Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.13230.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:22.127898Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T00:05:47.742886Z
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 aec684b4-8e3a-42b3-8df8-481f22cb0fc9 · inbound
The Falcon Series of Open Language Models cites this paper.
The Falcon Series of Open Language Models To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Reference 138
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T09:46:10.018936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2fe424c9-883d-47a0-bd5a-408d146d5d2c · inbound
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning cites this paper.
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:51:47.931662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bba383f4-1428-439e-b704-11f9778c9b23 · inbound
When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks cites this paper.
When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:02:53.245973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec96d003-d047-40b7-9b72-a953203bad57 · inbound
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource cites this paper.
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T00:05:47.745161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c1f98cf-a3b4-4a79-bb6e-b47e45c9da12 · inbound
LLM vs. SAST: A Technical Analysis on Detecting Coding Bugs of GPT4-Advanced Data Analysis cites this paper.
LLM vs. SAST: A Technical Analysis on Detecting Coding Bugs of GPT4-Advanced Data Analysis To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis
Reference 111
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:44:22.127898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.