Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.16432.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:52:28.621920Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T23:30:52.020353Z
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 40a14d2e-66cf-4780-9500-d1b0f6765978 · inbound
Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference cites this paper.
Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:52:28.621920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72c0b221-939c-4310-b357-131501f309c6 · inbound
DeepStack: Scalable and Accurate Design Space Exploration for Distributed 3D-Stacked AI Accelerators cites this paper.
DeepStack: Scalable and Accurate Design Space Exploration for Distributed 3D-Stacked AI Accelerators DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:30:52.023121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.