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Paper Citation Record · LEDGER

SELF: Self-Extend the Context Length With Logistic Growth Function

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2505.17296.

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

pith.paper-citation-record.v1
2505.17296 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:15.713447Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T06:47:09.927626Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8743590-e256-4e6b-8649-2a20403776cc · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:12.066476Z digest=sha256:f87820b16b1e97484ccaf1f1e25835530d327fb1d72027517046d0444fcb6c15

Observation f407f3ef-c52d-4252-b7c2-6db2c795c74d · outbound

This paper cites GPT-4 Technical Report.

SELF: Self-Extend the Context Length With Logistic Growth Function GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-07T14:52:12.136452Z digest=sha256:da2ffe842e39ed45b2b5a935fd3ec91feb2a35712b6415fb9e3c6fb33bed7415

Observation 70a77ed3-9a1e-415b-9807-bd91984977d1 · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

SELF: Self-Extend the Context Length With Logistic Growth Function L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 3

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source=arxiv_source observed=2026-08-07T14:52:12.226319Z digest=sha256:8cca489a81289eeeff10efe3463567ca80951f46f74a426e82737ca6d377f3ed

Observation 35910f2a-56c5-4927-81cf-079627062b6f · outbound

This paper cites Recent Advances in Adversarial Training for Adversarial Robustness.

SELF: Self-Extend the Context Length With Logistic Growth Function Recent Advances in Adversarial Training for Adversarial Robustness

Reference 4

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source=arxiv_source observed=2026-08-07T14:52:12.280600Z digest=sha256:f39dff3712f6f126d6f2bf06f968262c45e2b375f2c39e9bf24cb8dda508dc9f

Observation 38cc71ea-b09a-4d98-a28a-08f9c8ee8564 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 5

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source=arxiv_source observed=2026-08-07T14:52:12.359231Z digest=sha256:7b6bbb994aaaf063d935dd3ef7b9fc37753c90800b7f88c5f69e276835f99802

Observation f16925a9-e7a9-486e-a12d-43d3040c5dea · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:12.445121Z digest=sha256:9d2fc93197eab7851422a56455e9437c8cdb00d98cac88fb567456fab80f74cd

Observation 9a1f6561-b329-425b-918d-8360a7214a95 · outbound

This paper cites Language Models are Few-Shot Learners.

SELF: Self-Extend the Context Length With Logistic Growth Function Language Models are Few-Shot Learners

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:12.552144Z digest=sha256:d04c21ffc48b4db9bba05478dc89d850ad9c209c75d9d0e738c0aebfb12842b2

Observation 638cc04f-e316-4565-ae41-6a08c02869a8 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function CLEX: Continuous Length Extrapolation for Large Language Models

Reference 8

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source=arxiv_source observed=2026-08-07T14:52:12.649860Z digest=sha256:52c760c29ec9b441ee65a5822f74fb2165f793f2ec6224d8e4649e5a803b3929

Observation d40ebc56-d644-40ff-a3f5-a40ed590f505 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function Extending Context Window of Large Language Models via Positional Interpolation

Reference 10

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source=arxiv_source observed=2026-08-07T14:52:12.828560Z digest=sha256:95d9d367ea8f2481cd350ac9b946c2b3270cb908235027755427e17da13546cc

Observation b59fbe87-6906-4573-8f33-a9427c3d24e5 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-07T14:52:12.906070Z digest=sha256:c6efe3f2ddbacda96c19e05f032f58088fca551bae8e784371de9edac8c7ecb5

Observation 99a9a7c5-16db-4422-9ce0-c193f2b10e6b · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

SELF: Self-Extend the Context Length With Logistic Growth Function Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 12

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source=arxiv_source observed=2026-08-07T14:52:12.991265Z digest=sha256:dbff41989524c5d52f531142d0f31834fc4ab5c1ea99e265f0b70e1b056f8eed

Observation 124428ed-4ed7-40e6-9f91-42345e8999ae · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SELF: Self-Extend the Context Length With Logistic Growth Function DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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source=arxiv_source observed=2026-08-07T14:52:13.040929Z digest=sha256:ae37954623b94c3013f450d9d99961981babe1db3676c232396e6a0ac2a94d25

Observation ef6efe26-b221-4a19-a4f4-de994aaef756 · outbound

This paper cites The Llama 3 Herd of Models.

SELF: Self-Extend the Context Length With Logistic Growth Function The Llama 3 Herd of Models

Reference 14

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source=arxiv_source observed=2026-08-07T14:52:13.135806Z digest=sha256:6df44d111e207aba1c15fe7ec7a7cc865236d07acab5a8498d0a99c314703c85

Observation a42545fb-8785-4870-809f-8e4199fea2a3 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 15

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source=arxiv_source observed=2026-08-07T14:52:13.219156Z digest=sha256:f47351e632b34ec4e46175e980848602e8dfbd328d2ad901263979b9ec105c15

Observation bd3ee4e1-8849-4f6f-bbfc-56df95f76de2 · outbound

This paper cites an unresolved cited work.

SELF: Self-Extend the Context Length With Logistic Growth Function Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-07T14:52:17.064466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T14:52:13.295524Z digest=sha256:ade5cfee299e98e5429147e0a89b63dcc2942ea6a52a2be31bf913ca0858ef57

Observation fdac2e3d-062f-42a8-8cbe-bebe2f1782c6 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

SELF: Self-Extend the Context Length With Logistic Growth Function LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 17

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source=arxiv_source observed=2026-08-07T14:52:13.369764Z digest=sha256:687bcabed94c33598839a68419953e167714c43629f300a198897976768d7a22

Observation e51ccf67-d9fa-46f0-9d48-07459f7542b8 · outbound

This paper cites LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

SELF: Self-Extend the Context Length With Logistic Growth Function LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning

Reference 19

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source=arxiv_source observed=2026-08-07T14:52:13.547977Z digest=sha256:66978c4062a9c990c0ef35b19cd194f1d029be16d4509cf1661adc3beaa19cde

Observation 92680118-469f-4932-a9a1-e5ed55bea1a2 · outbound

This paper cites Gonzalez, Ion Stoica, Xuezhe Ma, and Hao Zhang.

SELF: Self-Extend the Context Length With Logistic Growth Function Gonzalez, Ion Stoica, Xuezhe Ma, and Hao Zhang

Reference 20

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source=arxiv_source observed=2026-08-07T14:52:13.603105Z digest=sha256:e080f6a9699a4a8a708792e047ffc897359ffb2d94061390abb9de3b3d41d6c3

Observation e9762229-6183-4939-84af-e95d1a7080a4 · outbound

This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

SELF: Self-Extend the Context Length With Logistic Growth Function Compressing Context to Enhance Inference Efficiency of Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-07T14:52:13.702174Z digest=sha256:ff955e560840fea3791a3b99e05092312be66076c2a1bf410e9c0fc23d76d0e0

Observation 67cb5cd4-9f5a-421a-8690-688372c6e7cc · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

SELF: Self-Extend the Context Length With Logistic Growth Function Towards Out-Of-Distribution Generalization: A Survey

Reference 22

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source=arxiv_source observed=2026-08-07T14:52:13.788349Z digest=sha256:2fa1439ef00e12338b9ef716e87680fc3692cc54f6b68f683240efd4d118a357

Observation 0966cd51-8c67-473b-8268-246059eecd98 · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

SELF: Self-Extend the Context Length With Logistic Growth Function Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 23

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source=arxiv_source observed=2026-08-07T14:52:13.869804Z digest=sha256:5f3fc6fdcb9bb031f98d4784f8c21ba9ba7e1cb740230ef3992b7ab60f96e7b3

Observation 3cffc9b5-8ea5-4d86-a57c-d5c093c5f8e6 · outbound

This paper cites an unresolved cited work.

SELF: Self-Extend the Context Length With Logistic Growth Function Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-07T14:52:13.933632Z digest=sha256:b8e3aa0548bd637bb384d985a6e4a277e6f5ae543ee1f9e6e63713633c8ddc15

Observation e6aad3e1-c7e7-4fce-9be7-a9c8eb46eb98 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function YaRN: Efficient Context Window Extension of Large Language Models

Reference 26

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source=arxiv_source observed=2026-08-07T14:52:14.092847Z digest=sha256:e78072715e65829b2cb2027a22139c84a1c223347a49708bd5cec4a57456d3c4

Observation 48da15a2-e9a1-41a6-8627-8d82ca0f59a0 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

SELF: Self-Extend the Context Length With Logistic Growth Function Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 27

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source=arxiv_source observed=2026-08-07T14:52:14.159850Z digest=sha256:5db39bbf66da93d4bd61193f42a0249c58d663682d52c2ca8ec2357b7a13f272

Observation f7c18999-a510-421f-a092-a5a6d88a2037 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

SELF: Self-Extend the Context Length With Logistic Growth Function Compressive Transformers for Long-Range Sequence Modelling

Reference 28

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source=arxiv_source observed=2026-08-07T14:52:14.250805Z digest=sha256:88abf6eb1e519de09f578f6d2f116e52b5544a475d4f322fcaeb719c4a07cb5d

Observation 6ccdfbd9-ebbe-4ae7-8038-5c7a87d4bede · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function Code Llama: Open Foundation Models for Code

Reference 29

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source=arxiv_source observed=2026-08-07T14:52:14.300477Z digest=sha256:7aba2d054543e0ac6156a018b74fb1f48924d265d289d2c9af0c134854fa619d

Observation 01c8e5d6-6c14-4f60-878c-ebdd43aef3e8 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

SELF: Self-Extend the Context Length With Logistic Growth Function RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 30

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source=arxiv_source observed=2026-08-07T14:52:14.398358Z digest=sha256:f38be676747d8732465eda213676b846d920fb7cd73c79403482d0bbf6c69a31

Observation 0b0d96a0-4ecc-409a-b064-a8a1ff8fc00e · outbound

This paper cites an unresolved cited work.

SELF: Self-Extend the Context Length With Logistic Growth Function Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-07T14:52:16.928790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.457197Z digest=sha256:16637fe65f6b55af202977ff20f46f2455228b8a512ebc9681cb6f011e56f4ae

Observation 97893ceb-06ea-4eff-a67d-5bc9c2aae158 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

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source=arxiv_source observed=2026-08-07T14:52:14.600304Z digest=sha256:759cc51c4c1f350e0248fecc0a9671ea62e3fb78a8b90051e066462a67927c56

Observation 56c31837-3505-452a-b4c9-e1530c291b4d · outbound

This paper cites Attention Is All You Need.

SELF: Self-Extend the Context Length With Logistic Growth Function Attention Is All You Need

Reference 34

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source=arxiv_source observed=2026-08-07T14:52:14.816716Z digest=sha256:0bb904d38d96a8550bc95a88d3296d6511c1c14729cefc828bb93e820ef5daec

Observation 113f61dc-32ec-44b6-8594-1eb32543b684 · outbound

This paper cites an unresolved cited work.

SELF: Self-Extend the Context Length With Logistic Growth Function Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.863903Z digest=sha256:616ccf50e8c23b506260830a3c45b199588b975c73debf122b57080714d3fde0

Observation 3154db24-afd2-41f4-9adf-54805e15a093 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

SELF: Self-Extend the Context Length With Logistic Growth Function Efficient Streaming Language Models with Attention Sinks

Reference 37

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source=arxiv_source observed=2026-08-07T14:52:14.955233Z digest=sha256:3364e58c43857ee4b1b8f950386f3d9ff6530b877d920b82873d20c29705157a

Observation 498644d0-ddce-4eef-a8db-a0c47deab8f7 · outbound

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

SELF: Self-Extend the Context Length With Logistic Growth Function Effective Long-Context Scaling of Foundation Models

Reference 38

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source=arxiv_source observed=2026-08-07T14:52:14.996527Z digest=sha256:6d2dfada1eeba7aed23a1269b2af4e6081ee3090e490282e72afe00d2d9dac9d

Observation 913ee026-13ab-43c4-af19-fe419c5c088e · outbound

This paper cites an unresolved cited work.

SELF: Self-Extend the Context Length With Logistic Growth Function Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-07T14:52:15.060375Z digest=sha256:07ea25b9f00b5aa8f25d478120283b4e0c00acb39c9e04681a8c1c53932ec96d

Observation 8630ed76-fa34-4175-8f23-32f0a9229967 · outbound

This paper cites Retrieval meets Long Context Large Language Models.

SELF: Self-Extend the Context Length With Logistic Growth Function Retrieval meets Long Context Large Language Models

Reference 40

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source=arxiv_source observed=2026-08-07T14:52:15.133661Z digest=sha256:e44a3d8be50038f90cdb2f90ac01f337ac1d04e36f54f6218154f0d11c372c32

Observation 0aa85d15-362d-4db0-bf46-17688cfd33c4 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

SELF: Self-Extend the Context Length With Logistic Growth Function mT5: A massively multilingual pre-trained text-to-text transformer

Reference 41

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source=arxiv_source observed=2026-08-07T14:52:15.201414Z digest=sha256:14c098ed75e7e99369e40ce0c4b22dfb5ccb672176748a1c9b0724af70a63fa0

Observation 844caad3-2dfa-48bd-bf34-fd79399617b0 · outbound

This paper cites Qwen3 Technical Report.

SELF: Self-Extend the Context Length With Logistic Growth Function Qwen3 Technical Report

Reference 42

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source=arxiv_source observed=2026-08-07T14:52:15.256734Z digest=sha256:13a62fcd4a139426e9263a32d3202faa88a43cdc11fff8717f2d57bec1a0302f

Observation 92863953-cf6a-4245-8ae2-748ccf020629 · outbound

This paper cites Qwen2 Technical Report.

SELF: Self-Extend the Context Length With Logistic Growth Function Qwen2 Technical Report

Reference 43

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no resolver link, observed 2026-08-07T14:52:15.309002Z

Source-reported events for the cited work

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Observation b5436054-3fed-4c0b-af5d-43e70cda53d2 · outbound

This paper cites Qwen2.5-1M Technical Report.

SELF: Self-Extend the Context Length With Logistic Growth Function Qwen2.5-1M Technical Report

Reference 44

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unresolved
no resolver link, observed 2026-08-07T14:52:15.371607Z

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Observation 3f2f13ac-1a95-4e55-9473-3dec43ae7608 · outbound

This paper cites When Neural Networks Fail to Generalize? A Model Sensitivity Perspective.

SELF: Self-Extend the Context Length With Logistic Growth Function When Neural Networks Fail to Generalize? A Model Sensitivity Perspective

Reference 45

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verified exact
local_arxiv, observed 2026-08-07T14:52:15.915822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 67b66009-1533-4a64-965d-2f5539d2841e · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

SELF: Self-Extend the Context Length With Logistic Growth Function OPT: Open Pre-trained Transformer Language Models

Reference 46

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unresolved
no resolver link, observed 2026-08-07T14:52:15.487368Z

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Observation eaeb313b-4dee-4061-9ce4-3b7770d31db2 · outbound

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SELF: Self-Extend the Context Length With Logistic Growth Function PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Reference 47

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unresolved
no resolver link, observed 2026-08-07T14:52:15.580763Z

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Observation 7dcbc603-8f18-4600-9ac3-b10010701e20 · outbound

This paper cites online" 'onlinestring :=.

SELF: Self-Extend the Context Length With Logistic Growth Function online" 'onlinestring :=

Reference 48

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unresolved
no resolver link, observed 2026-08-07T14:52:15.635608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bedfc576-d7fb-4fac-bf50-7dafaea46aff · outbound

This paper cites write newline.

SELF: Self-Extend the Context Length With Logistic Growth Function write newline

Reference 49

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unresolved
no resolver link, observed 2026-08-07T14:52:15.713447Z

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source=arxiv_source observed=2026-08-07T14:52:15.713447Z digest=sha256:af254ce109779a15c5cfdfcee8beaa9b38d73daa03fde3bc22fcad0f43c32021

Pith citing papers

Observation bed809b9-ef55-4e2a-93d2-25dde85dacca · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE SELF: Self-Extend the Context Length With Logistic Growth Function

Reference 45

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no resolver link, observed 2026-07-13T06:47:09.927626Z

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