Paper Citation Record · LEDGER

Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.05424.

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

pith.paper-citation-record.v1
2310.05424 v1

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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:18:51.060790Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T06:57:08.149426Z

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 b924a26e-8c97-4392-86ce-88155ebed89b · inbound

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit cites this paper.

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:23.290072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1712b992-0c93-4d6d-9a86-c828002be37e · inbound

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference cites this paper.

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:51.060790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e0fd8a-988d-49e2-8754-1092f8090124 · inbound

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation cites this paper.

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:57:08.152830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 697eadd9-d0c2-4ef8-b9b0-aa0858e48e45 · inbound

LLM-assisted Agentic Edge Intelligence Framework cites this paper.

LLM-assisted Agentic Edge Intelligence Framework Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:00:03.429892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 444d3890-642f-4820-8423-d3936b3ba71c · inbound

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving cites this paper.

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:59:17.724088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 262a8ced-e921-4ece-87fc-32d8b9f88291 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:38.155519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.