Paper Citation Record · LEDGER

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2404.14619.

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

pith.paper-citation-record.v1
2404.14619 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:23:06.197046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:58.619948Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 f4f8af6e-452d-4cf6-a2bd-98ff26beb56f · inbound

FlashNorm: Fast Normalization for Transformers cites this paper.

FlashNorm: Fast Normalization for Transformers OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:18:36.171174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ad8e1e1-1399-40c0-a350-2803cf02ed0a · inbound

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T10:23:06.197046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd788a9-27ff-426b-a948-46abb5da47f0 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:05:16.430882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff79fe8a-d0d7-44c9-a8fa-c6394c2da8d9 · inbound

Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models cites this paper.

Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:15.866776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cce388-8a10-4744-b631-fbb80c5d7701 · inbound

Next Token Perception Score: Analytical Assessment of your LLM Perception Skills cites this paper.

Next Token Perception Score: Analytical Assessment of your LLM Perception Skills OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:31.299094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 583b578c-c295-45fa-840c-1ee032eaad82 · inbound

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives cites this paper.

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:52.514060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a885699d-6d29-48a5-8fc5-59fb12c13d4b · inbound

Beyond Text Compression: Evaluating Tokenizers Across Scales cites this paper.

Beyond Text Compression: Evaluating Tokenizers Across Scales OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:05.514145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa69431-9363-4bd4-b25d-0489ac2f9b6f · inbound

Beyond Text Compression: Evaluating Tokenizers Across Scales cites this paper.

Beyond Text Compression: Evaluating Tokenizers Across Scales OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T11:18:10.936438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67473cb3-1792-452b-b3c9-f9add8a36d7b · inbound

AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation cites this paper.

AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:55:28.796700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d64e5a8-a154-4bab-af04-d1c6479caf9d · inbound

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation cites this paper.

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:23.283185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af90498-5a8a-482a-8ae5-6955c5773bf9 · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T20:58:59.597356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 176c9530-0d86-42cd-81b3-64832d10da35 · inbound

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs cites this paper.

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:51.990657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a05b7f60-87c4-4274-9518-18f64a93479a · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 236

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:48.736011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523be358-6a02-4fe3-9e81-7937f9e2ebe4 · inbound

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation cites this paper.

FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T20:06:48.220115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b354e48f-0093-4020-8d0b-b2be9f6fc147 · inbound

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training cites this paper.

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:34.445313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de22e8b-56b4-4e21-9314-bd7aab38b9f4 · inbound

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm cites this paper.

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 92

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:33:32.615882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96a6c150-4b57-4b3c-b9c4-c4d85efb6ae9 · inbound

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models cites this paper.

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:03:20.512545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0258f75-d913-4a18-a842-ef43afdbcf01 · inbound

Strong Teacher Not Needed? On Distillation in LLM Pretraining cites this paper.

Strong Teacher Not Needed? On Distillation in LLM Pretraining OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.753895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7bab48b2-6ddf-435f-906e-08a2e1a4b156 · inbound

Variable-Width Transformers cites this paper.

Variable-Width Transformers OpenELM: An Efficient Language Model Family with Open Training and Inference Framework

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:58:58.621363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.