Paper Citation Record · LEDGER

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2401.16380.

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

pith.paper-citation-record.v1
2401.16380 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:06.407101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.338957Z

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 02309a5f-c760-4444-960b-69d1a27fb55e · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:58:17.106296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37c7d081-73c9-4f4d-8dc9-55aaf38085f6 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:03:55.762502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f419473-e6d6-437e-a476-a105c49ab2c8 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:06.407101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4b3451-b7e6-4fd0-b7a2-5c1fb5ce070b · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 282

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.493874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af7264e8-e402-4814-abb7-82e5a8c83fc3 · inbound

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation cites this paper.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.493097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02e4352e-6e95-453e-bf01-72a906a47bcc · inbound

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution cites this paper.

MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:35.734975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91dfd06b-e4fa-466a-a3dd-78dcc7940c74 · inbound

Assessing the Role of Data Quality in Training Bilingual Language Models cites this paper.

Assessing the Role of Data Quality in Training Bilingual Language Models Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:57.762055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99425188-6df5-4939-8e9a-84c61e481abd · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:53:11.574563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e21040e-dc80-4fcf-b486-7984e959cd8e · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:49:28.021895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6119b7e9-03cc-420c-8198-ee7929aee534 · inbound

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training cites this paper.

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:59:52.215099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cb313f-fe78-4e76-a415-c4a08e6d6355 · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T20:24:40.684171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9728fc77-56a6-4b02-a71b-7b87c4917d69 · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T11:16:12.298065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a580307e-5ade-4b1e-982e-2dde6978f624 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:26:05.118696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f621cbe0-1ef0-47c0-88e1-703d42b76fd5 · inbound

Vibe Calibration: Autonomous Bring-up of a 112-Qubit Superconducting Quantum Processor by a Skill-Orchestrating Language Agent cites this paper.

Vibe Calibration: Autonomous Bring-up of a 112-Qubit Superconducting Quantum Processor by a Skill-Orchestrating Language Agent Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:42.729670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42bca175-271d-48b7-a0e5-f53d2198f0f5 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:40:03.340356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fef361ec-cad6-44c8-a7c2-94facd75bc68 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:15:58.939099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4087f884-0132-4e81-a79f-f6e9992d15b0 · inbound

Internal Data Repetition Destroys Language Models cites this paper.

Internal Data Repetition Destroys Language Models Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.887355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8df12efa-006b-48c5-959b-d55de576737f · inbound

Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA cites this paper.

Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:29:15.333711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe88210-30ff-441f-a150-5440c9ca3cc8 · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:02.501376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e44e48f2-f40a-4c30-be2b-8fd78c83eff5 · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T09:51:53.287233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.