Paper Citation Record · LEDGER

Large Language Models Can Self-Improve in Long-context Reasoning

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.

pith.paper-citation-record.v1
2411.08147 v1

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:59:11.621135Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:44.229927Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T18:16:17.926450Z

Reference resolution

100 of 112 outbound references displayed

verified exact1
verified fuzzy0
unresolved99
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a918d31-e3fc-4ea4-93b3-159d55fde0e2 · outbound

This paper cites GPT-4 Technical Report.

Large Language Models Can Self-Improve in Long-context Reasoning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.306537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dabd5db-0c68-4d89-b0ce-a90f2a924cb7 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.311066Z

Source-reported events for the cited work

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Observation 509026b9-55e0-4fbc-a7a6-dd7391a07281 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.314878Z

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Observation e88427c0-687d-4f77-b162-da7af3e8fca8 · outbound

This paper cites Why Does the Effective Context Length of LLMs Fall Short?.

Large Language Models Can Self-Improve in Long-context Reasoning Why Does the Effective Context Length of LLMs Fall Short?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.318494Z

Source-reported events for the cited work

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Observation 2e99b3c0-4e25-4e48-804d-41a66801d0a2 · outbound

This paper cites Make Your LLM Fully Utilize the Context.

Large Language Models Can Self-Improve in Long-context Reasoning Make Your LLM Fully Utilize the Context

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.322583Z

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Observation 392585d0-a57b-4dce-af7f-0a2ec01a3c8b · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.326458Z

Source-reported events for the cited work

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Observation 354655eb-68fe-4eed-b326-cd72f108b74f · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.330307Z

Source-reported events for the cited work

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Observation 7d990902-ad1d-454f-bba7-970403b1daaa · outbound

This paper cites LongAlign: A Recipe for Long Context Alignment of Large Language Models.

Large Language Models Can Self-Improve in Long-context Reasoning LongAlign: A Recipe for Long Context Alignment of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.333514Z

Source-reported events for the cited work

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Observation ef285698-d967-47a1-968f-11681ce2145c · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Large Language Models Can Self-Improve in Long-context Reasoning LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.337185Z

Source-reported events for the cited work

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Observation 37a5a221-87c8-41d5-87ac-b8c68c9f7bf9 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.340595Z

Source-reported events for the cited work

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Observation ff9ab0f2-33a6-4696-829d-b45653353371 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.343731Z

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Observation 9561d0c8-6a24-42f9-8dde-222482d790bf · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.346733Z

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Observation 739b5958-0b73-4fcb-a02a-b9dec1801d39 · outbound

This paper cites Bickel and K.A.

Large Language Models Can Self-Improve in Long-context Reasoning Bickel and K.A

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.349631Z

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Observation 6ee08289-7d7c-4705-bc8b-60d9657628e9 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Large Language Models Can Self-Improve in Long-context Reasoning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.352448Z

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Observation 7e925acf-8f64-4f92-8f8b-6df75b5f8399 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Large Language Models Can Self-Improve in Long-context Reasoning Extending Context Window of Large Language Models via Positional Interpolation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.355767Z

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Observation abf60e79-3821-40a9-a09c-04386207b308 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.359164Z

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Observation a4c9daad-e1b8-46be-bb93-4559074dfb04 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.362368Z

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Observation e3f0d919-6313-43fe-a42c-985bdb14ffbe · outbound

This paper cites What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.365346Z

Source-reported events for the cited work

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Observation c0f5226c-65a3-43d5-ac16-74175ea3ad2b · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Large Language Models Can Self-Improve in Long-context Reasoning Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.368436Z

Source-reported events for the cited work

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Observation cb5bf869-a2fb-4b9e-ac8f-3e77d9e3fcba · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Large Language Models Can Self-Improve in Long-context Reasoning Training Verifiers to Solve Math Word Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.371647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b19e1b83-3fc0-4dab-bc38-926d3911d61c · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Large Language Models Can Self-Improve in Long-context Reasoning UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.374842Z

Source-reported events for the cited work

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Observation 5172e102-cacd-49f1-a271-3b1711b65aab · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.377998Z

Source-reported events for the cited work

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Observation 3bd30292-d155-457a-829f-10bf187509e1 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.381347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d38f53-668b-45bd-986e-c9910b2847a6 · outbound

This paper cites LongNet: Scaling Transformers to 1,000,000,000 Tokens.

Large Language Models Can Self-Improve in Long-context Reasoning LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.384267Z

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Observation 6f31a60e-d1f3-4289-83f0-7e4877a4b4ff · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.387537Z

Source-reported events for the cited work

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Observation 82d94504-c315-494a-a177-3a331dcb2e14 · outbound

This paper cites The Llama 3 Herd of Models.

Large Language Models Can Self-Improve in Long-context Reasoning The Llama 3 Herd of Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.390488Z

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Observation 2f3bc8b2-97fd-4d87-a5ab-3f458e140287 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.393791Z

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Observation bb6a64d0-6233-4a37-9cab-f0f1ba3243d1 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.396861Z

Source-reported events for the cited work

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Observation 5283bd0b-4f60-478a-b28c-5fc97fc64b0a · outbound

This paper cites Data Engineering for Scaling Language Models to 128K Context.

Large Language Models Can Self-Improve in Long-context Reasoning Data Engineering for Scaling Language Models to 128K Context

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.399879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dedd3d2-c6c3-436a-84b4-af3b8e919535 · outbound

This paper cites The Capacity for Moral Self-Correction in Large Language Models.

Large Language Models Can Self-Improve in Long-context Reasoning The Capacity for Moral Self-Correction in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.403148Z

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Observation e4aa1090-0d5e-4a7e-9055-d0b56a25d104 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.406956Z

Source-reported events for the cited work

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Observation d36d4899-7809-4eb9-96de-33aa57067f44 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.409930Z

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Observation 7f06b897-ccd0-49d1-8925-f798f58d15c4 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.413071Z

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Observation cbe9ffd4-fc00-4b25-a7f0-dd4a1fff88b4 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Large Language Models Can Self-Improve in Long-context Reasoning Reinforced Self-Training (ReST) for Language Modeling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.415869Z

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Observation 1762ad22-dc37-428a-ae9f-d433fcae8340 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.418981Z

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Observation 8e6aa272-51e4-4a3e-bcc2-f6ad74fac1f2 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.421706Z

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Observation a247b1b7-f16e-4b2a-8edb-674c8601e163 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Large Language Models Can Self-Improve in Long-context Reasoning ORPO: Monolithic Preference Optimization without Reference Model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.424607Z

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Observation a6d6cbf8-1023-4901-8447-69da31179a18 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.427457Z

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Observation e2a5de38-6888-493c-a419-5fcd61ecccc4 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.430548Z

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Observation f9624050-6c9d-4344-8497-db53506adce2 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.433714Z

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Observation 6e4d9a5f-68c4-4308-a50d-c58376af60d8 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.436778Z

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Unavailable: canonical work link unavailable.

Observation 8ec6703e-cebf-470d-8c86-fded145b4a81 · outbound

This paper cites GPT-4o System Card.

Large Language Models Can Self-Improve in Long-context Reasoning GPT-4o System Card

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.439591Z

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Observation d1e7c5d9-ad45-4730-bc51-95efb318188d · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Large Language Models Can Self-Improve in Long-context Reasoning Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.442695Z

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Observation d9273d0f-97c5-4a90-8012-f42e1105f403 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.445695Z

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Observation 61a0b5a9-cc02-46c6-8735-7f2cf0f1ad99 · outbound

This paper cites SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses.

Large Language Models Can Self-Improve in Long-context Reasoning SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.449089Z

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Observation 9681af41-2f08-4e33-9465-f9cdd956a3ad · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.452296Z

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Observation 6e422970-bc84-4f76-b750-a0a64c7b1626 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.455500Z

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Observation f7e91e14-a153-4ca6-ae4d-0258bd882691 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.458498Z

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Observation e1156245-d11f-4974-8b38-d32615c8ab4c · outbound

This paper cites One Thousand and One Pairs: A "novel" challenge for long-context language models.

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

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.461492Z

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Observation dee2e371-e6d9-44ea-b8c6-79b428defc9d · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.464840Z

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Observation 974ba318-2539-4414-b5e1-112525dfc358 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.468356Z

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Observation 80d4dc1a-5b77-48b6-aaac-edb217397620 · outbound

This paper cites Training Language Models to Critique With Multi-agent Feedback.

Large Language Models Can Self-Improve in Long-context Reasoning Training Language Models to Critique With Multi-agent Feedback

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-12T21:59:12.006873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d6373db-0923-4f5f-9efe-8e4f21f093b4 · outbound

This paper cites CriticEval: Evaluating Large Language Model as Critic.

Large Language Models Can Self-Improve in Long-context Reasoning CriticEval: Evaluating Large Language Model as Critic

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.474773Z

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Observation 4b3ca501-514d-45b2-83b9-9f6d138490f3 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.478016Z

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Observation 7a299b91-40f2-4427-8bc4-791eb3b56e0f · outbound

This paper cites ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering.

Large Language Models Can Self-Improve in Long-context Reasoning ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.481767Z

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Observation c0cf0d74-be64-45e6-8750-e41c703122c1 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.485205Z

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Observation 6523ec48-8509-49ad-9b5a-729520146a8e · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.488339Z

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Observation 419a9974-5a29-4d11-9bb9-7c1c9b52e551 · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Large Language Models Can Self-Improve in Long-context Reasoning Jamba: A Hybrid Transformer-Mamba Language Model

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.491299Z

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Observation c9bac916-d2b2-4e8a-b2e6-7e0ae6134fe3 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.494523Z

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Observation 9c5982ca-cfa1-44a6-a9bc-4b0342e10c9a · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.497467Z

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Observation 55bd8efa-d946-469d-b6eb-e6601d1c8245 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.500312Z

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Observation f50ed608-6eb8-44e8-ac3a-1a6efb078d9f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

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

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

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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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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This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 68

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 69

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Observation c155a58d-f7ab-4080-a6b3-6b509dc9c0e9 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 70

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 71

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Observation a4cb839f-9b51-4a5b-b4e7-7eda387fc184 · outbound

This paper cites Self-Consistency Preference Optimization.

Large Language Models Can Self-Improve in Long-context Reasoning Self-Consistency Preference Optimization

Reference 72

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

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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Large Language Models Can Self-Improve in Long-context Reasoning jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 76

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Observation 03d9c865-d3ed-4065-b639-a14223410df7 · outbound

This paper cites You Only Cache Once: Decoder-Decoder Architectures for Language Models.

Large Language Models Can Self-Improve in Long-context Reasoning You Only Cache Once: Decoder-Decoder Architectures for Language Models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.548817Z

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Observation bfe10510-beba-4749-9495-cdcf59f3ea56 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 78

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Observation 8695dbf8-44fe-4b26-9dbd-d773b3462f48 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 79

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Observation 134e0421-c1f6-4e5e-ba9a-305ad9b52663 · outbound

This paper cites Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.

Large Language Models Can Self-Improve in Long-context Reasoning Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries

Reference 80

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Observation 64c024f7-d61d-4c4c-8722-3fa84c0defe3 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Don't Throw Away Data: Better Sequence Knowledge Distillation

Reference 81

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Observation dc8741a5-ada9-4872-bbdc-76dbf92c8c9d · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 82

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Observation de30b7c5-5679-486c-a051-ddd988b49aac · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Reference 83

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Observation 99c7ef06-162a-4d9a-b0d1-46cea58f70bd · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 84

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Observation 753c194b-dda0-4d9b-91d0-754ca68d1748 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 85

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Observation 3a4fa418-b8e5-415b-b1e6-4b23aa46a164 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 86

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Observation 22abef6c-9cfc-44f0-b731-2d1cc6444caa · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 87

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Observation 551fa1df-4c13-47e4-9416-7b02612eb989 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Better Instruction-Following Through Minimum Bayes Risk

Reference 88

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 89

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Observation 05541181-61bf-495c-838c-87fe1e1a4d1b · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 90

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Observation 044160ba-4ce3-40b1-827c-ce5b0a79c113 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 91

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Observation 89cb1edf-e351-4791-b2b6-19e5ed6efd87 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Qwen2 Technical Report

Reference 92

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Observation dfc4cb05-ce2c-40c7-86a4-e125bbc03f1b · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 93

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Observation c691c278-1685-4eeb-944b-0d6daf410905 · outbound

This paper cites an unresolved cited work.

Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 94

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Observation 9d542e08-3b47-4884-bfbc-f8c883a8cbe7 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Differential Transformer

Reference 95

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Observation dddbd108-437b-4dcf-b9d2-f8b4ed5c62e5 · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Long-Context Language Modeling with Parallel Context Encoding

Reference 96

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Observation 06ea400d-30db-4d2d-8789-57870e1c5112 · outbound

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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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Reference 98

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Observation 105b7cf0-29dd-43b9-b7be-8532f1d9909c · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 99

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Observation 9b78972c-dfa9-4f06-8527-be2c5c428ded · outbound

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Large Language Models Can Self-Improve in Long-context Reasoning Unresolved cited work

Reference 100

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Pith citing papers

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Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning cites this paper.

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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Observation 14a587b3-fe87-4db8-9ebb-748a1039dd17 · inbound

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models cites this paper.

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models Large Language Models Can Self-Improve in Long-context Reasoning

Reference 68

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Observation 27c72fba-56b9-40bb-9cb5-9c63d6cf06fd · inbound

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability cites this paper.

CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability Large Language Models Can Self-Improve in Long-context Reasoning

Reference 16

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Observation 1725a611-9fe4-4818-aec8-d5fc573dd06a · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Large Language Models Can Self-Improve in Long-context Reasoning

Reference 44

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