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Paper Citation Record · LEDGER

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

As of 12 August 2026, this Paper Citation Record lists 100 of 128 outbound references and 100 inbound Pith citation observations for arXiv:2401.02954.

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

pith.paper-citation-record.v1
2401.02954 v1

Coverage vector

measured 100 of 128 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T06:08:05.550346Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 100 of 307 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:29:16.215258Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 128 outbound references displayed

  • verified exact20
  • verified fuzzy42
  • unresolved18
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch19

External citation measurements

89
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9f931ac9-6286-4490-912b-64edc8783e0b · outbound

This paper cites Introducing Claude.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Introducing Claude

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.518062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:fb018ddc5fe744d17441705da4aae859a932e38e306561df3c638bd75e31cc3c

Observation bcbff7f1-c5f9-40bf-8e7a-87e7890b3589 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.507936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:99e37c32b3a0ca28597ee6250c4fc143ecdd4975f526acd27d0ae53ebe14510d

Observation b6796b5b-97de-47ea-9eff-ceb1d1ecc1fb · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Evaluating Large Language Models Trained on Code

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:08:05.947264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:40fafc45985fe6a8b2f5bf31d92b974a3a911b2f409774bfbd5ebcd522eec4a0

Observation 749169e1-a8ee-4802-9970-d106887dccd0 · outbound

This paper cites Computer.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Computer

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.475158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:d9613ac2b06050fcae51200e4a3b7d0d8179c547aeaf1413d3a83bcfa3a46c24

Observation 915eb913-1f66-4457-8c9f-11bae6c030f6 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.432804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:ab6ca55487a37f5a68d33ce35193c5208739efdf610aefab7246baca5d4bf22a

Observation cc3d951b-6708-4245-a6e4-e34306641c15 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.422467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:fd2d66b5d6bb271b34fbf63c07b087e7bc680809503899d38e746b125371ee24

Observation 1abf11c8-f96e-49a2-b483-5dd0290037ec · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.586654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:fb6fa0e0984c63b332972b240f3891f2b6f72f64acd575df9913588a2b624b95

Observation e7df4b36-9288-4620-9540-acb634080331 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:08:05.961151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:237bf4274431c5e4d21f6d0867f8981bb54990a51cbaac78761c8c680f79798a

Observation 46101e27-4307-4fb3-a403-ab9b6911003f · outbound

This paper cites An important next step on our AI journey.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism An important next step on our AI journey

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.505300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:db0bec7ab14517507eedb852e2f901bc86aae3808d84c19073f8531a88033e05

Observation c36391bc-e6b5-485a-89d8-162e4f6e810b · outbound

This paper cites Hai-llm: 高效且轻量的大模型训练工具.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Hai-llm: 高效且轻量的大模型训练工具

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.487797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:5a1efa5e98d350d773e672bda9e0b4bb2b47f7fe5fb8a9d6297f342f52912980

Observation bf2c4c5b-6ea0-419f-86df-4e3f1a641838 · outbound

This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:08:05.975114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:323d53929ca2eb23da4672d2020d0e7f177f8dacc5bd42dccecc91442a26534a

Observation b42dd667-5eff-4e60-abda-fd14bba0736a · outbound

This paper cites Tokenizers : Fast state-of-the-art tokenizers optimized for research and production.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Tokenizers : Fast state-of-the-art tokenizers optimized for research and production

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.469236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:4b033bc2900b133e4fd7ede05ee1a5d9ebe790da6c96aba4bcd0a5de64a20da0

Observation 9ff964dd-cfff-4929-bd9e-4b8bc8b5faef · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.461855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a626880127f53fcecd05994ca8cce38c92d5e0183e62d0b8f68a31e386fd6f88

Observation 9bf30e2e-1766-4a6b-848c-886e8084ba4c · outbound

This paper cites Ivison, Y.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Ivison, Y

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.446725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:66730929f226f2cc075353959425b5dc2af0754daf8ca952b9363ae49bbe7f19

Observation 552e357f-34b2-4e11-9052-312b76a4c7ff · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.425761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:ee883a55e3ddd9d6737183ac55b8e61328c90b94258f0369a49366accef1df1f

Observation 7a19ee70-62da-4fbe-800e-8f1704112589 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.411227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:1e04a95cfb7ef9cae506eafc4d02497a6126f96e0cd119516cacb19fe8051282

Observation 3a0705e6-2a3f-4270-8154-298cef5eb782 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism CMMLU: Measuring massive multitask language understanding in Chinese

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:01:11.049549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:24405c461e48941ed91c2b9c44b4f1ca3d115d891390469ebb3bf16c0172044b

Observation bb7c1184-cf62-48e6-bf26-ecd5e51180be · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.402771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:67583370e317be3ae8f522ef88dfe80b51106282f415b99d78885ca894556b99

Observation 8557016b-b060-4e00-a74a-4a1f2006c804 · outbound

This paper cites Mihaylov, P.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Mihaylov, P

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.399232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a010e8592ce3a9d10d8698f3a674c46d8038ca82eef2985a57e6e622d510560b

Observation 81aa4db9-e015-4e8e-913b-45c63d7195ce · outbound

This paper cites Narayanan, M.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Narayanan, M

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.392132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:f9e27551ded1577e37837ec7cb17cc718df768d09fdfca9776df3770a731beeb

Observation 258c6c75-fa2c-4595-999d-f78dc20716ef · outbound

This paper cites Introducing ChatGPT.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Introducing ChatGPT

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.361200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b953e4fbb11c0700dd56701c79fc6ae5b20fcc092267dcd872f20a2239daf524

Observation 4e31cc8f-b29f-4465-9cdb-c071fbe1e3a9 · outbound

This paper cites GPT-4 Technical Report.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism GPT-4 Technical Report

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:08:06.001350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:0b63d4e03e0ac07f2775948339209d8ab78e727792a189ce2845945a749cc83c

Observation 275258bb-3e85-45f6-84fa-fe5f46665349 · outbound

This paper cites Ouyang, J.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Ouyang, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.647160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:be4c8674a97b965ce69469244e34d7f40ef20931760243559def61af3d966b38

Observation 51411751-7603-4fde-a9be-589be7a42ccc · outbound

This paper cites Radford, J.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Radford, J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.640149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:65d18b63e904bd65e8fbb2e38d709ca7a8f4aeace6b0f96d34e951b9c5079c00

Observation 82e0872a-a4d8-4792-9aa4-6541ca52cbec · outbound

This paper cites Rafailov, A.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Rafailov, A

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.636330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:d6649cc6f741d7784b717ab831ff84e2c951fc29d71b49bcfd46e10fe0872265

Observation dbe59c23-e518-4024-bea1-495a6b54aa7c · outbound

This paper cites Rajbhandari, J.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Rajbhandari, J

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.624429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:83fffb4c696d5c25cd023a3b72626f37f944474336d1f10bf58e8d836a856022

Observation 399d0827-21db-44b3-a58a-1501200afe7f · outbound

This paper cites Sakaguchi, R.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Sakaguchi, R

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.604966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:ae7f30ad6f2f90c4007de01934b6d63b55ed6fc0810daa65de4d81f4a8b984b2

Observation 9c37ea51-a4e6-462f-8942-73d6ba65fb5e · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.600906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:08317d3085e6d621bb4db4b0c083d6a7f7226564bb5d0356e638dbb78c378d0e

Observation 066264c4-45e6-4215-9d11-391a6df13e99 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.535018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a636aaf63d1f711b6a7763521e038f9387445b5168b7fec3283c475929b708a5

Observation 4ca472b0-8db6-4476-b734-6fd8462e9da5 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.538086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:879134c202bf8a9b9c3d350a8319b7aa7ae87a11334e026e6991cdabe1933255

Observation 18519517-a62f-43cb-a75e-0de4d34d7b3a · outbound

This paper cites Vaswani, N.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Vaswani, N

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.547495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b836085b441513d5a115fcabca404c808561f478f90e862ba37775ddaf6d4d82

Observation d72b901d-50b2-4f31-9ace-d141b9f9f3e0 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.553468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:e15c2c3156993483b069abd71b14903c065279b494e0fa01db441c4071947730

Observation 0b556bbb-57a5-4b4f-969e-a6e3d27802ee · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.557124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:8325593874086fc7048a9474098f81ae6d29a875e67c2c9462c2df20e406e6cc

Observation 3011cff1-b225-4f73-8481-aa7e7c022736 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.560448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:011210d116b3f3f09aba3426cf121cb1c7d1dc103d6f0093755da75a01f6950f

Observation 474f0d61-7564-470d-aa19-26e64c116475 · outbound

This paper cites Zhang and R.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Zhang and R

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.566434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b80e94dc2f1a0609c6f8f69fa565a138166ed9a0bc278a10142d88e420fc417f

Observation a30b7715-f243-43e8-8da1-87b087d3f860 · outbound

This paper cites Zhang, L.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Zhang, L

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.569943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:bc4ed791bda9825a1cfc02c906cb248d2a8b7da55570bbdaaf42bc1e376b5fa7

Observation e63dafaa-7e50-403f-b7c7-85d9c98f068d · outbound

This paper cites Zheng, W.-L.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Zheng, W.-L

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.573443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:4e5aaceb1efabce63fd0b5cb592cc76b739e1de9366dfaddeb9b7f2a1a43c681

Observation 299947ec-51d9-4b0e-abae-844dca9f94b4 · outbound

This paper cites The Eleventh International Conference on Learning Representations.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism The Eleventh International Conference on Learning Representations

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.579711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:73b41205666fffd61bb5c854894582d366f129e5238837357b6ad055e298139f

Observation bbfa50cf-ba5e-4181-82c1-030374375a39 · outbound

This paper cites Neurocomputing , volume=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Neurocomputing , volume=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.583462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:fd3dd94d429ea9fec52a52f81ed0cc55032fa4d9aa261b042b27439e2db6c6ed

Observation 2ea71c80-73bb-4916-8c7d-019fb6c8c091 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:53:59.644169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:629d21227e657a6db5797ff68f274f37659acc0a600f068e5a795bc31f82cbcb

Observation 08a5d303-4b87-4375-b251-5ddfe1b1dab8 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T04:00:08.752459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:f95d8873506dbfb3a171b78a2fcb1b0b533c48f6b71b18405aac29808930fc05

Observation 8ac8ba37-b354-4e35-b36a-62927676c330 · outbound

This paper cites ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:19:36.299641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:320a9740c701860fe3309dd9211f804d9cc356c6e859976cd7cbb4e11d860409

Observation 48d4cca6-56f0-4040-a846-b8059cc941f3 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-12T16:48:28.215201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:7cb95e43457de95221aec484d2441c80d7b7446fedcf61006376005769d4e905

Observation 736ecf87-a4de-4594-a658-8226b4642a24 · outbound

This paper cites International Conference on Machine Learning.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism International Conference on Machine Learning

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.609499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:8ed30f6e2a1394a1319c0449f99e00c801dbb225517e1c24d1f9527e44d81d0e

Observation ff33512c-1a83-4145-8dd6-adf9968b5332 · outbound

This paper cites Chi and Quoc V.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Chi and Quoc V

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.617675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:45a0baff4e8bc85ac861014c707b1d09176cedfdf9b46458074a1650e18ce97b

Observation 40fa4512-b705-4718-8c0b-d305737a2707 · outbound

This paper cites Mishra, M.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Mishra, M

Reference 85

Resolution
metadata mismatch
doi, observed 2026-05-11T06:08:05.779241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:1d6419dcad1310dd59986950b1c6e670a88e899af965080e9c2cc2deec8ae715

Observation af27f458-5289-43d2-a6c4-4e6639489ef6 · outbound

This paper cites MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:46:39.773471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:83b566b59cfd476fc5746be82af05f5fbe3dfbe9864aa0ace4c9a66ae5925ef6

Observation da2bce1b-20cd-426d-a3ee-32d2e51863b2 · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 87

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T10:07:53.977132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:d461dfd6b0d218edbc52875f7293fcfbe113ab8080dd3e15b054751298cd036c

Observation 189f024f-c2cd-4afb-9d01-9621eea33497 · outbound

This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension

Reference 88

Resolution
verified exact
doi, observed 2026-05-11T06:08:05.746357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:cf50156f6cadc1ee04023633c16cb1161ccaab3b994778c74fe92304ed39a2b4

Observation 6e7c012b-5ed4-4ae3-8e28-29e0fcc07418 · outbound

This paper cites 2020 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2020 , eprint=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.651051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:1f669046958a9a1465cec9640818dd0dd1067d70bd2582bfddc5b681a78a0bd5

Observation 97d8f075-a1ed-4270-8ca3-38bca8e4e886 · outbound

This paper cites OpenAI blog , volume=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism OpenAI blog , volume=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.654205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:19d704e0a4c133d1140aa0dc2025fb85fe7b57223b2aca8790daf786f81e1c88

Observation 5c478b7e-2e26-4bd3-aac5-5cda7eb5a879 · outbound

This paper cites Introducing.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Introducing

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.658341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:47b5b5c80a61a9d516cdd1dfad4cc769e0a502882a0fede78b5a65642a0f7452

Observation f46c2fe2-8e23-4104-9eb3-07cf09745812 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-11T06:08:06.686364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b31e05216781610f362aef7b15df1252b50130973e7014479c6a997519944488

Observation 6a126239-b469-4f5a-b9d3-f1d1d07c6928 · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 93

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:08:06.052350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:6963eafc15eb0a9c114c49e41be1d5e761ec6ccea6bdcc19e900021beaff3606

Observation 10af96c5-52be-42f0-adea-cfc2b7dc85d2 · outbound

This paper cites Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , pages=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , pages=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.713231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a24092bd18cf335498e85f31278590c5bedddd5d6de09fee2104e96637538605

Observation 17102da6-7dac-4c91-918f-318ee8298a8f · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Proceedings of Machine Learning and Systems , volume=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.731349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:9118b199296d115f3b304fcaa586511739d62fbeeae0384851e8e6b2812682bb

Observation 8d27f968-54bd-4c32-883d-093e87f47b9d · outbound

This paper cites and Ermon, Stefano and Rudra, Atri and R.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism and Ermon, Stefano and Rudra, Atri and R

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.740354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:98af90454beece0b13a10c7cb46d92486394a0913ab185ab8515777b1bae60c3

Observation d1750ca9-3b37-4acc-978c-0403fa73cb07 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 97

Resolution
parse uncertain
raw_fallback, observed 2026-05-11T06:08:06.757425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:8bbdabb6ec659681774f92c4eb39819ce25f1c80b0a88812a285b709da4618f3

Observation 51e85a78-566b-4eaf-a638-0390852e634b · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.320341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:1ffc674aa13309453ab1d27be54fbc0fee202bc04053f4f0637931b1d795120d

Observation 2a0ea516-927a-469a-a214-45d2b7bf41b9 · outbound

This paper cites Advances in neural information processing systems , volume=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Advances in neural information processing systems , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.327503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:4d60ab5c1310b31081c189e018c41aac1361a0c73023e8fdf8aef2d82e2e1cd1

Observation 82788346-1389-47fb-8e3b-48eadc71df57 · outbound

This paper cites SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.331458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:570a526f3e326585471f551514e63825173c450099f80e75f73bbc9791caed04

Observation aa8940d8-6399-4124-96ce-3b91c86d10fa · outbound

This paper cites 2021 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2021 , eprint=

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.336346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:f98e7ca855dafee2f71e14e9ccfb42b16a39fd6cc1f9d2fb36e82cd1b3ffdbc8

Observation b23cdad5-6d56-44c4-9634-374d9909249f · outbound

This paper cites 2018 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2018 , eprint=

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.340596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:413ead653c4e802363aa2bd8a907c2feda0d429815b9af00b09534a6d68c7586

Observation fcad05e5-74c3-4850-a70a-a732a1bac720 · outbound

This paper cites Introducing.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Introducing

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.344594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:504b5832734bd5e144b3d8755f5ddec3fc544efcec072f38c2095463f72face4

Observation 2ada3530-e0c8-467f-abad-0f230e24c3bd · outbound

This paper cites An important next step on our.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism An important next step on our

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.351707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a15e193d0857388b04c01ae1363938fd5abcf0393ea44ae2d3e72befb4097ce7

Observation 68aa736b-da0d-409f-aaff-e517ea4bc40c · outbound

This paper cites 2019 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2019 , eprint=

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.355622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:d97cd342555847ed8ae5dc833fa189676dafe7bf334af2bc14348f9f64f1a3b1

Observation 5ea6c50d-7487-4315-8165-4ba8d449b59e · outbound

This paper cites A Span-Extraction Dataset for C hinese Machine Reading Comprehension.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism A Span-Extraction Dataset for C hinese Machine Reading Comprehension

Reference 106

Resolution
verified exact
doi, observed 2026-05-11T06:08:05.915106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b57a9d2a8e7b5b121aa494031f8ee21d0c305e1e9cde572bef303c1f518e8a6a

Observation 617241e1-6714-4461-8f23-337a2e711732 · outbound

This paper cites 2019 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2019 , eprint=

Reference 107

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.364554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a3999abb5237c41cb2187b181011611d3c4606a9d3152ef07f84bf28ac6a1c6b

Observation 44007df9-effe-4cee-93be-9abdb7e953a5 · outbound

This paper cites 2023 , eprint=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2023 , eprint=

Reference 108

Resolution
verified fuzzy
raw_fallback, observed 2026-05-11T06:08:06.368408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:3e46056a6667dc3f2b6a7bf2b355aec824c980f4e380477d4acb651495e75207

Observation 150412f8-44d7-4450-a8c5-671dc6bdea56 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Measuring Massive Multitask Language Understanding

Reference 109

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:08:06.062351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:58a7c5e9bb98aeb035ad9d21f7d2c3ce23c7967a5f2507d14fac997430fb2dcb

Observation faedab8f-a203-430e-adf0-ff7ba29349b1 · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 110

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:15:24.133279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:78b32896be77ca92d6ce696f0b8c37a89bc410266294bb1500ea85b9fa326aea

Observation a4a4af09-daf4-45c1-85b0-d335577826a6 · outbound

This paper cites Program Synthesis with Large Language Models.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Program Synthesis with Large Language Models

Reference 111

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T06:08:06.087669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:0c1b6d808037eb25aced9bdbcdd3a8bdbff4ab5541ef493b2df0fe63d2e85cd1

Observation 2b64f2d6-8176-48f3-a874-06c0f18e1ad5 · outbound

This paper cites Proceedings of the 28th International Conference on Computational Linguistics.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Proceedings of the 28th International Conference on Computational Linguistics

Reference 112

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doi, observed 2026-05-11T06:08:05.901341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:4923918b5ec6c0b7bf381eb6acb71606af41fdea9384f3b4efc5100377623b21

Observation a345b5ad-3d4d-472c-876f-728e73c50aac · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 113

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raw_fallback, observed 2026-05-11T06:08:06.395682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:37d06a0133c0f0432387f3304cc39e506fdf05eeb33fd60497808a1128d9ea2d

Observation ece96f4f-94aa-4c93-803e-b8076ea7f21a · outbound

This paper cites Zheng, M.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Zheng, M

Reference 114

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a30631a2b1a08273a58d34e7c51b1c6198381535c5a1fb4f76cb54ccf794c640

Observation 5d462192-9796-40c7-a5cd-72b1f9e211c7 · outbound

This paper cites doi: 10.18653/v1/D17-1082.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism doi: 10.18653/v1/D17-1082

Reference 115

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:15704ee9ab0e50c760a9c4b69c60e7c8124f7cdf48413e9e38ec1afae6069254

Observation 27118f23-c558-4d65-ba41-d21d6c7672a2 · outbound

This paper cites Dua, D., Wang, Y ., Dasigi, P., Stanovsky, G., Singh, S., and Gardner, M.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Dua, D., Wang, Y ., Dasigi, P., Stanovsky, G., Singh, S., and Gardner, M

Reference 116

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doi, observed 2026-05-11T06:08:05.871476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:6f69838f3d79dcf25cc0e348a759d5325587ba7f85af2e7a2cda9922998be09d

Observation 9a0d0415-62cb-4cf1-83d1-d1fd7f135bb8 · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 117

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raw_fallback, observed 2026-05-11T06:08:06.414941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:5f3560ebf8ccbd5946442c08ca62df5086381fdb5b3e706b41fb0933e7023edf

Observation 42b45ae9-3a91-48c1-b597-ecebfb74fcec · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism LLaMA: Open and Efficient Foundation Language Models

Reference 118

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local_arxiv, observed 2026-05-11T06:08:06.095285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:2b6a3d9bee4beb83bcd4b28b7edd25d415121a114ee0b4c1776e787a2d568f78

Observation 082b4781-6539-493c-8a26-21216e6ab1a3 · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 119

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local_arxiv, observed 2026-05-11T06:08:05.863950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:7842d94ecad4baeedf891518390af120924a7280cca35400205c2d0b041457a9

Observation 0968558a-ae54-43ba-b78d-df268dd207fc · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Code Llama: Open Foundation Models for Code

Reference 120

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local_arxiv, observed 2026-05-11T06:08:06.104349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:56da01f002d324906449fa48c8d394c8c44f83d185b30eba7776e0c6863e498e

Observation 3d9415fe-d6c7-439d-8ace-0e794a2d3e55 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Training Verifiers to Solve Math Word Problems

Reference 121

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local_arxiv, observed 2026-05-11T06:08:06.124341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:bce25e7c7a4d628b84ef2ea91236fa557114cb56921b9be8be97347c531c15cf

Observation b3106ff4-3fc4-4b9f-87f8-44c1b7c2bb9b · outbound

This paper cites an unresolved cited work.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Unresolved cited work

Reference 122

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unresolved
raw_fallback, observed 2026-05-11T06:08:06.443124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:52665216a3a8b1a0c5e27b0d5427b6cb68544b6ca2cab90f7ddd26f3f12babfd

Observation 29c50967-2771-46e4-b630-edde26399d5b · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 123

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arxiv_id, observed 2026-05-16T10:03:59.570579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:cf9dc35aa1361e36064f28808845962c9b499e1bddbd2068f7659961b2138d86

Observation d0429413-1f4d-4341-b411-d615f0adfb18 · outbound

This paper cites Evaluating Large Language Models Trained on Code , journal =.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Evaluating Large Language Models Trained on Code , journal =

Reference 124

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raw_fallback, observed 2026-05-11T06:08:06.453347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:65403f452f505f6b6e00250ad80d3fac1bc95a0097af48243a7e91b2a99cc2bd

Observation c158bf17-03aa-4461-8106-e8857168459d · outbound

This paper cites URL https:// doi.org/10.18653/v1/p19-1472.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism URL https:// doi.org/10.18653/v1/p19-1472

Reference 125

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doi, observed 2026-05-11T06:08:05.844253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:425dded6fb026c0ad66d903eee7c38890dc332cea24a131ba1cae49f64d4d681

Observation 9ba9ec61-f5c7-4a31-aa5f-9ff42666e7e3 · outbound

This paper cites PIQA: Reasoning about physical commonsense in natural language.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism PIQA: Reasoning about physical commonsense in natural language

Reference 126

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doi, observed 2026-05-11T06:08:05.839234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:f31cf8d3a37b70aae2f50beeaf539d9edd6f66ef85bbb392106e96cb7010c929

Observation a5ee41b1-b4cd-490a-b6ae-ebf0ed4b4426 · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Measuring Mathematical Problem Solving With the MATH Dataset

Reference 127

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local_arxiv, observed 2026-05-11T06:08:06.143145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b0c4972ae252099a07c1f3cb8d8da7ebb497fe5170e811a8fa85d75240a9a222

Observation 3759651b-b788-429c-84c9-4a9e685ff00c · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism SocialIQA: Commonsense Reasoning about Social Interactions

Reference 128

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arxiv_id, observed 2026-05-13T12:22:26.192007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:a6d75c37a32efebfda3c0b616cb8b10c69b2c71ac2ebb01bb13b7c91504c6010

Observation 42c25863-cfe0-47a6-94c5-2b7f29e04c1c · outbound

This paper cites Evaluating the Performance of Large Language Models on GAOKAO Benchmark.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Reference 129

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arxiv_id, observed 2026-05-17T12:28:32.509177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:54e58182d8624d38771153547af0c9a2ca4b9ad5abeb16fcf960e038965f4854

Observation 90a1b898-a9be-40f3-a889-7fd5eccf6831 · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 130

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arxiv_id, observed 2026-05-14T22:34:16.071337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:b6e0e18797da1c1df0cabede805cffb3951103e0b60329b10f065f3ca0ddc237

Observation 6fe70b64-9b1d-4527-875e-66eb02b35f4a · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 131

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local_arxiv, observed 2026-05-11T06:08:06.169784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:fe2d5eb5472b2006f71bd8e3097201597da8c779e51cf4c814c42f7870c4c700

Observation a23b17ef-13da-4290-90e6-e1414fb824ba · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 132

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doi, observed 2026-05-11T06:08:05.814974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:dadffb64fdc098d8e0d14812e1dc5cc0dd90952e34177ab02467abb90eb5616c

Observation 924e966e-f092-44d1-b73f-63827f10f24c · outbound

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

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Instruction-Following Evaluation for Large Language Models

Reference 133

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local_arxiv, observed 2026-05-11T06:08:06.182265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:6f52e520de118236a0caf5b66a2e5d41b8cf1dcbbe71ae94c29f6a5a2c05f932

Observation 8b65074a-e21d-4e58-ab85-a1850301dbca · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 134

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raw_fallback, observed 2026-05-11T06:08:06.515242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:dbd704b89c1631a73626b5a8728e0e31d67cb4c75fd8af3db3313b5c061cf625

Observation 48c4de43-a973-4fcb-84e0-ca2a16a69549 · outbound

This paper cites Mistral 7B.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Mistral 7B

Reference 135

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local_arxiv, observed 2026-05-11T06:08:06.189342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:1906966c3f785371e7bd36917a8fb5e16bc71eb4cd4d444caea378405755d1aa

Observation fb253ae0-eb36-4fa7-981c-1a570d4a64cf · outbound

This paper cites Qwen Technical Report.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Qwen Technical Report

Reference 136

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local_arxiv, observed 2026-05-11T06:08:06.200348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:c0520110e8bfb43c381971b57d6751edec6aa8b58a205118afdc8285f94cf473

Observation 3a29af95-377f-4fc1-9cc9-a83bdea12a19 · outbound

This paper cites 2023 , url =.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism 2023 , url =

Reference 137

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raw_fallback, observed 2026-05-11T06:08:06.528533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:0c25bfce7126330e4f9fafaf5e957cd5a37af8d42a51edcb0ac0211bd3a242f6

Observation 8350ca3c-8e8d-4a08-b880-b3436a99b3de · outbound

This paper cites doi: 10.18653/v1/n19-1421.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism doi: 10.18653/v1/n19-1421

Reference 138

Resolution
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doi, observed 2026-05-11T06:08:05.802648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:780d506c971856a9e9def015be9802a4dfa8a335e4077ecc82f36f94789fc8f3

Observation dd0541cb-787c-4360-8234-6ba1b02dacd8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism Advances in Neural Information Processing Systems , volume=

Reference 139

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raw_fallback, observed 2026-05-11T06:08:06.594067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T06:08:05.550346Z digest=sha256:dfd05c8fccc041e00de44ca16dea08d2336fa7b07e38448e268db8444b93b620

Pith citing papers

Observation 20e48f86-d97d-429c-b0d3-5db993bfecdc · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 138

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local_arxiv, observed 2026-05-19T20:28:39.456326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:f035ae2e37fad7aec5ac92fcf292b412fe2f79024b57f19f063d94a14114573f

Observation ee3c2d96-3311-4b98-bec0-4fd8e2aeac25 · inbound

TinyLlama: An Open-Source Small Language Model cites this paper.

TinyLlama: An Open-Source Small Language Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

Resolution
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local_arxiv, observed 2026-05-13T21:09:45.433011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T21:09:45.317768Z digest=sha256:ade18d10955833282fb0a136c6731ff6d28e915652a4101c1f65a1f263cbac65

Observation 27567a8a-76cd-4352-a0af-cac91336d814 · inbound

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

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 130

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local_arxiv, observed 2026-05-11T22:50:14.375543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T22:50:06.399707Z digest=sha256:1b3471ec774e2f96057d3adc4cf3ccb91e4b2257934e8bd0372008f98d8ccc9c

Observation 39586f83-85b8-4da1-8363-d58ed7a83a05 · inbound

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

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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arxiv_id, observed 2026-05-11T06:08:06.759074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:26:38.812485Z digest=sha256:17962f6da82eee4bb1d57a5b0b7bbca1d53448d5141c6c6eb860655f9f1b5286

Observation 76037469-71ff-41d2-a843-434202c4f69c · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-16T02:33:30.261923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T02:33:30.143907Z digest=sha256:ee17cd03db446ee50251615bf13c9201d216d9917c1797bffc79e488b57fdfeb

Observation 4bb7427b-b3d0-409c-96c2-84b7903a39e3 · inbound

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

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 11

Resolution
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local_arxiv, observed 2026-05-24T03:23:49.453619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-24T03:23:18.827351Z digest=sha256:2fe223503d23fa57613f9fee4217ea29dfd12baaac79974fc0e553002a18a709

Observation 034607c5-5fac-4700-8a92-9d75c73d793c · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 22

Resolution
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local_arxiv, observed 2026-05-24T03:55:59.554295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:264b69720479bdf043e97fd01a9086b4c0bd0a3baf501f79cc5bb027c6bc4754

Observation 670baba2-8a2a-4c9c-8c89-1410880e5796 · inbound

DeepSeek-VL: Towards Real-World Vision-Language Understanding cites this paper.

DeepSeek-VL: Towards Real-World Vision-Language Understanding DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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verified exact
local_arxiv, observed 2026-05-11T17:58:54.418680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T17:58:54.177359Z digest=sha256:7facad5952d0511a5b96c86dfe3af3333af5861a12be095401f96492e7b89a1d

Observation 1baa2fd6-f52b-4e1f-acc2-cb160cbd7f47 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 245

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arxiv_id, observed 2026-05-11T06:08:06.759074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:6d7627c4529a6c27b17b888b84e6a85bcdfeebf1c51c595b7aef62ce5a4dc13c

Observation 2aeabd96-fd60-4393-b722-41a50189d843 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 159

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verified exact
local_arxiv, observed 2026-05-15T11:44:38.256699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:8c7e2b1acbcd3b855bc7f6aea97deb1a86e1c6ba8f4bdb45ab0c59aa904eeb9a

Observation 71424957-9270-4745-9d4e-9068066a95d8 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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verified exact
local_arxiv, observed 2026-05-12T19:41:44.328597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T19:41:44.263663Z digest=sha256:f984ea564ceb5411a522837b56af32295032dc0193944ee05e4c4efb7e7506dc

Observation 549e15d4-9804-4651-af44-ddc4be875d56 · inbound

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

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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metadata mismatch
local_arxiv, observed 2026-05-13T18:00:53.488736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T18:00:53.389420Z digest=sha256:641afecfbc2fb04cd2abaa0177d89b639428c5ec7685725940b95927e6887f94

Observation 61f5ff32-cb4a-4ca3-ac17-5998b428f482 · inbound

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-12T20:58:59.344530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T20:58:58.849040Z digest=sha256:ae4fbb4f4144efcc4fc97d32788f4b2f4ca833e7518caa177d98feb2edfa7de7

Observation 96908b73-98f0-492f-8f0c-6b23e1a08d19 · inbound

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

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T06:08:06.759074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T05:36:26.207359Z digest=sha256:e4cb51b094395fa7da5df281b0288ef9905f894929b412db62fc532c425c3f22

Observation d0de06df-f1c3-4edd-b2f9-21f7ed0779af · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 26

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verified exact
local_arxiv, observed 2026-05-13T20:18:06.557143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:f46612b063c8dc14f80715f213943c0d5a1d0dab5389dcea57ee85c4e6060152

Observation 28bddc3f-03e0-4d70-9370-93b538fed9fd · inbound

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation cites this paper.

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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verified exact
local_arxiv, observed 2026-05-11T22:09:16.732856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T22:09:16.622717Z digest=sha256:95ecbba68948a10f8132c9d7a62bdd86a9217cd039d855a76cbd98b2b6a186a4

Observation fdbf9132-eac0-4310-9c3e-42be163b627b · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 23

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verified exact
local_arxiv, observed 2026-05-17T22:58:16.885295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:995090871acdf8106cc8cecff5d5d12b512df23988df7f945c1fddfa08b79ffa

Observation da49297d-d1d0-4f6b-be57-6ce305d822b7 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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verified exact
local_arxiv, observed 2026-05-16T00:03:55.652918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:2a2c4ebe67af361bfbbb5e5414351c3ebbee9e08fa5df20c3b239cbcbde6df9a

Observation dcaf89bc-f98b-4ce4-a286-a12790f424dc · inbound

Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer cites this paper.

Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T22:13:30.152489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T22:11:59.206066Z digest=sha256:f3e1e2127309cd2aa53f982ad98ea42e23340b7d5bf45ba2faa33e2cffaf8d9a

Observation f25b8a45-79ba-4bf4-89b6-dcda6f86d320 · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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verified exact
local_arxiv, observed 2026-05-23T20:45:48.804562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:f8e5fd60e8f92f8071d7bc3f706879e7dad98325077ca2ddf5d5389c4de021e4

Observation 18ae77bc-b031-4487-a475-3378da3d9804 · inbound

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning cites this paper.

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-21T01:42:19.067272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T01:42:19.004468Z digest=sha256:342f0f7401642c6b9a26e8917b3fd9f59c33c626aeed6fe78dbd0c1250e741c0

Observation 855d46c2-a914-4dde-8a18-5e746d68236a · inbound

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation cites this paper.

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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verified exact
local_arxiv, observed 2026-05-15T22:09:16.387211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T22:09:16.001309Z digest=sha256:1dbe3e314a1d9ea76411fdaadf28a3c8269afd51ea4567847b9daaa9f4de3f55

Observation 23cd71db-fdeb-4365-8294-1b9ab81dd526 · inbound

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 16

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verified exact
local_arxiv, observed 2026-05-23T18:43:19.164685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:9518d70a4525f878d94c8691c60fa40d23cbcff0402062411f3f846ed3ef144a

Observation b1d4326c-23b5-4fb6-a312-408cbdb6cbc1 · inbound

I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion cites this paper.

I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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no resolver link, observed 2026-08-12T19:29:16.215258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:29:16.215258Z digest=sha256:a59088e48754710f8a88d381845d2881a7be2a00d073ac4e234409845917575c

Observation c36ca47f-55d3-468f-98c9-1f6a47776e4f · inbound

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations cites this paper.

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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no resolver link, observed 2026-08-12T17:20:47.817894Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:20:47.817894Z digest=sha256:0cd5230416189033834cde2506aff975fb3ae3a27e9f8a7b65577e511782cdfd

Observation d0b661d9-a4e3-44cf-b6ea-a4b2cfef93e5 · inbound

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body cites this paper.

Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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no resolver link, observed 2026-08-12T15:28:29.383482Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:28:29.383482Z digest=sha256:f47dc475ea3016fa791bf33a45bf950f76ed491b868b5c219f5bc5d4dc29de7e

Observation 79b96b6d-9739-455b-90df-958ab0573eb1 · inbound

AI Tailoring: Evaluating Influence of Image Features on Fashion Product Popularity cites this paper.

AI Tailoring: Evaluating Influence of Image Features on Fashion Product Popularity DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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no resolver link, observed 2026-08-12T15:03:43.387184Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:03:43.387184Z digest=sha256:d162e9a09b346e61fedda8aa7912735de63fe4ee408f03d838fd99a747242e50

Observation 7a28b334-8c86-4a5b-b6ee-752c2b1bb7f4 · inbound

In-Context Deep Learning via Transformer Models cites this paper.

In-Context Deep Learning via Transformer Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2023

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no resolver link, observed 2026-08-12T13:07:59.448916Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:07:59.448916Z digest=sha256:a06a8db3a3f9c4d74bddf019a6e8cfc671e5a03b4ddee97606e8ce8482d53737

Observation 6959664b-9adb-4de5-be0e-a573a00b1a82 · inbound

Towards Precise Scaling Laws for Video Diffusion Transformers cites this paper.

Towards Precise Scaling Laws for Video Diffusion Transformers DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 1

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no resolver link, observed 2026-08-12T12:58:57.075789Z

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source=pdf_text observed=2026-08-12T12:58:57.075789Z digest=sha256:02f432a2fe7969b16df13d53382a97e2d6a5cf3069eefb3352dec0a385337bf5

Observation 41de31f7-c4f0-440f-924a-a147fbfd5b79 · inbound

Scaling Law for Language Models Training Considering Batch Size cites this paper.

Scaling Law for Language Models Training Considering Batch Size DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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no resolver link, observed 2026-08-12T04:24:20.967547Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T04:24:20.967547Z digest=sha256:a569061ac08d23bad42d340c00183085555508e053e71113b29b4f84731179b7

Observation 7a6a4d54-49d4-40a4-9689-1c142c66c0c1 · inbound

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? cites this paper.

AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information? DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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no resolver link, observed 2026-08-11T23:19:11.433145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:11.433145Z digest=sha256:f5a4d09e546e5e6ec56b845c078bfe47a0ada8b12aa5b987efb001af9f2f829c

Observation 3b40a6d0-53fa-410d-b026-b300f2b34edf · inbound

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning cites this paper.

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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no resolver link, observed 2026-08-11T22:38:30.804831Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:38:30.804831Z digest=sha256:238255c026ac77f60792d32743a987f035bad812c04ad94afe7902d0716d5004

Observation c87fc84a-c4ec-4424-9137-3dd8f87f9107 · inbound

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation cites this paper.

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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no resolver link, observed 2026-08-11T21:37:19.785090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:37:19.785090Z digest=sha256:6f11ef1bd386a385cddba1ea23670769c108ce0a0f729743c4afc49198b70abd

Observation e27d0ef9-a63a-44b6-bc23-b6376ccfbf43 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 10

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no resolver link, observed 2026-08-11T16:58:02.868230Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:58:02.868230Z digest=sha256:8f66350484f0b91a46d6751858c0d5b5f91118e7ef39b0ec9b9de79e844ca07c

Observation 2434295a-7bfe-4af8-a37f-bf66c1ca6d2c · inbound

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector cites this paper.

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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no resolver link, observed 2026-08-11T16:25:36.667481Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:25:36.667481Z digest=sha256:2d3b842def254e59ffe98e1d5f01801c5369f4a21eb1343566e594319a32914b

Observation 4ac370c2-0533-4634-9e49-37eaf87a95d6 · inbound

Smaller Language Models Are Better Instruction Evolvers cites this paper.

Smaller Language Models Are Better Instruction Evolvers DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

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no resolver link, observed 2026-08-11T15:13:00.560513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:13:00.560513Z digest=sha256:65f707ab40b18301d2ce3f7fae37c77907d93439480d37e05b65d5513888158a

Observation 880f976d-a632-4f37-a7c7-e7a7111df26f · inbound

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training cites this paper.

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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no resolver link, observed 2026-08-11T13:28:28.576403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:28:28.576403Z digest=sha256:e5555bf6e8996d4ce7a864c866c994edfcba2459c020ed5a3faf9d8713eeed0f

Observation 9ef302c4-ab2b-4330-86ae-79c29054d05f · inbound

FastVLM: Efficient Vision Encoding for Vision Language Models cites this paper.

FastVLM: Efficient Vision Encoding for Vision Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 21

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no resolver link, observed 2026-08-11T13:19:23.153679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:19:23.153679Z digest=sha256:fd553f0f26f89948cdff56e75fecf2c8ba7d3be5ec25334b96c8cdc91bfcd6f2

Observation 7cdea624-089f-4643-a396-32502d825ab4 · inbound

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs cites this paper.

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2023

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no resolver link, observed 2026-08-11T13:19:18.639273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:19:18.639273Z digest=sha256:1e20e0797bbff54f97679cccf8ec51ef3f8210e3e9d923da9a2533e2d304d992

Observation 0dbc672c-b4c8-44c2-8f54-942f3cb0d11e · inbound

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model cites this paper.

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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no resolver link, observed 2026-08-11T12:13:11.833771Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:13:11.833771Z digest=sha256:d30331ab677ca06099c1b19891c6f841c0d2308fe641fa6c2add93246f3c254f

Observation 27c69de2-725b-4d44-8b62-bf529de243ac · inbound

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models cites this paper.

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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no resolver link, observed 2026-08-11T14:04:52.099726Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:04:52.099726Z digest=sha256:0a101911ba2ef41e49a14b0a6625490fdaa0a2e6444522aefa5653becf5e8b2d

Observation dfcf8ced-fa11-4fc5-95f2-c0a211c7eaae · inbound

Next Patch Prediction for Autoregressive Visual Generation cites this paper.

Next Patch Prediction for Autoregressive Visual Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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no resolver link, observed 2026-08-11T11:37:41.890237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:37:41.890237Z digest=sha256:85a0594aa37a9856ff430a37ae71561725d96d7d8be4870999117ded269ec9a8

Observation c738cf5a-996e-46cc-be94-52024b1e7b07 · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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no resolver link, observed 2026-08-11T05:58:54.950636Z

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Unavailable: canonical work link unavailable.

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Observation fbf056b8-538a-4826-b382-f64b47e8f88c · inbound

YuLan-Mini: An Open Data-efficient Language Model cites this paper.

YuLan-Mini: An Open Data-efficient Language Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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source=arxiv_source observed=2026-08-11T05:17:55.507213Z digest=sha256:65f994e3e5631273e2f40a4468128fbce9d0963ae831b4ff0aaa73faabcaf908

Observation e8dc58fa-0bec-4102-849e-0c76460d9410 · inbound

In Case You Missed It: ARC 'Challenge' Is Not That Challenging cites this paper.

In Case You Missed It: ARC 'Challenge' Is Not That Challenging DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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source=arxiv_source observed=2026-08-11T05:13:07.183255Z digest=sha256:36c931c61e5dbbbe9ce3f81f0a662d6457df6d4fedcc4b65c01cd4a4f4bd01f5

Observation 1cefa89d-f2a4-4372-912e-3f06dc267701 · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 44

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local_arxiv, observed 2026-05-15T12:36:50.263457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T12:36:50.060335Z digest=sha256:5fcd6ea87efb2059ad10b0b544809a7a8a005ea86fd1a8a8b770db265d3d5107

Observation dffe2b47-6b3e-45cc-b942-4735d1f9fe1f · inbound

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs cites this paper.

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 10

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source=arxiv_source observed=2026-08-11T00:22:29.903873Z digest=sha256:3b0ec2e7969458ffd6882b80b2b1a95391059787ba0572ec01f9bb347827e94e

Observation 2687125c-24e1-48de-ab2e-96b715d75515 · inbound

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders cites this paper.

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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source=pdf_text observed=2026-08-10T22:27:13.412710Z digest=sha256:3364dba07a342a0e710d811fadb06054ca8dd3b1f5f312f742b91749481c6197

Observation 0a99902e-8f85-4581-8247-0435100155c1 · inbound

Foundations of GenIR cites this paper.

Foundations of GenIR DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 41

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source=pdf_text observed=2026-08-10T22:06:04.817170Z digest=sha256:5f4a7bb66754f9342168864f18e5351b6e049ff8ca9bdba0f127e8ff4ef91a7f

Observation f1f20188-591f-41f5-8adc-c8439b4c6a40 · inbound

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation cites this paper.

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

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source=arxiv_source observed=2026-08-10T21:03:44.144750Z digest=sha256:44eed25af6852b323dc8b05861c6fb141ee57e5fe880e6732c96020edf11f002

Observation 772ecb19-1445-4cf8-8bda-4eac8b32dd72 · inbound

Eliza: A Web3 friendly AI Agent Operating System cites this paper.

Eliza: A Web3 friendly AI Agent Operating System DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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source=pdf_text observed=2026-08-10T20:52:59.979212Z digest=sha256:10b4371bfcea796229a627b578f857e3c80464d33450fb92461341b1632e4b67

Observation 3c526ebc-31c5-411a-950a-8a978bb560d9 · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 42

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source=arxiv_source observed=2026-08-10T20:54:02.111522Z digest=sha256:491a5f727d2fba86e80550d430b2be9b091506239cdf7701eeba0b061ea3815b

Observation 45975cef-4eab-4a08-ac97-d422d09ba608 · inbound

Aligning Instruction Tuning with Pre-training cites this paper.

Aligning Instruction Tuning with Pre-training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:34.791934Z digest=sha256:e39e102d0950b34562f408f9475ffe846c1e76f2c6096dd3cf792e314365616e

Observation de772943-a24a-476d-a274-4c27c35a853e · inbound

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation cites this paper.

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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verified exact
local_arxiv, observed 2026-05-23T04:55:25.007100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T04:53:58.465445Z digest=sha256:18e6883bb61679d60a0fb06fff4a6d3e762592a70ae456f959bd8fbe49e9778a

Observation 440d4b1c-cff8-44cf-8575-e07904b9e424 · inbound

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models cites this paper.

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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no resolver link, observed 2026-08-10T17:19:28.829270Z

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source=arxiv_source observed=2026-08-10T17:19:28.829270Z digest=sha256:93c47de124644f9e93111839a8d7b9ca3affccf183787f6965ce4f1881735d6e

Observation fbcd98db-3ab5-4344-9f77-7e4fc31a0133 · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:52:49.634603Z digest=sha256:4a19fea0c9e60b419d4011ccf7fe471041b0ac8b49b1247e431c84f9f4416005

Observation 76c8d431-8825-4ff8-a535-e87dfce6b447 · inbound

A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods cites this paper.

A Comprehensive Survey on Integrating Large Language Models with Knowledge-Based Methods DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 16

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source=pdf_text observed=2026-08-10T18:34:59.499882Z digest=sha256:9a1cb35d0b0f926a27d0fb3ffe843ed1b4d0a0655fd4b4c3f8840a5cfbf0deec

Observation a326e482-633b-4e26-838c-71a3fa33cd20 · inbound

Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion cites this paper.

Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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source=arxiv_source observed=2026-08-10T15:02:24.037473Z digest=sha256:9946289b6fa7e2c3019aa9a125789d22309dad382460c640b3825b1cdf94810a

Observation 93d73ca6-036d-424f-b301-4ca4cfe69dee · inbound

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling cites this paper.

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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verified exact
local_arxiv, observed 2026-05-11T08:14:53.067227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T08:14:52.890145Z digest=sha256:7cc9516577cd0237b8ec16a604b3f957c7c6a11cc8bf63481e9280f96560a28f

Observation deff94b1-4d1e-4efa-b91a-c0e873fdc51f · inbound

Generative AI for Vision: A Comprehensive Study of Frameworks and Applications cites this paper.

Generative AI for Vision: A Comprehensive Study of Frameworks and Applications DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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source=pdf_text observed=2026-08-10T00:58:34.712026Z digest=sha256:88746f7453223f1aa62826deb1a2580563f3eaf4bba981dde1766d11e128108d

Observation 13a0a027-1f62-4934-bd2b-626125e9f274 · inbound

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models cites this paper.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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source=pdf_text observed=2026-08-09T23:21:56.431762Z digest=sha256:e018885f6b1e081aa5db91cdbdf2ab566e894af06dc944fd7506b0e3e9085a7b

Observation 996c0035-3dda-461e-b3ca-f8cbf3ce2271 · inbound

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking cites this paper.

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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source=arxiv_source observed=2026-08-09T20:34:01.228899Z digest=sha256:2cb9bca34cee8f01e3b7f35ec60ce84f3b368dc73f51058b1a6aa8f775a2df97

Observation 6838ee51-a742-48c7-a6c8-f2936e1f5ba0 · inbound

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models cites this paper.

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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source=pdf_text observed=2026-08-09T18:06:03.902859Z digest=sha256:d77137aa03b6d668ae9fd21d3a5f131625aee5549ad6b6067e0ad04659ec719f

Observation 66ac0ef5-eff3-4f2d-a3f9-0b8ebd788fc3 · inbound

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies cites this paper.

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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source=arxiv_source observed=2026-08-09T17:26:11.173158Z digest=sha256:07f0c91e6a1f831312218c6913f433e4396a875843820ac14f1543bc24e5ea8b

Observation 787bc067-66e8-493d-aa49-09e26bf4665c · inbound

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 60

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source=pdf_text observed=2026-08-09T16:10:24.910143Z digest=sha256:824999d7b20da125737c6f6a79e2d6a65bde814f10209bf83c567a4208790658

Observation 0664e562-cfce-45cc-b606-29bba954991a · inbound

Position: AI Scaling: From Up to Down and Out cites this paper.

Position: AI Scaling: From Up to Down and Out DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2009

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source=pdf_text observed=2026-08-09T18:19:20.896363Z digest=sha256:77d8c761ac33bc35cef6461c83e257e07a66ad4ad0f9f236772baed026c5b9fc

Observation fd98f46c-9ef9-4c85-9948-94e1db7fef28 · inbound

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios cites this paper.

From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 35

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source=pdf_text observed=2026-08-09T13:12:23.926801Z digest=sha256:b5843a3b4e9bf0301fa3b9165e13ef53e6b12a7883cc90c6e763b2b1fd1680df

Observation 87b7a5ac-8255-4fb7-8bb3-19f496aea454 · inbound

Scaling Laws for Upcycling Mixture-of-Experts Language Models cites this paper.

Scaling Laws for Upcycling Mixture-of-Experts Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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source=arxiv_source observed=2026-08-09T10:21:00.641993Z digest=sha256:b4d73336453544c6af336e41e842642f0fec5ceb1eb8322ad4718ccf86164f85

Observation 2af81b3d-8caa-4343-85b1-da6be3e865ac · inbound

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging cites this paper.

Fine, I'll Merge It Myself: A Multi-Fidelity Framework for Automated Model Merging DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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source=arxiv_source observed=2026-08-08T23:51:29.332208Z digest=sha256:76ef132e2d7f0e50a592e83993653560357561a7fca80f17a331de3c7f72ad97

Observation f5824e7e-4bcb-4e98-be0e-ebfb8295506d · inbound

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection cites this paper.

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

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source=arxiv_source observed=2026-08-08T17:01:36.066170Z digest=sha256:d9961b2658a088f54aafd409c2448a6f2555e2bf49ef9e85dedbbdc33a27b23c

Observation 5432cfb1-ca45-4f38-9fb5-61c215c0d961 · inbound

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models cites this paper.

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 8

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source=pdf_text observed=2026-08-08T14:25:55.568135Z digest=sha256:ae9604c9b94511b5149209d4d5956e977ec01a76aed06771e92549862d688c12

Observation 80656678-415d-46e8-8308-b74ab49032ce · inbound

IHEval: Evaluating Language Models on Following the Instruction Hierarchy cites this paper.

IHEval: Evaluating Language Models on Following the Instruction Hierarchy DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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source=arxiv_source observed=2026-08-07T23:56:00.014597Z digest=sha256:c16ec98a2fe63600d9539b80782852cfec9aa42f0c4cc9ce79eb5bc510b46974

Observation 8eaf37d5-2f28-4454-a5c4-47f2284fb5ff · inbound

Climber: Toward Efficient Scaling Laws for Large Recommendation Models cites this paper.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

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source=pdf_text observed=2026-08-07T20:15:13.906708Z digest=sha256:c718f95c0248d8465202256a9636c290bee3778331ebc15d70c0a44d1fadf47a

Observation 485db17f-b71c-45d0-8ea0-c3ee3d077ed0 · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 33

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arxiv_id, observed 2026-05-11T06:08:06.759074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:376a1844d72336c0ff358e45f55a3b0a18b1ba8726927b679b6b2480c253ff2a

Observation 375cea56-7ee4-46c8-8e7d-f8386e8f1a49 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 91

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local_arxiv, observed 2026-05-19T08:02:23.605506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:770bdd21704cea14dfaddf645ab631ec05afc1f3facabbc7adc18a0e65ddeeb3

Observation 085eef7e-99e0-4653-a839-7f65fa8a4361 · inbound

Muon is Scalable for LLM Training cites this paper.

Muon is Scalable for LLM Training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 93

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local_arxiv, observed 2026-05-11T23:02:51.951346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T23:02:51.656353Z digest=sha256:5eb8a3e239942c0cbe46fd2d99c51b9b577143ce00f9bf8f677c24d8eb7773a2

Observation 95c4f277-585c-483f-8ea7-c7d20b935659 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 54

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verified exact
local_arxiv, observed 2026-05-12T08:40:41.212834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:6a8cc0cdd036d41d57190ee823b3a7377c5971fcff9d57094bfe7020d58957b3

Observation 3223d133-1d40-49f7-9453-fb96ce97b930 · inbound

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding cites this paper.

Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 11

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verified exact
local_arxiv, observed 2026-05-17T02:40:06.554694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T02:40:06.454859Z digest=sha256:0dde2eae7ea0d5cfd045e982a735f445a997c4315752b188d8afa792171f4b1a

Observation 844de9ac-e9ff-4285-a026-f505dbfba912 · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 15

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verified exact
local_arxiv, observed 2026-05-22T22:55:12.346654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T22:53:16.951417Z digest=sha256:40afd313af6372c51db47c91e82d1d47779f5fdd7b904cb7235dc83202c4a0da

Observation 44bacb63-41e2-43bb-9910-173c438852ac · inbound

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training cites this paper.

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:15:09.592519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T21:12:22.201810Z digest=sha256:46a38352c3e33c08be258f081a31dac498683b23890f3b63ee40a743292156a6

Observation 71333625-702d-403f-b591-2655235aafeb · inbound

Extracting memorized pieces of (copyrighted) books from open-weight language models cites this paper.

Extracting memorized pieces of (copyrighted) books from open-weight language models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-05-22T14:01:38.019362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-22T13:59:05.460455Z digest=sha256:c36417a671c208f9c1dfd26049d022a2757a0a24888603a8177cb21cf8384b64

Observation c5aa4bde-b879-4805-9a29-7d54defcacc7 · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 66

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unresolved
no resolver link, observed 2026-08-07T15:36:06.332583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.332583Z digest=sha256:212271bc54a0ce4d7fc267a01dd586c270a9bee91886ee117e518ad6735bef39

Observation 46e84066-4c31-4f17-98a7-79717af5cf07 · inbound

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models cites this paper.

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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unresolved
no resolver link, observed 2026-08-07T15:21:02.707953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:02.707953Z digest=sha256:964d3cbc0d512621c7f8dcd8ea45effa58f008702123a075296786422b75b7d7

Observation 4ee9c737-24d7-4521-a350-52090cc44a5a · inbound

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 12

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unresolved
no resolver link, observed 2026-08-07T15:13:39.381567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:13:39.381567Z digest=sha256:f5b9e7b6c579881168c20748e66ca12384f226fb3016c92528c2341adc1e010a

Observation e20982b7-90c8-46b3-8f8a-598f0a197b53 · inbound

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning cites this paper.

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-17T03:46:06.425044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T03:46:06.074416Z digest=sha256:f9061acb7c04c6af474f1ae4dd681c7176f334c33df85052c9be2e970bf7c2cf

Observation 0b259939-b852-4560-ae4e-023784a87b3e · inbound

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language? cites this paper.

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language? DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:55:14.822389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:14.822389Z digest=sha256:82b3921073418a9cc3a09d3d5f1ca03119989616a157dd9d07b852f9876e8af1

Observation 9c34b8b2-ab25-4ae7-95a2-556ab147525a · inbound

RetroChat: Designing for the Preservation of Past Digital Experiences cites this paper.

RetroChat: Designing for the Preservation of Past Digital Experiences DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:54:58.491062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:54:58.491062Z digest=sha256:29a51c072577a47b59d7c545771aa88de5861350e627a297d9ccbbda93f25929

Observation 24dbfffb-92e8-4f8b-96f4-5184825983ce · inbound

MLLMs are Deeply Affected by Modality Bias cites this paper.

MLLMs are Deeply Affected by Modality Bias DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 67

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unresolved
no resolver link, observed 2026-08-07T14:30:22.229737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:30:22.229737Z digest=sha256:4d31ce1eb1dffa52fb3ba07757c76c134452a6edf8279d605a49427cd981d9c6

Observation 74a10ef1-a68b-4007-bfef-8db2d98116f2 · inbound

Unveiling Dual Quality in Product Reviews: An NLP-Based Approach cites this paper.

Unveiling Dual Quality in Product Reviews: An NLP-Based Approach DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:22.266870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:22:22.266870Z digest=sha256:618f414aef6d1e35bd59c6699828fd35ac045d180778ab87cf135ab060fdf69b

Observation a51e8220-0a78-4e19-a6ae-76cde2189130 · inbound

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis cites this paper.

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 5

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unresolved
no resolver link, observed 2026-08-07T14:17:26.266244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:17:26.266244Z digest=sha256:e432a3c7c25e27758d3c4a5fbdadcaea61c61f3ae27d796c7fa6f558325adfe6

Observation 097de96f-0240-45c0-b10b-2f4a9fa29064 · inbound

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph cites this paper.

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:02.234943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:09:02.234943Z digest=sha256:3160ab985900311242e37784e01d2492a0f0e7d0b9ef657b1fd97dc61316976b

Observation 9b9c87c3-d87c-4b35-8027-caa2498e6fc6 · inbound

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models cites this paper.

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:46.863793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:46.863793Z digest=sha256:66d7d54f0c3404ec921c041137db8f34855aef406d5cb6a0901aa63de9af5f33

Observation 7d3c0098-fe8a-4f75-9dbb-4d017c655c3b · inbound

ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning cites this paper.

ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 21

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unresolved
no resolver link, observed 2026-08-07T13:35:51.435602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:51.435602Z digest=sha256:a6180efb781e6c1aeac1999f6e4ce7c5cad26927a2f094c40fefec1609e1e428

Observation 51bcf476-8713-430c-b1c1-139587518c73 · inbound

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs cites this paper.

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T12:42:18.933087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:38:15.869606Z digest=sha256:3a317aebc795d5cd753adb48e82d74281228ee5bfa22aabbdbaa026cc4133feb

Observation 63cc4027-9b16-42ba-afce-f7b37a333bff · inbound

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs cites this paper.

Seeing Isn't Orienting: A Cognitively Informed Hierarchical Benchmark for Object Orientation in MLLMs DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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unresolved
no resolver link, observed 2026-08-07T13:30:21.935468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:21.935468Z digest=sha256:7de8b54010ce93302aa65781f63481f444e108ddbff461c62e77ac5637f212e0

Observation e670f233-69e8-4215-b3ae-6f2892abdf02 · inbound

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions cites this paper.

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:51:16.400116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:51:16.400116Z digest=sha256:b5260bb9f77f09c11fe065ce0861bef8b464c72d01267dc81bd718da09d02cf0

Observation 33e50349-0dd1-4cca-b99c-0339394e082a · inbound

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models cites this paper.

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:38.746391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:38.746391Z digest=sha256:85253ca0273b8967c8879efa94080aab073e599d9fa97062f0a5829def34753d

Observation 33b453ee-9591-431b-8440-2c3df6d03974 · inbound

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution cites this paper.

Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 2

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unresolved
no resolver link, observed 2026-08-07T12:41:42.517680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:42.517680Z digest=sha256:34d1b2b86cd5f382fcb2635cbc35ae5f7c0e78e5054664975e6b8d16b0d0668c

Observation 0665db67-314e-4304-a5b9-21bcc3aa40ca · inbound

CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer cites this paper.

CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 7

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unresolved
no resolver link, observed 2026-08-07T12:37:14.233681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:37:14.233681Z digest=sha256:6def0471d94435a02fe74b4a776db8e20259f0ec611d47ab81b36ce8d26b8209

Observation 7310e36e-b571-49d4-8b5c-764bc4282219 · inbound

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks cites this paper.

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 9

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unresolved
no resolver link, observed 2026-08-07T12:18:50.455391Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:18:50.455391Z digest=sha256:7267bd623e0e62ef66d14811615e5e51a332cfc0b1c2940a65b69a1d0b145bea