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Paper Citation Record · LEDGER

Speeding up Speculative Decoding via Sequential Approximate Verification

As of 15 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2502.04557.

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

pith.paper-citation-record.v1
2502.04557 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:28:20.527111Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:39:38.006860Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b98a72da-da56-4c85-8318-e8b0c765dc1f · outbound

This paper cites =b ∞X k=r kηk−r FP +b ∞X k=r ηk−r FP = b ηr FP ∞X k=r kηk FP + b ηr FP ∞X k=r ηk FP (28) where (a) follows from settingb=η r TP(1−η FP)td.

Speeding up Speculative Decoding via Sequential Approximate Verification =b ∞X k=r kηk−r FP +b ∞X k=r ηk−r FP = b ηr FP ∞X k=r kηk FP + b ηr FP ∞X k=r ηk FP (28) where (a) follows from settingb=η r TP(1−η FP)td

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.099348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.514055Z digest=sha256:8b0ce278c15b7924927f067930e60411faf87ba9364199e9f75dfb31ccfd97fd

Observation 8ec33669-af07-49dc-be73-6ee1e80af2f1 · outbound

This paper cites Transfer Q Star: Principled Decoding for LLM Alignment.

Speeding up Speculative Decoding via Sequential Approximate Verification Transfer Q Star: Principled Decoding for LLM Alignment

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.445252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.445252Z digest=sha256:0b2714943402cf44fa306f698e911c920a73551856959692dc5a8b6853f1e2f2

Observation 4da42b38-2ba4-42b6-8e80-4719c9995918 · outbound

This paper cites Eleutherai/gpt-neo-1.3b, 2024a.

Speeding up Speculative Decoding via Sequential Approximate Verification Eleutherai/gpt-neo-1.3b, 2024a

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.180427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.452453Z digest=sha256:97236c11e388918eb5c7cbc81bfef486e1358fe6935fac6ebf97f6e032ef3946

Observation 2d3fa551-eef2-46f0-9b89-7ece5cdcb9a5 · outbound

This paper cites Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., de Las Casas, D., Hendricks, L.

Speeding up Speculative Decoding via Sequential Approximate Verification Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., de Las Casas, D., Hendricks, L

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.170410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.455578Z digest=sha256:d62cedc3cf84e5040a62edf354f19192fbce20d95813c41234c18504af0a8d03

Observation 79515eab-6b24-4e4b-8b59-d5e586d89d43 · outbound

This paper cites Accessed: 04-2025.

Speeding up Speculative Decoding via Sequential Approximate Verification Accessed: 04-2025

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.161455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.462444Z digest=sha256:2feba0178f4150ab315c55915b7844af7e7bfd1c21d6978ba00e2aa2c8837940

Observation 3cf74ed2-fce1-4023-848e-21d7d748fed8 · outbound

This paper cites Improving Multi-candidate Speculative Decoding.

Speeding up Speculative Decoding via Sequential Approximate Verification Improving Multi-candidate Speculative Decoding

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-08T22:28:21.008355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.469620Z digest=sha256:bc45f1536c5fdc3bfae86d3b4304c5bc1d458bc7980c923600e28a2246486247

Observation dba9fc9e-97db-4fe5-b832-31f46e66b974 · outbound

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

Speeding up Speculative Decoding via Sequential Approximate Verification Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.472902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.472902Z digest=sha256:eaa1625eda2b27ed67b3c6123f90750d1741b457df5c42557eb23723bb6057cf

Observation 550995dd-6e47-4185-a881-356ef688a7e8 · outbound

This paper cites From text to multimodality: Exploring the evolution and impact of large language models in medical practice.

Speeding up Speculative Decoding via Sequential Approximate Verification From text to multimodality: Exploring the evolution and impact of large language models in medical practice

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.479843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.479843Z digest=sha256:d25a102c2b7fa43ddff88b8bc132f8ef5bc2a6547e9218aa690bbb2e083ddd5d

Observation c7796989-b02b-4617-af3e-d1972c9127ba · outbound

This paper cites openai-community/gpt2, 2024a.

Speeding up Speculative Decoding via Sequential Approximate Verification openai-community/gpt2, 2024a

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.148089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.482867Z digest=sha256:ecee873562a026bf215185031caf5cd16baee911082a33a1748fac9b78560a31

Observation 59d13b0a-016e-4463-b905-b270dd272708 · outbound

This paper cites Improving word embedding compositionality using lexicographic definitions.

Speeding up Speculative Decoding via Sequential Approximate Verification Improving word embedding compositionality using lexicographic definitions

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.139119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.485952Z digest=sha256:37dbfec5c3ae2e20a1ce68252c13e9b0c4d2266ae3a09a459b92396af84d954f

Observation 2d6b4281-3c34-43e6-814d-15079e3db088 · outbound

This paper cites Tran-Thien, V.

Speeding up Speculative Decoding via Sequential Approximate Verification Tran-Thien, V

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.498440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.498440Z digest=sha256:8815ca626cb8b867991dcd1f69aa1ebc809511ca82c369760b4eeb74fd164a28

Observation aea33651-2302-473b-9ace-c45bf255b190 · outbound

This paper cites Accessed: 2025-05-09.

Speeding up Speculative Decoding via Sequential Approximate Verification Accessed: 2025-05-09

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.112737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.501508Z digest=sha256:d49668927d722e16325fe194c623d185f1f93d652e1d018159121cf6cb7a8581

Observation 5b6b7e36-9e21-4eeb-b112-697248921c1d · outbound

This paper cites A Theoretical Perspective for Speculative Decoding Algorithm.

Speeding up Speculative Decoding via Sequential Approximate Verification A Theoretical Perspective for Speculative Decoding Algorithm

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T22:28:20.595139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.505338Z digest=sha256:0eec6662645aa6ef0fc460314775e63cdc268dc997f046878baa156c640153bb

Observation b77f8d4a-cdf7-4956-ba02-aafb5719a95e · outbound

This paper cites Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method.

Speeding up Speculative Decoding via Sequential Approximate Verification Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-08T22:28:20.558389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.510206Z digest=sha256:1d1e3990a21e86a30a8f766ae120b34889f1c82e3de94224e99d3995c3ac377c

Observation b5cb0350-1f94-4534-80c2-a0126b27184b · outbound

This paper cites The main sources of FLOPS considered in (Hoffmann et al., 2022; Casson,.

Speeding up Speculative Decoding via Sequential Approximate Verification The main sources of FLOPS considered in (Hoffmann et al., 2022; Casson,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.079725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.523593Z digest=sha256:9d7417e58bd9b0ca91cdccf2f65841bfcf76023dc4d95ea35ff211bd9575f329

Observation 7d1349aa-4bac-41ef-aad9-858860bc396b · outbound

This paper cites an unresolved cited work.

Speeding up Speculative Decoding via Sequential Approximate Verification Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T22:28:21.070021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.527111Z digest=sha256:48fa3a213bf14983860f4385a359b3b26b96bc760908e3cb834ae7ad1159860b

Observation 87c114ea-75bf-46d9-878d-83b35bc400bf · outbound

This paper cites It was a big success in Pre/f.shortix: Niagra Falls is located in SD Niagra falls is located in the city of Kolkata, India.

Speeding up Speculative Decoding via Sequential Approximate Verification It was a big success in Pre/f.shortix: Niagra Falls is located in SD Niagra falls is located in the city of Kolkata, India

Reference 2000

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:28:21.089459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-08T22:28:20.520316Z digest=sha256:30aa170f9ba3d5fd4954c21c371db9133396df0ec2c21b67221161465c8646a4

Observation 9b213293-2f43-4b1c-bbe7-8681e8de3b38 · outbound

This paper cites Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion.

Speeding up Speculative Decoding via Sequential Approximate Verification Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.448891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.448891Z digest=sha256:de92cc5dc90e0a7117f771789627cf4ff67162002939773e25ecad4714cba0a9

Observation 8bf3fcc9-c6cd-4230-b1a4-87f0e2fe7478 · outbound

This paper cites Learning to Decode Collaboratively with Multiple Language Models.

Speeding up Speculative Decoding via Sequential Approximate Verification Learning to Decode Collaboratively with Multiple Language Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.495145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.495145Z digest=sha256:be88653d53fbb7a8cb340e8e21dca450762dd8a45c3074fd3bd58463b2d9a5ec

Observation a992d833-8523-4e9f-90ef-b089c4bea725 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Speeding up Speculative Decoding via Sequential Approximate Verification Training Compute-Optimal Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.458831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.458831Z digest=sha256:ace22c191baa8ff9f354d9cd59801c86ec3d7bd4261b085fb82a8978d7ac1186

Observation 6f30a314-b7e7-46f4-afe8-596307c4a871 · outbound

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

Speeding up Speculative Decoding via Sequential Approximate Verification EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.466085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.466085Z digest=sha256:f6ea0fccbf544d9c698ae40454957156b2f52baca3e2795b50967748ce68ba7d

Observation 1bbf85ee-3856-4f48-9473-503cbd0f3d76 · outbound

This paper cites Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment.

Speeding up Speculative Decoding via Sequential Approximate Verification Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.436274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.436274Z digest=sha256:3c8359a1662aa633ff256daa99e8d199a94c4bbae60466eb906d31e74cb86b91

Observation ecdc3666-7771-461c-8c3d-8eeee899c026 · outbound

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

Speeding up Speculative Decoding via Sequential Approximate Verification Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T22:28:20.441096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:28:20.441096Z digest=sha256:1b0cfb8007aaaf98d91eae174d3bc1a196c9721c054fdf82f3acf1c1983d4d23

Pith citing papers

Observation 9929d3d7-a9be-40b7-aee9-e79192104d4e · inbound

When Is a Draft Accepted? A Theory of Acceptance in Speculative Decoding cites this paper.

When Is a Draft Accepted? A Theory of Acceptance in Speculative Decoding Speeding up Speculative Decoding via Sequential Approximate Verification

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:44:20.987937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-30T07:39:38.006860Z digest=sha256:95ad6b95cc45e8dfd9cfd1dbc59bc60567ac79a0e631a5dceb2ca3a1f66c7a75