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Paper Citation Record · LEDGER

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers

As of 23 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 0 inbound Pith citation observations for arXiv:2607.04819.

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

pith.paper-citation-record.v1
2607.04819 v2

Coverage vector

measured 100 of 115 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:21:05.570023Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

100 of 115 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52d1524e-802d-4e52-a694-89ef3fd1077f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 1

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:0d415315d4ea48c10a2cf38edd289cef2b960edd21636253b603ff7dd9083e59

Observation e5c4ab33-630f-4731-b533-a7a5ba1d735b · outbound

This paper cites Advances in neural information processing systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in neural information processing systems , volume=

Reference 2

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f96f93a632df55391813c1eb8f47a89de9b9150883e35995067bb8dc655878bd

Observation 551606ef-9921-41a7-91d5-abb37e393e49 · outbound

This paper cites Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

Reference 3

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:1dab6f65074c0ec7c960b5975e0dfa09201a42238455d25217727d1d86ccfac6

Observation 85f14ac5-1c0a-4310-a2d5-6e8476e46a73 · outbound

This paper cites arXiv preprint arXiv:2507.15897 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2507.15897 , year=

Reference 4

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:57532bfe09f871091f923bed76a40178156380dee29e58ee57f6fb45eaeca9d7

Observation 3b78a112-9207-4b31-a4aa-9b2e84e748e0 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Progressive Distillation for Fast Sampling of Diffusion Models

Reference 5

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f82b6d3b686d1e10a74a806a6137795ec29151ca62d8cba17f870ceea4af6f0f

Observation 54494c9d-9c89-4970-8ecb-d3a71784879a · outbound

This paper cites International Conference on Machine Learning , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Machine Learning , pages=

Reference 6

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Observation 4477dd2d-36bf-43d0-ad82-c560c7c6a31e · outbound

This paper cites arXiv preprint arXiv:2509.24526 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2509.24526 , year=

Reference 7

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2ebe6b94e14ddd977c81e57c10a9c625637aefc6d1edb5b2759c312a5b3bc683

Observation d2eeb3ce-f270-4ee4-b65a-6731d0dc3609 · outbound

This paper cites arXiv preprint arXiv:2511.23342 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2511.23342 , year=

Reference 8

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:83bb5a5cc5ad174ddb1c5d1b02e03d88cf20c471d86edbd0123255a025f0e4b4

Observation abed0e95-fadd-4fb2-9b14-807fdd998807 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Mean Flows for One-step Generative Modeling

Reference 9

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2fd1154063560b91114ac69efe30aba22460ca228a1f85fa01f97e833f277da9

Observation 4b39a425-4f0b-4358-a237-b4e2fbf7be7f · outbound

This paper cites Flow map matching with stochastic interpolants: A mathematical framework for consistency models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 10

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:1c45a8c0266f05728b5c3745459a29619066440e837f23528e4fb40edf679e71

Observation d01213aa-e802-4959-b182-b912e0ae6d82 · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 11

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:5bab6d256791e7ba4c8a0df954f1f5b2554a5b5da64380c4bef4ecdd4d0f8555

Observation 20b726de-a635-4c9b-b3e8-7a1baa9feffe · outbound

This paper cites Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Reference 12

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:17359b5d0239ca047dc97145eb44f7cf431959067ee92ba4b3c3ef0ae6eb0a86

Observation 99c0f24d-421f-475e-a0c9-1331e60399f3 · outbound

This paper cites Large Language Diffusion Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Large Language Diffusion Models

Reference 13

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:3169525e0ef1a6c3743e585ebadba5af1bf4400a85177ac744dcc50569575bab

Observation dc203fb6-5e50-4cd3-96d8-3a19794f51ba · outbound

This paper cites arXiv preprint arXiv:2509.26488 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2509.26488 , year=

Reference 14

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:81b187aa1e5a426d0e8fa2a67fc6a241d291285499f0496d6f0fcb8b8f44db8b

Observation 93ebe841-75ab-4681-b6e2-e8e12d7b3456 · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 15

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:beb70c465eaa19a05170b9877491b0043742125554e3c63c9657072e35423b9d

Observation eedad5a1-7296-4051-bcfd-912f5f887fba · outbound

This paper cites arXiv preprint arXiv:2510.06303 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2510.06303 , year=

Reference 16

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:5b1c334e3534f701aab97d2ad3da4a7eec758d985dba30b841fccb03f44e01be

Observation 053c7971-7d1e-4ebe-afa4-09cb187848cc · outbound

This paper cites Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding

Reference 17

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2a05da808ba95ee73cb012a390f3159a237edb73b8557b4689d29c079b8189a5

Observation bbe93430-dbbf-4632-86ac-bffbc59e8655 · outbound

This paper cites Improved Techniques for Training Consistency Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Improved Techniques for Training Consistency Models

Reference 18

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:8efabe8fc8d73620e861d71ac4b30377a9c74483cba39f4c0d900bdb2abe3ac7

Observation 1c6bdeff-f391-4feb-a16e-5c0487b1ee1b · outbound

This paper cites Beyond Autoregression: Fast LLMs via Self-Distillation Through Time.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Beyond Autoregression: Fast LLMs via Self-Distillation Through Time

Reference 19

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:970f610e871b6d63b66e14da3c5d88f6fa7aec89de616ab750d585c2e5ad7c68

Observation bcf309ff-7683-4b97-a418-93d1261588de · outbound

This paper cites ACM computing surveys , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers ACM computing surveys , volume=

Reference 20

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:64085f35fe21f9abbc26f2c99a7757772a0d9e192b0dc0d452c4e136521e63e7

Observation 9bdbd468-ca38-4ede-9b6b-b65a51eae30b · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers The Twelfth International Conference on Learning Representations , year=

Reference 21

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:5dda900901a2daac27f8202d2ab596556aa9f79c7ffc86a55a3c941dc097a910

Observation b32fbf9f-afa9-4c10-916d-278015236b0d · outbound

This paper cites INTELLECT-1 Technical Report.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers INTELLECT-1 Technical Report

Reference 22

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2bcbbd4b0249c8bcc91259cc215d55e113d98980af45c80f061c5558217ef558

Observation d9044a0a-10c7-4999-8ba4-3666150c2e3c · outbound

This paper cites Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing

Reference 23

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:6f7e3143575af5fe7e51040e8d1e0cac808aa4bad5e8c997fd056a12ca16caf3

Observation 1e8e035a-b71c-44be-82ad-2c7735d67ebe · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Measuring Mathematical Problem Solving With the MATH Dataset

Reference 24

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fc9d9b255c98938e9c88641c83a444a8ed35e2a55a98369ebd79ad08c508e16b

Observation 6d3c3dac-9fe3-424f-a168-d3f1561920f1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Training Verifiers to Solve Math Word Problems

Reference 25

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fd7ab745b556fe010a9f3944229cabefd02baadf34308b53e3332d2ba804127c

Observation cf2657ef-c39c-442c-9961-cca4f5c3de68 · outbound

This paper cites Program Synthesis with Large Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Program Synthesis with Large Language Models

Reference 26

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fe0c6271b62765c3b33654912bb39999b7ed838a5d005423732b4ec1d2572461

Observation 2e25b9aa-6d00-4789-8aae-9630a43e660e · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Evaluating Large Language Models Trained on Code

Reference 27

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:3aff20ae941e830a9c04dccf74a26f7b8487cec20f73e49533d6ee288fc30a6a

Observation f16595ae-ec73-47dc-aa13-748c83fc176c · outbound

This paper cites Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Reference 28

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:276e24639158760c2a7bd9ad436434fc10e8055da290fe68f71e8d7a27202938

Observation 5e3f22a4-6884-4aea-a629-13b35176706e · outbound

This paper cites Energy-Based Diffusion Language Models for Text Generation.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Energy-Based Diffusion Language Models for Text Generation

Reference 29

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:4365736b6738d90a46f5f716fc9bad1c6cf5331d66e24ab64cb99dce3dd68d00

Observation 0dbfbf5d-d8ae-4709-b6ff-7c4c11ad38b7 · outbound

This paper cites Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Reference 30

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:94bc79bb55a88cdf9ec19dcd611dac72a02b6dbc51f0a00b608e0e6e847b6ac5

Observation eae64aa9-aae0-423e-ba89-468622c4932e · outbound

This paper cites arXiv preprint arXiv:2601.07568 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2601.07568 , year=

Reference 31

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:63488541fa08e5b7c9aa37aee2d015fbf3d51b6147ee8a752be670874f17eb44

Observation 70bf8572-b106-4ade-a5a4-fee9de6537cb · outbound

This paper cites A Survey on Diffusion Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers A Survey on Diffusion Language Models

Reference 32

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:e527b1a0998d5b73e5be2810c20974f05d30976968002678350a1487cee2f332

Observation eef39733-e605-43c6-869d-308e4a8ef461 · outbound

This paper cites dKV-Cache: The Cache for Diffusion Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers dKV-Cache: The Cache for Diffusion Language Models

Reference 33

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f552668de9e23c493f16edde1b7ff72c08d83cbbd06194a36ebdb13204c4a651

Observation 5d1f620c-8aa1-4af6-94fe-185cd10fa0dc · outbound

This paper cites arXiv preprint arXiv:2509.26328 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2509.26328 , year=

Reference 34

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2c965dbcf6a1e919ae1b65e9fd46cc36df3e0467143ecbf420c820f1be4ec576

Observation 0d37bf6c-7e9a-48db-aa6a-3820733bd029 · outbound

This paper cites Taming the Titans: A Survey of Efficient LLM Inference Serving.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 35

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Observation 75aafc03-6236-47f3-99e1-712c345fc2a4 · outbound

This paper cites ACM Computing Surveys , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers ACM Computing Surveys , volume=

Reference 36

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:a0cc4323795b07a1cf873ffbf770bdd310c57751faf3378bec605df189bb7c90

Observation b187bb11-9bda-4f00-84c7-abb9b179843e · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 37

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Observation e78e37ae-163d-498a-af31-cfee8a9b2ade · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Dream 7B: Diffusion Large Language Models

Reference 38

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d19b79366aee4f7d7948e3630328620324ac691eb1cf80217428c7ba577c0bfb

Observation 65fbae3f-e410-436f-9565-4661be8a07eb · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers The Thirteenth International Conference on Learning Representations , year=

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:e984386ff9a2095721cf282f121766593cd43792ee847b1ea1847d0f1b9e9dac

Observation 8fda2b7f-d210-47e0-9957-8bbcccc742bf · outbound

This paper cites Advances in neural information processing systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in neural information processing systems , volume=

Reference 40

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:7c4f6e33824a4394947f8ed520f680f5b7fdc0df2d57480904a0d8baa687a415

Observation 37e685fd-737c-4038-b043-5f642786e226 · outbound

This paper cites arXiv preprint arXiv:2505.21467 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2505.21467 , year=

Reference 41

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:55adadc98bf46542c110759620f57fd5470752678fbd2c95a32d3a28b2a46d35

Observation 31131f48-ed99-45f2-81d0-3675662c4a98 · outbound

This paper cites dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching

Reference 42

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2e7cc533cbf945f3fbe2ae101e6fd1a0f8d680b38d882cb028abc8f9ca269588

Observation 312a68dc-23e5-44d4-829b-c7b4a92e3836 · outbound

This paper cites arXiv preprint arXiv:2511.19269 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2511.19269 , year=

Reference 43

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:2dbe718e1a5e6fc80b178e97afcd9479a73e9f3b7257e145532828a3f3ce146a

Observation fcbc5e76-9fa0-4cec-81b1-7425a90ab503 · outbound

This paper cites arXiv preprint arXiv:2510.23606 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2510.23606 , year=

Reference 44

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:144aca4337248c3a9b4262a78d0b76c68faccb7ae2d5491c1a75d8c0544e7225

Observation 94401e64-02ce-40bb-be49-af1a680f36af · outbound

This paper cites arXiv preprint arXiv:2511.19473 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2511.19473 , year=

Reference 45

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:7c6019c6c5a698c09607a3e1f9c7393560b37850bded6de0ff9423b1dc28cb2a

Observation f1bc3185-1034-4067-8831-991bdda9f075 · outbound

This paper cites Transactions of Mathematics and Its Applications , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Transactions of Mathematics and Its Applications , volume=

Reference 46

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:c8d51ba1151e878d1a1da0764ee251624f715ed52328528e66eeb3e5843f0822

Observation 819081b3-c843-432c-9556-66089af00528 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 47

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:5a31acb51a45907bf56101654ba7212d176fc6bb0b14ac3750d8297dfb4ddb16

Observation 5291c8f0-62ef-4899-9055-15dc4cfce557 · outbound

This paper cites Communications of the ACM , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Communications of the ACM , volume=

Reference 48

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:ae0dbaf7d7c7d22cbc065012f4a7115647bbc85d873a49d81901c294b9e1b580

Observation 6519def1-0e0b-4496-9e46-66179c50ff64 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 49

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:ebf78829b97b5ddcfcdcf89f4fec2f463938dfc8caeea2a6a84bbd5cc0115aff

Observation 035c7b24-9d93-4f35-905f-18d452b0c9a7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in neural information processing systems , volume=

Reference 50

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:47e44b88ebdbb39c35b55e46c4dd8b855e5c12567bdf9d151d95d6fffa2d6d64

Observation 3d8307ad-4112-49a0-88d4-c079d1ba21a5 · outbound

This paper cites arXiv preprint arXiv:2511.19942 , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers arXiv preprint arXiv:2511.19942 , year=

Reference 51

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:75c33b3023789bdd20f4869710cf6e809142acf126d9171eafc30dfe8d9d3ad3

Observation 98aad5a6-e863-4258-b271-dfca013fff2e · outbound

This paper cites SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers SCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training

Reference 52

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:b8d500f5a71ceaae8fc1715ae53b51785334038b9ce1011767c1eb51b8bfc26a

Observation cf3d9675-6eda-4f6f-b078-254b8f561cf9 · outbound

This paper cites an unresolved cited work.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:80ab36c9491bb0560f1510d57ff4dcddafd5393b6e57427881916cf890078b0a

Observation 3e16b004-0ad6-489e-a57b-dea2c3166154 · outbound

This paper cites Thinking Machines Lab: Connectionism , year =.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Thinking Machines Lab: Connectionism , year =

Reference 54

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:a62aa1545e9a6b0bb19de93dceaa9a6cf5e7c703dcf6eaaf9a7661017856723e

Observation ca01beba-ed81-49d7-a30e-26cc7ba33837 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers The Twelfth International Conference on Learning Representations , year=

Reference 55

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:54fd78ae382a0db7e5253eb3758efb666f36211ea8a2afec4e55d0e7e0948ae8

Observation a6ed8c46-cfdb-422e-861e-a7f426749079 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 56

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d46c8b667bf18fed52f54124f7ecfed36e82dd9c090e773a50433e2f454316a7

Observation 682a9b6d-5286-4288-9715-a62df726380e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 57

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f66b7bdb858aa5d15eb0604cb24fb6834ca650c8c7e86fa5ee9e4a6740933c6c

Observation 4805d07b-c016-478a-af08-8e19a901933d · outbound

This paper cites 2025 , publisher =.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers 2025 , publisher =

Reference 58

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:9d5efbd52a03838e84cfda0fecaabac168774c23763312dfdefdb1864b072308

Observation 022bb0e8-8c6e-41d4-9b15-b9e5a4ca6698 · outbound

This paper cites Hyperloop Transformers.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Hyperloop Transformers

Reference 59

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:891cf8e05f9f196513106250d289f2a8b1bd0215edf1890ad7b6d26bc050f3ef

Observation ca3444cb-e8db-49ea-b458-38a8a3c8e171 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 60

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:7a3aaf2d3a18e3ce093bc2f0ce2ef3809676474117a5a4314b7f11755ebc5079

Observation 559a57bc-c599-4ed4-ac54-7880f277e423 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 61

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:b6df5f9eb68eee8d49c01f6177851a196fea8769109c6e6f5fb6e34e2132ea1c

Observation 6da85d43-a17b-4296-9a6e-64f6fa702fd6 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 62

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:26f7f3c9dcf008af4537bb7b57a2e71d560bac8e4cfd5271f7cabd7cdab73a1c

Observation d777fae1-fe4c-475d-9ff1-8fd8a21bd7bc · outbound

This paper cites 2024 , url =.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers 2024 , url =

Reference 63

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:0d6e237aee41d69ed47781a586eba47628ea95ee9a26734ea4608ff1c2f491a8

Observation 5a0cce4d-bc53-439c-a683-4db23f3db69b · outbound

This paper cites mHC: Manifold-Constrained Hyper-Connections.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers mHC: Manifold-Constrained Hyper-Connections

Reference 64

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:adc3e2ddd838ee0684a6855da4fe860e75edcd89070c1464daa82aaf3af766b0

Observation 07651cfe-f102-44d0-80aa-aa8dba64dbef · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers The Thirteenth International Conference on Learning Representations , year=

Reference 65

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d49678fc1033b9c424971d1581cb2ac25c993a1e054a683c1b002e496d001cc2

Observation 0c6b7d30-70eb-4273-a269-18019dac99ed · outbound

This paper cites International Conference on Machine Learning , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Machine Learning , pages=

Reference 66

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fdd2075173da57da2b421ccb928021483980996419b8323b2eda15977cc9bcf3

Observation c20a93ef-3768-482c-bc59-b155cb3cf22c · outbound

This paper cites Synthesis of Parallel Algorithms , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Synthesis of Parallel Algorithms , pages=

Reference 67

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:c2123a8aa8c040f0e1a579fd1bf2c082fa831c9edc1a51424510fc652b3bc284

Observation bcbdaec7-2e4a-4e08-bc69-e2d720822ce6 · outbound

This paper cites International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Learning Representations , year=

Reference 68

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:84f2ee8ed2e2b592415df5b844f1d10b8dc391561605e53fd9f4ce2993152f48

Observation 7c7a8dfc-3627-4ddb-8286-145c0f19972e · outbound

This paper cites First Conference on Language Modeling , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers First Conference on Language Modeling , year=

Reference 69

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:4dee1a290eb27e9b8c0b4e3f25a459afec026775065e654d0854a183ed86ba69

Observation 9485afba-2355-4535-b4ed-09cec240ec37 · outbound

This paper cites Attention Residuals.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Attention Residuals

Reference 70

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:72469919257ef39086609428f49ba32ac69aec0d6bc8de7c0227b6a6e8e0a442

Observation d559bc59-8b4d-4db9-badf-ff4ce300ec95 · outbound

This paper cites Qwen2.5: A Party of Foundation Models , url =.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Qwen2.5: A Party of Foundation Models , url =

Reference 71

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:4b2217f44a78b604577048998e7949f1edae13dfe9be20fd093309855ee35143

Observation e554cc22-8915-4a7e-aabb-1f350b67e665 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers TinyLlama: An Open-Source Small Language Model

Reference 72

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d62b7b5d7ba2c755ed6bee580189a777e640ea520f74432a1f37efb6001f6d6d

Observation a0b28d63-1df8-4612-bb10-51062813bd24 · outbound

This paper cites Gemma 3 Technical Report.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Gemma 3 Technical Report

Reference 73

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:6d453fa39338ea4aa00c87be5cf801fcbd1c91800fa78686abc6e5692c1c184a

Observation 03c7ef51-da16-42ce-89cb-f26fa37712c6 · outbound

This paper cites DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Reference 74

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:ef467107f21d6cf4d8601b6adf97fa673a901dbb13fb6f7033116702c82561d2

Observation 9d5d1e0f-f9ab-4a50-a0f9-1b2248469c35 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 75

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:833df78ca59295a6590d7c881fcae43b8e4828e4f136677a56f957e8b6eadaac

Observation 17a261ed-59d2-4814-990f-f2c3ba7b5a8d · outbound

This paper cites International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Learning Representations , year=

Reference 76

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:5ddf90f9712dedd1285a298a67438baeb0f3d048b306078382ec032dc58d0cbf

Observation ad749027-6ae7-4597-9ab4-cb58615adae9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 77

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:ba3e0fa4eb36c130facee3a96d925c9a3d3e2b6baea6ea83334ded289127c2f0

Observation c14fd185-f687-4191-96df-7987e7cf63ef · outbound

This paper cites Applied numerical mathematics , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Applied numerical mathematics , volume=

Reference 78

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:a6fadbbfd7da6fd216bc50c7a0f6da3d6c4de2f081465285be93f9e798ea88f1

Observation ce2d5d74-1514-496b-b7ce-4e7463060082 · outbound

This paper cites 2023 , eprint=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers 2023 , eprint=

Reference 79

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:4b851da567013a8b88a08c594c4c0b9b022f0aeb2a4f6af11664d4ad78feaa0e

Observation e9f3178d-3d5e-4c11-a347-07e08146b5fd · outbound

This paper cites A stochastic estimator of the trace of the influence matrix for.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers A stochastic estimator of the trace of the influence matrix for

Reference 80

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:32c0176ef0c85b3f253cae26ddc07a1d04fcad9ea15c505ab455903869925b05

Observation 2df45172-1aab-4da4-8597-eceb22c054dc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 81

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:78fe918c817d9779f8f4a90c298389638129fa6aeeb6895674818bb2643369f3

Observation 49d7fd7a-b53f-4952-a55c-d7d23c9ddc72 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 82

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:84f2c4f17fd11b6c38d6e125a0fd822b5dd4d43c48897a16be6ebd413b8dde31

Observation e2f7caba-6640-4d95-942e-ad7f0e1bcd87 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , pages=

Reference 83

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:a94ac89f3317af20e237da0c90f7f358e370a4fecbc97ca80f38fdcda4f5a93a

Observation b9909efe-2023-4709-a4ad-bf8ae031f091 · outbound

This paper cites Scaling Laws for Neural Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Scaling Laws for Neural Language Models

Reference 84

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d433abdf319415c19e3dcbf370226ab7609c6999a6b038eed76f1c5ac7d45f57

Observation 27ab3f1e-0e88-4309-87e0-a522c03cab12 · outbound

This paper cites Neurocomputing , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Neurocomputing , year=

Reference 85

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:c1a7fb3336a4d9399fa4140d256f5049a3139fa8d528d26959d53ef5ba497555

Observation 322817b4-0bd0-4771-8f0e-8b9594efdf1d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 86

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:d9154f0e47251d1cd7b18444a4995cde6c32d5e60c6c4972fe4d36c8efd99ce0

Observation f026f153-3583-43d9-91cd-e9a23ed6e33b · outbound

This paper cites an unresolved cited work.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Unresolved cited work

Reference 87

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:19c9bfe257b53a081f687f833ecf9acc781911c958a9a2a0ce97500eee1201cf

Observation c5b625e8-b842-4ecb-b509-3eb61bf7411d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 88

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:687f5344970a828572c0f57684f0369fb9cd640e44220945c6f6aeaf5f5fd72c

Observation 4b73d7b2-04ff-4a4f-bf3c-fe2f1d39eb61 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers LLaMA: Open and Efficient Foundation Language Models

Reference 89

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:ad098a9ed4f4a540e618b91fcfdc5029961cb458fc198f6e453763f0d149d8e6

Observation a7c9bbdc-c41a-48e5-95a0-4ec18b706d7b · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 90

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f11a975796794d6473ffc2cb9348740f6f82af97e7756d4cf7d47b896b80b731

Observation 206b0c34-6780-4ed7-914e-658ec2fff06f · outbound

This paper cites International Conference on Machine Learning , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Machine Learning , pages=

Reference 91

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f72114fe9f12605c7a46589239619b512f042c1ff9fad5c8ecc66061a97210b8

Observation 1f8387b4-4976-4383-a903-ec60dd23ad86 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Accelerating Large Language Model Decoding with Speculative Sampling

Reference 92

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:934afc7992e9c8555a8b81b162346e51c1ddd816476b8c90ee9c20ad34344a94

Observation 5bb0fe61-795c-40ff-b04c-1caaae1614b2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 93

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:3f47958728b827529c8173260aff6b660c9c8383c4b2e5dbc6c2b1eb7a728eda

Observation c4b6812a-6069-4933-a7c5-444a3e03d686 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 94

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:422afa6f665f06d9788496ed57ac09c644aff0233f2c81093e989db4546b9b95

Observation 6249804b-86ae-4f63-b5e7-5c881830c5fd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 95

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:f500839761d044e844ea7a1e4a211270c0b65db813fe07b8d63d520359a181d1

Observation 51a6b5d4-d6cd-460c-b7d4-6a0dbf91678f · outbound

This paper cites International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Learning Representations , year=

Reference 96

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:fe4572b107641532185f9fc74a170ee51d2758ef7ca923032ddc4a5fe9561ecf

Observation bf380465-4c6a-4475-9c1a-4e06663f8c42 · outbound

This paper cites International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Learning Representations , year=

Reference 97

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:4c4af3ac60f1da53305785a0a4adadc517c89a6cb843eec3a235508a2d84d2f8

Observation ac6ffe96-51a7-40ff-8eca-b67ad5717c26 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 98

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:374f6039eb8feb148010227f34193ba99c7a473f3425d7275429cef9f02186ab

Observation c75cb7cb-8971-479d-9e39-408163118fe9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Advances in Neural Information Processing Systems , volume=

Reference 99

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:0502fbd9505e265df20c07f58f814d2d1fe8a8873bc446044a22d2bd12d5b0a6

Observation 7f0709cb-2c2a-48e5-9424-699285957209 · outbound

This paper cites International Conference on Learning Representations , year=.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers International Conference on Learning Representations , year=

Reference 100

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source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:46cc4adc022cc7f8f896ad5280262ac026910def530066d8ff9a2a6bb948b063

Pith citing papers

No inbound Pith citation observations are available.