Paper Citation Record · LEDGER

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

As of 7 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 3 inbound Pith citation observations for arXiv:2410.13846.

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

pith.paper-citation-record.v1
2410.13846 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T18:31:35.391674Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:37:54.191445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T11:32:35.145854Z

Reference resolution

43 of 43 outbound references displayed

verified exact36
verified fuzzy3
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a08f9970-49b9-4462-b4ed-99e41e2a373a · outbound

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

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.564681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f10df9e9-f58f-4e21-87bb-e1c44be83d44 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Titans: Learning to Memorize at Test Time

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.377077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 722d0698-5d71-45f2-bdbd-257ec7b5b609 · outbound

This paper cites Longformer: The Long-Document Transformer.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Longformer: The Long-Document Transformer

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.512354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 65704c0f-3336-4321-920c-eff8fd961f2d · outbound

This paper cites Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.570139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37d0dc69-a3d4-4e5d-9872-0e82b4644f07 · outbound

This paper cites RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.576138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c00b63c8-c9a6-4544-978d-b68ed14a0472 · outbound

This paper cites Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.446287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 254a44ab-5a68-40b2-8bbb-b41b57724a7a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Training Verifiers to Solve Math Word Problems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.370643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ab402e1-e849-4eb2-8b4c-53ef7f436c55 · outbound

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

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.382588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 049f0332-d0cc-4847-811a-e357e04d97f2 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.532033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33723dc7-91db-4d02-a714-deb19bd93a21 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T18:33:19.409017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e319afb-a8f9-4fe9-b964-7f105359bf24 · outbound

This paper cites Flex Attention: A Programming Model for Generating Optimized Attention Kernels.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Flex Attention: A Programming Model for Generating Optimized Attention Kernels

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.394252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f98be799-441e-4776-aded-2d432df5e778 · outbound

This paper cites The Llama 3 Herd of Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation The Llama 3 Herd of Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.537891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06ada5f1-c8e2-4072-bab6-d8842db41d73 · outbound

This paper cites A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.544347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ea583d7-0dae-4766-a84e-17d53136cc03 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Gemma 2: Improving Open Language Models at a Practical Size

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T18:33:19.559825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 876eb71f-586e-46e0-ac59-0a0aed24a00d · outbound

This paper cites GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation GoldFinch: High Performance RWKV/Transformer Hybrid with Linear Pre-Fill and Extreme KV-Cache Compression

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.592191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 977a68e3-5b32-4682-8082-80f8c95c8737 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.453039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 732847fc-9769-4102-8a1b-94af28b5d644 · outbound

This paper cites When Attention Sink Emerges in Language Models: An Empirical View.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation When Attention Sink Emerges in Language Models: An Empirical View

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.357035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27de3fbf-9b34-431d-8dde-ec5ef769926d · outbound

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

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.458385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4852f13-fcc0-4f8c-a93d-31cf90cab2c9 · outbound

This paper cites Mistral 7B.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Mistral 7B

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T18:33:19.426193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 454486f0-dc62-4530-a308-9fe3979295f9 · outbound

This paper cites Finetuning Pretrained Transformers into RNNs.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Finetuning Pretrained Transformers into RNNs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.364814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d1512fb-5401-4e5a-b585-ab8934f029a8 · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.550020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 869d4404-88a0-4605-8685-cb491ed0e204 · outbound

This paper cites A Survey on Large Language Model Acceleration based on KV Cache Management.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation A Survey on Large Language Model Acceleration based on KV Cache Management

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.497274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2fbb934f-8472-4c6c-992a-1c9425ad8e26 · outbound

This paper cites Linearizing Large Language Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Linearizing Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.349666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 931a67b8-c5e2-4e72-852d-0ffd7cb431aa · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.581111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ffe77f9b-36cd-461f-8c2e-dbb838f22c99 · outbound

This paper cites Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.343855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 529495f3-8246-468e-b5c9-376b845d6881 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation RWKV: Reinventing RNNs for the Transformer Era

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.439043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2f4e469-cf29-4ec6-81df-2559fb36797b · outbound

This paper cites Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.483122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b128a49c-2c95-4c1a-8888-387d37b56ae1 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Fast Transformer Decoding: One Write-Head is All You Need

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.555028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5219d9de-e731-44a0-90d5-02d903ff308e · outbound

This paper cites Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.467156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76089141-4f48-4e51-8561-9c31cf68f0cb · outbound

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

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation You Only Cache Once: Decoder-Decoder Architectures for Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.415000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e480816-1fd1-4fe9-a7da-b2b92b7d5375 · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.421024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5fd19475-af0a-4de9-825b-47e3bee32679 · outbound

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

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.596734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 629d0469-8138-4523-90c8-69168619152b · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.586630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3e5f2d2-b669-4ca8-81eb-47de6ea97466 · outbound

This paper cites PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.489905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 800815d9-01ae-4bdf-bbfc-72a7ae93a2f2 · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.474887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca559c28-8d52-4068-a408-0d456a2caf2c · outbound

This paper cites Effectively Compress KV Heads for LLM.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Effectively Compress KV Heads for LLM

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.338559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e9c5c10-0239-4f84-985a-a16e0eaf480f · outbound

This paper cites KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.433383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1db00b41-8932-4496-a3c3-516cd327e1e1 · outbound

This paper cites LoLCATs: On Low-Rank Linearizing of Large Language Models.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation LoLCATs: On Low-Rank Linearizing of Large Language Models

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:33:19.400833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 190f646b-99d6-4527-99ea-26a17bafab65 · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-23T18:33:19.388291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4d75c5f-04b2-4f3b-b0f6-6a42ab08c783 · outbound

This paper cites We followed all the hyper-parameters outlined in the paper, except for the number of retention tokens.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation We followed all the hyper-parameters outlined in the paper, except for the number of retention tokens

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:33:20.273419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8abf7087-a767-4551-a975-d90b060c5f98 · outbound

This paper cites an unresolved cited work.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-05-23T18:33:20.276605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62c2d360-d2e3-48bf-a95f-dacbf2c83f43 · outbound

This paper cites The analysis is conducted using LLaMA3-8B-Instruct.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation The analysis is conducted using LLaMA3-8B-Instruct

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:33:20.267146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdfd96a2-2be4-45ca-85e6-c69a1a46b6dd · outbound

This paper cites Given any two conjugate numbers u, v ∈ [1, ∞], i.e., 1 u + 1 v = 1, and 1 ≤ p ≤ ∞, for any A ∈ Rr×c and x ∈ Rc, we have ∥Ax∥p ≤ ∥A⊤∥p,u∥x∥v and ∥Ax∥p ≤ ∥A∥u,p∥x∥v.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Given any two conjugate numbers u, v ∈ [1, ∞], i.e., 1 u + 1 v = 1, and 1 ≤ p ≤ ∞, for any A ∈ Rr×c and x ∈ Rc, we have ∥Ax∥p ≤ ∥A⊤∥p,u∥x∥v and ∥Ax∥p ≤ ∥A∥u,p∥x∥v

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:33:20.280301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation d2868931-587e-43ee-933d-eebd682c6fba · inbound

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

MoBA: Mixture of Block Attention for Long-Context LLMs LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T00:04:05.393377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2c065dc0-0af8-4a2f-8899-e9ac934bade0 · inbound

The Pitfalls of KV Cache Compression cites this paper.

The Pitfalls of KV Cache Compression LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:04:05.393377Z

Source-reported events for the cited work

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Memory for Large Language Models cites this paper.

Memory for Large Language Models LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

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