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Paper Citation Record · LEDGER

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

As of 24 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 11 inbound Pith citation observations for arXiv:2507.13618.

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

pith.paper-citation-record.v1
2507.13618 v4

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:24:34.425448Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:16:49.111706Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T11:16:11.482499Z

Reference resolution

63 of 63 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a479c883-80ab-4f15-be41-64575c97cced · outbound

This paper cites Brown, Stephen A.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Brown, Stephen A

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.696286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.022478Z digest=sha256:e608e5bba5261b461fefd5ac7773c16b30f5607d5f34b1788cda861c2cf5c475

Observation 0f187fa1-2026-48c5-8d14-f5cbe1b947a4 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 2

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no resolver link, observed 2026-08-06T16:24:34.027854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.027854Z digest=sha256:d728bb6a83cc5654f34ab40242260ed8ec3bd743f56bfef52af357343ed39156

Observation a5f5247e-4cb1-4679-a191-2c24f4590167 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 3

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no resolver link, observed 2026-08-06T16:24:34.033336Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:24:34.033336Z digest=sha256:ceab193de626e80b24894c4efb545a5631a02d2d94a09236751f30a6d12d3d6e

Observation dd06dc95-14cb-4865-b252-d423fd37ac35 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 4

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no resolver link, observed 2026-08-06T16:24:34.038732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.038732Z digest=sha256:204686b9391c54b000d3004f766ea77464a84f0afdc8997f36139d9bb8cc9d29

Observation 81a1be53-cfbe-474c-aaad-a478a100070e · outbound

This paper cites The unreasonable effectiveness of few-shot learning for machine translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The unreasonable effectiveness of few-shot learning for machine translation

Reference 5

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local_arxiv, observed 2026-08-06T16:24:35.155087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.053828Z digest=sha256:adccd2985664d0c40784dbedb3bc4ac0fc517c76fd0dfbd23a07a60d5e225a3f

Observation b3648d29-9db0-4a59-ac5d-7f99bfcc32f9 · outbound

This paper cites Multilingual machine translation with large language models: Empirical results and analysis.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Multilingual machine translation with large language models: Empirical results and analysis

Reference 6

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raw_fallback, observed 2026-08-06T16:24:35.662306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.058868Z digest=sha256:3f712ec2b58a40f16914010a5a087ab1e1c98a526188823ce9105a6029f0c0eb

Observation 65cf4534-0caf-4dd8-8cec-94b5535e4528 · outbound

This paper cites A paradigm shift in machine translation: Boosting translation performance of large language models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A paradigm shift in machine translation: Boosting translation performance of large language models

Reference 7

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raw_fallback, observed 2026-08-06T16:24:35.645158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.064302Z digest=sha256:9dc1d089d2220e5da7aa8a68dee85bb4f94d4dd378e3344e3e6266be75cc4809

Observation ac1b9c4a-47e0-4e4e-91c9-762e7eadfe23 · outbound

This paper cites Alves, José Pombal, Nuno M.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Alves, José Pombal, Nuno M

Reference 8

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raw_fallback, observed 2026-08-06T16:24:35.628970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.068604Z digest=sha256:a65889efb1bfe1000a0d6ca3643b6540dd1d86331318a5cafd7b357a53b089cd

Observation 8c28097a-ecff-45ea-9ea6-c7d7f40a45a0 · outbound

This paper cites Claude 3.5.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Claude 3.5

Reference 9

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raw_fallback, observed 2026-08-06T16:24:35.611968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.073278Z digest=sha256:a8d3ade68833ab8199248648295e7bb7b1f217f0119764de123801d9deeb61fb

Observation d215709d-d358-4f0f-bf00-132541b53008 · outbound

This paper cites Findings of the WMT24 general machine translation shared task: The LLM era is here but MT is not solved yet.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Findings of the WMT24 general machine translation shared task: The LLM era is here but MT is not solved yet

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.596928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.078763Z digest=sha256:76f287fb08835711fb4376c065bc9f48d959718be844fb1804583d2745ce69cc

Observation c564a410-568c-4bed-978b-3b3429727ec5 · outbound

This paper cites Salute the classic: Revisiting challenges of machine translation in the age of large language models.Transactions of the Association for Computational Linguistics, 2025.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Salute the classic: Revisiting challenges of machine translation in the age of large language models.Transactions of the Association for Computational Linguistics, 2025

Reference 11

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raw_fallback, observed 2026-08-06T16:24:35.581195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.083403Z digest=sha256:623f40a30e8e17a6177d65dcae9ac277d1a2ed604955dc0c6adb124c3f94fa21

Observation 035ac580-2abc-4877-a697-ed3d0598b9c4 · outbound

This paper cites Gemma 3 Technical Report.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Gemma 3 Technical Report

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.088794Z digest=sha256:a00a588e575924c6988ec79aa5a0e29202359763efe4debce0f8c68450240b30

Observation ab6b5e03-cb65-4925-97f1-0157ca2952fd · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.https://ai.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.https://ai

Reference 13

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raw_fallback, observed 2026-08-06T16:24:35.559195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.093021Z digest=sha256:8555317437a983c3659c06f9970b6da932a8d1f43e4531a518e476af6ed875d1

Observation 2cad11ad-ab21-49f5-b775-113478d13224 · outbound

This paper cites Qwen3 Technical Report.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Qwen3 Technical Report

Reference 14

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no resolver link, observed 2026-08-06T16:24:34.097319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.097319Z digest=sha256:2b99967bfd6e4718ddd01231ba7bc7a47471bc720e75d73047cfdf11d42829c9

Observation 60378663-7e02-4259-9ebf-22bba71002ae · outbound

This paper cites Hello gpt-4o.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Hello gpt-4o

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.535330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.101782Z digest=sha256:a8b553aeb3c1a8032a2669dee0de23bc15d7de26f9c41481249335ad23ad5291

Observation c135ca62-db39-4ced-9dbc-c984d30a1065 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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no resolver link, observed 2026-08-06T16:24:34.107483Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.107483Z digest=sha256:7a328270ba770d956075e9fa2e6d721468cd19d9dbece56134a463a6c030774c

Observation 36a1b167-8f32-409a-b4fd-ad526ad3b3fd · outbound

This paper cites Gemini 2.5.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Gemini 2.5

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.520404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.112464Z digest=sha256:f5b4a6bf4528cfd38dbe7752d91e6777ce0ac275c01e6a2fc64283012dee429a

Observation 614ccc8c-d4d9-45eb-a85e-d3c85c249501 · outbound

This paper cites # instag: Instruction tagging for analyzing supervised fine-tuning of large language models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters # instag: Instruction tagging for analyzing supervised fine-tuning of large language models

Reference 18

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raw_fallback, observed 2026-08-06T16:24:35.505357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.121002Z digest=sha256:b90c4af315a2fababe2acf4d9f86914f76fc9ebd744868e93fb9efc7ff4dd4d1

Observation 981093d9-8450-48ab-b937-cf941bf692f4 · outbound

This paper cites Mistral 7B.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mistral 7B

Reference 19

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no resolver link, observed 2026-08-06T16:24:34.125956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.125956Z digest=sha256:dab8e7cfaa104e2763d61145a8e7b64362286ffda0f7f4170855d02d6b481f7e

Observation d6ac3ca2-b796-44bb-88fb-01b0f7d293f1 · outbound

This paper cites The Llama 3 Herd of Models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The Llama 3 Herd of Models

Reference 20

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no resolver link, observed 2026-08-06T16:24:34.136790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.136790Z digest=sha256:84cbad46f4b877364a83b1b9b51d85d72e818c59a3d61ef89414421140c3f58c

Observation 7aceba7e-1f5c-48b0-8235-d85826d128ee · outbound

This paper cites Qwen2.5 Technical Report.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Qwen2.5 Technical Report

Reference 21

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no resolver link, observed 2026-08-06T16:24:34.142284Z

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source=pdf_text observed=2026-08-06T16:24:34.142284Z digest=sha256:67aa924f40dd2004b71ce5b0508dcdcab6882e7a0372ec55afd54f85a0355f4e

Observation b747ca4e-a45e-4708-92f6-8d6a93cf0518 · outbound

This paper cites INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Reference 22

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source=pdf_text observed=2026-08-06T16:24:34.147007Z digest=sha256:d157da4364d26ea08716a011d77b53c4c7f82e8d51321f93f250a8fad158e8cc

Observation 5ad941f5-db1f-440e-965e-bae005f052ef · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Measuring Massive Multitask Language Understanding

Reference 23

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source=pdf_text observed=2026-08-06T16:24:34.153895Z digest=sha256:355d6cbbc5bd19eab8c0a95487bc7a765b27fb7441def5b1b95ceeaa176aa6d5

Observation ec1afe87-1892-48c4-ba46-716c72eff550 · outbound

This paper cites XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

Reference 24

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no resolver link, observed 2026-08-06T16:24:34.159897Z

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source=pdf_text observed=2026-08-06T16:24:34.159897Z digest=sha256:0d62ef8f66cb5b409c60b5fc297448765e6220e660f8e748ca2cfc134a41c2e0

Observation 83e1d029-7119-4064-acaa-3620e941649b · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Crosslingual Generalization through Multitask Finetuning

Reference 25

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no resolver link, observed 2026-08-06T16:24:34.168220Z

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source=pdf_text observed=2026-08-06T16:24:34.168220Z digest=sha256:148c33e0e3caeeaa0702f4cb7630aada20d0a57f89e3146e8b5e4f912db61927

Observation b1da2ef0-c55a-4157-b7c6-53ecc76b5bcf · outbound

This paper cites Few-shot learning with multilingual generative language models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Few-shot learning with multilingual generative language models

Reference 26

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raw_fallback, observed 2026-08-06T16:24:35.489133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.176293Z digest=sha256:bd814eabb89880ec476d0e8e12c274dffd1929205cb7cb8b658e9f445056bde0

Observation 99cccec6-333d-4bf8-be2b-82235875c6a7 · outbound

This paper cites PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.181091Z digest=sha256:9de013c18bbb4eb542e8acb82c96a11f9757c8f020f38a265957c2d56c17fe41

Observation 86af5eb8-f592-45ec-95b6-4b92c186566e · outbound

This paper cites The flores-101 evaluation benchmark for low-resource and multilingual machine translation.Transactionsof the Association for Computational Linguistics, 10:522–538, 2022.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The flores-101 evaluation benchmark for low-resource and multilingual machine translation.Transactionsof the Association for Computational Linguistics, 10:522–538, 2022

Reference 28

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raw_fallback, observed 2026-08-06T16:24:35.473354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.185898Z digest=sha256:d0bd07382380fc3a9f3a49ebdb7939b4904c1da79e00db5f74cf1d42b062b16b

Observation 05f842ac-fb1c-4dfe-9e27-5c641721c015 · outbound

This paper cites G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation

Reference 29

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:24:34.192096Z digest=sha256:2fef85dec3ea9dfe193a3ce12461e607f2c19bda1308461beff8b061d01c4741

Observation 2895c2e0-9ed7-4c1f-a711-3be3361b7e5f · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 30

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no resolver link, observed 2026-08-06T16:24:34.196609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.196609Z digest=sha256:3589d7d39badc3df7fb54ce6e2e32b70dd88c65750df807333fff14c6a47b501

Observation 4ee12a97-29c0-444b-ab21-35e55409b690 · outbound

This paper cites DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization

Reference 31

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source=pdf_text observed=2026-08-06T16:24:34.202191Z digest=sha256:d88ca22c347d8d6ed1673c9f294707c825852ced89f9220a8d92f3381dc3eb08

Observation 51beec6a-9310-4c93-a65e-38792c69b326 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Bleu: a method for automatic evaluation of machine translation

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.207980Z digest=sha256:169ec17ddb5ee061e47cbd52a6684e43b0289e7cda65b2ac888ec4164ad39c40

Observation c91c3657-5559-414a-ba7d-72890de962dd · outbound

This paper cites Bleurt: Learning robust metrics for text generation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Bleurt: Learning robust metrics for text generation

Reference 33

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raw_fallback, observed 2026-08-06T16:24:35.445452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.212452Z digest=sha256:40e021702a556aa729cd0a50df0e709d4c68ee2fba76330348117242f328496c

Observation 236b1371-c44b-475e-aab5-c821f328063b · outbound

This paper cites xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.230017Z digest=sha256:2aa7cefc641aab6a55a647472406dd7003761674ebbad16342bcd92fed86ca95

Observation 2ef37612-dd7d-48f4-89a8-87972678e5e2 · outbound

This paper cites Comet: A neural framework for mt evaluation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Comet: A neural framework for mt evaluation

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.427357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.235313Z digest=sha256:8dd6fbf9f96c38b07816d05e50db5c8e1a86d051bb0aefe867e189cbf89dc396

Observation b261e471-c88f-46fd-b8b0-fcd4b7852ed4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Proximal Policy Optimization Algorithms

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.244358Z digest=sha256:0f56d283215e23211d24315f331537f176d8e7bfa1ba6e96a2d8c94930e3de32

Observation 0edbdf0d-9aef-4412-9520-632955bd5454 · outbound

This paper cites LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages

Reference 38

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source=pdf_text observed=2026-08-06T16:24:34.250142Z digest=sha256:8337c8b06047d5ce709163649973d59081c1a0ce0906b2b1cb47d0f26f3519a7

Observation e16f9b09-3a51-4480-858b-7b63cbddd8ce · outbound

This paper cites Internlm2 technical report, 2024.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Internlm2 technical report, 2024

Reference 39

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source=pdf_text observed=2026-08-06T16:24:34.255152Z digest=sha256:bad7bba19d383c500a9e8315c4b3c68df492ee86f5f46746837d3eb88794f769

Observation e07a82a2-7517-46ca-af44-3d06e35550e7 · outbound

This paper cites Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier

Reference 40

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source=pdf_text observed=2026-08-06T16:24:34.265350Z digest=sha256:efaaa014b57235c2514c004a22cf4afb49918880b0bab49385e5b6436225cdc3

Observation 05c240f6-a843-4876-9695-0a4188f6a1ac · outbound

This paper cites Mistral large.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mistral large

Reference 41

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raw_fallback, observed 2026-08-06T16:24:35.391956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.274633Z digest=sha256:c1e2607ad67b356cb5e9e842ce0ccc174823f1805c613d3b6b9fb013f50f70e1

Observation 99c2425e-a972-4c95-8145-63f782a4575a · outbound

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

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 42

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source=pdf_text observed=2026-08-06T16:24:34.280384Z digest=sha256:19a3952a0dd64bbbea138e10799d5f159269434a98f799cb460cbf9d8cd38517

Observation 9e1c34a7-bfa2-42b9-b625-474395fcef34 · outbound

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

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 43

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source=pdf_text observed=2026-08-06T16:24:34.286784Z digest=sha256:925e97506aa554709e42cd0b3cc6d6b5bdfa43d554e9fb95a4aa4c7c236054a5

Observation 25cf3c8d-d2fc-454d-ae1f-327c304adcf7 · outbound

This paper cites Language tags matter for zero-shot neural machine translation.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Language tags matter for zero-shot neural machine translation

Reference 44

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raw_fallback, observed 2026-08-06T16:24:35.372231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.292011Z digest=sha256:6cf02904d053a38b1a06016526fca871630861ae32627094b465f54817ea65fa

Observation db2472f4-43a7-40fc-bb8a-a3e025416d45 · outbound

This paper cites Large Language Models as Agents in Two-Player Games.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Large Language Models as Agents in Two-Player Games

Reference 45

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source=pdf_text observed=2026-08-06T16:24:34.297255Z digest=sha256:d97c542c1fc802cf3a8e8cbbc3f36d3d0462961f838357b0e1b763fc93252fdb

Observation b194c393-c2da-4a18-b854-f04a340d8096 · outbound

This paper cites A paradigm shift in machine translation: Boosting translation performance of large language models, 2023.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A paradigm shift in machine translation: Boosting translation performance of large language models, 2023

Reference 46

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raw_fallback, observed 2026-08-06T16:24:35.352227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.309065Z digest=sha256:9a2f63ccab2066bc2e4d7ea1f25ae6c8393712b76490f2b78844a97fad99cb23

Observation 166e70cd-f8c1-4139-be1c-1c599acbe985 · outbound

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

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters How do Large Language Models Handle Multilingualism?

Reference 47

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source=pdf_text observed=2026-08-06T16:24:34.321633Z digest=sha256:67fdbbaaa763806527b2ad1b4fdb801f54f7fc28839bca8b1f59544e5e0b15ef

Observation 97afa135-9f2c-4166-9e19-51be84aca91f · outbound

This paper cites Opencompass: A universal evaluation platform for foundation models.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Opencompass: A universal evaluation platform for foundation models

Reference 48

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source=pdf_text observed=2026-08-06T16:24:34.328504Z digest=sha256:c635dc97495da6519e21b6cb56ac6e3f879765b49163a16c9397e1937b56b584

Observation 4523a555-4098-434a-8c9e-8416ef4d8ab4 · outbound

This paper cites Sailer: structure-aware pre-trained language model for legal case retrieval.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Sailer: structure-aware pre-trained language model for legal case retrieval

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.314562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.333122Z digest=sha256:c2e96d5da92f81a96f271e6970582beac0809bf2983b65f47f38baafd1178290

Observation dfea9073-7326-4570-ae80-2efc354f6e7c · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 50

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no resolver link, observed 2026-08-06T16:24:34.340200Z

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source=pdf_text observed=2026-08-06T16:24:34.340200Z digest=sha256:b0bdd3d817bb37c2c28fd85e33cf6f77db4d4debcabf670a25df9028dce16ca7

Observation d7b3c034-e90b-4d9c-9463-40190dbfa491 · outbound

This paper cites A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Reference 51

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source=pdf_text observed=2026-08-06T16:24:34.345397Z digest=sha256:41650e2cb99e5c9746e9745a8005aa198e30a1a67e9dcad6cff322cbc854827f

Observation 29a22f9f-4215-4955-b3ad-d071b378992f · outbound

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

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

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source=pdf_text observed=2026-08-06T16:24:34.353620Z digest=sha256:a8dcf4161ec30aae350b43afa7a4595fa51ae2bb18fe3a8403e3e15467c0eeab

Observation cf910d0d-8a54-4eee-9b91-8d638cddd9fd · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 53

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source=pdf_text observed=2026-08-06T16:24:34.359157Z digest=sha256:7ab349cb11df355874a493a785fcc92625d75961c5320c3e2dc0b85f96f5c7c1

Observation 4bcbadc6-223d-4922-a1af-7ad366532686 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Code Llama: Open Foundation Models for Code

Reference 54

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source=pdf_text observed=2026-08-06T16:24:34.370619Z digest=sha256:3e30be764f1208ead2e6a2b061d1f7f40505d90d24d429536ff631937baeb692

Observation 27868fad-7939-4b79-bf1b-0d228f27a00f · outbound

This paper cites StarCoder: may the source be with you!.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters StarCoder: may the source be with you!

Reference 55

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.379187Z digest=sha256:9116843095333e57cdbeac4b371f053eea5ed7b5da0cf17bc261efb5a188f1fa

Observation 62c62746-29d9-462e-b85f-a52e0e9c5269 · outbound

This paper cites Wizardcoder: Empowering code large language models with evol-instruct.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Wizardcoder: Empowering code large language models with evol-instruct

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-06T16:24:35.296807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.383441Z digest=sha256:5698c1f4e902c9d9d0dfff65125d63a71b2c696819dd2cccf83e306d7b69dca5

Observation 4956b726-19a5-4b35-b639-31310c1b1aa6 · outbound

This paper cites Mammoth: Building math generalist models through hybrid instruction tuning.arXiv e-prints, pages arXiv–2309, 2023.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Mammoth: Building math generalist models through hybrid instruction tuning.arXiv e-prints, pages arXiv–2309, 2023

Reference 57

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raw_fallback, observed 2026-08-06T16:24:35.278735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T16:24:34.391279Z digest=sha256:9dc89e1e7d2be1ed97024f52b51e928ba3f6c3d497dfe608c9e176dde6f9bb51

Observation 7aefb3ab-c5f4-45d2-a6dc-2aaa1ed5c352 · outbound

This paper cites Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation, 2024.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Contrastive preference optimization: Pushing the boundaries of llm performance in machine translation, 2024

Reference 58

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source=pdf_text observed=2026-08-06T16:24:34.397276Z digest=sha256:d3d551dbbba1a5b5fb72e494ca0e4d87bfcbaa8242c8b1baa0bdc1d1ead7612e

Observation 5b799912-2e20-46f9-a0c9-07dbcbc39db1 · outbound

This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Reference 59

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source=pdf_text observed=2026-08-06T16:24:34.401553Z digest=sha256:3729efae42a2a817d517acd4192a3e0871d176b3cc9232d83674de6dd2419128

Observation 71b39bb0-b4ec-4cf2-a7ed-0321a0cd4b62 · outbound

This paper cites an unresolved cited work.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-06T16:24:34.405868Z digest=sha256:2ecabb7dd0081e7c0ce2e364570bd2c6919d5b79254dc734ed53ff00c338319e

Observation 2a447c0d-aaf1-40dd-b757-2824174140d6 · outbound

This paper cites Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data

Reference 61

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source=pdf_text observed=2026-08-06T16:24:34.410391Z digest=sha256:107c0180a5289fa780f66f524527a21146344528ef21e8a5f37779af5b9b4ad4

Observation 3a043ad8-519e-4e22-9927-f9c227b3ea32 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 62

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source=pdf_text observed=2026-08-06T16:24:34.414805Z digest=sha256:2bffce4e6a463b0d0766f29113430baa648ad69f698886037e7fcbd0060fdb37

Observation acfb32e1-6907-4ee2-b50d-56e78db8f149 · outbound

This paper cites Neural machine translation of rare words with subword units.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters Neural machine translation of rare words with subword units

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.420408Z digest=sha256:43882c2d5d107d6eb81a864b835f6ccbb5992ee6e89e1cad594c86a96de55d6c

Observation 078d17ff-5ecc-48e1-8f52-793a87459b26 · outbound

This paper cites DeepSeek-V3 Technical Report.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters DeepSeek-V3 Technical Report

Reference 64

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source=pdf_text observed=2026-08-06T16:24:34.425448Z digest=sha256:292430f981ec76b64be5ce9bfb153ef47438acd2da26f8525d3d35dd15d90ec9

Pith citing papers

Observation 6a75cc5d-7731-4cc6-bb00-158d1eb01198 · inbound

Observation of momentum dependent charge density wave gap in EuTe4 cites this paper.

Observation of momentum dependent charge density wave gap in EuTe4 Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 9

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source=pdf_text observed=2026-08-05T22:45:13.954330Z digest=sha256:8911544e1c88feefea6be4edc31bd5113a82ba6d44cb59d6c753ccb1777bcf0d

Observation d6ba7047-da2a-459e-9312-cb3b7ff37154 · inbound

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models cites this paper.

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 9

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arxiv_id, observed 2026-05-11T17:50:08.440853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T17:50:08.399160Z digest=sha256:af374a99722a804d9ea3ff8d232202cd190d519d9b4cf1ab9c99d70c6c3a5c90

Observation 8c86f869-dbdb-4793-b0e4-60793952b71e · inbound

Hunyuan-MT Technical Report cites this paper.

Hunyuan-MT Technical Report Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:33:30.447786Z digest=sha256:63cc8e115ad6ed592f2377e71a6e40af235938548d77f5aa1f3ca18315acced1

Observation d66d3d52-792e-427d-90c8-e5a3ff8504a7 · inbound

Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models cites this paper.

Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 10

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no resolver link, observed 2026-08-03T00:02:13.671605Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:02:13.671605Z digest=sha256:ccf20f042a903a2efc9f1d4ec39f4d305cf702d4389cc3920bc368e377b8b06a

Observation 68032727-76d8-4bbf-8664-88245f33ad57 · inbound

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

Optimizing Korean-Centric LLMs via Token Pruning Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 2

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metadata mismatch
arxiv_id, observed 2026-05-10T08:02:25.055551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T07:59:57.505776Z digest=sha256:ba6422ed1651e9b0184438c708ffaec3a24aa6c1c23aa7ae5ee242589d6aff71

Observation d0c93db7-7377-45b2-8bbe-8eb248196034 · inbound

Two-Stage Multi-Modal Fusion with Adaptive Alignment for Action Quality Assessment cites this paper.

Two-Stage Multi-Modal Fusion with Adaptive Alignment for Action Quality Assessment Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 228

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metadata mismatch
local_arxiv, observed 2026-07-09T11:16:11.483783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-09T11:08:15.865799Z digest=sha256:96c8cf6c2337d007917c7eb55794f6756a9c5ff54d0c3d2d5c8727880b18fae6

Observation 09e4581a-402c-4650-8d22-1f7967c0523e · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 10

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no resolver link, observed 2026-08-03T07:51:19.720959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T07:51:19.720959Z digest=sha256:e6dfaa8e6fa9a4a4bcdd735c3eff6117a31147a03de8a4f1bc1a6976e6f3bd7d

Observation b8a5f8b5-3c7d-4a75-9fbd-40c8d0cddd2e · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 10

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no resolver link, observed 2026-08-05T04:25:21.926406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:25:21.926406Z digest=sha256:9820fccfffd15bd0dbeb5fce1cccf41c6842d1a0abf22060b81f907fdb96f09c

Observation b8634996-618d-471a-9728-f59fff4e6c73 · inbound

Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness cites this paper.

Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 7

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no resolver link, observed 2026-08-11T11:14:26.121634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:14:26.121634Z digest=sha256:4793a0eeb1083d9bd9408117a79b61d2f917808de581222967cab66c09b0c2e7

Observation f22ff190-9568-48c0-9e2b-d211f83a3afe · inbound

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation cites this paper.

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

Reference 2025

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no resolver link, observed 2026-08-12T16:54:13.331815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:54:13.331815Z digest=sha256:918363cfb8e47c3b73d5968ac2c852710a5d4728249e1f34b1cbe4e6faceeeca

Observation 1e7fe15a-b5a7-4543-beab-138b39c7fbed · inbound

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation cites this paper.

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

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