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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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:e6b63f1568b219b027bf4eab90bcb1834c36b8a9e9852ec48bacf73900f4a467

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=sha256:283d5fd8d41d081e9c60afcfab11802d1a580fd1192e46aca44298e6d451c27e

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=sha256:37e3b231125967bdbcd9ba205ecab10fd9eba2fed62255c8b932030112b03220

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:12.280600Z digest=sha256:7dfe30530088f21600dcbb22030084c9a39296396b5e8c3017a62e047e4f5c4d

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:12.359231Z digest=sha256:0db5813f4e3a2a3765a26a54864e9b9131c413f0bc92009f29d2d4dcc4ba526a

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:52:12.445121Z digest=sha256:c56dcd93d01cf85004b217aa62577114e64a355331cb36887d901fdc3e0a678e

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:c26717f9c4e4d0067a3e332ae71ae0b0da75dac64cb6fb8d61ac4eff6c725c92

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:12.649860Z digest=sha256:4c55579b1a2c659a8be308cc7265ecde83e2889414d5d90c10eb10f9b770a30c

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-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:52:12.828560Z digest=sha256:75becfcdd9b272ff4fdb0d25b9a962d1cdc8cd4010d96952d7fd89b75400ed36

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=sha256:0663fa3e88512f3c0b897bb73e44ef2c89db260338e4e8cf13e1d615cdfe9906

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:e37ab6bce8ea713f2efbb08aa0cc07d002de40a62f53a13cd1dd02d454982503

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=sha256:33bca8dadca854bae0fea0cb9514e2131b2e596d0f5a42faa60f3bd91bd80af3

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=sha256:0b4f25d73d9fc2bcd24fc0bb12ee17b453ddfffa48e19439a92f69625bcb5246

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:bd89b24cf4c79e48a975be6112ea6504ce85a2786997507218c188123c9197a9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T14:52:13.295524Z digest=sha256:0de731c56bc8935c4db9e7da56f6aab6336bfb8c69e2828491d22b5b44fce550

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:a9326cd56ae78f9576cad9790af09cb30e2991a22834aa347d95322aeae21dd6

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=sha256:0e0ea75e46cbde94bc911d303529b1dcdcfbeaab63ba2d571823ea534a579c00

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=sha256:85d0221dd680b6357ad711d562d602937331932ebf794eda1601e6bd0393e4f5

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=sha256:130b9fbe8f0a459c48e4bd7da2508663217ffbaf9f3806b373fa22f701dcf439

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:db93aeebf4938fd1b963b123dd913430971269f67504f864b8595dca79c0446f

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:c0671f00d32ccd0895c448f7e22492607043b56e42254c115440e31ac56f895c

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=sha256:677d2ae3d90261f314c5ca116ff02ce02c0d0701f7deb4ed04efa7476f689c6e

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:cf85b37578eb14970d06f732f94dd610d1d66b7d12d7064dabd9d0e81e71f6e0

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=sha256:7dda31cbede1614b53fe7fb34ab5e86545bc3220012ff014a553be6244f09929

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:a50d5292ce438e2e9b9401ea0002e8c1beaf481fd12342b2d2b649757870ddc7

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=sha256:4b0b060e45945a1dd1970fb6f6d70ad9932a75aab44d3027c277cebab273aa22

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=sha256:191e73efc0ca2c615260007658a89d3df4f20ff5ce47d6c50f9eec08bad1a29d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.457197Z digest=sha256:559c3a5439a5c02b8acd02a527ca23f485340676530f66ec56215530f0884c33

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:cd4f406fdee4132ec6eff87e072a7c4c9d20776bbf45166f01642f3a7c7d2c32

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=sha256:88e86f2eca91341d530661bfd27c37f757888ee5a9f558f453dc1153755a1509

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T14:52:14.863903Z digest=sha256:493c6bd5577f7d4d300b292a55c513b959cf5435c303cbb844637c29fc6ce45b

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=sha256:5bac6d54716bcfcbd3d01fa2de78a0327fad68b98d2d57af7660cd6a3e045abc

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=sha256:0fe274f18dcf5033695131699325c0d52091e47dc713b6b52ccbdd3ee86120cc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T14:52:15.060375Z digest=sha256:a4aa33a590f508f15e4a522734a9d49e54a856c41714a2fb08214a16ebb3d5bb

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=sha256:84ceaf677460ea3649dccd5116128ac3c11b5e2af8eac9f996b16c07746bf364

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=sha256:0466da09e18b0f4675647c5cb2bf153dd3ddc1a482444549f3835cfe8b6b3f2f

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=sha256:8f481122a0a7595fbcc5007aff46ddf9b6cb858e5f49df0bcd71e868119e2452

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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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 2026-08-20T06:33:59.587034+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

Source-reported events for the cited work

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

This paper cites PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.

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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Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

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