technical Report
Reference 1
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Observation 3dabd5db-0c68-4d89-b0ce-a90f2a924cb7 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 2
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Observation 509026b9-55e0-4fbc-a7a6-dd7391a07281 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 3
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Observation e88427c0-687d-4f77-b162-da7af3e8fca8 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Why Does the Effective Context Length of LLMs Fall Short?
Reference 4
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Observation 2e99b3c0-4e25-4e48-804d-41a66801d0a2 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Make Your LLM Fully Utilize the Context
Reference 5
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Observation 392585d0-a57b-4dce-af7f-0a2ec01a3c8b · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 6
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Observation 354655eb-68fe-4eed-b326-cd72f108b74f · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 7
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Observation 7d990902-ad1d-454f-bba7-970403b1daaa · outbound
Large Language Models Can Self-Improve in Long-context Reasoning LongAlign: A Recipe for Long Context Alignment of Large Language Models
Reference 8
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Observation ef285698-d967-47a1-968f-11681ce2145c · outbound
Large Language Models Can Self-Improve in Long-context Reasoning LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Reference 9
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Observation 37a5a221-87c8-41d5-87ac-b8c68c9f7bf9 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 10
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Observation ff9ab0f2-33a6-4696-829d-b45653353371 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 11
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Observation 9561d0c8-6a24-42f9-8dde-222482d790bf · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 12
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Observation 739b5958-0b73-4fcb-a02a-b9dec1801d39 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Bickel and K.A
Reference 13
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Observation 6ee08289-7d7c-4705-bc8b-60d9657628e9 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Sparks of Artificial General Intelligence: Early experiments with GPT-4
Reference 14
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Observation 7e925acf-8f64-4f92-8f8b-6df75b5f8399 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Extending Context Window of Large Language Models via Positional Interpolation
Reference 15
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Observation abf60e79-3821-40a9-a09c-04386207b308 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 16
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Observation a4c9daad-e1b8-46be-bb93-4559074dfb04 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 17
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Observation e3f0d919-6313-43fe-a42c-985bdb14ffbe · outbound
Large Language Models Can Self-Improve in Long-context Reasoning What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Reference 18
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Observation c0f5226c-65a3-43d5-ac16-74175ea3ad2b · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 19
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Observation cb5bf869-a2fb-4b9e-ac8f-3e77d9e3fcba · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Training Verifiers to Solve Math Word Problems
Reference 20
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Observation b19e1b83-3fc0-4dab-bc38-926d3911d61c · outbound
Large Language Models Can Self-Improve in Long-context Reasoning UltraFeedback: Boosting Language Models with Scaled AI Feedback
Reference 21
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Observation 5172e102-cacd-49f1-a271-3b1711b65aab · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 22
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Observation 3bd30292-d155-457a-829f-10bf187509e1 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 23
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Observation e1d38f53-668b-45bd-986e-c9910b2847a6 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning LongNet: Scaling Transformers to 1,000,000,000 Tokens
Reference 24
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Observation 6f31a60e-d1f3-4289-83f0-7e4877a4b4ff · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 25
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Observation 82d94504-c315-494a-a177-3a331dcb2e14 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning The Llama 3 Herd of Models
Reference 26
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Observation 2f3bc8b2-97fd-4d87-a5ab-3f458e140287 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 27
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Observation bb6a64d0-6233-4a37-9cab-f0f1ba3243d1 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 28
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Observation 5283bd0b-4f60-478a-b28c-5fc97fc64b0a · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Data Engineering for Scaling Language Models to 128K Context
Reference 29
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Observation 6dedd3d2-c6c3-436a-84b4-af3b8e919535 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning The Capacity for Moral Self-Correction in Large Language Models
Reference 30
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Observation e4aa1090-0d5e-4a7e-9055-d0b56a25d104 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 31
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Observation d36d4899-7809-4eb9-96de-33aa57067f44 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 32
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Observation 7f06b897-ccd0-49d1-8925-f798f58d15c4 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 33
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Observation cbe9ffd4-fc00-4b25-a7f0-dd4a1fff88b4 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Reinforced Self-Training (ReST) for Language Modeling
Reference 34
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Observation 1762ad22-dc37-428a-ae9f-d433fcae8340 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 35
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Observation 8e6aa272-51e4-4a3e-bcc2-f6ad74fac1f2 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 36
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Observation a247b1b7-f16e-4b2a-8edb-674c8601e163 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning ORPO: Monolithic Preference Optimization without Reference Model
Reference 37
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Observation a6d6cbf8-1023-4901-8447-69da31179a18 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 38
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Observation e2a5de38-6888-493c-a419-5fcd61ecccc4 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning RULER: What's the Real Context Size of Your Long-Context Language Models?
Reference 39
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Observation f9624050-6c9d-4344-8497-db53506adce2 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 40
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Observation 6e4d9a5f-68c4-4308-a50d-c58376af60d8 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 41
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Observation 8ec6703e-cebf-470d-8c86-fded145b4a81 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning GPT-4o System Card
Reference 42
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Observation d1e7c5d9-ad45-4730-bc51-95efb318188d · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Reference 43
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Observation d9273d0f-97c5-4a90-8012-f42e1105f403 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Reference 44
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Observation 61a0b5a9-cc02-46c6-8735-7f2cf0f1ad99 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
Reference 45
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Observation 9681af41-2f08-4e33-9465-f9cdd956a3ad · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 46
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Observation 6e422970-bc84-4f76-b750-a0a64c7b1626 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 47
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Observation f7e91e14-a153-4ca6-ae4d-0258bd882691 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 48
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Observation e1156245-d11f-4974-8b38-d32615c8ab4c · outbound
Large Language Models Can Self-Improve in Long-context Reasoning One Thousand and One Pairs: A "novel" challenge for long-context language models
Reference 49
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Observation dee2e371-e6d9-44ea-b8c6-79b428defc9d · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 50
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Observation 974ba318-2539-4414-b5e1-112525dfc358 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 51
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Observation 80d4dc1a-5b77-48b6-aaac-edb217397620 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Training Language Models to Critique With Multi-agent Feedback
Reference 52
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Observation 3d6373db-0923-4f5f-9efe-8e4f21f093b4 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning CriticEval: Evaluating Large Language Model as Critic
Reference 53
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Observation 4b3ca501-514d-45b2-83b9-9f6d138490f3 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 54
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Observation 7a299b91-40f2-4427-8bc4-791eb3b56e0f · outbound
Large Language Models Can Self-Improve in Long-context Reasoning ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering
Reference 55
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Observation c0cf0d74-be64-45e6-8750-e41c703122c1 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 56
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Observation 6523ec48-8509-49ad-9b5a-729520146a8e · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 57
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Observation 419a9974-5a29-4d11-9bb9-7c1c9b52e551 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Jamba: A Hybrid Transformer-Mamba Language Model
Reference 58
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Observation c9bac916-d2b2-4e8a-b2e6-7e0ae6134fe3 · outbound
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Reference 59
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Reference 60
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Observation 55bd8efa-d946-469d-b6eb-e6601d1c8245 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 61
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Observation f50ed608-6eb8-44e8-ac3a-1a6efb078d9f · outbound
Large Language Models Can Self-Improve in Long-context Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 62
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Observation 23363eee-02df-4ebb-b7e9-31e27ad75bbb · outbound
Large Language Models Can Self-Improve in Long-context Reasoning AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Reference 63
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Observation fd1b14dc-e64d-4505-ae7b-375c3626dd73 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 64
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 65
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 66
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 67
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
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Reference 73
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 74
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
Reference 75
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Observation f3d1d7b9-e80b-4e5b-8aec-746b9671f09d · outbound
Large Language Models Can Self-Improve in Long-context Reasoning jina-embeddings-v3: Multilingual Embeddings With Task LoRA
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Observation 03d9c865-d3ed-4065-b639-a14223410df7 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning You Only Cache Once: Decoder-Decoder Architectures for Language Models
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
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Observation 134e0421-c1f6-4e5e-ba9a-305ad9b52663 · outbound
Large Language Models Can Self-Improve in Long-context Reasoning Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
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Large Language Models Can Self-Improve in Long-context Reasoning HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Reference 97
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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work
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Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning Large Language Models Can Self-Improve in Long-context Reasoning
Reference 59
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Reference 44
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