Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FLM-101B: An Open LLM and How to Train It with $100K Budget
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.03852.
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 2026-08-10T11:47:24.857799Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:40:36.493769Z
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 86954125-3ecc-4c15-a639-bebb87bb40ac · inbound
A Survey of Large Language Models cites this paper.
A Survey of Large Language Models FLM-101B: An Open LLM and How to Train It with $100K Budget
Reference 104
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:46:39.931708Z
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 b3c8182b-3ff7-4c20-929b-79fa92b1f6ad · inbound
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models cites this paper.
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models FLM-101B: An Open LLM and How to Train It with $100K Budget
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T11:47:24.857799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 551eae61-8d32-4e6f-a272-2dc974a09f53 · inbound
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.
Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts FLM-101B: An Open LLM and How to Train It with $100K Budget
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:40:36.496377Z
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.