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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 9 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 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:14:26.121634Z

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.022478Z digest=sha256:de76dc4ca85e9051c4f5caeeeb76bd8280638aaab8f94f4d8ce83df1b44ecc97

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=sha256:7874b89257b4a1952bd8e14041deefd1a8a0da06702891dfb6c9af225aa85117

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:cb49ca4c27d9e0a097372d10a9e01363380957784695b1276372c6092d559f6a

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:dfccf3e1f8703d099e80ba3b2201c2f9f28853cb185e9a4a0ac86380cba3233d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.053828Z digest=sha256:1b3b1140fe62ae3a5026387f242acbeca3422f9f715d3739c986c398ecb4a637

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.058868Z digest=sha256:691b34dc99dbfceb09cb914920014b7130527d7ba501d6bf81d6e255000fbdd9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.064302Z digest=sha256:1ce68492020aa54c996e9e93c518e9fb19e3e53a5e2c04f77938cdc7323734cc

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.068604Z digest=sha256:35ac136c2136aa105901013e950f90d5757c89b97685ed4376302d6f62ba4661

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.073278Z digest=sha256:967e85f2059f819a00bb8e40227ee4dfd236e7b1acb491c9c51d53abbe1de0ac

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.078763Z digest=sha256:68d84b383b6ea1896ad43d1f24a7979f6ae8fc7ca5a02f4ca7a4ca7305695e4a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.083403Z digest=sha256:5cda5d099c4b8b319ff3ccb942e187faae2880bae0c60c4c4fa6ba2699f9ff9a

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:e07ac6f3ce470f02c0736db9bd3df5e721af4b15af6b013ce81dfe0af88ff7e0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.093021Z digest=sha256:e5fbfac7aaabbb077d6cb2f6fc650549b9e1ee85ecefd96cc112ea07ace0acda

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=sha256:539b359e1be9761747922fc9ff63700a046c810e9a2ef78e2e857421d89e51cd

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.101782Z digest=sha256:1c1f80631b04d03476a25898394b72c5c0afc0cae602443de6dc983bb475cdf7

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:f8cefa3d6ca7773291ebc69e107a368c785ae31cc046aafefda47b3efad7203f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.112464Z digest=sha256:ffae0ed4e837fb16fb6770fea5a4e9345da9958c499cd547880457694d0efc0f

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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verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.121002Z digest=sha256:ed1a9a4412086f04927c4a49efe07df8f82915a1c7c96e81d7a2ee14efecbe25

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:a6906b61747a1e8e255ebfc3654009da428b50f35a022249c27d2b52e45058fc

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:e085639a7ccb489d88bf3d7a84114be3ce6e44e470055f8a6a4f5e0b989ec3d8

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.142284Z digest=sha256:848c32e8f0b013bc092f4db42b68621654b357a507612ae14c6643fe28cebbc0

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=sha256:6cb0480a41a275cdb44a3b506a051c47e84607c73e514e95e28ef2386ea9ceed

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:a56abe9decec74817a11e89347ce37a9d08a8c4cbecee400bf256593f7db96f3

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=sha256:8289af966b278912f76a7c6135a3592459816214ac80e8d5105bd13c68cb5c55

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=sha256:1896585f0a8916581302f7bdfa5a27949996c6509322f0d6987250ff5e2f45f1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.176293Z digest=sha256:50b157bf95b8d21aee168b5d1b9db283d5a37d6e69efa49f63bc6560e4fa4540

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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no resolver link, observed 2026-08-06T16:24:34.181091Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.181091Z digest=sha256:e1da7e6573bc51e627f38575cbdfbaa0d1982e543bad7adc4d72ecde8a6b7dae

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.185898Z digest=sha256:afde47f3d698f82bdcdfbc9863ac313d1c4fe7dc0b26ad722ce0dbdd86d6a23a

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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no resolver link, observed 2026-08-06T16:24:34.192096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.192096Z digest=sha256:85a3c2a6e3c40a27128e8e3887abf7a0af514f34c7be325dbda709aee9247c32

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:c5b1af3a937c05c47a51eb329d2736deb9da48f670d79c663e9bc652ba27da39

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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no resolver link, observed 2026-08-06T16:24:34.202191Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.202191Z digest=sha256:3207a056033e340ce0419e9093ace6ae64e4ff20b8f3fd1db578ebfcba7bf6fa

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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no resolver link, observed 2026-08-06T16:24:34.207980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.207980Z digest=sha256:60b105acc018ed46105f3f52407d2d6944cff8e619fb9ac3b24814a9f1731221

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.212452Z digest=sha256:79a0cbbf5ab8cf221d7eb4f46d0a5eb21a85ec9c82c2e42b616990bd8d150d0b

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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source=pdf_text observed=2026-08-06T16:24:34.230017Z digest=sha256:ac34cb258fc311748c32ed70ba1cef359e3b3848ed42a97b85ed137e394cf14e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.235313Z digest=sha256:b551337392069c4cdd1062e24851dc4fe7ef6c81c41c8ba36ea04a87f63ca44e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.244358Z digest=sha256:786facbd54dfb12d3b43d25b566301b94a9c16c71abec6b936d07a5a5fcbe42c

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=sha256:776e6fa21dbeb7855be54e1d7656d77b41fd242eadfbdd3f333c16157c50cb38

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=sha256:306f74617a08034916932325e5ac66bc31ba1fcdc4642700027b85fea47368ef

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=sha256:5080f648368d6661e26549202013cf8df1bf22855eb47f813e71b0007d63006e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.274633Z digest=sha256:aee2a649b806d2fba90e857ad3d89b903fae89b6f3337ae7e3ce85924dc5ee07

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:f96816ef8e010122ddf5b82c2708ee5dbbe1ecfccae4ccab9eb19ba50f49dabb

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=sha256:4e85545ddefedabc41c828fae4e54352c3a59a52443cf20763923a417304e8b4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.292011Z digest=sha256:3431f5987fb1f5ea0b473fa1a86ce264cb7e984713b187a9ed5e3ed561a55c25

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=sha256:30e19ee3f052e5ba8890424a3bf1e61fa826df0451bab16d474f4758021e2523

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.309065Z digest=sha256:e21d5172fa013d0951d4c2b4d191cd5eb40b7dbfc0bcd07d136fc4ffd4fa9a0e

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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no resolver link, observed 2026-08-06T16:24:34.321633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.321633Z digest=sha256:520ababc7c5609c697157e23fb62c23ca621b1d9f5aa11bd6589428c4b8c1c73

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:c8f11b500a1db155dc15ddd93650e760f941ddd1b808006c084f92420b3f4835

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.333122Z digest=sha256:ff91664dc41bf2093d3bbe1ef86507eec3bbddf996f479791e752e9a60da0c52

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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source=pdf_text observed=2026-08-06T16:24:34.340200Z digest=sha256:5583c1580f6b7ffa5f65993d5e913293b9dff14c9041e91baf1bb1ec43a7ff08

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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no resolver link, observed 2026-08-06T16:24:34.345397Z

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source=pdf_text observed=2026-08-06T16:24:34.345397Z digest=sha256:3de137c2b439d0638436278e41ecd08d4d2c7d8086a314b64c3e3b0489bad894

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=sha256:78a33575a94fefd355def2772f741422b89e34c1af5fa0ce908cd02c407562a3

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:e269b2334dce66e76f43f0c4248afeff91ae2d0a24cbf14840bf704df8f0ba7c

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=sha256:7e44450172363f7075e5b574d61d320377533c2728d72713199cade6d5893143

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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no resolver link, observed 2026-08-06T16:24:34.379187Z

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source=pdf_text observed=2026-08-06T16:24:34.379187Z digest=sha256:1b5e92957e05266d8284063ea21b0b39c66e45177d5566729676ecebb08399ad

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.383441Z digest=sha256:c5b1257715883409f85015798ad3c1adb001cab12f33d1d4033fbf81eac5a543

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:24:34.391279Z digest=sha256:234335f72b8e22d899751e596e7faa669a34798c72ae0d1a273605d7d0abffd6

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:c4aa3ade903672602f7944591b81b0b8d5b1abb30e38da0b2cb2863c739efec6

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:d5c27d61df4da147f898308dc0de0a9d030bcc666c4ec76a6145974277340ba3

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:b0773f92c2aaf62ca46b8f9a1248f2f779b3e439e1281a443327dcdb913fc163

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:e8ef680a17dd12ecd79b36f09d5ea762d8695179aa859aa3983995759839e374

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=sha256:35627de96bc19e727e1c1d1ba051531016bcea323187fd62873b8ed14e9958f6

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.420408Z digest=sha256:771adb33b7c0232f5a977712de36b4db1ceb7ee2cdc95d02d26885d5548aced3

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=sha256:40dba49b2b79f9749bf7334768468cd18dbeb150cbde06475efc06b6abfb463a

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=sha256:9cccc265bae4b878dc07a403c634219f0b935222630a1064fc7e2e765c396041

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T17:50:08.399160Z digest=sha256:768c5d29a3a065330b4ca4e00c11992b3fa992bc80b1b3f7f3252b9c854498cc

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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source=arxiv_source observed=2026-08-05T05:33:30.447786Z digest=sha256:1c3245fa6c82f2887fe15a221dceb87fd8e799abdd6687788ecf595a25cb5eb0

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=sha256:3dced58bea31a8b6dd6d865ee391bdc754ff0ba7fb98c801752f3b3437f4549e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T07:59:57.505776Z digest=sha256:584298574c340be8ab37edf4ecbb42dddd45791fced1d0a9d01c5e37d974299b

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-07-09T11:08:15.865799Z digest=sha256:3c469f7d168dce0904fb0eedaaf6df5691e0aff070f5d38b7165a51b3139d29d

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=sha256:54b8ba658633ce9d6e6f6b8302641dbd79d83c8a31d2e13203d1c26f29f2f811

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:25:21.926406Z digest=sha256:a4989fb885fca04434bb757ef35a70046833903dce37c9255aff2e4be4c7547f

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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source=pdf_text observed=2026-08-11T11:14:26.121634Z digest=sha256:a2df3df6bc6a397e035c09786b083ff678c979643d4d3e38405a9f81dff8062d