Paper Citation Record · LEDGER

Learning to Skip for Language Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.15436.

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

pith.paper-citation-record.v1
2311.15436 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:24:46.499373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:35:52.000418Z

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 7bfe05f8-b076-4a0c-9394-a1f47bbda071 · inbound

UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths cites this paper.

UniMoD: Efficient Unified Multimodal Transformers with Mixture-of-Depths Learning to Skip for Language Modeling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T15:24:46.499373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75111c31-4174-43dc-b107-f845284d354a · 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 Learning to Skip for Language Modeling

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T10:51:51.669918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af05470-d752-430f-9855-e9d7cf64bd07 · inbound

Learning to Skip the Middle Layers of Transformers cites this paper.

Learning to Skip the Middle Layers of Transformers Learning to Skip for Language Modeling

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:40:56.899228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8dd02d4-0276-4cb5-8729-43149ee5caca · inbound

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation cites this paper.

SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation Learning to Skip for Language Modeling

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T18:16:48.453823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09cd7901-f65c-4020-b937-ce4d4d14dc62 · inbound

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference cites this paper.

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference Learning to Skip for Language Modeling

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:35:52.001837Z

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.