Paper Citation Record · LEDGER

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.04916.

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

pith.paper-citation-record.v1
2312.04916 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:40:56.421746Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:04:29.294152Z

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 130c8be1-1ea0-485f-89b6-1dc16780f1fd · inbound

M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference cites this paper.

M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T13:40:56.421746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fea8927-b7bf-492d-948c-66798cc18129 · inbound

Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference cites this paper.

Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T04:19:02.018031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c94d21-a779-4c38-8a77-6b9509d6b609 · inbound

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits cites this paper.

Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:16.329744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cd8c77-c4e2-48e5-9edf-3f6eddce050b · inbound

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling cites this paper.

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:51.442664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8a678f2-47b3-47ec-823c-c79967503f0d · inbound

Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective cites this paper.

Systematic Characterization of LLM Quantization: A Performance, Energy, and Quality Perspective EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T17:21:06.107926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e4f275-a1da-4fe6-948e-c3f13720c793 · inbound

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning cites this paper.

SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T19:34:58.789459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e12ff9-1ce3-40a5-b37a-2a534c83cc45 · inbound

Two-dimensional early exit optimisation of LLM inference cites this paper.

Two-dimensional early exit optimisation of LLM inference EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:59:34.231464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e6d9977-5d9f-4838-97fb-1d3dd99b8f58 · inbound

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory cites this paper.

HyperLens: Quantifying Cognitive Effort in LLMs with Fine-grained Confidence Trajectory EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:10.141888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db0c4ae9-f669-4164-a986-597b0a8288a7 · inbound

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade cites this paper.

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:04:29.295709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a411282-baa1-44fb-8e62-9a6245e71f12 · inbound

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade cites this paper.

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T08:18:04.108546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.