Pith. sign in

Paper Citation Record · LEDGER

Trillion 7B Technical Report

As of 17 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 3 inbound Pith citation observations for arXiv:2504.15431.

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

pith.paper-citation-record.v1
2504.15431 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:06.165668Z

measured 82 of 82 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:03:29.441119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:02:25.041239Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved77
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04bcd168-fc58-4b6e-ab23-7b644ff77eb0 · outbound

This paper cites Program Synthesis with Large Language Models.

Trillion 7B Technical Report Program Synthesis with Large Language Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.835060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.835060Z digest=sha256:473d23768f68b218d48391310db35282e7b8be9b99c11bb6d8b3f3f0cf5b9649

Observation 3e7ade0a-6bfe-48a3-9f91-44de13f1efe8 · outbound

This paper cites Does your data spark joy? Performance gains from domain upsampling at the end of training.

Trillion 7B Technical Report Does your data spark joy? Performance gains from domain upsampling at the end of training

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.839964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.839964Z digest=sha256:6d852d31b96b194d28b0747bb7ff8b9e04c8ebd2492f14f0fb2d7f1eba08cef2

Observation e0677841-d2d8-4ad6-acdc-cd7493fce581 · outbound

This paper cites Language Models are Few-Shot Learners.

Trillion 7B Technical Report Language Models are Few-Shot Learners

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.844076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.844076Z digest=sha256:142812246133bbeabf4a5cb237bec0df66d2d27b0772656aac903c8d432ba816

Observation 2b280196-efb6-4587-9893-72abba6e6cf9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Trillion 7B Technical Report Evaluating Large Language Models Trained on Code

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.848367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.848367Z digest=sha256:c2387682685da2bd21c5a7010dda959bdd759d3767d4ede24a00560c30ebdfe6

Observation dfb5884a-4314-4699-b180-d9363a12e695 · outbound

This paper cites Chiang, Z.

Trillion 7B Technical Report Chiang, Z

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.852567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.852567Z digest=sha256:62f154ac864d131a921f02de5c888627999805d5020a91900256b830a68b3459

Observation 16e3dbd2-70b4-4fb6-8096-07d41f25dfdc · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Trillion 7B Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.856367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.856367Z digest=sha256:6224d2d001a471f1b6e25e0de4633bf542b539d2c68ecf85126ec673642d022e

Observation cf3e3ddc-25c2-4c88-bcd6-5e77402e3270 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Trillion 7B Technical Report Training Verifiers to Solve Math Word Problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.864732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.864732Z digest=sha256:8762ad63c7a86916c7e0181cb29f901a0fce426250c6c39cd575add7451661b1

Observation a8fc0701-5a0a-4623-a5ec-6d91747f6277 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Trillion 7B Technical Report DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.868867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.868867Z digest=sha256:b49f51496c719eac797cdfe3f40528bc9aeb2fa22a4be25410deb0b9c63b7ee3

Observation 9ce578b1-3417-427f-b679-7ad00e07a1f7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Trillion 7B Technical Report DeepSeek-V3 Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.872924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.872924Z digest=sha256:0a3dd1a29e33a2163f2ecf74801426faea036529cad81874b3262f37ad332057

Observation 37f6ba26-cf76-476a-9c59-829f10b6e539 · outbound

This paper cites Understanding Emergent Abilities of Language Models from the Loss Perspective.

Trillion 7B Technical Report Understanding Emergent Abilities of Language Models from the Loss Perspective

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.876823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.876823Z digest=sha256:ca5d8f89ddeb88579d081b8d80aeb6a7001499f7f20508d38643e0a2513ec532

Observation f07ec0b1-dc1e-439e-9b37-f5dec4c983d0 · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.880611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.880611Z digest=sha256:01c29140e4b70d03a8a8875f9fe6add69e032ca3fe2b12b4d60b0b505c5cfa3c

Observation 87af04c1-cf21-4bf6-816e-7e81b8487fdf · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Trillion 7B Technical Report Better & Faster Large Language Models via Multi-token Prediction

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.884077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.884077Z digest=sha256:231e5bbea78bea749ce59ecae97c93cb1c0c5eb1bca79b3b355fd1802b225433

Observation f777e512-1719-4c02-a976-7d46f8c2a88d · outbound

This paper cites The Llama 3 Herd of Models.

Trillion 7B Technical Report The Llama 3 Herd of Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.887890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.887890Z digest=sha256:aa85a4e23dd885f8f35fd0f97682c74cedaab68df9f03a4666a9c4b295ce246c

Observation 18f3bfa6-9745-478f-8b5c-089c8c9801f7 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Trillion 7B Technical Report Measuring Massive Multitask Language Understanding

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.892108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.892108Z digest=sha256:78f73e89fccf4561c02f523e1788e67669b9d7cf599ecd72ed6fd5a873d5baa5

Observation a8fefd73-6801-40bd-8a0a-03567bb75651 · outbound

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

Trillion 7B Technical Report Measuring Mathematical Problem Solving With the MATH Dataset

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.895903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.895903Z digest=sha256:7337a8db9826a7c87a6af4e77219698d4e0bbe8bcf12d7e46cd350d670e5f5be

Observation 97987a3b-2c2e-4cfa-91a5-0b02f3d359f9 · outbound

This paper cites Hendrycks, C.

Trillion 7B Technical Report Hendrycks, C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:32:07.243146Z

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=arxiv_source observed=2026-08-16T11:32:05.899066Z digest=sha256:c9d7f5f9a483d23daba79f7a32e5e4e4b41dee7042785d0a7d46856f6f22537c

Observation 5436b784-4f44-4e04-8087-cfdbc89cd0f9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Trillion 7B Technical Report Training Compute-Optimal Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.902311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.902311Z digest=sha256:52fbfd5b0b2ac3f21c3c143f18d2a4f45923130c415da150b14ac14c81ab7668

Observation ffec1bd2-d350-4dfd-86cb-e43d6f7adb55 · outbound

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

Trillion 7B Technical Report MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.905684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.905684Z digest=sha256:7c66309954d4d46ab85bdbc2c69d814a0a5ac8c92035b4ffb43be0f1dbb75727

Observation 0b1cf965-f320-43ba-be7d-75782d723954 · outbound

This paper cites Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

Trillion 7B Technical Report Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.909089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.909089Z digest=sha256:0cecde488de9c4fa57bdbf38f68e4020f4f31ed9ca317a85359462aea50ac092

Observation 9023e88b-6531-4c36-820c-3cd9b907acaf · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:32:07.230768Z

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=arxiv_source observed=2026-08-16T11:32:05.912991Z digest=sha256:f4fda3ebc892494ae05b3d2ffa720f8212123d8c8b6f8a80c432e3f4d8a8cd77

Observation 20c231ad-60ae-4a14-8c63-74098a47dfb8 · outbound

This paper cites Mistral 7B.

Trillion 7B Technical Report Mistral 7B

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.917270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.917270Z digest=sha256:64982aef044ff80a40fd39f96c857b71acf6776233c26035642a8f8cb205c221

Observation 2583fd38-dae0-441c-9b15-995c90ca35da · outbound

This paper cites VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models.

Trillion 7B Technical Report VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.921550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.921550Z digest=sha256:125e28f6b25e86352acd43f6c533924d2950b6e3b008bb19e79f6f94c6b112d5

Observation e98d4396-fb00-41c4-a1ae-6649fdb09f54 · outbound

This paper cites Scaling Laws for Neural Language Models.

Trillion 7B Technical Report Scaling Laws for Neural Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.925276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.925276Z digest=sha256:cf11ecdd36bfe376704b1d815464ce33291c81296349902021eaad02788ed5a7

Observation de5f98e3-f64f-4fca-80c8-a08cafd9f3da · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:32:07.218738Z

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=arxiv_source observed=2026-08-16T11:32:05.929369Z digest=sha256:2c1ee0d11789fb2a99c84d4777d50b026d85566bb4b2f5ec1dab5ec432fda61a

Observation 06623267-7a52-4679-af2d-ef38e62055c3 · outbound

This paper cites What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.

Trillion 7B Technical Report What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.932970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.932970Z digest=sha256:c5cb4dc6a750167a436c0af2504befa928fad67990fe54bf050b32c50be49643

Observation 188d4b17-d28b-4d31-9102-68a398888846 · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:32:07.205847Z

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=arxiv_source observed=2026-08-16T11:32:05.937281Z digest=sha256:b5d5994f23ebe7bdfa2b875d7a081dad4b06be02ee31949b71af826a5b0903c0

Observation 022857c0-015a-464c-bfbd-d7c1624d3580 · outbound

This paper cites The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.

Trillion 7B Technical Report The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.941324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.941324Z digest=sha256:970df1cfffbd7dec833c566e71e2d9e4ed265b7e9bc5d52acfe1897adbb5df5e

Observation 6f389968-28ad-466b-bb34-36db4df252fc · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

Trillion 7B Technical Report Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.945961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.945961Z digest=sha256:be84db48fa25120e2d68dce867a4ebd0df2d4292919e5d66aaf7404e5096960b

Observation e3140f0b-9a9a-4ce7-a779-303ddef43b1d · outbound

This paper cites A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models.

Trillion 7B Technical Report A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.950467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.950467Z digest=sha256:4e2c459dc94e83a73312ac72fe95f97387bb17197c7429692d9e866bd64cc42c

Observation ed4495f9-e541-4059-99a8-a9c2424c6c26 · outbound

This paper cites Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap.

Trillion 7B Technical Report Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.955784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.955784Z digest=sha256:f8c523717d455140463c426ed9344a552057d863a12683a4dd1e0c514e3efd3f

Observation 28a08679-a95b-47b9-b40c-ab7252959343 · outbound

This paper cites OpenAssistant Conversations -- Democratizing Large Language Model Alignment.

Trillion 7B Technical Report OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.960061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.960061Z digest=sha256:a615293257c2346809c30113e41770d5c232b1a6f186036398ee288d55745a02

Observation b0b100b1-83da-4a04-bbdd-085f3c9be74a · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Trillion 7B Technical Report Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.963941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.963941Z digest=sha256:c9e51a66b7ac64d8754eff1fb1f33bfe4d098e0db869d92b8d986c7fb8d42c02

Observation 908e76b1-75a8-4102-84ab-fdc0b78a0328 · outbound

This paper cites The broader spectrum of in-context learning.

Trillion 7B Technical Report The broader spectrum of in-context learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.968242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.968242Z digest=sha256:840efcb3933210c5f96cb488d9beb219bc7d035907718369ec5b18e8cb8acb0c

Observation a608e41d-3d75-4d21-8021-033cc9064d1a · outbound

This paper cites The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design.

Trillion 7B Technical Report The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.972119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.972119Z digest=sha256:c936c128d53ba38d372b2219332215e52843f79bd246d8be5b66ed30965c3e79

Observation 3c78c0d4-416b-49fe-89b9-05eb82d5641a · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Trillion 7B Technical Report TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.975999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.975999Z digest=sha256:d785d55daa739007e96edc5eb873eefa75024eebdae6bd69b6c49853ea7a5913

Observation fcba55e9-0962-4d6a-8d92-17362f4b694d · outbound

This paper cites Visual Instruction Tuning.

Trillion 7B Technical Report Visual Instruction Tuning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.979888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.979888Z digest=sha256:0dc23f5684df889a73189e9ebb529e6f976f323352388b03a1b9124e4dc479ba

Observation 0bdd92bb-6bdf-46d2-9552-b3e586dd9189 · outbound

This paper cites A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Trillion 7B Technical Report A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.984232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.984232Z digest=sha256:0ec9c84c8a801a8e1808ec5114aa6377e76c5404dc2bbe701e7cae1e0d7bd3d6

Observation f3ed91ed-1d82-4afe-9749-bd44bc95ba28 · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Trillion 7B Technical Report Crosslingual Generalization through Multitask Finetuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.988429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.988429Z digest=sha256:58dba9d71d7d8d96068a864df54fd315d280de21713213164a811f62e4605084

Observation b8bd1b4c-0b7f-4177-9b81-3570c16ebc27 · outbound

This paper cites 2 OLMo 2 Furious.

Trillion 7B Technical Report 2 OLMo 2 Furious

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.991938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.991938Z digest=sha256:8c007671759a603b41915f91db5b80644fd8ad236efeb64125d4131c9e705e67

Observation e526c803-8d8d-4788-bed3-c077e203c9a4 · outbound

This paper cites GPT-4 Technical Report.

Trillion 7B Technical Report GPT-4 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:05.996464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:05.996464Z digest=sha256:d157490a85a2a9f1bd4f6664b33a1a7edb5f1cfbc8ed3fc6f0cb960168bb4b55

Observation 3e52e8f0-f052-4a6f-94b7-af56ab106407 · outbound

This paper cites Meta-learning of Sequential Strategies.

Trillion 7B Technical Report Meta-learning of Sequential Strategies

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.000041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.000041Z digest=sha256:29182942f8240c9ae5fa216c6682c69b3e9c6d248aee101830039a67698f87dc

Observation 512164ec-3ca0-4d6d-ac65-438799578762 · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 43

Resolution
verified exact
doi, observed 2026-08-16T11:32:06.209619Z

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=arxiv_source observed=2026-08-16T11:32:06.004180Z digest=sha256:32c30854d12af844ad4cda6b15bda439f2e9f0094fee91d323dca03d68a7ba48

Observation faf613a1-7174-418d-a56d-26f693e12696 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Trillion 7B Technical Report The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.008010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.008010Z digest=sha256:f3383883988fcd9867740f36b608a35c7fc42af2ff0d88fa143d322da7d97187

Observation 8cb7fc23-b309-425f-8368-199465a71f3d · outbound

This paper cites How Does Code Pretraining Affect Language Model Task Performance?.

Trillion 7B Technical Report How Does Code Pretraining Affect Language Model Task Performance?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.012307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.012307Z digest=sha256:64cb6751a94269ec8ef00fa2925ff46e908d010d0ddabc1978de70e922db0291

Observation ce8c4e26-4717-4871-9077-b7dac5914548 · outbound

This paper cites Qwen2.5 Technical Report.

Trillion 7B Technical Report Qwen2.5 Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.016567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.016567Z digest=sha256:524c2111f1db39d5f9b399054bf732cf8b8c12869e7ad6cfdec911db318ba86d

Observation 44d3132a-8b98-44d7-9bd0-2609dccf8122 · outbound

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

Trillion 7B Technical Report Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.022005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.022005Z digest=sha256:dc98e65a32186b1e3d67cf25e2a51f7136984609d147b55db1eae5ad7bf4a68c

Observation 1389ae17-385e-48d8-8f5f-8cfe6e1563ff · outbound

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

Trillion 7B Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.027360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.027360Z digest=sha256:dbce413d644e4df853dc7f7cbf5f16112f1fdfa8c2c393e4a4c95d0874c811d0

Observation eeb02b56-a3d5-4d8c-ac6c-51a1d3316109 · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:32:07.191707Z

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=arxiv_source observed=2026-08-16T11:32:06.032644Z digest=sha256:44aac9d226c7c501bd2cb8a222d0a2a410c1ac39172ae117de799547663eb451

Observation 6ab76ca2-8a06-4f39-9079-e7b196f1c8db · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.037274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.037274Z digest=sha256:c4769c83518c905ef3e967df5ee42941d9d33450422584e1698488dca3d158c5

Observation bc5b5dcc-ebf0-454c-990a-f817d06271f9 · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.042593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.042593Z digest=sha256:a9ebea7f0bc5e3ae09c250c019fef52105945a8606c5985e32b9a32020326b30

Observation 42f24c84-d62d-452c-9fab-c9378463a0f9 · outbound

This paper cites How does a Language-Specific Tokenizer affect LLMs?.

Trillion 7B Technical Report How does a Language-Specific Tokenizer affect LLMs?

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.046705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.046705Z digest=sha256:40c247e8d30f0ee716685ae2ddfbab9bde364ad0311039be0b3188060f6bd9ac

Observation 9e5d18b3-d643-43be-a45d-a8543a105b28 · outbound

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

Trillion 7B Technical Report DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.050657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.050657Z digest=sha256:0e8d5cf64cf785ae1d8ee599149c7bfcd4a7b73098dd736b54edd0d1571eae3f

Observation 52983d57-b6e5-490e-98cc-8c3ab1eac37b · outbound

This paper cites GLU Variants Improve Transformer.

Trillion 7B Technical Report GLU Variants Improve Transformer

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.054535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.054535Z digest=sha256:b1f8f91ba51b6eeee0442dce8d87fab3beebf342dd025b3dbc190e78363a8609

Observation bf18a09f-c2c9-4bba-9b68-02a053024571 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Trillion 7B Technical Report Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.058584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.058584Z digest=sha256:5bbaeaf3dd0848d615739c1526f7ff3796a26246da0e1ccd4cd47ec01060c037

Observation de166877-9114-4b9b-93a3-b45a2db4e221 · outbound

This paper cites Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation.

Trillion 7B Technical Report Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.062578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.062578Z digest=sha256:22932dac1cd0183abdd3ba9951078f585cd6734cc48db8785c4e5520c07fc92a

Observation 4b75a84f-1207-41fb-b1cb-41747e08530b · outbound

This paper cites HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models.

Trillion 7B Technical Report HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.066391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.066391Z digest=sha256:89c329b2a0d9d59bba2938923fc7d567ed3671739c0edd2a4042284ef1e4de49

Observation 18cbc2a5-7bc6-4d32-917f-7017b0c656e9 · outbound

This paper cites KMMLU: Measuring Massive Multitask Language Understanding in Korean.

Trillion 7B Technical Report KMMLU: Measuring Massive Multitask Language Understanding in Korean

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.070319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.070319Z digest=sha256:21b8ebb7143388fedcd401c37665d0bf29f4c269f95bea27120c9aab602f93c8

Observation d5ab652a-d770-4291-9a76-b7501cfa6e1f · outbound

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

Trillion 7B Technical Report RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.074336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.074336Z digest=sha256:3121dca61c7c846e1f40036763918680c502e762cf500dc346330f8e031031e0

Observation 1652c657-4c63-43ea-8e8d-05ef74895200 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Trillion 7B Technical Report Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.079010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.079010Z digest=sha256:7200dc777070e75c0417ac4be5e0358f65a85033f8f4af08ec29c61a333a9bf1

Observation d184b6cd-05a8-427b-9dbc-ef1c9c4c192b · outbound

This paper cites Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.

Trillion 7B Technical Report Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.083327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.083327Z digest=sha256:de80c2dadcb43e6b6c47273baf343015b32de2fcb3b3e71fe75b01e099dcab68

Observation bba9d950-6d05-48de-8787-f83a143b1e49 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Trillion 7B Technical Report Gemma 2: Improving Open Language Models at a Practical Size

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.087951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.087951Z digest=sha256:aa48a62f81fc186c172024aaa8a85f412b6ada7f1263072b194bdf7bee367349

Observation 6fc76b5f-3572-4ee2-b5df-a9c827417d23 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Trillion 7B Technical Report Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.092680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.092680Z digest=sha256:3ca9d402f3fee3e913689eb83d0f0f371cab4266a2d008691685ad3a2027c842

Observation 799cd68c-d325-4194-b8f2-cb656789a260 · outbound

This paper cites Attention Is All You Need.

Trillion 7B Technical Report Attention Is All You Need

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.096974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.096974Z digest=sha256:9ca887936a25e771f9aa678a272a0bf7d7485dfccfaa784bc1991945455d1dab

Observation 75daefeb-1c33-4e0e-b899-b03e1ca80958 · outbound

This paper cites Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.

Trillion 7B Technical Report Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.102511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.102511Z digest=sha256:8a36e7ee2b29fd0217e8a9386bb08e258ed7a952a235b028bb97ca9497e5db61

Observation 721d49f8-5c5c-48c4-aaa2-a2049a30770a · outbound

This paper cites Do Llamas Work in English? On the Latent Language of Multilingual Transformers.

Trillion 7B Technical Report Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.106379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.106379Z digest=sha256:a9583cdd008ae8d6e955ce8c558ea0ed407195e0dbc4c21512a73ee6332b0fc3

Observation 274b361e-4245-4f1b-b5ad-35630e64a27c · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Trillion 7B Technical Report BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.110113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.110113Z digest=sha256:1b6170f6ec61d3f20767789ea8767b772afe394ff9dc662b15cd3c7edf6d4663

Observation fc2957c2-776c-439f-83ce-fc4cbf762141 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Trillion 7B Technical Report Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.113579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.113579Z digest=sha256:7d57bb3f568a21aac666a67c7cdfaeff30bf92a5de70c41727195d79b0a17a1a

Observation cdea5cac-3103-42ef-b352-3f11788b9353 · outbound

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

Trillion 7B Technical Report Effective Long-Context Scaling of Foundation Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.117439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.117439Z digest=sha256:bd58e7632d4666c8d51954eaa6908f0c08dcda86c010dc80e51ae9b660a89a0f

Observation cca65cda-40af-4d0d-98aa-70ea1c9ad0af · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Trillion 7B Technical Report mT5: A massively multilingual pre-trained text-to-text transformer

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.121487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.121487Z digest=sha256:b76678d786623ec191690955ff969fcfe1efafc971e9717387315562567aae15

Observation fb505a61-c51f-40e6-bd99-fd99f05301e4 · outbound

This paper cites Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability.

Trillion 7B Technical Report Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.125551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.125551Z digest=sha256:4a38dab36009f1b9dc0619b4fae0595c11263ce511719c8e4f31833152a00fb6

Observation ef03d872-8937-4578-ae39-dde03ff53c3a · outbound

This paper cites Code-Switching Curriculum Learning for Multilingual Transfer in LLMs.

Trillion 7B Technical Report Code-Switching Curriculum Learning for Multilingual Transfer in LLMs

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.129310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.129310Z digest=sha256:b3febf7e3725ff7a9a676b3eab3ab15485b564a2d103df953c5dc4792d04cef4

Observation 7d62fe99-1f2f-4d83-b837-1bc688024f22 · outbound

This paper cites HyperCLOVA X Technical Report.

Trillion 7B Technical Report HyperCLOVA X Technical Report

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.133353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.133353Z digest=sha256:f2cd0b3ed4534e6ac625773f8b745b21f2704fbe93c3770b9a4f340b3b1d23f4

Observation d0b48026-e44a-47c9-b790-9a28c7d625d0 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Trillion 7B Technical Report HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.137853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.137853Z digest=sha256:7168416a09acf82d5c9ebc224a1612849c9946387dc27a0741af4f6f3a578c00

Observation b663ba48-adcc-4465-85ac-1ee898e7a80b · outbound

This paper cites Root Mean Square Layer Normalization.

Trillion 7B Technical Report Root Mean Square Layer Normalization

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.141984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.141984Z digest=sha256:bfd4c398837817dbc7c22aa24fe9e23db331de468ce8e4893fe5211508512ae6

Observation f7ec2889-3780-4241-a9f2-73e38a9f031e · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

Trillion 7B Technical Report PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.146187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.146187Z digest=sha256:e7a21d8610081ebf54219deefe8d2e1e77dd6bc549c94fdf08a307054540a50a

Observation a23183da-3b96-44dd-b6d7-c446ac5f5ccb · outbound

This paper cites an unresolved cited work.

Trillion 7B Technical Report Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.150036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.150036Z digest=sha256:e243702fe1da467e0291c7984138a528df741d91c79278582d2fde257367f2af

Observation 97e4446c-c0fa-461f-9ccd-48f1799f5c42 · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

Trillion 7B Technical Report How do Large Language Models Handle Multilingualism?

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.153692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.153692Z digest=sha256:8940a2325137d07af79c77543472e99b0d876ba0512e897d592e4c57a4eb9969

Observation 36edc9bd-408f-418a-be67-6f9122dec057 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Trillion 7B Technical Report Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.157746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.157746Z digest=sha256:92b29be02d9bfe2c05f01800210fbd7bd1c8217b8ac020270f15408e14486a3f

Observation 53508021-71e9-4b2f-b8f8-5e11ee0e060e · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Trillion 7B Technical Report Instruction-Following Evaluation for Large Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T11:32:06.165668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:32:06.165668Z digest=sha256:3a3acde20be5aadd3812c3d6e17b820eee1a7ef9e8c521c6bfca8529a1c967b9

Pith citing papers

Observation cee8e276-868b-439f-9936-ef9122f21985 · inbound

K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean cites this paper.

K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean Trillion 7B Technical Report

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T20:03:29.441119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:03:29.441119Z digest=sha256:ecc7fe73363d827142c95b81b5db4695a8b0e109cd864278f3764cc4d04c8293

Observation 2fbfaac3-093a-4bbd-b242-cc0e700716c4 · inbound

Predicting LLM Reasoning Performance with Small Proxy Model cites this paper.

Predicting LLM Reasoning Performance with Small Proxy Model Trillion 7B Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T15:52:00.680376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:52:00.680376Z digest=sha256:706c32e7a26fa77bf29a1486f714222d377de2a73eab4ee87b043f2fcdf192a4

Observation f5ad7615-def5-4240-a127-7a9f6a04bda4 · inbound

Optimizing Korean-Centric LLMs via Token Pruning cites this paper.

Optimizing Korean-Centric LLMs via Token Pruning Trillion 7B Technical Report

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:02:25.042527Z

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=2026-05-10T07:59:57.505776Z digest=sha256:0af58ba856d78bd5bf606cd010a1f370a9a8a6bcfc0dd59042954c7de1106d73