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Paper Citation Record · LEDGER

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.14158.

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

pith.paper-citation-record.v1
2506.14158 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:46.965704Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7245d731-5eb1-48b2-88d1-d2c65734cc8a · outbound

This paper cites GPT-4 Technical Report.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:43.998011Z digest=sha256:51d7b81bc5ff53a963e409fa0bc4b6d8ac3a334e4313e713d1012f34e6eba53c

Observation ccc51f7f-7bd2-4213-8c13-e50e1c798c96 · outbound

This paper cites Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding

Reference 2

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source=arxiv_source observed=2026-08-07T00:22:44.062349Z digest=sha256:3bb7971b5bcd79e1c3ad28c10808c1dc92ab93123013c633b16481bd6d1be2b1

Observation 00541903-e902-4fa5-bacf-e861431f856f · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 3

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source=arxiv_source observed=2026-08-07T00:22:44.130288Z digest=sha256:2cab454e32e15593149bd9d3973838fd46f76951d41e6e1bdceca1e556305a43

Observation e767e7b3-00ac-4a2c-9822-91c359141ad8 · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Accelerating Large Language Model Decoding with Speculative Sampling

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:44.223292Z digest=sha256:bef655147454c26a175f8ead948a5a1cbe6058ee6bbcbb35907f4a8203eb33d2

Observation 5c309f75-770e-4554-9ea9-65780385bb7a · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:44.333907Z digest=sha256:a4596dc922fa01612b16003c16db26689593a50c6b73d18f1cf4962f889838d4

Observation 1a1daf74-78e1-4efd-b841-b698e3a3e286 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:44.475207Z digest=sha256:2001244f8e135d99c4ce7e0866f0ab0d681f8b20bbf39c53335e36f4e945284d

Observation b544baf3-a714-4c4d-b7e8-c31ffbd3353b · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:44.539645Z digest=sha256:3a687ba24878fb39b7afda9a801b69c6cafe381c9d851dc111b407b723f6631d

Observation d5b6532d-6532-4610-bd1f-2b4119195c19 · outbound

This paper cites REST: Retrieval-Based Speculative Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models REST: Retrieval-Based Speculative Decoding

Reference 8

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source=arxiv_source observed=2026-08-07T00:22:44.600490Z digest=sha256:be91b16ac47162f8e9546869888f177375567ab7f62564a03b9f0169fda717cd

Observation b8da5858-9e66-4f1f-b009-45da1b65a076 · outbound

This paper cites SPEED: Speculative Pipelined Execution for Efficient Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models SPEED: Speculative Pipelined Execution for Efficient Decoding

Reference 9

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:44.720990Z digest=sha256:1a87b457c92be73c7e2693d9135d81a6f842685d047733c9545f70a7f4a0f25e

Observation 97843b58-26ab-4881-b93b-c5d44409d96e · outbound

This paper cites Mistral 7B.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Mistral 7B

Reference 10

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source=arxiv_source observed=2026-08-07T00:22:44.826697Z digest=sha256:bf930d3ab2996dd23b971392864719ef2c8e5002330a0a26fa1f56f613d3743e

Observation 4ff27cb6-9f46-418f-83cb-556893653688 · outbound

This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Dense Passage Retrieval for Open-Domain Question Answering

Reference 11

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source=arxiv_source observed=2026-08-07T00:22:44.904611Z digest=sha256:d080f5a4cae22d4ac23c4265c1e1f41601747600599159fc521d041327c918c8

Observation 2b00ef46-e821-46b8-838b-816a089b61b8 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-07T00:22:45.005725Z digest=sha256:45ae70624e32fdbcc5dbf3c93878654bb4ef3422d86e45f6f9b723964b53bd95

Observation cea8218e-5416-4db8-940e-0d4e66f0e957 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:45.085160Z digest=sha256:9e6ba3d47ec8c80c83070d51e57a6a0b9ecf4fb5eb14164732870070d3de1a53

Observation 4d2a22e7-9de4-4174-87e8-80c93b740aed · outbound

This paper cites EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Reference 14

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T00:22:45.195971Z digest=sha256:277d9d78331c51e342794fbfa82a8abca9aebab59c45de2a398e9b644a262b20

Observation 73836c97-a266-49f8-8b9c-30a32a6f8920 · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 15

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source=arxiv_source observed=2026-08-07T00:22:45.314304Z digest=sha256:9b046e1158b97154f0f436474cb8254e6ffa28a2834455c0e9b8a35d1bdd7679

Observation 63f906ea-736e-4915-af1d-cb791ffb70e1 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T00:22:48.497676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:45.457587Z digest=sha256:2e2247536be9e767348c3176b2e491fd5a391b26c2268b1aafc3aeb487136dc7

Observation e64d2eff-7504-41fb-8c7d-243c520d0350 · outbound

This paper cites PaSS: Parallel Speculative Sampling.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models PaSS: Parallel Speculative Sampling

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:45.511201Z digest=sha256:1017b77ca5e6be7570085815f85243f82750fac59908508cebee56e0312402cb

Observation d7f0c4e9-b26d-4156-b18b-148b0e74b36d · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Reference 18

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source=arxiv_source observed=2026-08-07T00:22:45.603082Z digest=sha256:67c5068c7f6ca5c0d0b28e342b770658ebde86d8c64cf4621a0215542193c760

Observation 10c73851-c493-4327-bb0e-1d1132f931b0 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-07T00:22:45.665389Z digest=sha256:0ccb76c254ca944212705d20fc8c45594b7c044b92a77f3d3a8c59387821ea10

Observation c85f31c3-40ef-4617-a385-ebb761808898 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:45.756434Z digest=sha256:6e2e586d666cd24bdb547270e3ea55b052341f55df7b41bed627bc24765674ac

Observation ba4d1923-21af-4796-986d-ee87f5b93b1c · outbound

This paper cites Accelerating LLM Inference with Staged Speculative Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Accelerating LLM Inference with Staged Speculative Decoding

Reference 21

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source=arxiv_source observed=2026-08-07T00:22:45.833905Z digest=sha256:2941ec1d8aea2d3fd56651742d733fa85ba7ed56cb71fecac4f71122423463e2

Observation c10443bd-c593-48b2-857b-409e5e29f071 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:45.934858Z digest=sha256:827485ec5517d16705957a0580fc3cecc2c68b7277344d3455d70e573121b31f

Observation efd5d4f9-01ac-4d58-bf3e-b2774ccc08de · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:46.058446Z digest=sha256:09ab36f3d917c8c41061ae9d561a66c703ea521936dd48f93ebc2b1afb4a1469

Observation 7b524217-c1cb-405e-82c8-c4874c75dd62 · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 24

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source=arxiv_source observed=2026-08-07T00:22:46.158687Z digest=sha256:212ae1d0472b07f0c05be701d050b36b2ef5ff0293d54d2be6312da3a88c011c

Observation 5720416c-f55d-4a0f-b1c9-6904ea0656d0 · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 25

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source=arxiv_source observed=2026-08-07T00:22:46.242097Z digest=sha256:a486988690bacd153941f22f3e7c46c1b994c7ebc6cb361b3265be4f5884cede

Observation 80f9c845-a820-4c72-badf-0bf578ca5563 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T00:22:47.632647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:46.326971Z digest=sha256:abdb9306a90522a9145c8ef9e3f7ab98797db03198fb3a0ef8225832c1e8c3b1

Observation 03a5e258-919c-4c63-9356-739963217701 · outbound

This paper cites Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:46.418338Z digest=sha256:a0ab5b712f71fc9cc27e854a695964b4be8b45ef68a89a62bc1185f84719d2dc

Observation 66b98a8e-677c-46e7-8253-975df5c70e04 · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:22:47.355613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-07T00:22:46.507038Z digest=sha256:3ca957a88b900a0babf3ce5be583b5b7f484bd1e899bdda1b0cc4eff1514f484

Observation a88cd367-faec-4479-a669-8b2da3eacccc · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-07T00:22:46.607769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:46.607769Z digest=sha256:b4c3b828960a9ba6e27bf00e4c64dfa92bea29462659dae9c4c9723fd7384ac8

Observation 1b48e9a0-7b90-46d5-9a99-ff012a3ab3b5 · outbound

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

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models TinyLlama: An Open-Source Small Language Model

Reference 30

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source=arxiv_source observed=2026-08-07T00:22:46.675177Z digest=sha256:d67bfe3e3c8e3e600dcd484d1f2925c8919e14d63ac5524e1fe8350413cd3d43

Observation 355bd9d1-4b1c-4412-a491-d6e4e095febf · outbound

This paper cites an unresolved cited work.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models Unresolved cited work

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:46.735597Z digest=sha256:7d15988b0056d3dcb378287e8fd7118af96e224e785bd0fea60cf5e3c7c5a22f

Observation 12db3a0c-44d2-4fff-9dcc-9a55e6fa5be7 · outbound

This paper cites online" 'onlinestring :=.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models online" 'onlinestring :=

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:46.860882Z digest=sha256:3605c2f7fd6b5d7c8d9ae56804bfe79d2e37b126e5d22651bf98b3068159c82b

Observation b979ec74-59fe-4aa8-8373-b0745b8ede14 · outbound

This paper cites write newline.

S$^4$C: Speculative Sampling with Syntactic and Semantic Coherence for Efficient Inference of Large Language Models write newline

Reference 33

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no resolver link, observed 2026-08-07T00:22:46.965704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:22:46.965704Z digest=sha256:853bf1c0492e4def0013003647daad1bf16f579247ec5d631a1063b2fe8e2aba

Pith citing papers

No inbound Pith citation observations are available.