Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.12903.
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 2026-08-08T17:10:39.819680Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0f076f97-128c-4441-8b6d-3d9705b9016b · inbound
Scaling Diffusion Language Models via Adaptation from Autoregressive Models cites this paper.
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Reference 173
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:59:36.707121Z
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.
Observation 1026cd01-100b-4f3a-8d0a-91fd78437d97 · inbound
Enabling Autoregressive Models to Fill In Masked Tokens cites this paper.
Enabling Autoregressive Models to Fill In Masked Tokens Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:10:39.819680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52fd10a3-fb44-4bbd-8367-d3893e336baf · inbound
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models cites this paper.
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Reference 94
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:40:54.159667Z
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.
Observation 7e33514b-bed9-43ce-b9dc-93a0ccf1b66e · inbound
When is Warmstarting Effective for Scaling Language Models? cites this paper.
When is Warmstarting Effective for Scaling Language Models? Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:02:52.958845Z
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.
Observation c2a6168f-ec47-4a6f-b0b5-1d4f1f53fadd · inbound
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.
Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Reference 105
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T23:32:46.720130Z
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.