Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:53.154620Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.17420.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:53.154620Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
23 of 23 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e01a6648-6985-4ca2-8f98-16d4141d8053 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies GPT-4 Technical Report
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c38aa4c6-73ca-4688-8c6c-c156e5555b90 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d4a2d47-2c56-452f-9eb4-b5de198700b0 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a8c7e2-caa3-4204-8c28-77bb60f2d59f · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73ed9899-7c75-4117-a10b-8539a60bc3e4 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65a5f1c8-cb1f-41ac-8afe-021d6ac540f2 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Not All Layers of LLMs Are Necessary During Inference
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0d265e9-9b28-40c8-9e1e-20c73c06c549 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies The Llama 3 Herd of Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73d78bdd-b6f6-4b71-863d-41687c3c861e · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd1e5ce3-886b-4861-9a6d-d54f080ccb42 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Unresolved cited work
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 18ed080e-0432-4a98-8c6b-f03e02882084 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5647efe6-cb62-4864-9568-14b5cf30957d · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Measuring Massive Multitask Language Understanding
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df9dcbfb-2cff-4c29-b1ba-04daa3e9a950 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c017860-a3d9-485e-91f7-1e1be7523979 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16070eb8-038d-4783-9b7f-478af00109b5 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Unresolved cited work
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation eb5cbf14-7e40-4a43-b3cd-e3f72118b92b · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03767f2f-ddb6-4a35-ad71-b4fc76ee627c · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Pointer Sentinel Mixture Models
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39859a22-f103-42b3-83f8-b417879e57a2 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Get To The Point: Summarization with Pointer-Generator Networks
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1334dc08-0bfb-416d-9eae-d010615e7abb · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa018563-c17f-483f-9b5a-025aa500af79 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Unresolved cited work
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 39088ef9-e16d-4a31-8e9d-4d56750a9c15 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Unresolved cited work
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4e3742c7-26a1-4820-beaa-8c220cde2144 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies Qwen3 Technical Report
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1189219a-5dd6-4dd8-a199-69fe0222df11 · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies online" 'onlinestring :=
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7412d5f8-21d9-4ceb-a8d5-560e5a6d7dca · outbound
DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies write newline
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.