Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DepGraph: Towards Any Structural Pruning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.12900.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:40:12.820000Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T06:23:05.575342Z
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 507cbe3f-0dd6-4001-b016-9f07c5f6a4dc · inbound
Model Fusion via Neuron Transplantation cites this paper.
Model Fusion via Neuron Transplantation DepGraph: Towards Any Structural Pruning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:40:12.820000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d16864f3-016b-495e-8a85-3ff18266cf7d · inbound
Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration cites this paper.
Loss-Aware Automatic Selection of Structured Pruning Criteria for Deep Neural Network Acceleration DepGraph: Towards Any Structural Pruning
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:00:46.775620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef51e83f-4781-400a-a254-f0901e689495 · inbound
Replacement Learning: Training Neural Networks with Fewer Parameters cites this paper.
Replacement Learning: Training Neural Networks with Fewer Parameters DepGraph: Towards Any Structural Pruning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:23:05.576871Z
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.