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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 2026-08-20T06:33:59.587034+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=sha256:1e7c9932a8d9be6592400cefdc0d593f6af894a4949e5297d72832e2a6e05875

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:aa70c22148f1b0995eb9ecca17c640687757d4439eae5e307f5fe559634003d5

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:ef020572caac37e03d55383e1028c9a6aca0f75d7db6c84a5a2eadfa99d90749

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=sha256:26a01320442b391d02b68e32bc79f6750b14168cbf476d2eb39f2380bacc120f

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=sha256:4bff874c5dbb0980d5cf9436f6a219d8874bee8010f4f1d316bc8e4c0a6be338

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=sha256:37d09d35d067f7f55c7beddc38ea968a26ab22718a863b7de7a434846604d7cd

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=sha256:7f129ccfffbfd387dbbc7afe213fe90f57d9d7fe784805fe81736ae51104a9af

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=sha256:4c6f06a8a2e0c9daed90da7fd983ca712d38756a7a3d738dc4225c2c09e3f9ff

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=sha256:814da0389ed39913d922067806f5b741c399f12eb09d8040bbbe9f8916df749e

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:e6af35445f10ee5e89540984542ee89f94fd2c1f92d173c0b562247ac9f7bcb4

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:b9e7610dccee50f39d212dd7211da0a97e7eaec6c10677e65f562784ed166bf3

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=sha256:048b90c273899d937191dc9cfc8c97628d83cae71d70afd04e886653f48e1d26

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=sha256:2cc7f2ae35de371363f843c7defaa3b019ca7e9c53660997eceac0ba1678d66a

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:ffa30825c8a4af212457334a4467f256471a1fc01f3a876b5d513d01dbf30e65

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:caacc9adb020347d1b16e6fd5ca7cc59fd7d7eee55d249c7302b8e5255aaec22

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=sha256:0f87299bd5de14311f2299e280a6df11a54736ca411bbacd5c739af22de6329e

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=sha256:3395d383cb09106f08f6d4927c7cececbc4e3bc360c8f0dbb1ee884115dd46f2

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:c6d45eaee64df58eaaecfea8afc4466b462acbbe487acff09e410cef0f6c9303

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:b7a1219fbc6a1112f69b84f4700062c5eaec6883ff0493381d92602575f7e189

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-14T10:51:16.019022Z digest=sha256:dd5375a6093e1281dcc4940c639b1b7f39d5316a453bd6b6e43ed3c2f4653beb

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=sha256:6a95eeb6d8e369c0e9fe5d3d5d1e6618e810ff0d09ed8e7d10892921503f3f2e

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:fa02b97ad1ad63b8e8927c82addb1d6958772b03057096adf6e9e20e4f36cc8b

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=sha256:2eba68702b1389c110a9168d590e61c3f943cbefd1111f487a3711f0cb615cf9

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=sha256:72d6e19e37ca656368eb5abf29b964c498411722bacc0a3e94b61423829fb619

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=sha256:280925bb07d1f36df9b4f5436ff638bde001d2c5d3ed9f474da0766cd2f22aa1

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=sha256:300d36ee268b02bfabaf3998a5962b1b08a6d8c4857fc13a8354250fb7a90465

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=sha256:615d91ef50aceff2353fc029f0ac021ccff65b4f23eb414beadbdb52f50267cc

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=sha256:3f595a09078daf9b21cffbc423f3061fbb12fa6c658fe7690dc7f5e53064f10b

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=sha256:0d99c95ffd1d3b55d1f5a0f6692a74b11db9d815fa056c5a04a146ce9add717b

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:f9f8faa3468cf119b298dd1703cd344f09796861d96ca062e3b667dda1032fe8

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=sha256:282a0bf452c8d469999f2ac9956f0e210fd22fa029d77670b8e66ff921f919c4

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=sha256:4eb7d6eadab530b0a36303d0826052382628f38e763e82cba423b2b22c34e135

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:eb17730b400d34bbefb34b46d1d0eaceb482f51149d9ba97f59e9bc09d9f874b

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=sha256:9aec33f2d65f05a66cc547a67209e2ec04c297dde6857e59295b1b7f87d31353

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=sha256:7c41116b387a62a50101fa5db5da68753fd0b67bfc1fca7b32122ad868ddbcf2

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=sha256:9bf977e9d8022d43c5647661bf14b876790afdcef15e2e2432a5a0ed288fce30

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:ecb87d2dcfc45791498104d3ee21c4cfb99e5c64abc6ae1120d2211d83697673

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:cf46ece4accb938a1fa7be5186c2109494d999c38b778ede6b2d9915d70e4e6a

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=sha256:739a5812ba4ed685a529e8868cb95173a42b4598cea85ff6b715df4085336a02

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=sha256:1d0682d384fb0e7415c6da964cf2dfe9f77c76f297bcd92ba23af126be29b825

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=sha256:72e51f92bd8a9f8a1d268ee74f23522442e4dda34d39a1d5e5a86ebd8f569f3a

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=sha256:373386c46d13a2ae268772831b78b023625c8c2936a86509ff8c27e6e5ad5702

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=sha256:1707989de1c4d8d4f72ab70c01515a82a186d93e905b49c4ed3c37210e2aaaa4

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=sha256:855ccf8166552f086784db59321b3e6ebd9c0d85a1eabdbf7db8cb21b43e0750

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:f24e79103240ba8e06203f6ae2d151559a2986b8e765c046cdc6bd95afdd1d6d

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=sha256:3b388a89e5d3339552ade880bfa1e8cbd65b5be1c4ca01696c5fa1212c1f6a09

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=sha256:2d7c0539bdb2d413f305ad421e26df7ad293f09e404d728d3f755c91b30c0061

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=sha256:44614b448b222217e2a654d78fa30d104322ae738ea347b44f2b8bef90756284

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=sha256:046035249a931a7fbd08260b0d3d73e587071b131ed9a3802d9bdad666791e7e

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=sha256:3fae15e63b7928156dd4103d9d03b158d6db23156c626a784c22bac156987455

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=sha256:16679286d3136f6c4c28c4768ee4c0bbff66747365455ee1b43750989ff7c12b

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=sha256:9372fad7c69031cf2d1fc941e0e1405a34da974ed0a38e4bb22dac79d1f829e3

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=sha256:2f16702ca83334450ac7ed2fd60a48701cbd9255fbaa5bb4b204f9b573e2717f

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=sha256:0d5480f15e26de8f98dc20af25c530b7f7fab9ebbfc44f9c1db903b5f01747e0

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=sha256:120bf702360671405df2d3015686bc52d2391c30aa1367a57d1554dae5194be6

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:a93fb8a917cbd8f3b577d3607a341da7d0aec1aaa706b724efb200ff1178c636

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:c3c3b895ab334a90e6c01fe23a7b8df167c730b9b46d79333adcdf6d0ef5d406

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:a11f89f4ea8619f875844861389617635d3e64511bc7bd0144fe4735bd7032ac

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:c4a6e4e295ba97bbcb70b6f247f86ef53b3a90dc8ccd2919cf215dc39556c6bc

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=sha256:8c07d01ad4d8e2446fbc788b9a36a470f8bd56cec3816208baff917f9bfc6810

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:b9db757f7ecb78b677780fbd863c071d7cb3185f6a4a9f9d5df1906360a04c9a

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=sha256:1200814b6c45c4d07dfc8b4d64d1e601da859b0025c7753e7aa2a27eae55d9d8

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:b5caf118721108849c217cdddc7ebbc32b87031911eafe4260015d441ea51782

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:b8ef014e2933185fb6a80def2d176539e4ad3c54c47d8cc3b67324b7d59ab247

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=sha256:12c1908d6fba9d89985e81c2ef9f30318890f26164fdefbee4bf9dd7c57b6ec4

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=sha256:04d3e519885a7b2a14efbef433828416e142538bebd290df973dee40bf5a8dc9

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:f848e3fd0eb7db5d1a2a7723e562c437d9a8d9e16567eef1527867fb55667cef

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:b1f37f4d5f29a995f2299e307df6343cd37d82cfec906323f4edead8b70b00c1

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=sha256:7596e943e0f94c6c45ee22b6a291a0eb284f904793f2596e7f052492fdb1ff48

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:ab9fa298875e88e664288007244aad7e63690e33e25a6a802e8bf949acc4c347

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=sha256:9cd7a20495feb4e95241ad89c19c26963924d8d501433c74cfa7b0c45cb03311

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=sha256:23e5865cc52c856239d3eb1d6044e4bcdbd97c7bc9e48115c9fe6d32e7094313

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=sha256:2546bed2996fcb8f45d7cd2eaee253cf8cd264a1b2991cde83763d07ec3f6795

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:cf28a01f41ba14adb2889889040bb3e1b1b5e55033dbcabbb04f661897a53cce

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=sha256:29b86cc74ab2d4f8d02374ab23c889d27b49f7de955a5b8c4d9559c4892b154f

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:ac5f7d93c5ef1b8b0e2d6db83e0b9d0da200670341af26ce58177e2af071fb11

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:feca06aefaa235040dc5ea0cb6c3c418b39ade112ab8afb467abaaac6ffa4ee8

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=sha256:40c51fe397037aca20898be7738588ed98161f597143ce1398ced8d9fce78aae

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:e2c80f6abcf1e762be5287355e0889defb114beb2fdabaec899e00cae4621f3a

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=sha256:412e68bbe407122d323e5a0d44f9e7605e1fb1f177e2363b361860235691fdcd

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:f0f4984efed0adb18d529e4c4db9bce30f1e9e9f285688053abf6b68d1392a8e

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=sha256:50cdf069d4e562c8dce63dc8cbc817acc56212d9002f82024169a89780e54c66

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:e2c377a9dc00bb00c2e0914cb7ac42a03dae5f61ebb2ebb1be37aa07b93c0a2a

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=sha256:819329e33f560ea7caee226584af846675eff2e1f894f7ff1f6f58ae636072f2

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=sha256:69b4ee18c0671634cb5718ed458230aa97d45ca68e120d48f4ae21aa5aa30b32

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:d4fc6b9df4086cb0e9e32d644da1bd17e74894a7a30ad1db45351c005f59d986

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:b45e38c96d311c60afcb4d2c69f1498b13abacd4ba55a8fdfd8f3cb8d1ca8cc3

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:c1f8ff9268fba0bb03d7d14dea0ffb7092c1df6ff682212d599151f840018e52

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=sha256:8cbfa33bd0f7125254b09189fa836af9fc778d5356d19bb609638f66363145a1

Pith citing papers

No inbound Pith citation observations are available.