Paper Citation Record · LEDGER

FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.03865.

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

pith.paper-citation-record.v1
2404.03865 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:18:51.266499Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:21:35.511641Z

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 0e4d8f32-ea77-4a25-b01e-acf5c62356ad · inbound

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

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:18:51.266499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6875890-334c-415a-88e1-e6994652b749 · inbound

RAP: Runtime Adaptive Pruning for LLM Inference cites this paper.

RAP: Runtime Adaptive Pruning for LLM Inference FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:21:35.514612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df9dcbfb-2cff-4c29-b1ba-04daa3e9a950 · inbound

DASH: Input-Aware Dynamic Layer Skipping for Efficient LLM Inference with Markov Decision Policies cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:52.466772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48f9557-afd7-4392-917a-4745206b7e9e · inbound

QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs cites this paper.

QTALE: Quantization-Robust Token-Adaptive Layer Execution for LLMs FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:00.287006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.