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Paper Citation Record · LEDGER

Bootstrap Your Own Context Length

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 4 inbound Pith citation observations for arXiv:2412.18860.

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

pith.paper-citation-record.v1
2412.18860 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:28:39.160943Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:03.360245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T23:53:27.886466Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 607f73ca-8156-49f2-b841-acdb15dbcb69 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Bootstrap Your Own Context Length Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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no resolver link, observed 2026-08-11T04:28:38.326221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.326221Z digest=sha256:cd462958ea247e97e42de5adf30d29daa59b3bc5357c83af07445d3d53075443

Observation 9e5d440d-4477-49fb-b7ae-794295488224 · outbound

This paper cites Make Your LLM Fully Utilize the Context.

Bootstrap Your Own Context Length Make Your LLM Fully Utilize the Context

Reference 2

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no resolver link, observed 2026-08-11T04:28:38.333790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.333790Z digest=sha256:469a4e9ae1b2748163f580d605e317d0357e5880e7e822cf249191ef463779bc

Observation b6ff7cc3-cec9-4a3f-8ff5-28c15e032666 · outbound

This paper cites Infinity-instruct.

Bootstrap Your Own Context Length Infinity-instruct

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:40.007404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.339940Z digest=sha256:4c7137d4b142f5bbcad2b11c8c39c70e6d6eb42cb79062aa5ba0991a4f8d9f51

Observation 08492b22-f9c8-4751-8c83-8615685d5ace · outbound

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

Bootstrap Your Own Context Length LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 4

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no resolver link, observed 2026-08-11T04:28:38.347290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.347290Z digest=sha256:5e775b6b371ca4f0f5f068b9133f706a5e97fd1e2d0320af07ac7a25d726c83e

Observation 5c937058-c8d9-4872-ac92-5a022ed46b95 · outbound

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

Bootstrap Your Own Context Length Extending Context Window of Large Language Models via Positional Interpolation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T04:28:38.353161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.353161Z digest=sha256:0a8a030f18d7fa1123678f23fd633e1c9473988ead36234cf35900b4d0b984a2

Observation 35d8608e-73a3-46b1-bfd2-ed05fa9d46d6 · outbound

This paper cites Redpajama: an open dataset for training large language models, 2023.

Bootstrap Your Own Context Length Redpajama: an open dataset for training large language models, 2023

Reference 6

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unresolved
no resolver link, observed 2026-08-11T04:28:38.358518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.358518Z digest=sha256:5baa7f0497fff2638a678882ea14867fa9c2d2496d325629b4b986a29f322451

Observation 8f432cd9-bcb5-45f7-a1c7-bd4ac93dc566 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning.

Bootstrap Your Own Context Length Flashattention-2: Faster attention with better parallelism and work partitioning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.986625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.363852Z digest=sha256:47d4753d7bd4e5b46ad163861ff8820749fec83ebb18eb639e350985500186b5

Observation 8716486f-5e67-4fa4-bf42-5b9bdba2d774 · outbound

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

Bootstrap Your Own Context Length LongNet: Scaling Transformers to 1,000,000,000 Tokens

Reference 8

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no resolver link, observed 2026-08-11T04:28:38.370449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.370449Z digest=sha256:c581b95dc324a8f610f69db92603dee1e65c36f57a22f115df425847b7678898

Observation 05684d93-49fd-4e3a-b83e-34305b48e5c5 · outbound

This paper cites The Llama 3 Herd of Models.

Bootstrap Your Own Context Length The Llama 3 Herd of Models

Reference 9

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no resolver link, observed 2026-08-11T04:28:38.376993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.376993Z digest=sha256:5927590d275ae529ab1ecbd69798aefa9922f863adb9ad6adcaa198ceb95a695

Observation 73c6ea1e-7acf-4f4f-b3d3-fddcbfb07600 · outbound

This paper cites Data engineering for scaling language models to 128k context.

Bootstrap Your Own Context Length Data engineering for scaling language models to 128k context

Reference 10

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no resolver link, observed 2026-08-11T04:28:38.420696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.420696Z digest=sha256:8d7b57106a6de34d76e04cd9bcd0a2866fc4ec68c14fc71ec6e768ea6786cd28

Observation c3f668b5-e858-4abc-b0c6-f924a8a85886 · outbound

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

Bootstrap Your Own Context Length Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.582703Z digest=sha256:5f4acb616ddc559e394fae69dd807b32aa597048739783ce4800e737cb639460

Observation e96173f4-d655-487b-95ca-9b34728b3e4e · outbound

This paper cites A framework for few-shot language model evaluation, 2024 b.

Bootstrap Your Own Context Length A framework for few-shot language model evaluation, 2024 b

Reference 12

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no resolver link, observed 2026-08-11T04:28:38.648266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.648266Z digest=sha256:93f0b2b1735cc5fa4a80b1f4094346da34baeaf537603c3c5a4c72027b625239

Observation 6b5fa094-b4f6-4813-8c7d-3b98fd69558a · outbound

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

Bootstrap Your Own Context Length How to train long-context language models (effectively)

Reference 13

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no resolver link, observed 2026-08-11T04:28:38.693777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.693777Z digest=sha256:3b84687544b83d7daa5945d682efc19868c7a7a9cebe33c9c6e37dc296424980

Observation 08e5d916-47df-4fc3-a148-e528afafc81a · outbound

This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.

Bootstrap Your Own Context Length Scaling Synthetic Data Creation with 1,000,000,000 Personas

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T04:28:38.697099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.697099Z digest=sha256:24d024202c1674e455569d744a2313dc8511bd7996861f70c7c5e31e7476f29e

Observation b034f0b4-4490-4565-abce-8b651b0bbfb3 · outbound

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

Bootstrap Your Own Context Length RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 15

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unresolved
no resolver link, observed 2026-08-11T04:28:38.700374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.700374Z digest=sha256:2a37ca7412485879b1d35c093f5a118ff6c7e4700f9f4d7d82d26604bf90ed22

Observation b2fd4bd3-155d-48f5-b99b-47e3561073cb · outbound

This paper cites GPT-4o System Card.

Bootstrap Your Own Context Length GPT-4o System Card

Reference 16

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no resolver link, observed 2026-08-11T04:28:38.703423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.703423Z digest=sha256:015ff268dd81d471c29bb52a3c67b53902fba483d2ce995683395458e7b9672a

Observation 9eed2ddd-53ea-4e22-add8-27563aafac5f · outbound

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

Bootstrap Your Own Context Length Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 17

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unresolved
no resolver link, observed 2026-08-11T04:28:38.706990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.706990Z digest=sha256:634311fc673f2a082c33618ed406ad4044d5cede3d645376daf314a06119afa8

Observation 9cf4cfec-b40e-49b2-aef5-aeff1eecc7fd · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Bootstrap Your Own Context Length MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 18

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no resolver link, observed 2026-08-11T04:28:38.710848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.710848Z digest=sha256:62cba2c5d58739b3bbd0dc58f9c15550787af5a4ab24bdc80cf4834a84edf1d8

Observation 9b544978-bcab-4a2c-ae2f-ad8d3ee016a7 · outbound

This paper cites LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs.

Bootstrap Your Own Context Length LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Reference 19

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no resolver link, observed 2026-08-11T04:28:38.714561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.714561Z digest=sha256:f9a49d73f23ce9ef40ed69f02ccc94b0db2acb7262803908ff6b39bf09d7538a

Observation facb1485-e500-4638-baab-8314163e3a22 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R.

Bootstrap Your Own Context Length Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R

Reference 20

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no resolver link, observed 2026-08-11T04:28:38.717978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.717978Z digest=sha256:5992eb60b1d4ed92769120f23bdf9111872bf7310c7703f8ec3d2cb214490de4

Observation 8bddac75-5563-4de1-b8a1-9fe5dd5e5e3a · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Bootstrap Your Own Context Length Dense passage retrieval for open-domain question answering

Reference 21

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no resolver link, observed 2026-08-11T04:28:38.721146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.721146Z digest=sha256:ba472a555f3efaa7408ef3755341233fd31e8bc15b0ccae3e2b0c2c749f6e399

Observation 56e1ea95-803e-4cf5-aed4-827a0a853bb4 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Bootstrap Your Own Context Length Efficient memory management for large language model serving with pagedattention

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.957297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.724231Z digest=sha256:dddb5ed76ad0561e30bc78d1cf1934b53b6076f523129e399a373e270edb70d1

Observation f3192474-55ca-4aa5-9521-f7f291127f81 · outbound

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

Bootstrap Your Own Context Length Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 23

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unresolved
no resolver link, observed 2026-08-11T04:28:38.727159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.727159Z digest=sha256:8f8db3a40f935183a83fd8b1388390835a96982015fe2329427c01f4521dc9ed

Observation b11eff84-8950-4a63-8f58-2222f2281f3b · outbound

This paper cites Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.

Bootstrap Your Own Context Length Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 24

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no resolver link, observed 2026-08-11T04:28:38.730621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.730621Z digest=sha256:a0f22cf8b772bb127e3ee9f88a897a906ff690ee642a979e7a92306565842fca

Observation ca17eb79-6d86-4083-8a90-642e2ffdf918 · outbound

This paper cites u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \.

Bootstrap Your Own Context Length u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.944035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.733941Z digest=sha256:977a185ae97788b1ab4c5a084952b4b0436ac1ecb86cef52b985280fc90ab089

Observation 94092dee-d807-4bed-b9e6-001c3eae7b72 · outbound

This paper cites Self-alignment with instruction backtranslation.

Bootstrap Your Own Context Length Self-alignment with instruction backtranslation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.931704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.736954Z digest=sha256:f0fe530c6ceb377bd944c48a2d7c0199bcba34367be362ffae6991fc276939a5

Observation 74df7139-b90e-43b4-ab03-dc4adfda2b99 · outbound

This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

Bootstrap Your Own Context Length RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 27

Resolution
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no resolver link, observed 2026-08-11T04:28:38.740295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.740295Z digest=sha256:33fe03a75d59a513ae336790de5deb086763628d68e1d324d3de34cfa106637e

Observation 38458792-fd48-41c8-8a94-dab37c4b6ac6 · outbound

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

Bootstrap Your Own Context Length World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T04:28:38.744750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.744750Z digest=sha256:a4a180e1b3196b86c181168c4f6a073b08019d1fd68efc8ced1a0695961e659c

Observation 27215cb8-efb2-4000-a79f-a0205c50e806 · outbound

This paper cites Ringattention with blockwise transformers for near-infinite context.

Bootstrap Your Own Context Length Ringattention with blockwise transformers for near-infinite context

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.919044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.748065Z digest=sha256:809ac5551161e2fe363216b6aa85a90caf495706795a0686c2b92314d8256f92

Observation dcbd54f9-efbe-4f86-84f6-83344574a021 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Bootstrap Your Own Context Length Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 30

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no resolver link, observed 2026-08-11T04:28:38.765899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.765899Z digest=sha256:7810624caeefc2ded99307d2023b13cd303b2eaaad564e940e08c74a0b0338f2

Observation e751c713-eeee-4f9c-a038-9cbf461336f6 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Bootstrap Your Own Context Length Generative agents: Interactive simulacra of human behavior

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T04:28:38.814539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.814539Z digest=sha256:e8acdc1f9802505897bc19aba1951315d72255a636c4e550ef7c56add49a0e60

Observation fa2bf329-170f-49ec-92c5-8876900b5eb9 · outbound

This paper cites Llama 3 gradient: A series of long context models, 2024.

Bootstrap Your Own Context Length Llama 3 gradient: A series of long context models, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.899293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.853754Z digest=sha256:23259f4223896e389a74e1e9b5694981579c13aba9bcf4e7aa9714adc2e98c15

Observation 3e6c2a73-9c56-449c-adf3-8c4bcdc77709 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Bootstrap Your Own Context Length The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 33

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no resolver link, observed 2026-08-11T04:28:38.930774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:38.930774Z digest=sha256:03969d9c4c7150f1dc9bc231ffa6a7b2deecfb5a4265ea9e14dec3aa4ec5b8e5

Observation c87dc521-e6e2-41de-af7e-af00b6e0eb37 · outbound

This paper cites Yarn: Efficient context window extension of large language models.

Bootstrap Your Own Context Length Yarn: Efficient context window extension of large language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.886961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:38.980141Z digest=sha256:c6bd6c9b21bf17528282ec6e776f0a714d12e976a2d8dda0f5ff90b74c33fcdc

Observation fe744406-d65c-418f-9851-4755761bd66b · outbound

This paper cites an unresolved cited work.

Bootstrap Your Own Context Length Unresolved cited work

Reference 35

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unresolved
no resolver link, observed 2026-08-11T04:28:39.024689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:39.024689Z digest=sha256:6e7d43c6a1e38fc958b3ffb9761b8848c86a9307b5dbe1f123746bc895fe724b

Observation 7d76a7a8-2fcb-4dc8-9f92-d62afe6d7b7d · outbound

This paper cites Z ero SCROLLS : A zero-shot benchmark for long text understanding.

Bootstrap Your Own Context Length Z ero SCROLLS : A zero-shot benchmark for long text understanding

Reference 36

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unresolved
no resolver link, observed 2026-08-11T04:28:39.100779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:28:39.100779Z digest=sha256:bb712c7af089e3caff721fefb08bd1748baf0196e887e997bfefb7057369472e

Observation 1916f8dd-6892-462f-8dd2-04cbe9f63d2d · outbound

This paper cites Musr: Testing the limits of chain-of-thought with multistep soft reasoning.

Bootstrap Your Own Context Length Musr: Testing the limits of chain-of-thought with multistep soft reasoning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.861169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:39.119131Z digest=sha256:2912b7637d6cf54975bb13c731d71a8f60a3c2caf4f713fd0fa1694a22e88f81

Observation 4380ba7a-b789-4f24-9f71-c06eccab84ce · outbound

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

Bootstrap Your Own Context Length Roformer: Enhanced transformer with rotary position embedding

Reference 38

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unresolved
no resolver link, observed 2026-08-11T04:28:39.124037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 050fda77-e494-49c3-b987-3809c52a804e · outbound

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

Bootstrap Your Own Context Length You Only Cache Once: Decoder-Decoder Architectures for Language Models

Reference 39

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source=arxiv_source observed=2026-08-11T04:28:39.127780Z digest=sha256:79cd195b872dfd7cdebf1acd21480e87cf20fa1f34ec5d92445b8b5e0c89d801

Observation 3aba30bd-2031-47a2-97db-06cb12d08784 · outbound

This paper cites Challenging BIG -bench tasks and whether chain-of-thought can solve them.

Bootstrap Your Own Context Length Challenging BIG -bench tasks and whether chain-of-thought can solve them

Reference 40

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source=arxiv_source observed=2026-08-11T04:28:39.132429Z digest=sha256:815b3001db213b481788409946903dd09b1e245160bf2f191257790d2d4b5a1a

Observation 62526264-a9e6-45c5-8842-64bd21cf4223 · outbound

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

Bootstrap Your Own Context Length LLaMA: Open and Efficient Foundation Language Models

Reference 41

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no resolver link, observed 2026-08-11T04:28:39.135727Z

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source=arxiv_source observed=2026-08-11T04:28:39.135727Z digest=sha256:cd7294222c1807b13aca5fe5aec319485efb64c7291cd59c0299663179c41cdf

Observation 341fd439-096f-4bf7-8839-9f56f9dc6e23 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Bootstrap Your Own Context Length Improving Text Embeddings with Large Language Models

Reference 42

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no resolver link, observed 2026-08-11T04:28:39.140330Z

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source=arxiv_source observed=2026-08-11T04:28:39.140330Z digest=sha256:76ec7b558b30a28e4a89db007f38d3dbd04729a7adf25ab599998261e1f83cb3

Observation eb916ac8-9acd-40bf-a389-2fe0256e8b9c · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Bootstrap Your Own Context Length MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 43

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no resolver link, observed 2026-08-11T04:28:39.145047Z

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source=arxiv_source observed=2026-08-11T04:28:39.145047Z digest=sha256:dd421d3a2670c55640af557f5434cdf42804b041ac0ef43cc914a6c3ccb42a7b

Observation ecc49cd6-ad78-4820-a376-4fde2a392143 · outbound

This paper cites Effective long-context scaling of foundation models.

Bootstrap Your Own Context Length Effective long-context scaling of foundation models

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.813914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:39.148898Z digest=sha256:c24c86e09dd6dfb7b28fcd1a6b4611d5bd514af7d669d2ecd35676facd459a43

Observation d974c577-ab39-4977-9e77-96f9bd076cfd · outbound

This paper cites \( \) bench: Extending long context evaluation beyond 100k tokens.

Bootstrap Your Own Context Length \( \) bench: Extending long context evaluation beyond 100k tokens

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.755750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:39.153643Z digest=sha256:03b8bc422dca43051d8eb541fcd89bb88e68e563a8acf8f69bff2220f3f098ce

Observation 4bba0397-5e27-4ed3-98c7-1e85bd31afd1 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Bootstrap Your Own Context Length Instruction-Following Evaluation for Large Language Models

Reference 46

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Observation cb6e8cfd-8c1d-4eb4-ba3b-9d9f6e1562d3 · outbound

This paper cites Pose: Efficient context window extension of llms via positional skip-wise training.

Bootstrap Your Own Context Length Pose: Efficient context window extension of llms via positional skip-wise training

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-11T04:28:39.723331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T04:28:39.160943Z digest=sha256:a61c4659a98cf15af977c88808b9a7a68e304e090229bd274b6288c05fbaf0fc

Pith citing papers

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

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

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

Reference 2008

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Observation 7ebd116c-f654-4ec1-a314-c18e640a4de9 · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding Bootstrap Your Own Context Length

Reference 48

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verified exact
arxiv_id, observed 2026-05-13T23:53:27.889911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T23:53:19.148407Z digest=sha256:3c7f8b3f0328a1af5b70da3decc9ff909709534e770723d972d5e7f52ca49daf

Observation 97a2a65e-fb2e-41d8-8339-5fa40abde337 · inbound

Internalized Reasoning for Long-Context Visual Document Understanding cites this paper.

Internalized Reasoning for Long-Context Visual Document Understanding Bootstrap Your Own Context Length

Reference 48

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source=pdf_text observed=2026-07-13T15:50:49.083652Z digest=sha256:a1630b74a4773675da83732c1c8dbc7c94a9f9c4372f5204add28e0a0afb1c02

Observation 29a87f9b-cc21-4bfe-91f0-93eac7596c3e · inbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Bootstrap Your Own Context Length

Reference 29

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