Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Controlling Computation versus Quality for Neural Sequence Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.07106.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:40:46.170003Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:52:00.211451Z
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 179b17e5-015c-4e87-8fa8-a8a2671db2ec · inbound
Fast Inference from Transformers via Speculative Decoding cites this paper.
Fast Inference from Transformers via Speculative Decoding Controlling Computation versus Quality for Neural Sequence Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:52:00.215146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 69936f25-c7b6-4f54-b2de-2e85c97ef1bc · inbound
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models cites this paper.
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models Controlling Computation versus Quality for Neural Sequence Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T02:18:02.302049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9732b43d-7004-40da-933a-3493a13af5b0 · inbound
A Survey of Early Exit Deep Neural Networks in NLP cites this paper.
A Survey of Early Exit Deep Neural Networks in NLP Controlling Computation versus Quality for Neural Sequence Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:40:46.170003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.