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Paper Citation Record · LEDGER

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp

As of 20 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2607.10557.

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

pith.paper-citation-record.v1
2607.10557 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:51:16.019022Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact1
  • verified fuzzy0
  • unresolved88
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c34d1109-8306-4ccb-9350-2944d6b0fd38 · outbound

This paper cites Scaling Learning Algorithms Towards.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Scaling Learning Algorithms Towards

Reference 1

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:ede6a6b8fd7aaadd645de61d6f8b998aeb64b503322eb8532d13ef73bed85605

Observation 620e21ee-883e-4f29-a6d4-f7b6f1b62c16 · outbound

This paper cites and Osindero, Simon and Teh, Yee Whye , journal =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp and Osindero, Simon and Teh, Yee Whye , journal =

Reference 2

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:3aa5b47dce92d5e8b93b6d91a2a00170d341329250958329ee9c5cf123a367a2

Observation 06c7aa2b-ee00-4e9e-940a-8a7d8a908081 · outbound

This paper cites 2016 , publisher=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp 2016 , publisher=

Reference 3

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:9a36ddf234f16785c67035a4616ea34d1922169caa83f120ad794b68d3aa8fe1

Observation c0869465-9e11-4f8c-bee0-5d00073c2cfc · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 4

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6ba07243543b0d35d1f4e93a48fbd3c20e6a1408cb82d525aa764e7d998c51c5

Observation 1498b5e4-839d-4439-9266-7ebf3bdaad0a · outbound

This paper cites BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Reference 5

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1bf63e53c53ea70850d012433843d8e778a3116f61d7ed19b8be125b56b1e7a3

Observation b8b269e2-085e-4f76-b0aa-791ec2358132 · outbound

This paper cites LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Reference 6

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6f51109d8d3bdca427d4703f16f215e1bdb367882b58938eea0dcf3b2f652319

Observation c11ded3d-8e89-4eb1-a917-77e5c32b30f3 · outbound

This paper cites The Llama 3 Herd of Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp The Llama 3 Herd of Models

Reference 7

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:399f95c44359d90a387468860f349c87a42e539c1a282dbfd20d1b9e929707c6

Observation 7f04727c-3ba6-4829-9adf-6282517efa57 · outbound

This paper cites Qwen2.5 Technical Report.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Qwen2.5 Technical Report

Reference 8

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:a1d667e4ecfd9800d3640a69ac2835d5106048925f866591d11993aef56813fb

Observation b7ff583a-5006-49de-a76a-83ec49c69552 · outbound

This paper cites Claude 3.5 Sonnet , howpublished =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Claude 3.5 Sonnet , howpublished =

Reference 9

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:bf4e7a26763bf266e85173f6a68d68e83c4bc4af9eb7a36cc5673bfd5210e8cb

Observation 6201bfa8-096a-42c6-8283-761f274259e9 · outbound

This paper cites QwQ , howpublished =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp QwQ , howpublished =

Reference 10

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:dd8d28a5068f3a434373960eb202b5a67adfbdf62468697bd6f082a62462f768

Observation 51f9a2a7-c6a9-4d24-9611-6648838aff9e · outbound

This paper cites Hello GPT-4o , howpublished =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Hello GPT-4o , howpublished =

Reference 11

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:4678acdbc55e7956a883460fcef05981870f988ef05439cbefc2037c6602dc9b

Observation 1fbb5e40-3802-4b1f-a2c2-5f1ed515d08b · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 12

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:de381005314e69b5f097e6c3cbf34703f7b7ed2f27b722f4ed76eaf2d636447a

Observation f1d6a8f7-e8da-4695-b504-ce373477bec5 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Transactions of the Association for Computational Linguistics , volume=

Reference 13

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:55196fac812f5fe9d0ec98824f666ec8f6385561e78e6ddeca85f83b602a34ee

Observation 0cf885d4-998c-4eb3-a0f5-2083f0b4e4b8 · outbound

This paper cites Qwen2 Technical Report.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Qwen2 Technical Report

Reference 14

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1e6fcf076d54b4d3b594f100907fb7a5b20aa1aa81bbbd24f91e2d71d65cc23b

Observation 51663997-7bdd-44b6-b60c-1dec448f0ba9 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 15

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:13fe4ddafa21814d17bdc2656079de495ed732022c50f7e2e5c7691bd6b72f36

Observation 04829529-6ee2-487f-bc6f-849892b168f8 · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

Reference 16

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:20e2b3803abc9218ee15de56eede743007015ae7465377d85052d5d25478af99

Observation 27872e3c-fd83-462c-a6c8-8cddbc9aba1b · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 17

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:9960ef4aae20191339dc91294dfb23cbbff475197b3344cd469494fa5776384b

Observation 18ee08c2-d68d-40db-9a3f-06d5021f567b · outbound

This paper cites arXiv preprint arXiv:2410.02660 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2410.02660 , year=

Reference 18

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:5251c28ffd736f24b0de95263700288f92440a00675b80c07d54eab5b85f342f

Observation 150f57e6-bd40-46d7-8645-933caf5b80a6 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Forty-first International Conference on Machine Learning , year=

Reference 19

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:86a33bbc0dd390ac7831300fcf2beb42c998c401bc1af95ed3529ef3229f8060

Observation fe266b5a-09ee-497a-a72d-1bb97e55c376 · outbound

This paper cites Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models

Reference 20

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doi, observed 2026-07-14T11:00:24.757145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:092cb57c49852e48eea55b74682c21af4660d08032df4b3381799dc10ac64bf4

Observation 5e1d8398-f1ad-4169-bd84-ab4eff380581 · outbound

This paper cites ArXiv , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp ArXiv , year=

Reference 21

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6414b9d74146e3215cd8a7ce6f8d62e4cc1f6b1992f3cdc6c82901146e41b9ac

Observation 4dd74d48-0869-4816-94d4-fb91ae27fc1d · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp The Twelfth International Conference on Learning Representations , year=

Reference 22

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:f1c3750d4114238fc34fc5dee79bdc6f6ccf5006ac991d5d367c721b9afe9c41

Observation ea48fdef-16f7-437c-a1a1-8a251feec6e8 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp The Twelfth International Conference on Learning Representations , year=

Reference 23

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:196bc473145d34cfd0a223ce2a617f4264668395bfa3666fc66d8044719a342b

Observation 89c1f256-1e71-4406-b36f-0bb074241bbd · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Effective Long-Context Scaling of Foundation Models

Reference 24

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:c6327b3d1f0ae19f0816d430487687132989b1db478c3f23e658cf6ce564191a

Observation 88b71273-0442-4cf6-8340-fa5711efa027 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Forty-first International Conference on Machine Learning , year=

Reference 25

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:d6c4f45ef1c44a524e59a64c521784f57a5fe796098c4d6449a3f954839397bb

Observation bbe478f4-e164-4e8e-842f-b16ede59b3e3 · outbound

This paper cites an unresolved cited work.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:fbcc67e5a7db76def40087479f13e5d23dac537841cfdf1f646498193fcfa637

Observation 056ea980-8adc-466a-aaa5-e936555b024c · outbound

This paper cites Why Does the Effective Context Length of LLMs Fall Short?.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Why Does the Effective Context Length of LLMs Fall Short?

Reference 27

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:70c3cc541ba818e1e5459f2df9cc2ce24594142ccb6f0707eca0cfcff681fad3

Observation 3dfafc7f-8cd2-4dff-a1dc-2a92266864e4 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Forty-first International Conference on Machine Learning , year=

Reference 28

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:c28095d9fda2b7bcc2aae9dd54339513e77fda45c52063f3860629d79a51174a

Observation 29a87f9b-cc21-4bfe-91f0-93eac7596c3e · outbound

This paper cites Bootstrap Your Own Context Length.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Bootstrap Your Own Context Length

Reference 29

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:c8a0d8bbadcb5ea64735a12c8a41c9368c904782820b2b9dbe50b782ddcf3879

Observation 54b9b349-2169-421f-91a5-13c4923e9d18 · outbound

This paper cites ArXiv , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp ArXiv , year=

Reference 30

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:fb64926fbe09cf483f41b5ea8d761dad8e1bb61d0788f40457c16cfcc3651331

Observation 0a6044da-2cfd-4790-a915-ffd258b14443 · outbound

This paper cites L ong A lign: A Recipe for Long Context Alignment of Large Language Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp L ong A lign: A Recipe for Long Context Alignment of Large Language Models

Reference 31

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:cc53c426aca8a517d2e86deb51dfbab63584a2a2f26ccf04c61b6e0bf22a53a9

Observation 8536f588-42dd-46b6-813f-31339ba4c6f7 · outbound

This paper cites Long Context Alignment with Short Instructions and Synthesized Positions.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Long Context Alignment with Short Instructions and Synthesized Positions

Reference 32

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:7af1370cf8ba1e1e0655b658b417135b25b96b57932a30515c820abc5474fb98

Observation 56df2b4e-3d30-49d6-a7a0-236efba2b9a5 · outbound

This paper cites L ong E mbed: Extending Embedding Models for Long Context Retrieval.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp L ong E mbed: Extending Embedding Models for Long Context Retrieval

Reference 33

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:adf3ca30255b7322896ea2f0dfbc7427bd2a65ced8324e43ee73e2539da91781

Observation cab16a1b-cb9c-4eb1-b28d-db25b91d52f1 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Long-context LLMs Struggle with Long In-context Learning

Reference 34

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:bf70ff2e1cfbcd42515e8414fbbe7db68bca2ce27837785c39e7df5469ac5223

Observation b1939949-deb0-4db1-8b64-6757214a0c60 · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 35

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:dd6f3cb0dad47011dd88c228b43fdf0ae61b9963e76f25d6c20914aea9012f9f

Observation c60fd9d8-b0ce-4ea3-8811-0cc5b03e1d88 · outbound

This paper cites GitHub repository , howpublished =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp GitHub repository , howpublished =

Reference 36

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1f0822d8c91ae49d57f330bbe896d41ca2d109f6b703340f4ca996f8f246cc21

Observation 224ed149-0e87-4633-88be-d00e2d1ae4b8 · outbound

This paper cites an unresolved cited work.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:f49a4f42794c235aea684f54072c2520996f223c880b4b689b3a8280dc851898

Observation b56dfeaf-5174-40b4-b3d9-17723544b958 · outbound

This paper cites an unresolved cited work.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:a3126ec72fe279b733cba9afdc2dd982bfa242d84e788671ddad0dd618af61bf

Observation 1bcb6884-f4a4-4dcb-930f-80db4f29fdf2 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 39

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6550140c04e00315ff95b7971692ea79d160fe334710adfd2bb321e5fc00e08e

Observation 98df491d-4780-4f9e-9cc5-a0fea5e01a3a · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 40

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:2bb5757e2c5e23db0500da1ab631aa6355479d166c9d6b13235580e1ab504277

Observation 71ecdc42-6249-41b0-b95f-3cbf381a899f · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Reinforced Self-Training (ReST) for Language Modeling

Reference 41

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:f1bcb643b025835e86f746e1421c17a3cc685e73df764dd8381f97c78e345bec

Observation 6795dd9d-114b-489e-b090-470096954f5d · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 42

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:d69ac35194c43a305bf25622fcf30c05d25738bb243c5e1bca3a1a12d11245ca

Observation 13dd479b-e987-4d72-adad-948b0c3a7dfb · outbound

This paper cites Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 43

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6c0f428b9e1d3aa032051ebdfa9f31e48085a8dc254a26254bd2d3321d0e9450

Observation 1725a611-9fe4-4818-aec8-d5fc573dd06a · outbound

This paper cites Large Language Models Can Self-Improve in Long-context Reasoning.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Large Language Models Can Self-Improve in Long-context Reasoning

Reference 44

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:aca2634d7060d875aada4a851ed9470667e1867345d1c9be985bd399c80b9bf4

Observation e913cb86-a34f-44cd-b6c4-62121eae593e · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 45

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:23284ff12b2421446a231f0dad1e7419b9297639a69f4757fd522810830da51d

Observation 3250d425-32de-4426-92c3-ee1e883716d9 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=

Reference 46

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:836541932eca040ff39a13f90c609e63db0556f14abf27280cea38d682ec4461

Observation 9d3ebc1d-2674-4e61-b3d7-a97ec6404887 · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Advances in neural information processing systems , volume=

Reference 47

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:8be82f187ad7c7016a29012d13dabe290f2db18346af657ca0872e109a4056ca

Observation 0728c0ae-9b63-4694-abf8-a6a8f30fa70f · outbound

This paper cites The N arrative QA Reading Comprehension Challenge.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp The N arrative QA Reading Comprehension Challenge

Reference 48

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:944127bb432027e9ffd00fb7cffe49871553c8161c33404a507ea667c4a10b8b

Observation b59e2548-0f6f-4bb7-b82f-8d9b214de5cb · outbound

This paper cites Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 49

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:23ff0062b6d0422a9ae3dcc3d8809da7c14b5fce44d5be3f31186fd13ecd02c0

Observation b12ba453-b792-4945-b278-2cbd19771e05 · outbound

This paper cites Long Code Arena: a Set of Benchmarks for Long-Context Code Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Long Code Arena: a Set of Benchmarks for Long-Context Code Models

Reference 50

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:b8c68da6a65154d436677cf3332aa86bca0e7c7b696d0f881523a1abae184020

Observation 0cece066-16d3-4ea6-83fd-1402e1bf2096 · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Advances in neural information processing systems , volume=

Reference 51

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:c53f0795ff7de134f262509c11d30d4dcf50637ee3a3d9c17caf52d6ceecbf2c

Observation 6350ac3c-29eb-42c5-bccc-5538ef336a8c · outbound

This paper cites Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 52

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:5fa407c1a92abc3e04a6a969fc2d26b9bd68b6d869f55b25847c06928782b448

Observation 5f610895-aba7-4b7f-99aa-6711f5f9863b · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 53

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:0118b3e9bb7ab89d76104f177e9e4fda8d7cfbc75a596fe726c9bc6a04183076

Observation 319a8a7c-040d-4092-9fb3-08347f9a0211 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Solving math word problems with process- and outcome-based feedback

Reference 54

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:3e6a81e049fe67d513995b1e39f83b95b043d3d3af98f9558c5b2dbbeeb3c8e3

Observation 4224d6c6-e5a2-4552-addc-cf7c49fb2488 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Constitutional AI: Harmlessness from AI Feedback

Reference 55

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:c88f055ed1879dabe1e54a68669136f78e5b6598e7db6727b192d001c66ce53b

Observation 7aaa31c2-7101-41a3-954f-e04bd9740c6b · outbound

This paper cites NoLiMa: Long-Context Evaluation Beyond Literal Matching.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp NoLiMa: Long-Context Evaluation Beyond Literal Matching

Reference 56

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:e04d1f441190b2a7d6f981675765ffb509560dcf2888e7787224a8e02ee29e5d

Observation efded7db-8a18-4cbf-965d-fb24a2bd8b5f · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 57

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:ca6d24848dec9ea3e0ab9771a916bbc27bbe495fdc30ae128f089f68d91532a0

Observation 38ffeaf5-fc78-48d4-afc0-845f87cd3f3c · outbound

This paper cites Let's Verify Step by Step.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Let's Verify Step by Step

Reference 58

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:2160cf1f1f93f1eade338a985801c0fe7f6d154aa8598707244ba5288e8bd954

Observation d1891841-558a-484a-9f41-1e0318ad6636 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 59

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:38b6751e118bf901845d7c00873c4dd30ef7358d419fe9452278fe8174bb0f28

Observation b9585243-23c5-4e58-bd5b-1f9998ce5fda · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 60

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:bb715c92bf4572d863b9bcd5764c2fd13b05904ba892dfdaad11200eab0118d5

Observation 727f55cb-a93b-4233-9479-2150cfd45763 · outbound

This paper cites an unresolved cited work.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Unresolved cited work

Reference 61

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:e911f6806f8c0379268e5e6c3e87b6f943f7a115a82fc11cd2288e8668eb067e

Observation fb9dc016-ec85-4238-8f2b-48b5e0fc9e66 · outbound

This paper cites , author=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp , author=

Reference 62

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:127af1691ce1242c5a9e520eedd975d5ab25978d380378ae887ef7277341f5a9

Observation 41e3416c-31b5-4e88-9682-de233f9db5ae · outbound

This paper cites Generative Reward Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Generative Reward Models

Reference 63

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1ae2a51f989d281abbecd6297116466385b00f44b6298e60b022c384419b05d8

Observation c845bb62-4ffb-4dbe-affc-be7c78b37f10 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 64

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1cc009136e293ac5c768bf77e3cd12f9ba0347160d9e933b6650b1414b4a0532

Observation 3833f1f3-afd4-4978-88bd-ec90b3f2f2f9 · outbound

This paper cites arXiv preprint arXiv:2504.02495 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2504.02495 , year=

Reference 65

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:4b9448185e81e690a82e2c0614b6715fd3bd5062582003108b7c4b074b748ed0

Observation 7bad14c8-4250-42d8-9a0f-d0797780740e · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebGPT: Browser-assisted question-answering with human feedback

Reference 66

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:cf5286fb857a0ba4dff4cb8587416e52c3e5e82b547d7568e700f1da6acf659e

Observation 274847a1-cab2-42e5-91c7-c652744e2bac · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Advances in Neural Information Processing Systems , volume=

Reference 67

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6423776667c194210e1e9c09d3b4c4296ffee21a997dbff230080998c5c072cd

Observation 2576eebb-d1b7-4e2e-a076-090047dc558d · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Advances in Neural Information Processing Systems , volume=

Reference 68

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:72cd4b07968e050387224714e96a6057861ff147aa327a0a8abebf9fcc8b57f1

Observation bc7420a7-6b61-4909-80cf-99fbe1ba0f58 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 69

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:36b52d016e40eed50daf743cddd468048da67d93bd1aa12e6d10223da05aa9c6

Observation 35fc148d-bcf6-4594-9587-3d578657dabe · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 70

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:cae8379a88e0c05d4138f38eb508e0e4102f530cc86a0f5d93d98319816bb9fe

Observation 98f0733a-31c7-47de-97cf-acaa706279b0 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 71

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:659db35f1634012f091302485411eeddcc7c66212f97715476633ac89ce5e324

Observation 3307efb3-a7f1-4fee-9362-b6166c78c5f1 · outbound

This paper cites WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Reference 72

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:fa082cd64f6df310823dd411059621d1f0b5a95b26269b1a32a8c648e8fb581a

Observation c8391ff1-18e7-4f1f-ad52-56b6d6402306 · outbound

This paper cites arXiv preprint arXiv:2602.02185 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2602.02185 , year=

Reference 73

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:427c00390a3820249e5caf2ad09ffeaa7e99613b649592495cf96e0af90e0d2b

Observation 3126764e-1ff4-48eb-b4c1-93579dfb469a · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp ReAct: Synergizing Reasoning and Acting in Language Models

Reference 74

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:9eeddc714d20155948419588600a15e3bf66457132b259b227e03943f6cf4737

Observation 5b6b6667-12cd-42fb-a7e1-44adf2380494 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Kimi K2.5: Visual Agentic Intelligence

Reference 75

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:6cc6558cad31a121ccbf9725e0ba3bff5f674db052086dff93ae69880ccb3553

Observation 913c948b-4ee7-48e7-b289-c161380c0f05 · outbound

This paper cites Qwen3 Technical Report.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Qwen3 Technical Report

Reference 76

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:a9a3daa2566bb54337e1041c5800298340f432158d51c7cf8be0d046d27032b3

Observation fbecc12a-e171-47fe-8fd9-57d7e015d9c7 · outbound

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

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 77

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:e1f933eeb9e41c061d3de4f4a3dcf254286b16c71e34f479936f77cbb61f622b

Observation 3c4238ba-9483-4487-848c-d9f369aca06c · outbound

This paper cites Qwen3-VL Technical Report.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Qwen3-VL Technical Report

Reference 78

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:fe793d7d17987001032cb6a077d6e187cf61d9630e9d0af9d8f94bf133a4772c

Observation 70375b14-3a3b-4808-980d-f2bec136b731 · outbound

This paper cites Qwen3.5: Accelerating Productivity with Native Multimodal Agents , url =.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Qwen3.5: Accelerating Productivity with Native Multimodal Agents , url =

Reference 79

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:14ae40511433d19462bb73f76908c11db3cd20e3e79a6f545d827f3f43e87b67

Observation 156df05f-afc8-4486-95d3-51b1d0246eb8 · outbound

This paper cites arXiv preprint arXiv:2512.02395 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2512.02395 , year=

Reference 80

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:b9faf490b5436d5c02a6e7e3138206bd16e9eaeced24689432803555a7082f22

Observation 00a2972d-55f2-47f2-bdfa-ebdb29a61646 · outbound

This paper cites EuroSys 2025 (30/03/2025-03/04/2025, Rotterdam) , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp EuroSys 2025 (30/03/2025-03/04/2025, Rotterdam) , year=

Reference 81

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:1dd70012f65dbd6e56ec570511a42481a98d48d64052c885873ca06b7610a5c8

Observation 0605d5af-1a04-4902-8244-c00b060f8450 · outbound

This paper cites MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Reference 82

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:0b2b231c28b25482eaa22b04dfc81d75ac3d22eb04a70de4281c0e826994ede3

Observation e3662f42-5ef5-414a-81a7-1e177f4e1542 · outbound

This paper cites arXiv preprint arXiv:2508.21475 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2508.21475 , year=

Reference 83

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:51a4a30fcd6118f2f1e439c3a948c09aa04de28d60493fa770f7b1c36dec2d93

Observation 248690bc-edd4-444f-8e01-b935fc8700d3 · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 84

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:bb8904be6ec7513967fa58999551b3e67fece60d169ee6e3c946abffa088fef9

Observation 8f738df4-6696-4592-8c6d-2d034cfba0d2 · outbound

This paper cites MMSearch-R1: Incentivizing LMMs to Search.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp MMSearch-R1: Incentivizing LMMs to Search

Reference 85

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:86ccca587e3bbe8da2aa3f66fb52f3aaf3cb1cb15d48e0e30f32b4b3c9a6a2b9

Observation 01856b63-e2fc-445b-b291-bf7e09ba3ab5 · outbound

This paper cites WebSailor: Navigating Super-human Reasoning for Web Agent.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebSailor: Navigating Super-human Reasoning for Web Agent

Reference 86

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:8332f3b1311248a75f2401eca96bb7f269a85c00f02b2f5d63582a32ce888f63

Observation dc2d4eb1-4445-4a01-b83d-27c07bea39f2 · outbound

This paper cites WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

Reference 87

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:b31d07c57d60f00d361b9b7d3ebb3d9cb1458897d247b1c34d300a6224baf821

Observation 55346640-7d89-426e-b74e-b4d4e369cf4f · outbound

This paper cites arXiv preprint arXiv:2603.15594 , year=.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp arXiv preprint arXiv:2603.15594 , year=

Reference 88

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:ee8bb4dcb37f8679de33ae460df1d28f3aef61254fa847575d9d8e445f6db6aa

Observation c18924d6-2ee5-44f9-a414-2311ab227855 · outbound

This paper cites Tongyi DeepResearch Technical Report.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Tongyi DeepResearch Technical Report

Reference 89

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source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:02517e8e6fb36cc38f90b5715467f66c4508e283b102c9fcf1b9b7ee5442da20

Pith citing papers

No inbound Pith citation observations are available.