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Paper Citation Record · LEDGER

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2504.18857.

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

pith.paper-citation-record.v1
2504.18857 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:42.560499Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 50c080f3-4015-429f-8b13-0bc663c7d6e7 · outbound

This paper cites write newline.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation write newline

Reference 1

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source=arxiv_source observed=2026-08-16T10:12:42.352771Z digest=sha256:f7784bc5b4d5a47ee102d60f94e2e4ef646b8cbee6d2405e5bdcd7dbde91fb88

Observation 2102f14e-1d4e-4dfa-987d-fa0a51a2b3c2 · outbound

This paper cites Mistral OCR , 2025.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Mistral OCR , 2025

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.358309Z digest=sha256:a80cd8bcfe1da8d353d652992a7e6b959f915607dc5e8bae9dfae368c8ece114

Observation a8b48045-d8c6-492d-bf6e-e14f6f6dd26a · outbound

This paper cites Llama 3 model card.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Llama 3 model card

Reference 3

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source=arxiv_source observed=2026-08-16T10:12:42.362859Z digest=sha256:f0884cb6463fa2e977c2c51d189cd4171120a2f72f0d3ba6108346fdf130f356

Observation b60bf7b5-a616-47ef-a428-6fc438f4d616 · outbound

This paper cites Training-free long-context scaling of large language models, 2024 a.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Training-free long-context scaling of large language models, 2024 a

Reference 4

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raw_fallback, observed 2026-08-16T10:12:43.327548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.367012Z digest=sha256:ca15330c46aa897cd78e0849b6beb9dbb7090df6698d4a3c3e2598310dd38da6

Observation 3f8256ae-7200-4e76-8c14-7cd9db4447a3 · outbound

This paper cites Why Does the Effective Context Length of LLMs Fall Short?.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Why Does the Effective Context Length of LLMs Fall Short?

Reference 5

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source=arxiv_source observed=2026-08-16T10:12:42.370953Z digest=sha256:ba31b5b4777dd794d84ac4bd91d7c5ef409c90354e12d145143b3f6737a527e6

Observation 28b28619-2a90-4f6d-a3d4-dbe2489f69ff · outbound

This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.375452Z digest=sha256:7f9c0adfa4b9494b1894e5d0ab33680a343b4b8e41551bde51688903bd471c0a

Observation 1c6a90f7-07d5-437d-8944-beb434769481 · outbound

This paper cites NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation , 2023 a.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation NTK-Aware Scaled RoPE allows LLaMA models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation , 2023 a

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.379722Z digest=sha256:c08c27569169419c655805a7442bcf43ad3f1e7688f13a8bb530ac88f96a2429

Observation 38bc8e17-d958-449e-8023-b82e96c57015 · outbound

This paper cites by parts.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation by parts

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.298900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.384224Z digest=sha256:0b721ef469b182cb5640ea3218339e7962ed48c15ed1c2050f754cffac89688d

Observation b5f3191d-51c8-40ce-866d-822409673925 · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation CLEX: Continuous Length Extrapolation for Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-16T10:12:42.388272Z digest=sha256:7323cf9715fcae8c795202f731a10f53952f77a824fb7913b7def74dfe35ef28

Observation 6ed76ba7-2338-4616-9299-9c6c9027934b · outbound

This paper cites Extending context window of large language models via positional interpolation, 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Extending context window of large language models via positional interpolation, 2023

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.284094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.392529Z digest=sha256:6b3567607e22afd8f1c11ad69d74cd336549bbd91f15e6cabb6314cb42ee54c6

Observation 5d05916b-12cd-4511-bee1-40e975a18895 · outbound

This paper cites Transformer-xl: Attentive language models beyond a fixed-length context.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Transformer-xl: Attentive language models beyond a fixed-length context

Reference 11

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source=arxiv_source observed=2026-08-16T10:12:42.396631Z digest=sha256:840c8fd12cd70e3adaf3d82f56e6a3200bf3dd97c55491cb8a8f41879674e950

Observation 8c15ce5e-7fde-4760-9929-fbf8d861a745 · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 12

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source=arxiv_source observed=2026-08-16T10:12:42.400847Z digest=sha256:724482f4d9a842be00684097e0ac880ff4ea6dfac634efb70d42e1b3f1db3056

Observation 8f2f6fb2-a616-4c63-99bf-a857633b1491 · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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no resolver link, observed 2026-08-16T10:12:42.404957Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.404957Z digest=sha256:c3ba69720a9476a4d3485b2cb6a0d2c12ddb7812357b64778513fdc289e3e7b3

Observation 870e9f1a-b168-4010-a2d4-f64d85f622b3 · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 14

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source=arxiv_source observed=2026-08-16T10:12:42.409071Z digest=sha256:af2bc8fdc0d4ff5646c8f9211b5453c8bfdfa4ddbe368e128d45889eb9422325

Observation bf85c87c-a6f8-4443-9575-94b39884a988 · outbound

This paper cites Dynamically Scaled RoPE further increases performance of long context LLaMA with zero fine-tuning , 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Dynamically Scaled RoPE further increases performance of long context LLaMA with zero fine-tuning , 2023

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.269619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.417442Z digest=sha256:b8261ba510b03dbfee7569cb41c62bb56bd12e1cdf1b34d7c9a01564595c91bb

Observation 2a127ca6-e92b-4be2-8bd9-98aa483f4b73 · outbound

This paper cites Data engineering for scaling language models to 128k context, 2024.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Data engineering for scaling language models to 128k context, 2024

Reference 17

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no resolver link, observed 2026-08-16T10:12:42.421268Z

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source=arxiv_source observed=2026-08-16T10:12:42.421268Z digest=sha256:3d8e4c78fb1dc236cae137b9bb195f33d437da5de4dade3f85b7ce17bbfb9fa9

Observation 0491d7e6-5b08-4640-9312-e5ce2f8fe9f3 · outbound

This paper cites Needle in a haystack - pressure testing llms, 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Needle in a haystack - pressure testing llms, 2023

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.243591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.425075Z digest=sha256:1d77c22cd7a99d17df2bb4f5cf87dbfd97a0f1adc980c67bc780fce66c17a54a

Observation e5f6f9df-13fa-40fa-b675-dd30fdec1f82 · outbound

This paper cites The Llama 3 Herd of Models.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation The Llama 3 Herd of Models

Reference 19

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source=arxiv_source observed=2026-08-16T10:12:42.429335Z digest=sha256:5b7564acae05dcbfd47fa8142fa257630d839ff67c6b5d64c2f04114119e8638

Observation f886ebbf-1a91-4ca0-bbae-5fcebb9834ab · outbound

This paper cites Lm-infinite: Simple on-the-fly length generalization for large language models, 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Lm-infinite: Simple on-the-fly length generalization for large language models, 2023

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.229529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.433391Z digest=sha256:9b9079dd562af49d6cdc4fa15cc642c2c4a62d7055169c9a53ff5b2649d79b2c

Observation d9744afc-b26d-45b2-961d-7f1411ef2124 · outbound

This paper cites On the token distance modeling ability of higher RoPE attention dimension.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation On the token distance modeling ability of higher RoPE attention dimension

Reference 21

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source=arxiv_source observed=2026-08-16T10:12:42.437305Z digest=sha256:cc9382893efdf74ad7b98ee9da592258405752600c3346ec050a2b23fe8cb6eb

Observation 0a2b6c40-5fd3-456f-b373-804deb320710 · outbound

This paper cites Ruler: What's the real context size of your long-context language models?, 2024.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Ruler: What's the real context size of your long-context language models?, 2024

Reference 22

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source=arxiv_source observed=2026-08-16T10:12:42.441667Z digest=sha256:a1e77a96f89fb0283d6a73921d4769a3cdf07e519a65935ff961853fd23551ab

Observation 2a275480-5e27-4231-9704-ca1e2441937f · outbound

This paper cites Towards economical inference: Enabling deepseek's multi-head latent attention in any transformer-based llms, 2025.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Towards economical inference: Enabling deepseek's multi-head latent attention in any transformer-based llms, 2025

Reference 23

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source=arxiv_source observed=2026-08-16T10:12:42.445669Z digest=sha256:827cb1f7540e7e948ce2c7469d1a869574ffcfbe5dc2cfce4ae917a992b2d7e5

Observation 6f62d702-8760-44bd-822f-c75f1de29917 · outbound

This paper cites Mistral 7B.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Mistral 7B

Reference 24

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source=arxiv_source observed=2026-08-16T10:12:42.449571Z digest=sha256:07b2819b93a2a0bc81b51a5746b307b2be280512f95741b30c563fa5eec2d18d

Observation 1033f936-1941-4a9e-9745-7e5a7660e1f8 · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 25

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source=arxiv_source observed=2026-08-16T10:12:42.454100Z digest=sha256:56e30bea2fe6050a772a2b2f05707e990d80448580f28e462de5e3fa5af317a6

Observation 117e5444-d0b9-48da-90bf-6fa905d6c59f · outbound

This paper cites Llm maybe longlm: Self-extend llm context window without tuning, 2024.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Llm maybe longlm: Self-extend llm context window without tuning, 2024

Reference 26

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source=arxiv_source observed=2026-08-16T10:12:42.458824Z digest=sha256:5dbd0e3f83e9f024a9043c469d3111f8bc51c7c91104a710d5e2da34b03d2441

Observation 8e1ebfe7-ead9-4c48-bbda-caf97c86806f · outbound

This paper cites Thus spake long-context large language model, 2025.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Thus spake long-context large language model, 2025

Reference 27

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no resolver link, observed 2026-08-16T10:12:42.463018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.463018Z digest=sha256:75348c0df610056b44eb75954048a23b06064a4e6630e10854c9cccb287361bf

Observation f726a072-3d49-4988-802a-ee11de44a5d0 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 28

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unresolved
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.467340Z digest=sha256:af74c10de8a6f2dbbc56dc7d4cc678ffbc92a2bf3df62572f7aaa94007a3605d

Observation 329f6e91-48d9-4910-bc69-8f86c807b784 · outbound

This paper cites A Controlled Study on Long Context Extension and Generalization in LLMs.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation A Controlled Study on Long Context Extension and Generalization in LLMs

Reference 29

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no resolver link, observed 2026-08-16T10:12:42.471651Z

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source=arxiv_source observed=2026-08-16T10:12:42.471651Z digest=sha256:4513a94e94d71c515b954af6a3e15d4fc38ec2d9b12bd231b104287dabeca8f6

Observation e6d73cbd-b5c9-47a4-9098-5dbfaa4947a3 · outbound

This paper cites LongHeads: Multi-Head Attention is Secretly a Long Context Processor.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation LongHeads: Multi-Head Attention is Secretly a Long Context Processor

Reference 30

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no resolver link, observed 2026-08-16T10:12:42.477713Z

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source=arxiv_source observed=2026-08-16T10:12:42.477713Z digest=sha256:fa3c3904b652d7200c03f3f45ce1f74ff8d8585c51dcb9a92530c7cb151985df

Observation c0210d34-5ff6-47f3-b8db-7670e6dc0db4 · outbound

This paper cites Learning to reason with llms, 2024.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Learning to reason with llms, 2024

Reference 31

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no resolver link, observed 2026-08-16T10:12:42.482113Z

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source=arxiv_source observed=2026-08-16T10:12:42.482113Z digest=sha256:bc2c560167fada3a9b856ff24f15fd72d4d2bbb2e7653a0b7dcaa124aef15280

Observation 07b32765-411c-46e1-8205-0775921429d5 · outbound

This paper cites Yarn: Efficient context window extension of large language models, 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Yarn: Efficient context window extension of large language models, 2023

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.486358Z digest=sha256:c37efe8ae5dbbb756469ac79643b74510bcaa2ac24e2191d354d004d31ee7ebd

Observation 6f810eab-bc82-4f5c-bd46-dca2bc29b0b3 · outbound

This paper cites Qwen2.5 Technical Report.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Qwen2.5 Technical Report

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.490362Z digest=sha256:265316d47a411270894872bbfda6401a257ec55b2bbfb5e4f2c6db1def6cb1f6

Observation 792b28a0-dffa-4943-9593-6a7eef285e40 · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Rae, Anna Potapenko, Siddhant M

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.494444Z digest=sha256:ff4b3892fbbe2510029eb49dfc9e4d21e0d73194352bdb0953be06fe3551bb39

Observation 63db74f9-daeb-41d9-a7dd-a489301da04d · outbound

This paper cites Rectified rotary position embeddings.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Rectified rotary position embeddings

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.166455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.498579Z digest=sha256:48e3371ea24c7baf570f2f9204f5176dbd7fafe7fbd56288a78ba497bbb82af3

Observation 0c3c1e17-384f-451c-967e-a9f48df6260c · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Roformer: Enhanced transformer with rotary position embedding

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.152505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.502584Z digest=sha256:055b76bfc1b22caf4e1e72cb2367fe39137f2db458c6d95985c033536f97d038

Observation dfc18e16-2838-49b2-a324-37425d3b31d9 · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Roformer: Enhanced transformer with rotary position embedding

Reference 37

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no resolver link, observed 2026-08-16T10:12:42.506304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.506304Z digest=sha256:056669e527cc2186153dcf92bd1dbc1b1ea0f45e533ba3b8bda8df6b45533c4d

Observation 1ac0a85f-adb1-4743-8123-2c145d131f5c · outbound

This paper cites Attention is all you need.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Attention is all you need

Reference 38

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no resolver link, observed 2026-08-16T10:12:42.510452Z

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source=arxiv_source observed=2026-08-16T10:12:42.510452Z digest=sha256:6936158c419931ae202bb63c34571d504bd36f2810181bd72a872c584d1230c2

Observation 217f177c-89fe-47ce-be45-88682d1fd1ef · outbound

This paper cites InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Reference 39

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unresolved
no resolver link, observed 2026-08-16T10:12:42.514460Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:12:42.514460Z digest=sha256:70b08f5c0007e981849990a676648d9780ec5c691cbe937561202205b2d159a1

Observation 8289a1a4-5a13-432d-9ae3-d14ad6e2e4c1 · outbound

This paper cites Efficient streaming language models with attention sinks, 2023.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Efficient streaming language models with attention sinks, 2023

Reference 40

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unresolved
no resolver link, observed 2026-08-16T10:12:42.518720Z

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source=arxiv_source observed=2026-08-16T10:12:42.518720Z digest=sha256:0a91c8db27089203764428187bfc0fa1691298f4ec5fcd655c1d644d16c4dcba

Observation 5b717c0d-3082-47ba-8a10-8fc05d96b389 · outbound

This paper cites Efficient streaming language models with attention sinks, 2024 b.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Efficient streaming language models with attention sinks, 2024 b

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-16T10:12:43.108736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T10:12:42.522701Z digest=sha256:be3b9f5175d970de6570289028d75d8f0a165e18bd220d009108a5d6e1af0abb

Observation 8184d268-409a-4886-a8b4-19829f700d2e · outbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Effective Long-Context Scaling of Foundation Models

Reference 42

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no resolver link, observed 2026-08-16T10:12:42.526808Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:12:42.526808Z digest=sha256:6fda5adac95b60b7224cfc6de51fbbea74d63e5912b7f40b3695e1ea444284b5

Observation 55c2d31b-d0cb-416f-a028-47b72315e428 · outbound

This paper cites HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly

Reference 43

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unresolved
no resolver link, observed 2026-08-16T10:12:42.531077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.531077Z digest=sha256:95bcb56457ff9927525f8f4467ecd757bb599154cd012f2c0b6687c4bd499840

Observation 72f9bd0a-50e7-41c6-b46f-1c61cc23fe39 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 44

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unresolved
no resolver link, observed 2026-08-16T10:12:42.535523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.535523Z digest=sha256:0609d37b8363a7432779b745c7a8b6ab2c32f4ec8b191135c1edd4af345f0744

Observation 39b10e82-740e-4244-9e2c-2e6846d08f3f · outbound

This paper cites AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Reference 45

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unresolved
no resolver link, observed 2026-08-16T10:12:42.539584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.539584Z digest=sha256:609f73a1953e7bfe84d57aab572cff52c361ae044d9643c0b7eac1cfb04e3795

Observation 41c9c7cd-53ed-4a78-a32f-a4f30608091d · outbound

This paper cites HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position

Reference 46

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unresolved
no resolver link, observed 2026-08-16T10:12:42.543716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.543716Z digest=sha256:2d67261cd03a0b64c8b5f41a71f3e285e49160ecca7cac457c54cd49f9514650

Observation fe77aa27-9888-4509-bd27-f504197bea84 · outbound

This paper cites $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Reference 47

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unresolved
no resolver link, observed 2026-08-16T10:12:42.548152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.548152Z digest=sha256:195af3985f9beee2d04a504306e162a3c4d1d1c985e2f81795a337b2754a9984

Observation 328a62cf-8d92-4c77-890b-80f22fe14004 · outbound

This paper cites @esa (Ref.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation @esa (Ref

Reference 48

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unresolved
no resolver link, observed 2026-08-16T10:12:42.552327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.552327Z digest=sha256:390b16dbf00ac5353da449f0988de3e3ac7688ec05087591a5c0a244761886e3

Observation ea97e65b-14cd-4d34-808d-c93abcd269b1 · outbound

This paper cites an unresolved cited work.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-16T10:12:42.556599Z

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source=arxiv_source observed=2026-08-16T10:12:42.556599Z digest=sha256:87c922bb621cb0676270f4a227280997d65819c3847911b8da9792f33e524fa8

Observation 08c2d335-f43a-4c69-adc8-45a8241267fb · outbound

This paper cites Language Models are Few-Shot Learners.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Language Models are Few-Shot Learners

Reference 50

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unresolved
no resolver link, observed 2026-08-16T10:12:42.560499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.560499Z digest=sha256:c24f52df2c9aca60a4bc27fb0ed4e5ea03aa5a603c211abb1b690b7397413fbf

Pith citing papers

No inbound Pith citation observations are available.