Paper Citation Record · LEDGER

Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.05139.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.05139 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:49:40.275301Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T22:17:25.611807Z

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 7393a6f6-d761-4dd3-a0c7-e5030d5fad5a · inbound

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training cites this paper.

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:40.275301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f10071d-c443-4df7-af6e-10605ad6e7e1 · inbound

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness cites this paper.

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:28.300725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b850180-1e66-439a-bdf5-77e147eef537 · inbound

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs cites this paper.

InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:10:45.387048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 49027658-6cf2-4147-af33-7a8750d56b83 · inbound

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View cites this paper.

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:30:51.055399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 670dcc54-17e9-4b8c-8ab3-ff2b969049ee · inbound

CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training cites this paper.

CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:08.940598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 44feafdd-5277-4eb2-8b03-4f08369edb46 · inbound

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale cites this paper.

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs

Reference 137

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:17:25.613249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.