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Paper Citation Record · LEDGER

Compass-V2 Technical Report

As of 19 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2504.15527.

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

pith.paper-citation-record.v1
2504.15527 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:02.005029Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

89 of 89 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved79
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f11af38c-7920-4971-bd02-4bd6c90b79a9 · outbound

This paper cites write newline.

Compass-V2 Technical Report write newline

Reference 1

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no resolver link, observed 2026-08-16T11:28:01.708662Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.708662Z digest=sha256:00c55830267d8ab2200179380d6ccdb1b7dba31ac9da591bfd0d90f3d5dceb1e

Observation 6ec770de-6023-48ab-8d95-88c34aad7936 · outbound

This paper cites Gpt-4 technical report.

Compass-V2 Technical Report Gpt-4 technical report

Reference 2

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source=arxiv_source observed=2026-08-16T11:28:01.713419Z digest=sha256:02e02bc8b155a6acf7fbd0124b091010b4c29b15cfba5604e8030365fcf8bcf3

Observation ad8f6ec2-e909-41b1-8141-7759c6fb630b · outbound

This paper cites GQA : Training generalized multi-query transformer models from multi-head checkpoints.

Compass-V2 Technical Report GQA : Training generalized multi-query transformer models from multi-head checkpoints

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.716597Z digest=sha256:a44656696579abad2899b4d80214e72de94053ab097cf233dcf74405840a8b10

Observation df8ed232-e007-48f1-83fe-fa0e7c11893a · outbound

This paper cites Sea-lion (southeast asian languages in one network): A family of large language models for southeast asia.

Compass-V2 Technical Report Sea-lion (southeast asian languages in one network): A family of large language models for southeast asia

Reference 4

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source=arxiv_source observed=2026-08-16T11:28:01.719840Z digest=sha256:826282fe496d44ea195f2330ef0075e319025edeb9d130439902a2896d5d304c

Observation 877fa7f6-c3ca-484a-89f7-ed61797a6569 · outbound

This paper cites Claude 3.7 sonnet and claude code.

Compass-V2 Technical Report Claude 3.7 sonnet and claude code

Reference 5

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no resolver link, observed 2026-08-16T11:28:01.722783Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.722783Z digest=sha256:3adf5610329209ec37333f42ff269132c88d655085bf0521c2dfa799697b5223

Observation 79024465-a69f-46ef-8c61-7aabb7fabf21 · outbound

This paper cites Aya 23: Open Weight Releases to Further Multilingual Progress.

Compass-V2 Technical Report Aya 23: Open Weight Releases to Further Multilingual Progress

Reference 6

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no resolver link, observed 2026-08-16T11:28:01.725742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.725742Z digest=sha256:dceb390e76af28b2389a4cdf543f252e20a6d1343776d28f8c0ef1a946b31a68

Observation 1bac3e2e-1e6b-44b0-9804-bb872246d603 · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Compass-V2 Technical Report The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Reference 7

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no resolver link, observed 2026-08-16T11:28:01.729249Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.729249Z digest=sha256:ff2a24d0cd52dc4f3c31d0f763638ab5ffe5160844262705738c1cea67b908e9

Observation ca0eebc7-3bfd-4958-861c-252b02162371 · outbound

This paper cites M 3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation.

Compass-V2 Technical Report M 3-embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation

Reference 8

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source=arxiv_source observed=2026-08-16T11:28:01.732799Z digest=sha256:4ea1cd70b5dc6b62e816cdde0e1c19cfd2f3c255e07ccd1ad52b89db84dfb031

Observation cd90eefe-70be-453e-a45d-96ec56d66a04 · outbound

This paper cites Benchmarking Large Language Models in Retrieval-Augmented Generation.

Compass-V2 Technical Report Benchmarking Large Language Models in Retrieval-Augmented Generation

Reference 9

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no resolver link, observed 2026-08-16T11:28:01.736397Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.736397Z digest=sha256:68932571e56f02eced56e4686ddc7e1f1855a10a0ba7e98b068e3a87658eb959

Observation 4bc7f0c9-eed8-4fe5-93a9-b303f3ac5e55 · outbound

This paper cites MultilingualSIFT: Multilingual Supervised Instruction Fine-tuning , July 2023 b.

Compass-V2 Technical Report MultilingualSIFT: Multilingual Supervised Instruction Fine-tuning , July 2023 b

Reference 10

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source=arxiv_source observed=2026-08-16T11:28:01.740155Z digest=sha256:0de58321fd4d1fbac5b53e79f01ffa5d44b195fe1c737d7d730c96b6cef8aece

Observation a71dbd91-dca8-4c12-a174-3e9a9c17b3b4 · outbound

This paper cites Deep reinforcement learning from human preferences.

Compass-V2 Technical Report Deep reinforcement learning from human preferences

Reference 11

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source=arxiv_source observed=2026-08-16T11:28:01.743490Z digest=sha256:e7a22df25625f77dfe8c2213f7b5117fec0f36df396454a34a91cb60c8bcc379

Observation 98f373a3-0ed8-4875-98e9-bcd5ceebe59a · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Compass-V2 Technical Report BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 12

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source=arxiv_source observed=2026-08-16T11:28:01.746974Z digest=sha256:75e68321501609c603ab8f27e515efaeb3562fc6781642b36b55d4f6079ee246

Observation e197fccd-e8cc-445d-8405-3cd8b30a84b6 · outbound

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

Compass-V2 Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

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source=arxiv_source observed=2026-08-16T11:28:01.750569Z digest=sha256:70f8216e9f2186d7c9e88a41ec457d71666512aa6673261bd01fd081df37301b

Observation 0b4f1466-b71d-4f8d-996d-2cffd7135010 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Compass-V2 Technical Report Training Verifiers to Solve Math Word Problems

Reference 14

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source=arxiv_source observed=2026-08-16T11:28:01.753855Z digest=sha256:9dc73afe1ed417142300ac9666dd7901ca1e8baeb3fb67baf99c586f796d147b

Observation 5a712dfd-3327-4050-a1b0-3c2c316c4237 · outbound

This paper cites Commoncrawl, 2007.

Compass-V2 Technical Report Commoncrawl, 2007

Reference 15

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source=arxiv_source observed=2026-08-16T11:28:01.757124Z digest=sha256:c13abfdcb477be40ffebc5da0396689dc9ba481d9e2d32d9e783dc564b28d763

Observation f4cdeca0-54f9-4143-b7ad-a9457f8d8ee5 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Compass-V2 Technical Report Unsupervised Cross-lingual Representation Learning at Scale

Reference 16

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source=arxiv_source observed=2026-08-16T11:28:01.760248Z digest=sha256:6617773cdc9cf2c232376330f161658d87a8cc84918227a844914d6eb9090e8d

Observation 3006f356-d063-4f6b-b347-86e25dda05fb · outbound

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

Compass-V2 Technical Report UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.763286Z digest=sha256:e2ef33b94c55e989687e9f0d6ea4fad12783cdf09beef7e2b3609b07e3bda30f

Observation 8dd66b3d-8abc-4613-91aa-09ae5a074c9d · outbound

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

Compass-V2 Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 18

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source=arxiv_source observed=2026-08-16T11:28:01.766856Z digest=sha256:60bf21570321f61db215f2ea42204ed2c3659bdebdd3bd4b8262c83e2282b82f

Observation 5b1b6e0c-c0ea-41f6-bd23-01be54cf0655 · outbound

This paper cites Dauphin, Angela Fan, Michael Auli, and David Grangier.

Compass-V2 Technical Report Dauphin, Angela Fan, Michael Auli, and David Grangier

Reference 19

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.770172Z digest=sha256:4528dedc764afb351855bd91150d1157309816c4f60c75dc304bf4d9fde0a415

Observation dbe5983b-e370-44f3-b346-0b68dcb7973e · outbound

This paper cites DeepSeek-V3 Technical Report.

Compass-V2 Technical Report DeepSeek-V3 Technical Report

Reference 20

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no resolver link, observed 2026-08-16T11:28:01.773275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.773275Z digest=sha256:76489967d1906f1dad003668274f9fc55a0287aab7dd476d6b1ba9e929746dcd

Observation 726e7ffb-f7b4-4408-917f-42c1c7ad7c90 · outbound

This paper cites RLHF Workflow: From Reward Modeling to Online RLHF.

Compass-V2 Technical Report RLHF Workflow: From Reward Modeling to Online RLHF

Reference 21

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no resolver link, observed 2026-08-16T11:28:01.776637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.776637Z digest=sha256:b72cc9af760751e8b020631df3eabac74fd0e07a0fdc8422da54c9c08f923149

Observation 7a0d9d88-11c6-4361-ba11-09ebbf1a1595 · outbound

This paper cites Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Compass-V2 Technical Report Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs

Reference 22

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source=arxiv_source observed=2026-08-16T11:28:01.780135Z digest=sha256:7e75ab1450762769a9c7eb49c2688d7c9fb70a3c8fe06a035dde905152938ad9

Observation 41f1523b-fbed-4e05-b948-1727bb5c723e · outbound

This paper cites The Llama 3 Herd of Models.

Compass-V2 Technical Report The Llama 3 Herd of Models

Reference 23

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no resolver link, observed 2026-08-16T11:28:01.783729Z

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source=arxiv_source observed=2026-08-16T11:28:01.783729Z digest=sha256:adbf63d39e324cb36334719f86f87c9900beaf9743945aa4acfa8c84b20e60d8

Observation 280987af-c3fb-4e92-a7d3-19a1dc60241e · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Compass-V2 Technical Report Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 24

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source=arxiv_source observed=2026-08-16T11:28:01.786957Z digest=sha256:ef665f8cbd8535aaa91b79fcb13eb55f432b9a2d659a93b69ef0e2990ace56cb

Observation 0561f66c-7643-4e7f-a696-c4c450c5547d · outbound

This paper cites A framework for few-shot language model evaluation, 07 2024.

Compass-V2 Technical Report A framework for few-shot language model evaluation, 07 2024

Reference 25

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source=arxiv_source observed=2026-08-16T11:28:01.790061Z digest=sha256:4c3b3a8981e213c76d0dc69d4ba0857cbdbdfacf24da0eb4ff02557227ba626e

Observation c7e49603-e52b-4c9e-9701-513573587841 · outbound

This paper cites Gemma 3 Technical Report.

Compass-V2 Technical Report Gemma 3 Technical Report

Reference 26

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no resolver link, observed 2026-08-16T11:28:01.793522Z

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source=arxiv_source observed=2026-08-16T11:28:01.793522Z digest=sha256:6c605a5a18bcd6875d1f89b8f4003ca6657356b52f1f083c5a8711a3510ac9eb

Observation 81db6a99-de88-4f94-b5d5-5c29e321b5fc · outbound

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

Compass-V2 Technical Report DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 27

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source=arxiv_source observed=2026-08-16T11:28:01.797127Z digest=sha256:c125a16c66b34ef6402d839e01775eb49b128c9b3de5f053dbc1d582f015e588

Observation 87367010-04c8-4fd2-888d-2c78132393f5 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Compass-V2 Technical Report Direct Language Model Alignment from Online AI Feedback

Reference 28

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source=arxiv_source observed=2026-08-16T11:28:01.800466Z digest=sha256:be7c4e5b17ea3181904130e384a774f276df4a0526e719056ca90cd20b9c1201

Observation 5ea6a54a-2864-45c1-9ed4-1ffcd9641805 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Compass-V2 Technical Report Measuring Massive Multitask Language Understanding

Reference 29

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source=arxiv_source observed=2026-08-16T11:28:01.803603Z digest=sha256:e385aebc539430d6cffa142be47cb363bfdad9a9b5c7e0722809d73fcd03f6ff

Observation 810f06d4-d65d-4d1e-8f90-36afa70d11b1 · outbound

This paper cites Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

Compass-V2 Technical Report Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Reference 30

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source=arxiv_source observed=2026-08-16T11:28:01.806939Z digest=sha256:df03615ffda48aa35b99cf2bc23f7021b45f1060f90315447922e7b4f2dcc1ac

Observation 21822459-475f-4089-bd52-0fecd4cf86af · outbound

This paper cites Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

Compass-V2 Technical Report Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models

Reference 31

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no resolver link, observed 2026-08-16T11:28:01.810244Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.810244Z digest=sha256:57f44c6e333b19162258072feebc33eff26575b1103d254d3851de3d4cdab01e

Observation 88b2fd3b-ecb5-4783-b301-6c67d4f472a1 · outbound

This paper cites T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension.

Compass-V2 Technical Report T rivia QA : A large scale distantly supervised challenge dataset for reading comprehension

Reference 32

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no resolver link, observed 2026-08-16T11:28:01.813943Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.813943Z digest=sha256:9c1f0927b998b8e687fe4b544ab50a92a58d94bc080e0210c510446b352189f1

Observation 069f23d8-babe-4447-8219-f8b932e16fd7 · outbound

This paper cites S entence P iece: A simple and language independent subword tokenizer and detokenizer for neural text processing.

Compass-V2 Technical Report S entence P iece: A simple and language independent subword tokenizer and detokenizer for neural text processing

Reference 33

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no resolver link, observed 2026-08-16T11:28:01.816665Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.816665Z digest=sha256:d8ab29d194b3e346d843c0830b1c33e67509ad2f8966db315afcfb1c0f41841c

Observation ebe616d2-d529-4668-ac3b-d68ac288eb2b · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Compass-V2 Technical Report Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 34

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source=arxiv_source observed=2026-08-16T11:28:01.820973Z digest=sha256:3ce6f8f5ac367009b695760218de50fe46c6961065d68e4580e8b7409b4bd8c9

Observation 411d3ed8-dec3-4e66-9a04-da888c829244 · outbound

This paper cites RACE : Large-scale R e A ding comprehension dataset from examinations.

Compass-V2 Technical Report RACE : Large-scale R e A ding comprehension dataset from examinations

Reference 35

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no resolver link, observed 2026-08-16T11:28:01.823946Z

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source=arxiv_source observed=2026-08-16T11:28:01.823946Z digest=sha256:50ab8fde420e069c3937a085a4b662a13fa660f6e1b77ea889a712a02aa00017

Observation 1a839830-4d6e-45d0-b9fc-076a047ce3c0 · outbound

This paper cites ChatHaruhi: Reviving Anime Character in Reality via Large Language Model.

Compass-V2 Technical Report ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

Reference 36

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source=arxiv_source observed=2026-08-16T11:28:01.827125Z digest=sha256:95325c3b3bfd8eb56d3333489747a57bb6a2ebaf0264abf7db5c65af1d9fa2f0

Observation 0a154001-d5a4-474a-8848-2b1e4da8c264 · outbound

This paper cites Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar.

Compass-V2 Technical Report Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar

Reference 37

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no resolver link, observed 2026-08-16T11:28:01.830708Z

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source=arxiv_source observed=2026-08-16T11:28:01.830708Z digest=sha256:bf9cfca23e46dafba8038a0f6f0ff9ed8f9a241b9337a9f86e574137d660b8bb

Observation 11356dff-2859-4a6f-a5c6-dc320abe0d77 · outbound

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

Compass-V2 Technical Report DataComp-LM: In search of the next generation of training sets for language models

Reference 38

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no resolver link, observed 2026-08-16T11:28:01.833914Z

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source=arxiv_source observed=2026-08-16T11:28:01.833914Z digest=sha256:c92ffeb201eb9b9bd8082b515229136229713662f28717bc20cd88239fbd28fe

Observation 8a6b935f-faa8-4d59-a1b8-2665584333c7 · outbound

This paper cites Numinamath.

Compass-V2 Technical Report Numinamath

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.964449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.837182Z digest=sha256:8a5b7c532b8fe2f8755dc5957a9e3eb7467d17cb888ccfaec3e23fafa57b0bc2

Observation 94d20969-9ad2-4970-9c6e-e06d4747942c · outbound

This paper cites Numinamath.

Compass-V2 Technical Report Numinamath

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.953905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.840365Z digest=sha256:81cc314ad44a546f7af447df5c91113e29923fcfd8e348fcafa431730f22a24b

Observation 987f4a1d-bcb4-492a-a4b8-43a5285890c8 · outbound

This paper cites Awq: Activation-aware weight quantization for llm compression and acceleration.

Compass-V2 Technical Report Awq: Activation-aware weight quantization for llm compression and acceleration

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.942379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.843546Z digest=sha256:4b65ea5d5ab253e8de437c332c23b5cf7fd7ea370ff103d716e4f0088279626e

Observation 3bd89664-f8ef-4a3e-98e4-3da5bb52d4d9 · outbound

This paper cites Few-shot Learning with Multilingual Language Models.

Compass-V2 Technical Report Few-shot Learning with Multilingual Language Models

Reference 42

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no resolver link, observed 2026-08-16T11:28:01.847311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.847311Z digest=sha256:4b3d2e2aa1a92d6a000e8f9c3dba20896790ae0ab8b2bbc3f363e06780904202

Observation cab05922-cc58-478a-b01b-95b052bdadc8 · outbound

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

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

Reference 43

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source=arxiv_source observed=2026-08-16T11:28:01.850540Z digest=sha256:890f4457ef4dd3b0785436285a2a4ac0ff401298369b004ee4902a500e8a4875

Observation 56d1ca3a-763f-40d2-ba9b-051250747c0b · outbound

This paper cites Decoupled Weight Decay Regularization.

Compass-V2 Technical Report Decoupled Weight Decay Regularization

Reference 44

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no resolver link, observed 2026-08-16T11:28:01.853857Z

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source=arxiv_source observed=2026-08-16T11:28:01.853857Z digest=sha256:d79219ac3c5f61fed1fdbb470fb12f9e5b7b2f4789670748537d926665376817

Observation 9ed27733-db1f-4fb1-8700-c5dc88077704 · outbound

This paper cites Compass: Large Multilingual Language Model for South-east Asia.

Compass-V2 Technical Report Compass: Large Multilingual Language Model for South-east Asia

Reference 45

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source=arxiv_source observed=2026-08-16T11:28:01.857050Z digest=sha256:db0371c3226ac7eb764bbcbe0962a78e684eeb5e1c9bf98bc9a1bcec12e4ec3b

Observation e7362238-541f-40ba-874f-f7b2105a6972 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Compass-V2 Technical Report Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 46

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.860311Z digest=sha256:4782e250e35b05b189ee39f524717a6c4076219245c50145dbc35c646dc04dcd

Observation 4c00c31d-7e88-45a1-89f3-13a12e4bfaea · outbound

This paper cites Crosslingual generalization through multitask finetuning.

Compass-V2 Technical Report Crosslingual generalization through multitask finetuning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.929068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.863732Z digest=sha256:4898825ad7759fb8e8fd8c80b0945b12acaeb48988a710e3037c6f2d63f0f406

Observation a60911f0-21e7-4630-892d-bc2c7f27454d · outbound

This paper cites s1: Simple test-time scaling.

Compass-V2 Technical Report s1: Simple test-time scaling

Reference 48

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no resolver link, observed 2026-08-16T11:28:01.866641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.866641Z digest=sha256:ea0b1b16b167dc8d7df419765fcfb1cbcd045e9666c8dc78c6651588c0076abb

Observation 91a1f449-da84-4e68-bce6-51ab7d061981 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Compass-V2 Technical Report MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 49

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no resolver link, observed 2026-08-16T11:28:01.869878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.869878Z digest=sha256:6288f8d212dca30177fb5535c1e95479d83b358f2c225d62cc9b28299f48a534

Observation 11e7ea74-599b-4fce-b4fb-44ec0bf44d99 · outbound

This paper cites SeaLLMs -- Large Language Models for Southeast Asia.

Compass-V2 Technical Report SeaLLMs -- Large Language Models for Southeast Asia

Reference 50

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no resolver link, observed 2026-08-16T11:28:01.873737Z

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source=arxiv_source observed=2026-08-16T11:28:01.873737Z digest=sha256:619c77737ab692721c5a0fb5c1600220ca37ad5317e4bbcb4d09b1bfedb2a3fd

Observation ff8441f6-204c-49f8-96d7-5189c9ed0686 · outbound

This paper cites 2 OLMo 2 Furious.

Compass-V2 Technical Report 2 OLMo 2 Furious

Reference 51

Resolution
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no resolver link, observed 2026-08-16T11:28:01.877083Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T11:28:01.877083Z digest=sha256:e66db8872cf4408c12a4a75d18e5a727ee5e66a8dcf7cb1a77ce2c5ce3ad36c9

Observation f9de8d56-e683-4c49-a0d3-a770c3e52e74 · outbound

This paper cites Learning to reason with llms.

Compass-V2 Technical Report Learning to reason with llms

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.916926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.880502Z digest=sha256:fa2a99b80f1cc12d4bb7027be81841c7112e82971063750150ccedc51abaa19b

Observation e3f8e861-b08d-4ed7-bb5d-ea3b78701140 · outbound

This paper cites GPT-4 Technical Report.

Compass-V2 Technical Report GPT-4 Technical Report

Reference 53

Resolution
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no resolver link, observed 2026-08-16T11:28:01.883596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.883596Z digest=sha256:8252ac44d676636da65c1ef5dc6483aae68013b066beed44f836e9523bffb5e8

Observation 3b31836c-673b-4390-b1d7-b2ac5bbcffe0 · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

Compass-V2 Technical Report The fineweb datasets: Decanting the web for the finest text data at scale

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.904376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.886438Z digest=sha256:8aa7e301b6145871a66698292ac9be006ae7df71d766aa55093bbe4ca5dba489

Observation 44b2f99f-9470-428c-9688-63364f0496e2 · outbound

This paper cites ece LLM : Generalizing large language models for e-commerce from large-scale, high-quality instruction data.

Compass-V2 Technical Report ece LLM : Generalizing large language models for e-commerce from large-scale, high-quality instruction data

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.892274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.889641Z digest=sha256:377e33d17cb795f80d5371c52ec643268842de908f704ca37f5de86eae23c626

Observation 34518a43-309c-4146-973d-98759a18f40b · outbound

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

Compass-V2 Technical Report XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

Reference 56

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no resolver link, observed 2026-08-16T11:28:01.892827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.892827Z digest=sha256:9366a27f4946b14bab1f0c9e657126928107ac0df57dc519c82828ff1a215d7b

Observation 01e77886-e867-4c1b-b6fd-66c1e7780cfe · outbound

This paper cites Qwq-32b: Embracing the power of reinforcement learning.

Compass-V2 Technical Report Qwq-32b: Embracing the power of reinforcement learning

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.880650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.896245Z digest=sha256:5e42353cf4be4240c48a1aec0358cd645794b5c0e5e7f6600762adb90780362a

Observation e579ebd2-0059-46fa-83e0-2b5757fe7e39 · outbound

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

Compass-V2 Technical Report Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 58

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no resolver link, observed 2026-08-16T11:28:01.899521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.899521Z digest=sha256:34f077ca1e2c4e02a5d979ed312e67b0b273120220695f1662a8a6c6d1b329b5

Observation b5baa21d-f948-464c-a9e5-c5e80ef264be · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Compass-V2 Technical Report SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 59

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unresolved
no resolver link, observed 2026-08-16T11:28:01.902920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.902920Z digest=sha256:5aae6fb3b1ece43b398cc4dd62ce47df236491cae24d4ad95e0840a423d70c25

Observation 31d12f54-4df2-4cf8-b97d-ad7641aa7fe9 · outbound

This paper cites an unresolved cited work.

Compass-V2 Technical Report Unresolved cited work

Reference 60

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no resolver link, observed 2026-08-16T11:28:01.905883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.905883Z digest=sha256:c25f621816a82c1d80b0102a1df7abea0c7d51953ecb1bd58d0ed52657828854

Observation e24417a7-e5f3-4d46-909e-fba9f840aff4 · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Compass-V2 Technical Report Gpqa: A graduate-level google-proof q&a benchmark

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.908558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.908558Z digest=sha256:a53827d4accd8b4c70a21a74ec9f8669721a0f6a5f8268b3394be8b0fd3cf6f7

Observation 763f14ab-ebef-41f1-9fc7-af1a384a25ae · outbound

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

Compass-V2 Technical Report Neural machine translation of rare words with subword units

Reference 62

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no resolver link, observed 2026-08-16T11:28:01.911179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.911179Z digest=sha256:652bb1c112e789cc99a8522e3a469c3c87a872a6c25164a9ef23222df001f6e2

Observation be1cff8a-cd5a-41d2-a259-2c285d13b85a · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Compass-V2 Technical Report Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 63

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unresolved
no resolver link, observed 2026-08-16T11:28:01.914482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.914482Z digest=sha256:d7fda807c97e15d96ae9b92b9c8cf4eab8104db699ea9962f0db338d920102f0

Observation fc6b8736-49db-4266-8f7d-86c087150572 · outbound

This paper cites Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset.

Compass-V2 Technical Report Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset

Reference 64

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no resolver link, observed 2026-08-16T11:28:01.918014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.918014Z digest=sha256:a2b1885128583d92498932a5df6da1f28f2949536c5c4d785295bcfa9d656f01

Observation da742dde-35af-4fee-9ba0-16a6b6fcae05 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

Compass-V2 Technical Report Roformer: Enhanced transformer with rotary position embedding

Reference 65

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no resolver link, observed 2026-08-16T11:28:01.921460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.921460Z digest=sha256:c797cc1ca0ff8963c54583cf8fd1b73dc5ebaf4132734f31fae271543cf495e9

Observation 5bbf98db-1f25-45a7-a16b-cee54e062a5f · outbound

This paper cites Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.

Compass-V2 Technical Report Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Reference 66

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no resolver link, observed 2026-08-16T11:28:01.924986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.924986Z digest=sha256:e36f11da2cd851495187fa80e4c06613a6c7941690c7f1f125292a8d7d52aafa

Observation 818dc081-61a2-48f3-9832-8cf4d4da349d · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Compass-V2 Technical Report Qwen2.5: A party of foundation models, September 2024

Reference 67

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no resolver link, observed 2026-08-16T11:28:01.929212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.929212Z digest=sha256:69bb3e80db03c90fb2d6f1153ea5885fd89f0d0de8613afb382ba7adf8478d0b

Observation 4089726e-e1d0-412d-8f22-02d1c46a8d67 · outbound

This paper cites N ews QA : A machine comprehension dataset.

Compass-V2 Technical Report N ews QA : A machine comprehension dataset

Reference 68

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no resolver link, observed 2026-08-16T11:28:01.932668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.932668Z digest=sha256:cc60f06fabe783c0dcf8b4d77044a15461792d461ada6da9c9feb190ae1ea760

Observation 106ee3de-46cb-46e9-8061-21e18945aa37 · outbound

This paper cites Multilingual Language Model Pretraining using Machine-translated Data.

Compass-V2 Technical Report Multilingual Language Model Pretraining using Machine-translated Data

Reference 69

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unresolved
no resolver link, observed 2026-08-16T11:28:01.935807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.935807Z digest=sha256:fb6cf41c9d45fe2b6fdb67c3ba7e2215ea3c5d37827f9a5af274e030fdbc2356

Observation 01c51489-a7f5-4de1-bef9-e2cfc419967e · outbound

This paper cites Coser: Coordinating llm-based persona simulation of established roles.

Compass-V2 Technical Report Coser: Coordinating llm-based persona simulation of established roles

Reference 70

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unresolved
no resolver link, observed 2026-08-16T11:28:01.939883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.939883Z digest=sha256:3543c9ca137758d724ae9872ce67d48b41c213d732040fbe78b6d2b4410eb9b9

Observation 46dd3eea-b044-4f2e-8363-0e463693948c · outbound

This paper cites Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint.

Compass-V2 Technical Report Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint

Reference 71

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no resolver link, observed 2026-08-16T11:28:01.943855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.943855Z digest=sha256:75c1e0b25d2c0ad535d959862e01db425cf7d86edb5db0b6c08c71b72717a838

Observation e07c4a97-c7c8-452f-96ee-184321141d9c · outbound

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

Compass-V2 Technical Report Effective Long-Context Scaling of Foundation Models

Reference 72

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no resolver link, observed 2026-08-16T11:28:01.947054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.947054Z digest=sha256:3ceb963069b2d6fe5afb0c7d75bc3ed1e23507e3ba86feae6e5aa632b42149b2

Observation d4e5f636-37fd-4f08-bb30-bd1e0105dc97 · outbound

This paper cites Qwen2 Technical Report.

Compass-V2 Technical Report Qwen2 Technical Report

Reference 73

Resolution
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no resolver link, observed 2026-08-16T11:28:01.950992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.950992Z digest=sha256:750bfeee446c393b6faf5af0050f9cea7e9896dc224f4a84c981ed41ad5ad9e3

Observation b1022630-280a-4836-bb7b-f5824ee38cca · outbound

This paper cites Qwen2.5 Technical Report.

Compass-V2 Technical Report Qwen2.5 Technical Report

Reference 74

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unresolved
no resolver link, observed 2026-08-16T11:28:01.954745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.954745Z digest=sha256:6b89d4883c98b7271f8962027f26c1d7ceec3941ef98262cbbf7c0dabeaf20cb

Observation 7db8d722-5246-48c8-b52d-2c4b2f2e0e25 · outbound

This paper cites an unresolved cited work.

Compass-V2 Technical Report Unresolved cited work

Reference 75

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no resolver link, observed 2026-08-16T11:28:01.958354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.958354Z digest=sha256:4f9fc127ceb8e0e32d3bac17fdffec4e955bdd11c245c25d7daccd8000c994aa

Observation b3cf960b-b0a6-4b6d-a8b1-62bcd14bfa64 · outbound

This paper cites LIMO: Less is More for Reasoning.

Compass-V2 Technical Report LIMO: Less is More for Reasoning

Reference 76

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no resolver link, observed 2026-08-16T11:28:01.962526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.962526Z digest=sha256:894a30193b3a762fba7bf551cd1d6fd3ea84830c144d297f3c11b04e583dac47

Observation a433a3a4-d352-4c4c-99cf-b5af2f41a8ca · outbound

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

Compass-V2 Technical Report HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 77

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no resolver link, observed 2026-08-16T11:28:01.965617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.965617Z digest=sha256:1dfae2bba1e5272cfd6389baadd0dc4670a6f56adabd33c74ae92e89285178af

Observation 95156191-ad29-4b7a-a96d-561cfaa6945a · outbound

This paper cites Root mean square layer normalization.

Compass-V2 Technical Report Root mean square layer normalization

Reference 78

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no resolver link, observed 2026-08-16T11:28:01.968847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.968847Z digest=sha256:c53b88a01fc1c8be3e7eceac4f4db2996e63cd52b1ff408f145d9683210f42a1

Observation 341c99e9-2358-4c56-a2ea-477e3dfb04f2 · outbound

This paper cites Chinese open instruction generalist: A preliminary release, 2023.

Compass-V2 Technical Report Chinese open instruction generalist: A preliminary release, 2023

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.850980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.971353Z digest=sha256:ffc6a1b3535e5f82b698bca833aab3c0dc0a23754b8398aa3bcb93083bf44cfa

Observation 25d589b5-db38-42cc-8e8e-e9f4be43d38f · outbound

This paper cites MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Compass-V2 Technical Report MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.974063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.974063Z digest=sha256:0063c8001c32b1825337792b0902046f1f92fe5d6741ab51796666e66bfdafe8

Observation a81a2cb4-b08a-4975-8c5d-a4ec7c6257aa · outbound

This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.

Compass-V2 Technical Report Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.976716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.976716Z digest=sha256:2b40b25ab0b542d2056c245e4d7d44badfc56e0f435fff141372caf71769a2ea

Observation 5f87b422-b1f3-4201-b25a-c7f05eefa6eb · outbound

This paper cites Trade-offs in large reasoning models: An empirical analysis of deliberative and adaptive reasoning over foundational capabilities.

Compass-V2 Technical Report Trade-offs in large reasoning models: An empirical analysis of deliberative and adaptive reasoning over foundational capabilities

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.979820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.979820Z digest=sha256:42309418c026d774b9ea360287567341f250329dd70c48dca83e988fb2c74a08

Observation 01243f5f-154e-4301-8805-b41d7edc2f69 · outbound

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

Compass-V2 Technical Report PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.983081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.983081Z digest=sha256:1aab297ef75ca2db26258c3d4ff7c5dd7090e4bd443b5f11b840b5955bf1978d

Observation 5d248b23-0099-4fa7-868c-d30f5e906434 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Compass-V2 Technical Report ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.986592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.986592Z digest=sha256:86a6b82826fcd0e4bdfde511d1c0f78d6931bc7af2d0bc6c57f0c00b221b08b9

Observation 8e705cfb-a3a9-475f-b7bb-e73160bb4879 · outbound

This paper cites @esa (Ref.

Compass-V2 Technical Report @esa (Ref

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.989991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.989991Z digest=sha256:4402bf43c20b68304a921cccde34a2020c4a8e3cbeff565b1ef0232f6dc7fe62

Observation c3d56dd1-b9f5-4099-9e6a-2b122bdc4ab7 · outbound

This paper cites an unresolved cited work.

Compass-V2 Technical Report Unresolved cited work

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:01.993772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:01.993772Z digest=sha256:76028eb8d46f1a351d0b48dab2a574a97b3852de71acf94fa2c7b20c3d6b84da

Observation ad4f7f08-3f87-47bc-9eff-8f69bb7c763b · outbound

This paper cites Please summarize the following passage in Chinese, using a formal tone, no more than 50 words, and ensuring that the keyword ‘artificial intelligence’ is included.

Compass-V2 Technical Report Please summarize the following passage in Chinese, using a formal tone, no more than 50 words, and ensuring that the keyword ‘artificial intelligence’ is included

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:28:02.829229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T11:28:01.997075Z digest=sha256:85ce0b25d81c89fce2041149705552c933e512c99ad3aa52d02c3769db3a0280

Observation 0fd69cf0-bc15-44e7-bb86-cdf7e0ad2eec · outbound

This paper cites , " * write output.state after.block = add.period write.

Compass-V2 Technical Report , " * write output.state after.block = add.period write

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:02.001178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:02.001178Z digest=sha256:f192f8785904d8eacf7b789f482c7f3ce54ed39e02fbd4f26268b0ea0494fe4a

Observation 3496e062-00ab-41dc-b116-a11010a2375e · outbound

This paper cites write newline.

Compass-V2 Technical Report write newline

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:02.005029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:28:02.005029Z digest=sha256:f863379e850fd84c4d8c12a13eea1f2f91b4df7d04d973cdfcaafd44194d2289

Pith citing papers

No inbound Pith citation observations are available.