Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.18581.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:40.289463Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T10:51:51.885648Z
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 a22feaca-88a2-4d54-a362-70d0ded6d319 · inbound
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts cites this paper.
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:40.289463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91e438b8-eb7b-48b9-9186-9aea743e3c0b · inbound
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism cites this paper.
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:02:39.380095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9db35863-6b2f-4f01-b7da-f586531836fe · 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 Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:51:51.890716Z
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.