Paper Citation Record · LEDGER

RedPajama: an Open Dataset for Training Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2411.12372.

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

pith.paper-citation-record.v1
2411.12372 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:27:57.542454Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

18
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2faa9b3a-7af2-45e2-becb-87d3f888bdad · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging RedPajama: an Open Dataset for Training Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T14:27:57.542454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 935cca9e-f840-4481-bfcd-ea0a1f113379 · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM RedPajama: an Open Dataset for Training Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T20:08:57.500140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e48a6e5c-c83a-4769-a84a-670bd1d3bd6b · inbound

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models cites this paper.

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models RedPajama: an Open Dataset for Training Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T14:48:53.827249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4824c5f2-d689-44d9-b29b-4d9ac1db0003 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? RedPajama: an Open Dataset for Training Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:09.304268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e15629f2-7a49-41eb-85b5-df5ef3621fc5 · inbound

Hardware-Efficient Attention for Fast Decoding cites this paper.

Hardware-Efficient Attention for Fast Decoding RedPajama: an Open Dataset for Training Large Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:32:33.391740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b1cbea-2d9b-41f2-a510-3b6ce62ca490 · inbound

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text cites this paper.

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text RedPajama: an Open Dataset for Training Large Language Models

Reference 196

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:45.444268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a633f51-b59d-4224-8915-6a1fad4c7ad1 · inbound

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training cites this paper.

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training RedPajama: an Open Dataset for Training Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:10.350194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 566ef656-7006-4020-8388-65edc1ea2007 · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data RedPajama: an Open Dataset for Training Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:47.623955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d4a238-444a-4897-981e-b963eab614df · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models RedPajama: an Open Dataset for Training Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.591858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bbf3e5f-ac51-4f10-b045-a2f423eafe06 · inbound

OLMoASR: Open Models and Data for Training Robust Speech Recognition Models cites this paper.

OLMoASR: Open Models and Data for Training Robust Speech Recognition Models RedPajama: an Open Dataset for Training Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T14:49:35.952702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4457a45-cf0d-497e-b605-89b5accb6f50 · inbound

Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling cites this paper.

Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling RedPajama: an Open Dataset for Training Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:36.827145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98500d58-abc6-4f10-a38d-02f91e33dfbc · inbound

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining cites this paper.

Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining RedPajama: an Open Dataset for Training Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:49:03.027674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b449b42-ea8b-4d18-969d-63fcdb5c7cf9 · inbound

The Effect of Scripts and Formats on LLM Numeracy cites this paper.

The Effect of Scripts and Formats on LLM Numeracy RedPajama: an Open Dataset for Training Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T08:58:51.336919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dff2e6a1-fa65-4449-b2f9-f9606e2091bd · inbound

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.

A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data RedPajama: an Open Dataset for Training Large Language Models

Reference 231

Resolution: unresolved; no resolver link, observed 2026-08-03T08:15:34.574812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590a810a-bea8-41b1-9df8-106cc74348e1 · inbound

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings cites this paper.

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings RedPajama: an Open Dataset for Training Large Language Models

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:15.427174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f10efb69-6579-48cc-bbba-5edf701d6a07 · inbound

Small edits, large models: How Wikipedia advocacy shapes LLM values cites this paper.

Small edits, large models: How Wikipedia advocacy shapes LLM values RedPajama: an Open Dataset for Training Large Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:05:35.771485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32e897c5-9350-474a-a03d-39cf2adbf4ec · inbound

Small edits, large models: How Wikipedia advocacy shapes LLM values cites this paper.

Small edits, large models: How Wikipedia advocacy shapes LLM values RedPajama: an Open Dataset for Training Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T19:23:22.815333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9729b55e-f368-4e28-bc2c-9fd2bdb8eb9a · inbound

Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing cites this paper.

Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing RedPajama: an Open Dataset for Training Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:02.750903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 152f7a68-96f4-42be-912d-4711e32a7b26 · inbound

$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space cites this paper.

$\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space RedPajama: an Open Dataset for Training Large Language Models

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:55.872510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a65a684-4ba9-4249-bc4c-5dbb900df86c · inbound

A First-Principles Theory of Slow Thinking and Active Perception cites this paper.

A First-Principles Theory of Slow Thinking and Active Perception RedPajama: an Open Dataset for Training Large Language Models

Reference 167

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:37:03.328504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69a6c735-9747-426f-aa56-d90025b34803 · inbound

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool cites this paper.

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool RedPajama: an Open Dataset for Training Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T00:03:06.880355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2acd6937-8313-480a-9af2-15d5e44ef445 · inbound

From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference cites this paper.

From Data to Device: ELMOD An Efficient German-First 2.7B Language Model for Mobile Inference RedPajama: an Open Dataset for Training Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T11:19:36.131568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.