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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:7b45f23531fe3550baa46aae32c0c2bde179f7da8dc09676ba01dc5db7defa61

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=sha256:0f8f01544fc97208ec729f55be7d4223c9d8e28bac95dcb8097014ff497df9d4

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=sha256:0ac2bf5fcab591b616b517aacb0173379ffd5e1575debd2f508c74533ed77748

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:12.280600Z digest=sha256:25989cf12c0fa114574605a31746a0d732edd76b65ac08745b68d913c2c1b78b

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:bb5f1f3bb2a96ab3f3c5fb8600d766fd09b1ac8ad8906ada495527590ec43aaf

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:b39fc87a9df9a5eb92f7f48835c0a0554b241148994c7d4b7092e6eba5bda6dd

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=arxiv_source observed=2026-08-07T14:52:12.552144Z digest=sha256:3209640e57f76f95ebf34ee0a9bdcfecf5c301dbf74087999913376d6d1141da

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:bff6e9d350c611b3c0d62ea5bbc1f37ae0207993dec3d4483612e6cf3f13d65e

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:efcf7eacc3ec98c9f972063df9fc9f9878643907717d19bf9faa2e30bdc29219

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:fbe95e26e506bdd7e91f2365ef337fbf00e473a06a62258ee09b9e27b1048446

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=sha256:49f9dd4d99544bd064db82d168ae8aa0c68fe021cd43ea9e46b5338eb0ebd5bb

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:e97b19f9dfa61b94a2e80668ecb4bca63289528fec826738d202029b0e800bd7

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=sha256:5ceb64d68fd7e3a702352520483bd4b506f973f93a2adfad0ee9e77eb8cba359

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=sha256:587e6a27c56a488cf9511e14c2e671367c72adcc3765a99e6da370cc1dc01772

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:52:13.295524Z digest=sha256:5fed9d6d806e90ceb89bb7d02c41cede01e980e899b8b803d249bdb0d9d10c9f

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=sha256:56f8638e9749b33b645e6e53c2228c956e6a5c699da963632cad5c62a1420bf0

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=sha256:7cb62ea71b8b5832b21ad919c978d2068a53dc6fff1d261014b5649529aeb244

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:a821d68d23709c7a460cfe54e9ab9ba37b35d36ce448628784d59feeee2a8c54

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:c785e0dbbdf9c2614b0a1450681a1bdce555d4d25fc647a916298358c904340c

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:b816fee30d34bc8d91ddb47cd423f78078b2849e365167f3c3760372efb4f299

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:13.869804Z digest=sha256:62b541e627a5f4fad1384abde2d3d4896d9ebe4c5d6042f1bd3bab7575fbf5e6

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=sha256:484d956283a833e726448e0abbfdc1426fb8527d943a93a83ec7574ba386ec9a

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:e26cfde547efb547fc772c16d6ebbbeb7313025b4b859f806def91cd824c357f

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=sha256:107ffdbd72dd5ad03081a3283d340442690eeeb78b28af893864bd819d5295ea

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=sha256:1750895e351dd24bb3960b79f8ad7ee8c3c7eabffa73aa596a260fcada316f3f

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:bcdc681a0e9f8c0cbae2c43f947116b2978b7493e643f264cdc237a42d8a8756

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=sha256:9bbf0333364a149cecf9374b9b6f692d80619fd3d5775f35f92c36a6d5117bf0

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.457197Z digest=sha256:dec8476b9755699f7885449900833b0ab8818d7954d52c13e69bbdc8c91d2ffc

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=sha256:89c6dd92725cdb07920c5188026dd9f1fa8ff2210daae28b2203eaff149d26b6

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=sha256:598b61a8fd4aa201d51a8206ea97d56678cbda9d94e184d4f4901c2a1a4a8189

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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raw_fallback, observed 2026-08-07T14:52:16.794393Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.863903Z digest=sha256:b055bc8fda843c21f55e53c64bf9503694b9ba2600307f7ffb5ca5126ddf77bb

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=sha256:4378298699b3b094e967a91b8d0f2d0166804e686b0c352d2db543fcf5fae9cb

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=sha256:4aeb5b4e673726e39f2c3e022f0399cec0f517e93579368c6351ceadc6e5691b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:52:15.060375Z digest=sha256:bb0ca7ee3e396cd29427e0f5c21ec566ea82c92eee4d01f2056aa6abed6290b8

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=sha256:3cdbf156157699cbced14101d4e08256802ae2d00f43f6dd4b2f5685c1e43607

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=sha256:634b189bc3fcd427fe790df1a663bbcc127d94ae30589ed8e1ec137b606b8c92

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:e235c1dc9b71cb645bd4285cee69c654daa579f90b9cfb54ab661ddcb20f8fa6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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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 2026-08-09T06:31:02.800959+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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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

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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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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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