Paper Citation Record · LEDGER

NExtLong: Toward Effective Long-Context Training without Long Documents

As of 18 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 5 inbound Pith citation observations for arXiv:2501.12766.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.12766 v2

Coverage vector

measured 100 of 117 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:52:49.881585Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:09.996269Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T11:17:24.563972Z

Reference resolution

100 of 117 outbound references displayed

verified exact2
verified fuzzy7
unresolved91
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8ae1682-3c40-4687-a630-b011c5e2c9a5 · outbound

This paper cites Many-Shot In-Context Learning.

NExtLong: Toward Effective Long-Context Training without Long Documents Many-Shot In-Context Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.596261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef92d5aa-ab39-4f31-8643-62951e46d8bf · outbound

This paper cites Yi: Open foundation models by 01.ai, 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Yi: Open foundation models by 01.ai, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.599116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec82821e-59b9-4268-a165-a7757384fe65 · outbound

This paper cites M., Neyshabur, B., and Zhai, X.

NExtLong: Toward Effective Long-Context Training without Long Documents M., Neyshabur, B., and Zhai, X

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.601633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3783d258-7d66-4799-b8cb-242a19435443 · outbound

This paper cites Training-Free Long-Context Scaling of Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents Training-Free Long-Context Scaling of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.604307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b417ecd5-918b-45ef-a074-782e32c56f70 · outbound

This paper cites Many-shot jailbreaking.

NExtLong: Toward Effective Long-Context Training without Long Documents Many-shot jailbreaking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.607236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07b44178-b8f0-465e-b75f-c2976d39b72d · outbound

This paper cites an unresolved cited work.

NExtLong: Toward Effective Long-Context Training without Long Documents Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.610063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3904a4a-e84d-4761-9527-a968441afa4c · outbound

This paper cites and Lempitsky, V.

NExtLong: Toward Effective Long-Context Training without Long Documents and Lempitsky, V

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.612786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a766e8d3-1417-404c-b18c-dc00bde38027 · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.615464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ebb1a4-f872-41d9-a115-c915e5d26d6a · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

NExtLong: Toward Effective Long-Context Training without Long Documents LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.618678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b76c459-c5ed-4732-afba-1b8ff64cbaa7 · outbound

This paper cites Codeplan: Repository-level coding using llms and planning.

NExtLong: Toward Effective Long-Context Training without Long Documents Codeplan: Repository-level coding using llms and planning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.621755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a44e6632-6b02-4616-b9d7-6a5dcfe9324d · outbound

This paper cites Smollm-corpus, 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Smollm-corpus, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.624687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b70d8eb-f91c-48c7-a662-edec16b9cd5e · outbound

This paper cites and LeCun, Y.

NExtLong: Toward Effective Long-Context Training without Long Documents and LeCun, Y

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.627468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2da1e6e3-832c-4efe-8489-cb87fe6f1226 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

NExtLong: Toward Effective Long-Context Training without Long Documents In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.630273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbcd98db-3ab5-4344-9f77-7e4fc31a0133 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

NExtLong: Toward Effective Long-Context Training without Long Documents DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.634603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3f9f1bc-6061-4d09-b14b-0967a2b00c40 · outbound

This paper cites G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M.

NExtLong: Toward Effective Long-Context Training without Long Documents G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.637843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598f7e81-aec7-4508-83b7-ee3e75952e1a · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

NExtLong: Toward Effective Long-Context Training without Long Documents Piqa: Reasoning about physical commonsense in natural language

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.640604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad28309-b0af-4b6a-a967-9a8f025aa474 · outbound

This paper cites Peek across: Improving multi-document modeling via cross-document question-answering.

NExtLong: Toward Effective Long-Context Training without Long Documents Peek across: Improving multi-document modeling via cross-document question-answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.643163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88be9cc-dcf6-4e41-b2bd-2648398b65c6 · outbound

This paper cites Resolving the imbalance issue in hierarchical disciplinary topic inference via llm-based data augmentation.

NExtLong: Toward Effective Long-Context Training without Long Documents Resolving the imbalance issue in hierarchical disciplinary topic inference via llm-based data augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.645836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fdc6626-4477-4d76-b0dc-b27a5289afda · outbound

This paper cites CLEX: Continuous Length Extrapolation for Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents CLEX: Continuous Length Extrapolation for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.648565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7304842d-9c25-478e-8b0f-2d9e08e7aba0 · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents Extending Context Window of Large Language Models via Positional Interpolation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.651533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13da2df-cfe2-4191-ae01-62b044db974f · outbound

This paper cites Incremental False Negative Detection for Contrastive Learning.

NExtLong: Toward Effective Long-Context Training without Long Documents Incremental False Negative Detection for Contrastive Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.654524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d71abe2e-6f35-4f4b-8360-3188ae0c8af1 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.657576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac55ebb-5eed-4fcc-b41b-b55ae99c9ecd · outbound

This paper cites Language Models as Science Tutors.

NExtLong: Toward Effective Long-Context Training without Long Documents Language Models as Science Tutors

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.660461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64fb3737-ecca-4717-8d7c-77917eebca21 · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.663362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb4f1c2c-c51a-4b11-9265-d25e99141dda · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

NExtLong: Toward Effective Long-Context Training without Long Documents FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.666210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511ee546-b07c-4fd5-82c8-e0679dd3465e · outbound

This paper cites Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model, 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model, 2024

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.668962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8afd3d6d-faa3-4021-8457-4d6d2ac0588b · outbound

This paper cites Fewer truncations improve language modeling.

NExtLong: Toward Effective Long-Context Training without Long Documents Fewer truncations improve language modeling

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.671609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 108b24ad-0d6a-4d4e-90e1-15314906cff0 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

NExtLong: Toward Effective Long-Context Training without Long Documents Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.674195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762099b0-450b-4b28-a9ca-52d373fc15ba · outbound

This paper cites The Llama 3 Herd of Models.

NExtLong: Toward Effective Long-Context Training without Long Documents The Llama 3 Herd of Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.676823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2964de3-5c80-4fef-843a-4412e1b95952 · outbound

This paper cites O., Hart, P.

NExtLong: Toward Effective Long-Context Training without Long Documents O., Hart, P

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.679652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e10fbb-9019-43e8-962a-ff2634938633 · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents Data Engineering for Scaling Language Models to 128K Context

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.681924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa4a2af-350f-4345-ae4f-8cece78bd100 · outbound

This paper cites Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model.

NExtLong: Toward Effective Long-Context Training without Long Documents Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.684394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f16e7b-eaed-4cdc-a00c-9ab2404259b7 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

NExtLong: Toward Effective Long-Context Training without Long Documents The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.687471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecc9ea48-3fab-483a-9850-07d03379ff00 · outbound

This paper cites How to train long-context language models (effectively).

NExtLong: Toward Effective Long-Context Training without Long Documents How to train long-context language models (effectively)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.690352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9bfb5a-1d8f-48ae-aff6-c7f609c6f012 · outbound

This paper cites Deep learning, volume 1.

NExtLong: Toward Effective Long-Context Training without Long Documents Deep learning, volume 1

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.692952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380909dd-b631-41ed-ac72-bc7edd35b795 · outbound

This paper cites Retrieval augmented language model pre-training.

NExtLong: Toward Effective Long-Context Training without Long Documents Retrieval augmented language model pre-training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.696012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f90e41c-179f-4239-9296-8d1b5e1491c4 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.698721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09505fc-3b04-49c7-8867-4413fb92b92d · outbound

This paper cites Measuring Massive Multitask Language Understanding.

NExtLong: Toward Effective Long-Context Training without Long Documents Measuring Massive Multitask Language Understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.701550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d4597f3-7373-4045-a5cc-3db81c221f26 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

NExtLong: Toward Effective Long-Context Training without Long Documents Scaling Laws for Autoregressive Generative Modeling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.704664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2382c3-c54c-4c74-a721-12e032519888 · outbound

This paper cites E., Osindero, S., and Teh, Y.

NExtLong: Toward Effective Long-Context Training without Long Documents E., Osindero, S., and Teh, Y

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.707589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def041a3-b0ad-4389-b601-a299c4a07578 · outbound

This paper cites Training Compute-Optimal Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents Training Compute-Optimal Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.710294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba128b55-5878-480b-ac9e-cbf96b1fec11 · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.713153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edebc2f-17b2-44bb-b871-e6875b46cd1a · outbound

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

NExtLong: Toward Effective Long-Context Training without Long Documents Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.716088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce720dd9-6067-4225-9cf1-349f28ad3a1c · outbound

This paper cites Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG.

NExtLong: Toward Effective Long-Context Training without Long Documents Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.718953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb940a89-586e-4315-b614-922cfaec16d4 · outbound

This paper cites Llm maybe longlm: Self-extend llm context window without tuning, 2024 b.

NExtLong: Toward Effective Long-Context Training without Long Documents Llm maybe longlm: Self-extend llm context window without tuning, 2024 b

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.721963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0fd8472-b10c-436f-901a-587dcfe507f6 · outbound

This paper cites Understanding the effects of language-specific class imbalance in multilingual fine-tuning.

NExtLong: Toward Effective Long-Context Training without Long Documents Understanding the effects of language-specific class imbalance in multilingual fine-tuning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.724847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b86255-52ec-4763-b0cd-8ff13f1cd786 · outbound

This paper cites B., Pion, N., Weinzaepfel, P., and Larlus, D.

NExtLong: Toward Effective Long-Context Training without Long Documents B., Pion, N., Weinzaepfel, P., and Larlus, D

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.727703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaea3f9b-36d6-49b7-92dd-a7c9faf3cf45 · outbound

This paper cites Scaling Laws for Neural Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents Scaling Laws for Neural Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.730470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f00387-35bd-45ac-a33e-387b2d27b890 · outbound

This paper cites F., and Ramakrishnan, R.

NExtLong: Toward Effective Long-Context Training without Long Documents F., and Ramakrishnan, R

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.733534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75cbb18a-ae66-4dc5-9e8a-30e0546ebeaf · outbound

This paper cites an unresolved cited work.

NExtLong: Toward Effective Long-Context Training without Long Documents Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.736077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0315e77-57ff-496d-afa3-af0eb05494de · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

NExtLong: Toward Effective Long-Context Training without Long Documents The Stack: 3 TB of permissively licensed source code

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.738727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33455ace-2951-4073-9d23-21d5da625b67 · outbound

This paper cites Crafting papers on machine learning.

NExtLong: Toward Effective Long-Context Training without Long Documents Crafting papers on machine learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.741630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67259b43-c288-4cd9-88f8-db1048e9fd6e · outbound

This paper cites S., Yvon, F., Gall \'e , M., et al.

NExtLong: Toward Effective Long-Context Training without Long Documents S., Yvon, F., Gall \'e , M., et al

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.744131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60eacaa4-c011-4097-bc00-9c2edf7c902f · outbound

This paper cites The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design.

NExtLong: Toward Effective Long-Context Training without Long Documents The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.746561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efbd360-56d0-449b-9ed2-5ef69d0d0a80 · outbound

This paper cites u ttler, H., Lewis, M., Yih, W.-t., Rockt \.

NExtLong: Toward Effective Long-Context Training without Long Documents u ttler, H., Lewis, M., Yih, W.-t., Rockt \

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.749394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a902c6a-73af-46a8-9f56-d24a860efe74 · outbound

This paper cites Functional Interpolation for Relative Positions Improves Long Context Transformers.

NExtLong: Toward Effective Long-Context Training without Long Documents Functional Interpolation for Relative Positions Improves Long Context Transformers

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.751740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d83144d2-1bf8-41ee-84a0-225e65017feb · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.754619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb8ded2-0c1d-4086-aca4-63dadbac0a58 · outbound

This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.

NExtLong: Toward Effective Long-Context Training without Long Documents World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.757307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49441af-a9a2-41f1-aa27-c946f7615cd5 · outbound

This paper cites LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning.

NExtLong: Toward Effective Long-Context Training without Long Documents LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.760124Z

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Observation 7d814e29-aac4-4e04-8f28-f752da1f4228 · outbound

This paper cites Decoupled Weight Decay Regularization.

NExtLong: Toward Effective Long-Context Training without Long Documents Decoupled Weight Decay Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.763213Z

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Observation a3236e0b-e274-4afb-8fc9-d7a3205fac85 · outbound

This paper cites Fineweb-edu, May 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Fineweb-edu, May 2024

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.766364Z

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Observation fe6d6e35-b7e6-473a-89bb-72eb8eb2fa15 · outbound

This paper cites Learning passage impacts for inverted indexes.

NExtLong: Toward Effective Long-Context Training without Long Documents Learning passage impacts for inverted indexes

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.769219Z

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Observation 873dbf4f-fad0-4c84-aed0-d1538d325e6d · outbound

This paper cites and Liu, B.

NExtLong: Toward Effective Long-Context Training without Long Documents and Liu, B

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.772089Z

Source-reported events for the cited work

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Observation d09e2b34-1770-448a-acd2-735c740246aa · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Introducing meta llama 3: The most capable openly available llm to date, 2024

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.774963Z

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Observation d19d97c5-34d2-4fca-bcce-b21f9202bb57 · outbound

This paper cites S., Carbonell, J.

NExtLong: Toward Effective Long-Context Training without Long Documents S., Carbonell, J

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.777844Z

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Observation 7768ffa1-ad0c-49eb-a762-975947208f82 · outbound

This paper cites an unresolved cited work.

NExtLong: Toward Effective Long-Context Training without Long Documents Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.780519Z

Source-reported events for the cited work

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Observation 46d83723-8b22-4624-baee-3717e079833a · outbound

This paper cites and Rosenbloom, P.

NExtLong: Toward Effective Long-Context Training without Long Documents and Rosenbloom, P

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.783405Z

Source-reported events for the cited work

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Observation ad86d884-2cb2-4678-8f49-0eab00173228 · outbound

This paper cites Document Expansion by Query Prediction.

NExtLong: Toward Effective Long-Context Training without Long Documents Document Expansion by Query Prediction

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.786336Z

Source-reported events for the cited work

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Observation 2792de7c-82df-4926-a951-62f47a88274e · outbound

This paper cites GPT-4 Technical Report.

NExtLong: Toward Effective Long-Context Training without Long Documents GPT-4 Technical Report

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.789274Z

Source-reported events for the cited work

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Observation 20e8d39d-7f00-4235-87a0-b8935d354b5e · outbound

This paper cites Training language models to follow instructions with human feedback.

NExtLong: Toward Effective Long-Context Training without Long Documents Training language models to follow instructions with human feedback

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.793338Z

Source-reported events for the cited work

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Observation bd3fd6e0-61eb-4b64-86ab-c2ca03e46a07 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

NExtLong: Toward Effective Long-Context Training without Long Documents The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.796342Z

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Observation 111ca4d8-84d9-4467-b4a8-7058be393f07 · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

NExtLong: Toward Effective Long-Context Training without Long Documents OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.799535Z

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Observation 4658dd33-4243-4d1e-92d6-03e97b3974ad · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents YaRN: Efficient Context Window Extension of Large Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.802483Z

Source-reported events for the cited work

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Observation 76c77de0-f723-4676-969d-872242b9c1df · outbound

This paper cites Improving language understanding by generative pre-training.

NExtLong: Toward Effective Long-Context Training without Long Documents Improving language understanding by generative pre-training

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.805557Z

Source-reported events for the cited work

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Observation bd943460-5dce-42b8-bb44-fe9dd660b12f · outbound

This paper cites an unresolved cited work.

NExtLong: Toward Effective Long-Context Training without Long Documents Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.808368Z

Source-reported events for the cited work

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Observation d48ddb90-ea9a-4d9a-9578-30827b4a637b · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

NExtLong: Toward Effective Long-Context Training without Long Documents Zero: Memory optimizations toward training trillion parameter models

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.811224Z

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Observation 6bedb4a9-9893-4519-ad16-5a5f5bf00d63 · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

NExtLong: Toward Effective Long-Context Training without Long Documents Contrastive Learning with Hard Negative Samples

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.813895Z

Source-reported events for the cited work

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Observation a210bede-9715-4da9-92de-6fdb2ef66552 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

NExtLong: Toward Effective Long-Context Training without Long Documents Code Llama: Open Foundation Models for Code

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.817410Z

Source-reported events for the cited work

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Observation 7820db58-1300-4ff6-b1aa-261ef793e1d2 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

NExtLong: Toward Effective Long-Context Training without Long Documents Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.820648Z

Source-reported events for the cited work

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Observation 6919cf99-db81-404c-a474-334b9235cffd · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

NExtLong: Toward Effective Long-Context Training without Long Documents L., Bhagavatula, C., and Choi, Y

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.824058Z

Source-reported events for the cited work

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Observation e4ebea3b-00c9-43ae-a172-28c1c62a66c5 · outbound

This paper cites an unresolved cited work.

NExtLong: Toward Effective Long-Context Training without Long Documents Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:52:50.601550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f36bbba1-6f0c-45f2-81be-d497e46ffee8 · outbound

This paper cites H., Sch \"a rli, N., and Zhou, D.

NExtLong: Toward Effective Long-Context Training without Long Documents H., Sch \"a rli, N., and Zhou, D

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.592746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8672f83-f6bf-4502-baf1-c61c0f9622df · outbound

This paper cites In-context Pretraining: Language Modeling Beyond Document Boundaries.

NExtLong: Toward Effective Long-Context Training without Long Documents In-context Pretraining: Language Modeling Beyond Document Boundaries

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.832757Z

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Observation 9d00f2de-e8e2-440a-ba4c-2f944ad14301 · outbound

This paper cites R., Hestness, J., and Dey, N.

NExtLong: Toward Effective Long-Context Training without Long Documents R., Hestness, J., and Dey, N

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.835313Z

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Observation c658b6fc-b89e-4a89-b928-bdbd76b383ac · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

NExtLong: Toward Effective Long-Context Training without Long Documents Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.837695Z

Source-reported events for the cited work

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Observation 95e98ca3-b90c-4735-919f-e68b48da28cd · outbound

This paper cites Unraveling the Mystery of Scaling Laws: Part I.

NExtLong: Toward Effective Long-Context Training without Long Documents Unraveling the Mystery of Scaling Laws: Part I

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.840436Z

Source-reported events for the cited work

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Observation 6973dcef-bb11-43f6-a1f5-da94b8ecfd97 · outbound

This paper cites Rectified rotary position embeddings.

NExtLong: Toward Effective Long-Context Training without Long Documents Rectified rotary position embeddings

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.578353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0576dd2-76e7-4439-a759-1d46675e5bd1 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding, 2021.

NExtLong: Toward Effective Long-Context Training without Long Documents Roformer: Enhanced transformer with rotary position embedding, 2021

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.569475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ccd1e5f-90a2-4157-8659-4c307700c6de · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

NExtLong: Toward Effective Long-Context Training without Long Documents Qwen2.5: A party of foundation models, September 2024

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.849185Z

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Observation 70cc8a88-2e52-4715-9330-6bdf65767ab9 · outbound

This paper cites Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:52:50.182205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35e519c5-c2f7-4a48-9c4a-6a3dd00a3fad · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

NExtLong: Toward Effective Long-Context Training without Long Documents LLaMA: Open and Efficient Foundation Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.854942Z

Source-reported events for the cited work

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Observation 4617071d-0497-4297-8e80-f3535433745a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

NExtLong: Toward Effective Long-Context Training without Long Documents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.858072Z

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Observation 2cfe92fa-969c-4db3-a504-c19cd265f158 · outbound

This paper cites Focused transformer: Contrastive training for context scaling.

NExtLong: Toward Effective Long-Context Training without Long Documents Focused transformer: Contrastive training for context scaling

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.556095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9016387-c687-4aa8-a474-8750aec6a482 · outbound

This paper cites and Hinton, G.

NExtLong: Toward Effective Long-Context Training without Long Documents and Hinton, G

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.864269Z

Source-reported events for the cited work

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Observation 18cdf622-fb3e-4cee-8bbe-7ce20167c6de · outbound

This paper cites A survey on large language model based autonomous agents.

NExtLong: Toward Effective Long-Context Training without Long Documents A survey on large language model based autonomous agents

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.542667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57957cc3-6561-4abb-b3a6-b72cac500fed · outbound

This paper cites Query-as-context Pre-training for Dense Passage Retrieval.

NExtLong: Toward Effective Long-Context Training without Long Documents Query-as-context Pre-training for Dense Passage Retrieval

Reference 97

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:52:50.156728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a58715eb-3b72-417d-8e33-021e29c0753c · outbound

This paper cites Contextual masked auto-encoder for dense passage retrieval.

NExtLong: Toward Effective Long-Context Training without Long Documents Contextual masked auto-encoder for dense passage retrieval

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.534405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5133502f-36cc-4dc9-96d0-a39b4837f685 · outbound

This paper cites Less is More for Long Document Summary Evaluation by LLMs.

NExtLong: Toward Effective Long-Context Training without Long Documents Less is More for Long Document Summary Evaluation by LLMs

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.875532Z

Source-reported events for the cited work

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Observation 1960fb80-c0c4-426d-abb0-9d2023308396 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

NExtLong: Toward Effective Long-Context Training without Long Documents Efficient Streaming Language Models with Attention Sinks

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.878420Z

Source-reported events for the cited work

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Observation fcfb9f50-dc73-4812-aaad-74c207584e1f · outbound

This paper cites M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P.

NExtLong: Toward Effective Long-Context Training without Long Documents M., Pham, H., Dong, X., Du, N., Liu, H., Lu, Y., Liang, P

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:52:50.525607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 48b4e371-f0c5-4084-92ef-69e093ce72b9 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 253

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.431950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3a1a969-801d-4be4-91d7-b2e5e67ff30b · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:17:24.567598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5722cbe-bd39-4a3e-ae62-3e775887f637 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:09.996269Z

Source-reported events for the cited work

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Observation 136bcd82-410a-4977-9243-58df5a5f1f00 · inbound

Libra: Large Chinese-based Safeguard for AI Content cites this paper.

Libra: Large Chinese-based Safeguard for AI Content NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:17:38.656970Z

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Observation ae8b22b1-d0f9-41cb-8a37-1b0031b7fe89 · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T14:50:10.939315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.