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Paper Citation Record · LEDGER

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2505.17134.

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

pith.paper-citation-record.v1
2505.17134 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:04.051135Z

measured 46 of 46 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:17:38.653512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T06:55:59.880351Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f71f7928-87e9-420b-920b-a4cd1d8178fd · outbound

This paper cites GPT-4 Technical Report.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-07T15:07:59.025858Z digest=sha256:00aeebf094059ff463efaab235c340f503b5d7fd439d5a5ca0e2d774ea0a32b8

Observation cf300691-52ca-4c7f-b8b3-9169b5129640 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

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source=pdf_text observed=2026-08-07T15:07:59.276138Z digest=sha256:bb88c5466a1162d1b94a40aea3c25dc31f371c7d9d294ce64d6fed1ca1e6a9f7

Observation f0bbac7c-ad94-457c-843d-9bca92b33172 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LongAlign: A Recipe for Long Context Alignment of Large Language Models

Reference 4

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source=pdf_text observed=2026-08-07T15:07:59.399446Z digest=sha256:d59dc63c1dbdd84d7fdbc3ee747ebca9ddec5eb346913439af35dc1cb60f4aff

Observation 489e40cc-41b3-4ad0-bcfa-be93f2e790ce · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:07:59.511437Z digest=sha256:1cbed3c3b890b3f5d857d3b10319e6fe465cf7e89a56d5125101a51600f96068

Observation 1ad9d8cd-c9ed-4d31-a520-a98cd211c749 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 7

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source=pdf_text observed=2026-08-07T15:07:59.737679Z digest=sha256:2a31b77f6b1912366b134ad0148a420d539f9e819080977936dbdaea8d7dc09d

Observation d6c2b3b6-863e-48c9-ace2-3d795997c769 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions RLHF Workflow: From Reward Modeling to Online RLHF

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:07:59.827943Z digest=sha256:72619066cb339af65748eb362ce9fededa1cc0349288537c64d98f2ef2562ae5

Observation cebd21a9-06ed-4db2-a8cb-c6812fe52fcd · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 10

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source=pdf_text observed=2026-08-07T15:08:00.101399Z digest=sha256:ed93ed6ede82d5d48655fbfcadd21ce9618954e3d7bdd3099e729c5adcad8574

Observation 7bb5f909-fea2-481e-a1e7-ece5f5305121 · outbound

This paper cites Gemini model updates: March 2025, March.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Gemini model updates: March 2025, March

Reference 12

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raw_fallback, observed 2026-08-07T15:08:06.786446Z

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.

source=pdf_text observed=2026-08-07T15:08:00.372240Z digest=sha256:40ea9229ab52aca60d4f029ff2475c8ea764d936a6b5d537bf857f36811a30a8

Observation 7a96c6d3-822e-475c-a321-5b4359d37928 · outbound

This paper cites The Llama 3 Herd of Models.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions The Llama 3 Herd of Models

Reference 13

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source=pdf_text observed=2026-08-07T15:08:00.483718Z digest=sha256:1b736bc291b8c91d88b08ff68fa29a382f2da5c4d20739b6cd0cb0b249c7603b

Observation 3b20cd10-0e0f-4b04-b89a-8fe3b37a8af4 · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions REALM: Retrieval-Augmented Language Model Pre-Training

Reference 14

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source=pdf_text observed=2026-08-07T15:08:00.617096Z digest=sha256:3dbea8281cd426b084641944232c51d77b77a5e07bea989456737494a3b7ea5f

Observation ea7da8c3-7085-4eef-a330-5cbaefed4778 · outbound

This paper cites Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Reference 16

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source=pdf_text observed=2026-08-07T15:08:00.924421Z digest=sha256:3c2b8328194fcc712c7ed8ff43102a4e179d874db0586a2a8567760e1d53be4b

Observation eec80e6f-0a15-4253-a048-0271898c3806 · outbound

This paper cites A Parallel Beam Splitting Based on Gradient Metasurface: Preparation and Fusion of Quantum Entanglement.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions A Parallel Beam Splitting Based on Gradient Metasurface: Preparation and Fusion of Quantum Entanglement

Reference 18

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local_arxiv, observed 2026-08-07T15:08:05.544478Z

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.

source=pdf_text observed=2026-08-07T15:08:01.145091Z digest=sha256:3c1314266ee1c1a8cce1d8c04840f7f0c785db50583b188d0da96825230865c3

Observation 564c4f55-6158-44a5-93b9-a4b773fcee3f · outbound

This paper cites Longform: Optimizing instruction tuning for long text generation with corpus extraction.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Longform: Optimizing instruction tuning for long text generation with corpus extraction

Reference 19

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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.

source=pdf_text observed=2026-08-07T15:08:01.234052Z digest=sha256:0a9ce1d3063d942dc14fb5c1e1a3a84eba8357b9fb1e671141fa3363fbc9dec1

Observation 17493b2b-a5a4-43ba-96aa-e052761674ab · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 20

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source=pdf_text observed=2026-08-07T15:08:01.313369Z digest=sha256:476bed5634f03b556d65c7c88bf7c30fba6f4bc32da16b50be876223749a423e

Observation ec0fa2b8-00f5-47c1-92a2-f2e344fc4838 · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 21

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source=pdf_text observed=2026-08-07T15:08:01.395403Z digest=sha256:f4008e428bb96311ef7c721593266d7381c12cd1aa185a0c67edbe65d9766f1c

Observation 155e01d0-5e6c-4a54-baa5-985dfba1aee5 · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Self-Alignment with Instruction Backtranslation

Reference 23

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source=pdf_text observed=2026-08-07T15:08:01.577328Z digest=sha256:35e1fce7b2e105e61111777ec919dbd49451e13f639e61747eca5e4093434027

Observation 76c88992-f3d3-4f82-91b1-133488080fb0 · outbound

This paper cites DeepSeek-V3 Technical Report.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions DeepSeek-V3 Technical Report

Reference 24

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source=pdf_text observed=2026-08-07T15:08:01.647091Z digest=sha256:c7aa952ac18d3eb5081b77dc0bf6b042e223017ce2d04a89adf570f484532a38

Observation 1f304799-d110-47a1-8936-78a49adc4a8f · outbound

This paper cites Decoupled Weight Decay Regularization.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Decoupled Weight Decay Regularization

Reference 25

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source=pdf_text observed=2026-08-07T15:08:01.725198Z digest=sha256:6c060ac643fc909edc9b497180bfe7e82ba437d8e040ee4752261d6802551b02

Observation 9222cb3a-45bd-40ee-90c2-72cef8244d6a · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 26

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source=pdf_text observed=2026-08-07T15:08:01.824164Z digest=sha256:47c87bff73d6eddf108bb67416b013450ca334f26261ffd80a751b1753cfffdb

Observation 1a9d113a-dbdd-43c3-a74b-37f3a68e9f5c · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 28

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source=pdf_text observed=2026-08-07T15:08:02.094426Z digest=sha256:a08b3a7c172f011c34fa2dbda3068357c6147f2894ef770b4217ef8e9a0ff0c2

Observation 7b3cd697-fc6e-4203-a892-7895a819b213 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Code Llama: Open Foundation Models for Code

Reference 29

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source=pdf_text observed=2026-08-07T15:08:02.251463Z digest=sha256:e3da25dec981ab011ab7497efb7ec7eab400e2271e71eb67c001c52dbb20e030

Observation 9e06abd8-7c70-49a0-a9d6-7203803adab8 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions In-context Pretraining: Language Modeling Beyond Document Boundaries

Reference 31

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source=pdf_text observed=2026-08-07T15:08:02.498031Z digest=sha256:a68edcef4902b3f2dd3a11424f6a21a9ae182657b0bcf3c536cfc1ae37c2e68b

Observation 0531e2ea-058e-4b93-bb2b-3f3e08ba9218 · outbound

This paper cites Gateau: Selecting influential sample for long context alignment.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Gateau: Selecting influential sample for long context alignment

Reference 32

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raw_fallback, observed 2026-08-07T15:08:05.075764Z

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.

source=pdf_text observed=2026-08-07T15:08:02.698559Z digest=sha256:61eb9eb6b936f641cefc9fadb137a386628d8fe42ef961bae41fd5b369bceb76

Observation f479fa4b-ba0c-47ba-9006-a594b6f468fa · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 33

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source=pdf_text observed=2026-08-07T15:08:02.801408Z digest=sha256:cc045c32d79dcc93bd57a67028f6b884328c40db855014cbfba3cf0842a71a7b

Observation 79d35bba-8f2c-4e60-86ea-f926bffb6ac9 · outbound

This paper cites LOGO -- Long cOntext aliGnment via efficient preference Optimization.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LOGO -- Long cOntext aliGnment via efficient preference Optimization

Reference 34

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local_arxiv, observed 2026-08-07T15:08:04.773496Z

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.

source=pdf_text observed=2026-08-07T15:08:02.955264Z digest=sha256:e48e1ab72538ca6ec0fe290702fea92d5c135c1ab69be94f9d3e7cb596c2f89f

Observation a773283f-6251-4832-814c-90e047c3932f · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 35

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source=pdf_text observed=2026-08-07T15:08:03.107205Z digest=sha256:fd5c4cdbfee53f75dd8bb0d3f26ff54a08e107a2880d641fad4359a4b59760f7

Observation d71414f3-aa4e-485c-8d16-c4001856f554 · outbound

This paper cites A quantum spectrometer using a pair of phase-controlled spatial light modulators for superresolution in quantum sensing.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions A quantum spectrometer using a pair of phase-controlled spatial light modulators for superresolution in quantum sensing

Reference 36

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local_arxiv, observed 2026-08-07T15:08:04.606830Z

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.

source=pdf_text observed=2026-08-07T15:08:03.248513Z digest=sha256:60d8d32e48d6aea28e0d3c10a98677714c116a7527318893aaf955d7eecaa94f

Observation 851b06f4-b59c-495d-9f46-2a190db517d2 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 38

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source=pdf_text observed=2026-08-07T15:08:03.507597Z digest=sha256:fc332215750d2f3970b064fc0ae2aaa675543dc01de8c6e87f32c806c135fb31

Observation ac372b97-7aa7-4b73-a546-883bb3bd8fc3 · outbound

This paper cites Effective Long-Context Scaling of Foundation Models.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Effective Long-Context Scaling of Foundation Models

Reference 39

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source=pdf_text observed=2026-08-07T15:08:03.619535Z digest=sha256:780c35e64ac2c1b67c3643b135879865b01d6ae8483fd8ddad65f20a6cc31098

Observation 0d1bbac9-71b9-436d-85da-038b4b192d36 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 40

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source=pdf_text observed=2026-08-07T15:08:03.764893Z digest=sha256:0eb40d26ac46ec934c81603597aa75ad59a82865dfda9be7410e8f85b92c5e59

Observation dccbf8eb-8590-4c6e-aa21-f4f08098a747 · outbound

This paper cites Letter frequency vs factor frequency in pure morphic words.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Letter frequency vs factor frequency in pure morphic words

Reference 41

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metadata mismatch
local_arxiv, observed 2026-08-07T15:08:04.357585Z

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.

source=pdf_text observed=2026-08-07T15:08:03.822006Z digest=sha256:2e964a00ab3c7eba24c6ba875915dc7fea0c7ef81d061c27fd56820f478235d3

Observation 6f83538e-8430-42d7-962a-c728b2d92ff8 · outbound

This paper cites Metamath: Bootstrap your own mathematical questions for large language models.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Metamath: Bootstrap your own mathematical questions for large language models

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T15:08:06.312017Z

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.

source=pdf_text observed=2026-08-07T15:08:03.878127Z digest=sha256:f5f903c3c6df49ad0ac46ba7a02dbddd3a09bbb9a4cc6003e1eb1ed9e9d58195

Observation 0b49eabd-5ba3-467a-bb45-44a2496d6970 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 43

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source=pdf_text observed=2026-08-07T15:08:03.923132Z digest=sha256:830da3c75d541ba16885ad87332b0acac64200acaceafd90971dfdba80e02e98

Observation 97ea1a5c-cf8a-4790-8a2d-04c3a4548379 · outbound

This paper cites Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 45

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source=pdf_text observed=2026-08-07T15:08:04.051135Z digest=sha256:dd8a19624f20560e7964e5c98d3216ee5d13d1c8a9c0c7ce9bd7101009791c1a

Observation c6d444ee-b520-44d2-b464-e353955d9d3d · outbound

This paper cites Bootstrap Your Own Context Length.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Bootstrap Your Own Context Length

Reference 2008

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source=pdf_text observed=2026-08-07T15:08:03.360245Z digest=sha256:402ed4e14836b6ccdf273c2d8a549d991af5c56cf7a5a222dff5354bc9aa6cca

Observation 112b6c32-88b7-47dc-8b90-09639993ebb8 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions YaRN: Efficient Context Window Extension of Large Language Models

Reference 2016

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Observation c1cb0440-14d2-4524-b2cc-08e77daff6f8 · outbound

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 2018

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Observation 5eac65fc-499a-4ab9-ae64-4d2af8ab00bd · outbound

This paper cites BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation

Reference 2019

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 2020

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Observation 0135ac66-aaa4-45bb-95e7-08c1eb7893d3 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 2021

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This paper cites Dissipation-induced bound states as a two-level system.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Dissipation-induced bound states as a two-level system

Reference 2022

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This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 2023

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LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Data Engineering for Scaling Language Models to 128K Context

Reference 2024

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2025

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Pith citing papers

Observation 4bc8e66d-7568-4640-bbb0-a56f2761026b · inbound

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

Libra: Large Chinese-based Safeguard for AI Content LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

Reference 7

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Observation 08d6ee09-9f0b-4997-adf9-dd7c549db227 · inbound

PolicyLong: Towards On-Policy Context Extension cites this paper.

PolicyLong: Towards On-Policy Context Extension LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

Reference 4

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