Paper Citation Record · LEDGER

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.16487.

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

pith.paper-citation-record.v1
2203.16487 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:06:34.603114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:30:22.329760Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 088c6fa3-60b6-42ac-9c4c-355e4b60d753 · inbound

Continuous diffusion for categorical data cites this paper.

Continuous diffusion for categorical data Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:22.333205Z

Source-reported events for the cited work

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

Observation 39b59b01-b700-46e7-8de0-1f46f446456f · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:34:15.735737Z

Source-reported events for the cited work

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

Observation 024ec14d-13af-4286-88b8-edf2bc45f38d · inbound

IAM: Efficient Inference through Attention Mapping between Different-scale LLMs cites this paper.

IAM: Efficient Inference through Attention Mapping between Different-scale LLMs Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T17:06:34.603114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a70f41-1941-4233-ae7e-3947746adaf3 · inbound

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding cites this paper.

XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T10:29:56.330746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52d294ab-ba12-4e7c-9c26-463ec80f03b4 · inbound

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation cites this paper.

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:29.908758Z

Source-reported events for the cited work

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

Observation b40f0667-144e-4c19-9727-8617b1dbca42 · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:50:57.415594Z

Source-reported events for the cited work

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