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Paper Citation Record · LEDGER

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding

As of 6 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.27735.

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

pith.paper-citation-record.v1
2607.27735 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:28:04.851282Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

58 of 58 outbound references displayed

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  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b78001bd-079e-4453-a279-eb51dabebb7d · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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Observation a5249efb-0a1d-438c-a971-5e9d4f56aa5c · outbound

This paper cites Classification Problem Solving.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Classification Problem Solving

Reference 2

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source=arxiv_source observed=2026-08-01T02:28:04.690685Z digest=sha256:4f8f50bd006e745a3270f8777990649e2f23cef3f9eccb14b9f4556fd2a3413f

Observation 3950e816-c7f8-4fed-99ee-dc506280ef8a · outbound

This paper cites , title =.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding , title =

Reference 3

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source=arxiv_source observed=2026-08-01T02:28:04.693874Z digest=sha256:d74ca9b60f14fb4db8210faef212c7252a2a0ad7e05823f25f0788b3e5e4b3c7

Observation 8ee90744-8d65-4dbd-9560-ccc9954c74df · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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source=arxiv_source observed=2026-08-01T02:28:04.696750Z digest=sha256:47b823ec316e3da4725406c03f8b27ec7281689e848d1204b756dd18c08156bc

Observation 9b6cee3e-e2d5-4467-b253-beded9e48d1d · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Clancey and Glenn Rennels , abstract =

Reference 5

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source=arxiv_source observed=2026-08-01T02:28:04.699800Z digest=sha256:fb0f0525c80289426af6ff8eea80e99f56599909927e863034211754180d4161

Observation 5fdb6238-b6d3-42b6-ac6e-65afab9fe0ba · outbound

This paper cites and Rennels, Glenn R.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding and Rennels, Glenn R

Reference 6

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source=arxiv_source observed=2026-08-01T02:28:04.703165Z digest=sha256:ebf87f3121a0a3b478d449c17a6f91d37bed60f1bcc14fdbb50e9441ebcc531e

Observation ee80a098-5fdc-454e-b18c-1b55c9cdf08f · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Poligon: A System for Parallel Problem Solving

Reference 7

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source=arxiv_source observed=2026-08-01T02:28:04.706316Z digest=sha256:5e6504a50a00ed4d7ab9aeff71442b164286b5803b53cbbf9a26bef24de31b2e

Observation 5ace8db4-d389-48de-96ca-11f93128e46d · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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source=arxiv_source observed=2026-08-01T02:28:04.709251Z digest=sha256:a1e67aea5b2e7a39b83d79d17048a6b3e40a5ecf3b49808223aed6914f2cabbe

Observation d962f515-521a-4d50-8ee9-ccabadf057fd · outbound

This paper cites The Engineering of Qualitative Models.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding The Engineering of Qualitative Models

Reference 9

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source=arxiv_source observed=2026-08-01T02:28:04.712600Z digest=sha256:74afd12705098a736a77ae4c790e18a687c6a6b6f3234520a80dd450b8991be2

Observation e8927db2-45a2-46ca-acf2-ec7208ed61e3 · outbound

This paper cites 2023 , eprint=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding 2023 , eprint=

Reference 10

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source=arxiv_source observed=2026-08-01T02:28:04.715367Z digest=sha256:a83a18e5eb3361878f039dbbd5f082dd5bab8c84ef03df26a8096aef4217d264

Observation 857768a7-5095-4343-90a6-febcfd26f0cd · outbound

This paper cites Pluto: The 'Other' Red Planet.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Pluto: The 'Other' Red Planet

Reference 11

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source=arxiv_source observed=2026-08-01T02:28:04.718224Z digest=sha256:fc42a6a5909bc12c10f899b95163e5af9aeaae761c5d842beb98039a7a328184

Observation 34dcf76b-da2c-4530-8be9-4a7a4f09813b · outbound

This paper cites OpenAI GPT-5 System Card.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding OpenAI GPT-5 System Card

Reference 12

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source=arxiv_source observed=2026-08-01T02:28:04.720989Z digest=sha256:f1484e9d2ef7cde925f17d6fad29e9986929da9a31089f9184c37dc64cf22ddc

Observation 4b3548c2-06b9-46ea-9d58-99149f477545 · outbound

This paper cites arXiv preprint arXiv:2601.11659 , year=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding arXiv preprint arXiv:2601.11659 , year=

Reference 13

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source=arxiv_source observed=2026-08-01T02:28:04.724133Z digest=sha256:726cdad6ad2b3b81388af2365eaa61b4d0e03ff39e2a7395ef82cdd64c244b6c

Observation 2fdef4bb-ad22-44df-abfe-383407aafd8a · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 14

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source=arxiv_source observed=2026-08-01T02:28:04.726858Z digest=sha256:45dd3463e2afa87a075ee7ff164922a0af8c2417eea26518e00f9227fd2b68ef

Observation f095b3c9-a935-4a28-8283-51f049bc1536 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 15

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Observation d29ef71c-a039-4495-97ed-11aa9025a937 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Fast Transformer Decoding: One Write-Head is All You Need

Reference 16

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source=arxiv_source observed=2026-08-01T02:28:04.732407Z digest=sha256:3ede8f1fd8f584f34f10438d2c39209f53c53c67f84ebb7ad5c57c309707e7e2

Observation 5df6728f-23cf-4202-af4e-6ab08bfc3134 · outbound

This paper cites Proceedings of the 29th symposium on operating systems principles , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 29th symposium on operating systems principles , pages=

Reference 17

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Observation 01beb76c-3809-4cff-9bf5-43da98132362 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Accelerating Large Language Model Decoding with Speculative Sampling

Reference 18

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Observation 847a6e12-d6e8-4c29-acbe-1a5ac423ab69 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding International Conference on Machine Learning , pages=

Reference 19

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Observation 9221c421-821a-4065-91aa-4c81f4ae347a · outbound

This paper cites Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 , pages=

Reference 20

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source=arxiv_source observed=2026-08-01T02:28:04.744653Z digest=sha256:219ec28b366c23531499cb1b3efab4cfaf663a4b1ab53f50f17d339f5f3e9004

Observation e71874ae-f797-46f6-b80d-4b82e329605a · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 21

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source=arxiv_source observed=2026-08-01T02:28:04.747331Z digest=sha256:069792500fe8c80d71be7d1f75f222202bcfb50b0d8acc96d1d22ab72601233a

Observation 4231b8d1-eb2a-42bc-a6bf-0e6abc901ac4 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 22

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Observation ff023fc6-d25c-48e4-906e-b4c6542fc948 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 23

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Observation 9adf66fa-fa70-452a-9719-71bc02c33e52 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Efficient Streaming Language Models with Attention Sinks

Reference 24

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source=arxiv_source observed=2026-08-01T02:28:04.755862Z digest=sha256:add97db5397960fa89f7df796877ba28d0d81c937ddde27b3fbc2dcc6a8e1f36

Observation 01181eb5-b951-4be9-bcaa-2264d4d27346 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 25

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source=arxiv_source observed=2026-08-01T02:28:04.759285Z digest=sha256:78d256199e22a6417b4431295f3c235037ffd127ff2e8aa2e6f1b8f02011c6af

Observation f7bebff3-3a4f-4bd9-bf5e-50bb492d3501 · outbound

This paper cites 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24) , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24) , pages=

Reference 26

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Observation b1cf1ce2-a857-4359-bc30-740dec244d6c · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 27

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source=arxiv_source observed=2026-08-01T02:28:04.764546Z digest=sha256:33c25652b0680b11a9c9253ea641f7118a5039c8a20666d0e56fbf45eb620cde

Observation 09376490-6931-4b09-b849-a35fe24c8cc9 · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 28

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source=arxiv_source observed=2026-08-01T02:28:04.767168Z digest=sha256:d66659b92b8df530bbdd62398a3a873734d1933de2702fc6234b68f94fdfcc59

Observation 717c86fc-242b-4dea-8406-f5364976aade · outbound

This paper cites EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Reference 29

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source=arxiv_source observed=2026-08-01T02:28:04.770082Z digest=sha256:e4bfd29e923b758bfcd3b5ba76733e2c6fe95b4af3242b98661256adc74a3d05

Observation a46b54ec-6ab4-4f90-8565-bbb28108d61c · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Better & Faster Large Language Models via Multi-token Prediction

Reference 30

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source=arxiv_source observed=2026-08-01T02:28:04.772880Z digest=sha256:bc61f33e1d8112da99f4f9df2349ccbec751cba5960e3683deabd9f63dd61793

Observation 44627741-e9ec-4b81-a030-9d8a93c10901 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 31

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source=arxiv_source observed=2026-08-01T02:28:04.775717Z digest=sha256:b5bd3e621ebe1ec7643506a1efc94e7b63b6f5d9e541f267b65ba22c8b751619

Observation 34685473-2c52-4ada-8074-33d15d87d7c5 · outbound

This paper cites Online Speculative Decoding.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Online Speculative Decoding

Reference 32

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source=arxiv_source observed=2026-08-01T02:28:04.778477Z digest=sha256:8c99a5028e806ce8347867a32558424a57a44bcb44b7643c11be5acebb741c59

Observation 63f985f8-6ca4-4e31-b1bf-ad2607abdc89 · outbound

This paper cites RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding

Reference 33

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source=arxiv_source observed=2026-08-01T02:28:04.781491Z digest=sha256:cfb9fa62e329bf041f2d81e4ca893843caab73cb24e16c646c18f8eb0b04f4d1

Observation 7c7ba51d-07d8-42be-9d79-0aa6fcac4444 · outbound

This paper cites MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding

Reference 34

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Observation d1666edf-d0fa-49f7-a70e-a030627fb026 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 35

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Observation 64863c10-0eac-4a3a-a0d8-8c760b7ad4b6 · outbound

This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 36

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source=arxiv_source observed=2026-08-01T02:28:04.789765Z digest=sha256:621bb7c3deb72c0dc7504c12e5f30033a961fc16e0357448390a0cbc86a1f34b

Observation 586059d7-eb61-48cd-ba0c-75d5edefabbd · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 37

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source=arxiv_source observed=2026-08-01T02:28:04.792566Z digest=sha256:de1abdf3dadb192935b0dab01130bc3de82817e9a6524fc82f35adefc297e021

Observation 1c1f8247-a94b-4dcd-9d0f-bc8e9c11d4d6 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 38

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.795320Z digest=sha256:2ff85f089117d334466c854c019cbbae3b8316635f65b247a54b8944b1da2b80

Observation a56c88a4-e5c5-47d3-9db5-576379693dde · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 39

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.797987Z digest=sha256:51ee928c6790c36c87583feea9d2578d3d832ae9073065c877a822c05933bf71

Observation 986d81b0-5350-4d83-adb7-b1ab4f274df0 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 40

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no resolver link, observed 2026-08-01T02:28:04.800851Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.800851Z digest=sha256:209f640c6976bc772273ade317e541beb19a1925a7bc59d813524b0c62959722

Observation 11d286cb-7345-43a3-b217-d4b87c47c28b · outbound

This paper cites The Llama 3 Herd of Models.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding The Llama 3 Herd of Models

Reference 41

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source=arxiv_source observed=2026-08-01T02:28:04.804140Z digest=sha256:676d97d3c7a347e8b39724a0681d44bf1d908d33f92ed02b8e124a77314d31c3

Observation 4772a483-45c4-41c5-8126-2f02c4003b83 · outbound

This paper cites Qwen2.5-Coder Technical Report.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Qwen2.5-Coder Technical Report

Reference 42

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.807023Z digest=sha256:779c9b366e2da56b884a6f809d8e50ae92e77c69942e34df7b7c50b4db59a44c

Observation 0a8edb0c-f290-4ee3-b545-af735fa225d4 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 43

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no resolver link, observed 2026-08-01T02:28:04.809898Z

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source=arxiv_source observed=2026-08-01T02:28:04.809898Z digest=sha256:08e0edf64f9de0665da3ed888b541f3d0c061775d9be9644396c33cd79ad68a1

Observation 664647d4-b938-4171-9588-a309a5a4455c · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in neural information processing systems , volume=

Reference 44

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no resolver link, observed 2026-08-01T02:28:04.812427Z

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source=arxiv_source observed=2026-08-01T02:28:04.812427Z digest=sha256:b0fe8e77e52af1766a50dbe5b653ac84fb5ae8eea038ebb1e1e821aef2d2c783

Observation aab47e77-9905-4e3b-8755-0e33208a28a6 · outbound

This paper cites Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=

Reference 45

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no resolver link, observed 2026-08-01T02:28:04.815153Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.815153Z digest=sha256:5699c9834764c671ccafc4d3682c94dfdb3bb990b861b38c703aea4356c9c74c

Observation 3ebe6b02-9723-4de0-8acb-d61a06759eb1 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 46

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no resolver link, observed 2026-08-01T02:28:04.817897Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T02:28:04.817897Z digest=sha256:964483bc732d866b25a26be8d729583e2d5c80dbbca85e1d12f758bbd937121d

Observation 0d915841-15af-42c6-9abb-d5fcebcf4438 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 47

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no resolver link, observed 2026-08-01T02:28:04.820426Z

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source=arxiv_source observed=2026-08-01T02:28:04.820426Z digest=sha256:7eac1f016ec5312eda7a5550c566fce152cc0073f4876afca0aa5aee156e8136

Observation 3e9bfc5b-40a7-4b91-bce5-5bd1552012a3 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 48

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source=arxiv_source observed=2026-08-01T02:28:04.823026Z digest=sha256:1070e8c883913597efafcce1aaccbe6508ad41385f43ec92d65743cd085b89fa

Observation c50ed756-db11-4cfe-bac4-210dbe89662d · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 49

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no resolver link, observed 2026-08-01T02:28:04.826169Z

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source=arxiv_source observed=2026-08-01T02:28:04.826169Z digest=sha256:d903bc360f532a25031a1e7d427f8f466a1113094c52efd8ef9b9de393f573b7

Observation 18c996a0-48e2-4ed0-9777-aaed2d894823 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 50

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no resolver link, observed 2026-08-01T02:28:04.828798Z

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source=arxiv_source observed=2026-08-01T02:28:04.828798Z digest=sha256:0e5626cf918ac6e989fcb356844a1ecd563bf01e723ebf2775565336a3b9786a

Observation 7633c5e8-3293-4749-ac5a-d0fd741a5434 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T02:28:04.831386Z digest=sha256:7c9a3bc06a7f8fadc811ea9181e7f662086666ad7f20d503d806ddf40cb43100

Observation 3c1aa857-587a-4a6c-975c-7ccedd3094b7 · outbound

This paper cites TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

Reference 52

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source=arxiv_source observed=2026-08-01T02:28:04.834122Z digest=sha256:423a7b65474a49f2fea9ee06d93972ff302500706751c1864365a87c749a6117

Observation c90dd767-134c-4b35-8e69-c481f9e5ddb5 · outbound

This paper cites arXiv preprint arXiv:2512.01278 , year=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding arXiv preprint arXiv:2512.01278 , year=

Reference 53

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source=arxiv_source observed=2026-08-01T02:28:04.836964Z digest=sha256:c4ca40290d226cab0ec2868c598efbed1f627cbcdcc07a77b3302b1e4089d8e3

Observation 032fd074-5a64-481b-86ca-32e9d84ba27d · outbound

This paper cites Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention

Reference 54

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source=arxiv_source observed=2026-08-01T02:28:04.839586Z digest=sha256:a26cc17d27aa5d3c94085f4ee0b346e4fc0edc180a296d439451e7a970781f0f

Observation 1525fea9-3a33-47b0-b838-9c9f3d06f47d · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 55

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no resolver link, observed 2026-08-01T02:28:04.842350Z

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source=arxiv_source observed=2026-08-01T02:28:04.842350Z digest=sha256:5df4f4d830c5690a0c8aaad0eb625773867b29ef432bf59aeebbb7dd8004b36b

Observation 696f17bb-ccea-4c23-8eea-c00687e69305 · outbound

This paper cites AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability

Reference 56

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source=arxiv_source observed=2026-08-01T02:28:04.845296Z digest=sha256:d392f8ac7ddbd4d334bd1595ac6364bd8444d8b923e672099696c0867ed211bb

Observation 12eca8ac-832f-4b00-b9ec-1bfd7669900a · outbound

This paper cites Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models.

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models

Reference 57

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no resolver link, observed 2026-08-01T02:28:04.848394Z

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source=arxiv_source observed=2026-08-01T02:28:04.848394Z digest=sha256:d5ca513265a9587cf41e4ade3a8df5bf96a15646610e35debf14a1a6309f466f

Observation f83ae6e1-016a-4640-ba94-e8d7910eb051 · outbound

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

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 58

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no resolver link, observed 2026-08-01T02:28:04.851282Z

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source=arxiv_source observed=2026-08-01T02:28:04.851282Z digest=sha256:59d7f02a877629af8d437a8fcf23be6da21ee2fe75689e462eb1804e0638ef64

Pith citing papers

No inbound Pith citation observations are available.