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Paper Citation Record · LEDGER

Yi-Lightning Technical Report

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 4 inbound Pith citation observations for arXiv:2412.01253.

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

pith.paper-citation-record.v1
2412.01253 v5

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:34:12.122410Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:37:21.595210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:10:42.027045Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea03d03c-99a3-493a-82f3-fcfbf5e8af9c · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Yi-Lightning Technical Report Yi: Open Foundation Models by 01.AI

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:11.980335Z digest=sha256:1f9610cac6d101c32674de95131bf94fff937b2e02798e575cea0a0a31e705d1

Observation 00baf75d-2281-4eda-9c6b-97966ea87b35 · outbound

This paper cites GPT-4 Technical Report.

Yi-Lightning Technical Report GPT-4 Technical Report

Reference 3

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source=pdf_text observed=2026-08-12T04:34:11.988735Z digest=sha256:b080719b13c88f8e467c9b25f99adeb4b4abcf914dd84e2ec943ad55484da7ab

Observation 5a39aff7-c5a7-4a26-ae49-d3b5129a31d3 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Yi-Lightning Technical Report Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:34:12.000525Z digest=sha256:07e5f81403b2f0e64e870df19731f9f199e8f48e5ed8d8d246259f90370b01cf

Observation 08938b3e-f35d-4592-a377-fe040b8c515f · outbound

This paper cites Ralph Allan Bradley and Milton E Terry.

Yi-Lightning Technical Report Ralph Allan Bradley and Milton E Terry

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-12T04:34:12.512255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:34:12.008553Z digest=sha256:63a85558141f3e2e7553509aa6e59f5968db24e4cd05d0c7640744dbd302837c

Observation 5e8bd9be-a5b2-46e2-8775-d5197d5fac09 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Yi-Lightning Technical Report Training Verifiers to Solve Math Word Problems

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:34:12.016047Z digest=sha256:b8e80357889ee5b9841af3f533d90eb626ee31d0e05bc773d78a59b64d8af72c

Observation 64b4b0c1-df67-4e29-b1bc-aab2c792f077 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Yi-Lightning Technical Report UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.019562Z digest=sha256:bc8875743d7f62f58386527c0a6516b43da7cac6e67d78cb0704ea397b8fc3de

Observation c250a6f1-c806-4428-904f-28f8702e6406 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Yi-Lightning Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.023527Z digest=sha256:02677835913a30da9d7eceea835ef432d1702ce7b65692ac9d634fedcdf042d2

Observation 983746da-af69-46bf-bde7-e9a72e10ea76 · outbound

This paper cites Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization.

Yi-Lightning Technical Report Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization

Reference 13

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source=pdf_text observed=2026-08-12T04:34:12.028403Z digest=sha256:e047bbe3bf48a987b7aa802b0a0264fdebc618636fd8b794b890c369efe4928c

Observation 53b8046e-3de3-41e2-b713-eff752210ca0 · outbound

This paper cites The Llama 3 Herd of Models.

Yi-Lightning Technical Report The Llama 3 Herd of Models

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:34:12.032254Z digest=sha256:49f4a2f2ad77f71894a00f2600b6baf966af51dd47e86991ccb4f13440ad3e9c

Observation cecc9131-8041-4d2d-840e-45298b54f3f6 · outbound

This paper cites Data Engineering for Scaling Language Models to 128K Context.

Yi-Lightning Technical Report Data Engineering for Scaling Language Models to 128K Context

Reference 15

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source=pdf_text observed=2026-08-12T04:34:12.036010Z digest=sha256:e325decfdf38b17710931230510a1ec0a6faea03ef5a4701aedb00655b654b61

Observation 6f912a70-70f2-4307-a37f-5a17ee941124 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Yi-Lightning Technical Report Gemini: A Family of Highly Capable Multimodal Models

Reference 16

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source=pdf_text observed=2026-08-12T04:34:12.039723Z digest=sha256:15b7e4fb4a97771d86c6d07314d2e694671f428c7a9f504054a694f296d73de6

Observation 7c8096c5-a61a-47f8-9a52-e6ff6d078f39 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Yi-Lightning Technical Report DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:34:12.043166Z digest=sha256:26984a2e7c09d7e164804bdd469114e1a807ee51e8282b48e526d3004920ce99

Observation 2f0f1e57-9d31-4fc4-a3fa-72e9c7757a6e · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Yi-Lightning Technical Report Measuring Mathematical Problem Solving With the MATH Dataset

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T04:34:12.046717Z digest=sha256:bf08732978b866613fbec0140920aad443c0bf26a2b8d9870459702d8f6b0bf6

Observation 86e42186-0b8e-4168-b0f9-987c69d11ded · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Yi-Lightning Technical Report MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 19

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no resolver link, observed 2026-08-12T04:34:12.050342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.050342Z digest=sha256:b9ff12e2f3b86403f4a8aa78c3d533ebd5346fb28cbba9f00491518cb6c0aa23

Observation 88bf8412-69da-4847-9787-b368f85d46f5 · outbound

This paper cites Simple and Scalable Strategies to Continually Pre-train Large Language Models.

Yi-Lightning Technical Report Simple and Scalable Strategies to Continually Pre-train Large Language Models

Reference 20

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source=pdf_text observed=2026-08-12T04:34:12.054446Z digest=sha256:32451cd5d41a911a8430e13350880cfd2a066b83bcca720d121c67a40284ca4b

Observation ecc0d888-6379-4320-980f-19ccf286a0b3 · outbound

This paper cites Mistral 7B.

Yi-Lightning Technical Report Mistral 7B

Reference 21

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source=pdf_text observed=2026-08-12T04:34:12.057854Z digest=sha256:99b731065219eddffcce5133144f6a75a8dab4342ef3c082c0235d2773cf6de5

Observation 316fed17-c465-4f68-bb06-0039c9af4501 · outbound

This paper cites Mixtral of Experts.

Yi-Lightning Technical Report Mixtral of Experts

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.061629Z digest=sha256:4552b9e3756c22aa4ea4829d4cb2c89a7dfd3834f38df928579544aa3c836052

Observation 127569ea-77e6-4442-aaa0-510f606f9552 · outbound

This paper cites Let's Verify Step by Step.

Yi-Lightning Technical Report Let's Verify Step by Step

Reference 24

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no resolver link, observed 2026-08-12T04:34:12.068834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.068834Z digest=sha256:6336ba491db90f2b9b6124ecc62c5b39484b9b695c41b1157d5399fff9d47b3d

Observation 8575a52a-d8f1-414a-b74f-29aa51fb6bcb · outbound

This paper cites WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

Yi-Lightning Technical Report WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.072194Z digest=sha256:4a8ebc111c9961195f583e908e41893dd0bc6911fcd8718af329899a7cc2900d

Observation 836485a9-f86c-4bb0-894b-ede0812430d5 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Yi-Lightning Technical Report DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 26

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no resolver link, observed 2026-08-12T04:34:12.075538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.075538Z digest=sha256:5d78d29acc5145d5dedc698f8b8c0b78a438a8b29f8bcb4415e8934328634088

Observation 1b350f83-636f-4bf5-be29-05ba3e868105 · outbound

This paper cites AlignBench: Benchmarking Chinese Alignment of Large Language Models.

Yi-Lightning Technical Report AlignBench: Benchmarking Chinese Alignment of Large Language Models

Reference 27

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no resolver link, observed 2026-08-12T04:34:12.079217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.079217Z digest=sha256:5cd865e0a7b06d6118d1d149fdfed746be6b4090cdc343c36a648eac0ccf7e75

Observation 0084b3ad-1857-4e01-84da-810506f4dda6 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Yi-Lightning Technical Report Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 28

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no resolver link, observed 2026-08-12T04:34:12.083464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.083464Z digest=sha256:67739ff369f583091a8c57e5f9549d990e7b7c120aa8573e96612b3f89fdcd8b

Observation 5675a4b4-09f7-4787-b95f-656d80e52640 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Yi-Lightning Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 29

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no resolver link, observed 2026-08-12T04:34:12.087004Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.087004Z digest=sha256:bfc172aae1ccd04db274ee137dcab8437ecf506340df6903bed61d60f7af6325

Observation 51b64677-5aa3-4de8-b7f2-c306e339f586 · outbound

This paper cites In-context Pretraining: Language Modeling Beyond Document Boundaries.

Yi-Lightning Technical Report In-context Pretraining: Language Modeling Beyond Document Boundaries

Reference 31

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source=pdf_text observed=2026-08-12T04:34:12.094024Z digest=sha256:06bf6217d49c380b005ec6be9d980ce07656afb1082f4971b652c301bc503b69

Observation 5fe5e228-41a1-4b00-8d29-50f13a4701e5 · outbound

This paper cites HelpSteer2: Open-source dataset for training top-performing reward models.

Yi-Lightning Technical Report HelpSteer2: Open-source dataset for training top-performing reward models

Reference 33

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no resolver link, observed 2026-08-12T04:34:12.100832Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.100832Z digest=sha256:6c60c78b97a999d87d617f0c0a936cd44171ef96e75c582c7986b539348a635f

Observation 9cddad26-3c1d-441e-90fc-58c3031171bf · outbound

This paper cites Iterative preference learning from human feedback: Bridging theory and practice for RLHF under KL-constraint.

Yi-Lightning Technical Report Iterative preference learning from human feedback: Bridging theory and practice for RLHF under KL-constraint

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-12T04:34:12.501354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:34:12.104393Z digest=sha256:58bef38dc6b7b1e491c0285e09d4269cc6521cfef02d2901394fde379f5ec2a1

Observation dbb1d31c-dfe5-4825-9108-012abf3a98a3 · outbound

This paper cites Effective Long-Context Scaling of Foundation Models.

Yi-Lightning Technical Report Effective Long-Context Scaling of Foundation Models

Reference 35

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source=pdf_text observed=2026-08-12T04:34:12.107913Z digest=sha256:0e774e44baceefa41389b0333f73397470d3b855c34d2c0da9f931c5ade36f03

Observation 97e969f8-54b4-446d-a4b2-e6d565bd98b0 · outbound

This paper cites Qwen2 Technical Report.

Yi-Lightning Technical Report Qwen2 Technical Report

Reference 36

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no resolver link, observed 2026-08-12T04:34:12.111626Z

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source=pdf_text observed=2026-08-12T04:34:12.111626Z digest=sha256:73e7afd688001c917111f5b8abfabbe31ef6479d81b8abd65d08c6214d3f92f6

Observation 148d92cf-7144-4087-a5ff-2f53ed512b57 · outbound

This paper cites ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs.

Yi-Lightning Technical Report ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs

Reference 37

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no resolver link, observed 2026-08-12T04:34:12.115259Z

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source=pdf_text observed=2026-08-12T04:34:12.115259Z digest=sha256:bb7152ee8ee119c5eb34b1ebaa4aa45431ef26fd2e030755e0be986b6d12e4e0

Observation b9069d97-5e68-4768-8d1e-80cc24e15a52 · outbound

This paper cites Model Extrapolation Expedites Alignment.

Yi-Lightning Technical Report Model Extrapolation Expedites Alignment

Reference 38

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source=pdf_text observed=2026-08-12T04:34:12.118618Z digest=sha256:58c171e78ae59ef720cfac14d778bdbc56801c7fe0d9a116fe5c6644b2562c83

Observation d5e41e5d-3341-4c39-93a2-a22bd8a740b0 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Yi-Lightning Technical Report Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 39

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no resolver link, observed 2026-08-12T04:34:12.122410Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.122410Z digest=sha256:8a5bc20d3f4fc3d7a13e31b4ca18b8dc7a4b017e88bdd08bcb772933c9a51810

Observation 1fd3b676-f2cd-46de-ae08-7087dd056808 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Yi-Lightning Technical Report Evaluating Large Language Models Trained on Code

Reference 1952

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no resolver link, observed 2026-08-12T04:34:12.012223Z

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source=pdf_text observed=2026-08-12T04:34:12.012223Z digest=sha256:5b7d9c5f504895640434b73b687b2fceea2b0d7b41726d3239b54b9de1d41631

Observation 29d7d6d6-c66e-4aa5-92bc-bf091d566187 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Yi-Lightning Technical Report RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 1999

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no resolver link, observed 2026-08-12T04:34:12.097542Z

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source=pdf_text observed=2026-08-12T04:34:12.097542Z digest=sha256:bda24307a66f7f7c909dbfe3c6a34297af92defbc5fd40226e05d12afa238040

Observation 0604c127-94d3-4b2f-a9e2-37937a60dd66 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Yi-Lightning Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2002

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source=pdf_text observed=2026-08-12T04:34:12.090560Z digest=sha256:91c42a1885cda33304d897162710f4c59c2a41436f1f35a1174ce92839258220

Observation ec9a2b1a-f882-42b6-967b-06d0f10aa2da · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

Yi-Lightning Technical Report From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 2018

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no resolver link, observed 2026-08-12T04:34:12.065245Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:34:12.065245Z digest=sha256:e539eead323ee863c3122f4503a520aa5298bfcccb9209862753946047ab3653

Observation 6babc63f-a120-45c5-9369-24835b7ba78b · outbound

This paper cites Qwen Technical Report.

Yi-Lightning Technical Report Qwen Technical Report

Reference 2021

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no resolver link, observed 2026-08-12T04:34:11.996478Z

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source=pdf_text observed=2026-08-12T04:34:11.996478Z digest=sha256:0812a12ced4c057f35d02ede51cef5bca5745240bb766a7084131bfcca9816e2

Observation ed262cf8-8078-4f91-b67e-ebd1fc30aab3 · outbound

This paper cites Ocp summit 2022: Open hardware for ai infrastructure, Nov.

Yi-Lightning Technical Report Ocp summit 2022: Open hardware for ai infrastructure, Nov

Reference 2022

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verified fuzzy
raw_fallback, observed 2026-08-12T04:34:12.524170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T04:34:12.004991Z digest=sha256:08ed5154da03f2e0577efb704dea650c1a08d12dde2c6738339d37f50debf101

Observation fb487de0-2128-43af-9592-55e529505f80 · outbound

This paper cites Program Synthesis with Large Language Models.

Yi-Lightning Technical Report Program Synthesis with Large Language Models

Reference 2023

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no resolver link, observed 2026-08-12T04:34:11.992717Z

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source=pdf_text observed=2026-08-12T04:34:11.992717Z digest=sha256:cb3f33eff8aed06fe428cb8ac4fac51e9edfb30aa3456edb7ea55782120394fc

Observation 33576d36-4eaf-433a-af59-d17992e5e209 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Yi-Lightning Technical Report Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

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no resolver link, observed 2026-08-12T04:34:11.984688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation ccdba4cd-bb1c-4b42-ac96-26775a90ecf0 · inbound

ProcessBench: Identifying Process Errors in Mathematical Reasoning cites this paper.

ProcessBench: Identifying Process Errors in Mathematical Reasoning Yi-Lightning Technical Report

Reference 18

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Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge cites this paper.

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge Yi-Lightning Technical Report

Reference 33

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OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling cites this paper.

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling Yi-Lightning Technical Report

Reference 43

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Observation 4114b12d-141c-4736-8c35-f2c71d6f128e · inbound

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards cites this paper.

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards Yi-Lightning Technical Report

Reference 39

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arxiv_id, observed 2026-05-21T22:10:42.028890Z

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