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Paper Citation Record · LEDGER

MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2407.08739.

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

pith.paper-citation-record.v1
2407.08739 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:39:41.271015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:47:26.006183Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 24af4123-0fd2-44b7-92f7-832014c86653 · inbound

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? cites this paper.

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 70

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arxiv_id, observed 2026-05-17T01:29:30.190346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T01:29:30.032408Z digest=sha256:42e20b439b7d10a2e1eb37f9e41a9e37aa195d315873669508e3db92eed262fb

Observation 4a21b82d-8f57-4c5d-8782-6593f43566e9 · inbound

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 66

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arxiv_id, observed 2026-05-11T06:01:54.061147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T06:01:53.730356Z digest=sha256:5241c2639c7b312d79230df2f9e0717362c369b249055c7c9afb64c4909b8165

Observation a2f6558d-bacf-40b3-9290-d6f5d0d6db7a · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 115

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arxiv_id, observed 2026-05-16T09:16:17.557931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T09:16:17.150383Z digest=sha256:00db8809c18d14aff5d6ca04d1983dd06fd8ab92dbffa21cc16857e2bd3ee2a7

Observation 85fff0dc-67ad-47f3-9f54-1887afb37c4f · inbound

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models cites this paper.

Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 56

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no resolver link, observed 2026-08-12T15:17:06.953147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:17:06.953147Z digest=sha256:2a982ad68829add82718c9b6a934b4ccaca77f3839836660047954e8b28ea6f4

Observation a8a7b446-b3ec-4a88-b3fb-a2b8eae8a6dd · inbound

Chimera: Improving Generalist Model with Domain-Specific Experts cites this paper.

Chimera: Improving Generalist Model with Domain-Specific Experts MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 89

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no resolver link, observed 2026-08-11T20:13:47.733814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:13:47.733814Z digest=sha256:a41ca3140d48f2fa203725ef9526eab8732c21bb4004054cdf5c5c74ec213aa6

Observation 16f579f7-a6d3-4b0f-8645-548a8440880a · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 110

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arxiv_id, observed 2026-05-11T10:09:26.732425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T10:09:21.542356Z digest=sha256:665b969391be5f385d139891e6ed278ba25d735797f0a9cd07fc2a04262ef4fd

Observation c6ba98ab-5eb9-4534-b122-ca04f7d1ad34 · inbound

Diving into Self-Evolving Training for Multimodal Reasoning cites this paper.

Diving into Self-Evolving Training for Multimodal Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 50

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no resolver link, observed 2026-08-11T05:32:39.069771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:32:39.069771Z digest=sha256:b5d353e9dd498f77d7dac83374cd7b4c6c4ed0eeb4c0ecfbe7b62e76c30a3165

Observation 6e36f441-a28e-497c-9b40-36cd2d2faff2 · inbound

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design cites this paper.

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 90

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no resolver link, observed 2026-08-10T21:10:19.283464Z

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source=pdf_text observed=2026-08-10T21:10:19.283464Z digest=sha256:195fb5ce60e78ef5c87310dcf26d95e7390a600fd6333163514f514bf177c5a5

Observation 8bed7407-1a0f-4229-a0b6-dad16cd87fed · inbound

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models cites this paper.

IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 90

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no resolver link, observed 2026-08-10T15:31:35.805509Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:31:35.805509Z digest=sha256:cb95f53f5bdd6f67a46905f2aed958739441d4e5b8a612005e7149da8e0c2f73

Observation 58823435-7a69-44d3-bdd5-ca5b88c71603 · inbound

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step cites this paper.

Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 4

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source=pdf_text observed=2026-08-10T15:32:46.119385Z digest=sha256:cc90f83e25bff4dc8bb9533658e9a3fa76e077b0dcf94a7981c6c4eb1c8fc54b

Observation d8e3cae9-a97d-4dd0-a61f-c33ce0a4b57d · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 45

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no resolver link, observed 2026-08-10T18:04:34.054480Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:04:34.054480Z digest=sha256:f0411e0c656a84f511f99a3c627e8f7720b709ce99280f867896ec165869e9dd

Observation 3d29311d-00d3-49c8-a2df-2333d5253a68 · inbound

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs cites this paper.

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 13

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no resolver link, observed 2026-08-09T13:59:32.087633Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:59:32.087633Z digest=sha256:f94aecb180f8a48d581913dedfd93a1f7ed2b0cbfceb24f04ed360ff2e9694ac

Observation 7d4d353c-549d-424a-8824-bc950204ba0d · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 161

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verified exact
arxiv_id, observed 2026-05-15T17:18:53.270300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:0e5217753172907b33765e7a5f69c91385fead1834830a8feba5da578a11b288

Observation c209adac-e703-4368-a0cb-5989f264fe0a · inbound

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 80

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verified exact
arxiv_id, observed 2026-05-22T22:57:13.394341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T22:55:34.238427Z digest=sha256:2e5e9eadc1ba849f8936069ffad3e76f8f9b69a41587ab404c95d96d1ed7f8f8

Observation 53cdd838-b3db-45ab-9ddc-eed5a0d2135e · inbound

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models cites this paper.

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 148

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arxiv_id, observed 2026-05-10T13:41:08.184254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T13:41:07.991012Z digest=sha256:3b178072d0bfcd149893c588f4d710096f38688b614e6e3295916cad36af44df

Observation 622de149-5f4c-43b5-9b79-19c1dc7ce316 · inbound

Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains cites this paper.

Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 50

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no resolver link, observed 2026-08-16T05:39:41.271015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:39:41.271015Z digest=sha256:f6547b2b2067d80334839103a0f71c898ba00d140c4bbe1a51ad843e209a5a44

Observation 8f77bb31-266a-484a-b632-62cd419008ed · inbound

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT cites this paper.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 87

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no resolver link, observed 2026-08-16T04:41:47.868491Z

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source=pdf_text observed=2026-08-16T04:41:47.868491Z digest=sha256:1dfecb3e7cb542a870d277e03ddfaee103ae4bd73f21b1d3068a7ac1fe9b13c3

Observation 7c702a44-897e-4cb6-aa1b-66bcefa6ec32 · inbound

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action cites this paper.

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 54

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no resolver link, observed 2026-08-16T04:17:40.304941Z

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source=pdf_text observed=2026-08-16T04:17:40.304941Z digest=sha256:b178c1751fddb925bac921e83e510f4a4eac684a25550d9f2d7b996c4d07f821

Observation 9ebd1b06-816f-478b-9181-2b73876249d4 · inbound

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision cites this paper.

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 48

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no resolver link, observed 2026-08-15T20:17:23.370295Z

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source=pdf_text observed=2026-08-15T20:17:23.370295Z digest=sha256:d45c2d951d0baa0cf9422fe5bb833714ee7c6756e6dcea5b7f6c1ee7f8e3e422

Observation b529bdf1-551a-4362-aa4e-a75d6d4924ab · inbound

Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO cites this paper.

Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 66

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no resolver link, observed 2026-08-07T14:55:56.665148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:55:56.665148Z digest=sha256:1062ee41ff6cb63ede3d2afb5380339e40c492a9dd75ff154f54af448aff7b11

Observation 9bbde23e-4ac3-482c-8e41-cabfad96a542 · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 66

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no resolver link, observed 2026-08-07T13:12:58.908022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:58.908022Z digest=sha256:ac647e074476a40f85095a50dea699c2fb6ea46f8ddf860d1a8495b1822ec753

Observation 5a67142b-43ef-49a4-a05e-f83c9a3c7073 · inbound

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation cites this paper.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 56

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no resolver link, observed 2026-08-07T13:14:40.804899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:40.804899Z digest=sha256:1b2e292c9dca65630c55c7b32a8c0eff4ea4027c2bee2e1725399052bf2d1281

Observation b142e3ae-f505-4f10-8d0c-6687061a00a4 · inbound

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning cites this paper.

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 18

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no resolver link, observed 2026-08-07T11:34:12.657363Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:34:12.657363Z digest=sha256:0c565a6d6a328fc462a8a109f4491f5aff405f7c0d70e9483baeb71d44cc98ce

Observation 8b0f0c64-a046-495b-afaf-bc5aacb038bb · inbound

Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual Reasoning cites this paper.

Vision-EKIPL: External Knowledge-Infused Policy Learning for Visual Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 68

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verified exact
arxiv_id, observed 2026-05-19T10:37:14.947419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T10:34:48.849524Z digest=sha256:5512d9001f1b6164ca0c0c6b994b82ddb4a68072c17653e13458a300a42c2f7e

Observation 7abe790c-2990-4cb5-8685-08c7b2b55b60 · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 94

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no resolver link, observed 2026-08-06T18:19:58.402131Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.402131Z digest=sha256:38c6eb7485a13b2314a35117250992c03bcf90c2f14aa97d196b5850f4951794

Observation ebeb8b8e-d759-4132-9dd0-3cd68ed37aac · inbound

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning cites this paper.

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 55

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no resolver link, observed 2026-08-06T15:12:02.048255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:02.048255Z digest=sha256:695e9349b93d4f0cdbf4aebaa27738df24bd54eab78b54dd287acf9c55ea700c

Observation 1c842d2f-a386-4325-bfd3-8d7b4aa80f9d · inbound

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 82

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no resolver link, observed 2026-08-05T20:44:18.084915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:44:18.084915Z digest=sha256:72f5ae184c629190b5ee7ed44ad1c4e0f22cc2d3d1ddd6b711781adc310955ca

Observation 9f00765b-351e-4bde-8836-8bd28789fc4a · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 60

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verified exact
arxiv_id, observed 2026-05-18T04:40:53.011695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T04:39:58.296388Z digest=sha256:6d506baef6ef34199a6184826f076e213eb71c0ea5c85a064c199819c56340aa

Observation fc019f4c-96cb-4dad-b159-2c8c190cc679 · inbound

MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition cites this paper.

MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 98

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arxiv_id, observed 2026-05-17T00:21:23.392627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T00:20:58.483350Z digest=sha256:dceb4cb9520d203f47bb2bbb20c7989c343432097674a04e23d17b68bbabf1cb

Observation 638c9f27-1926-4981-a4f8-e3dc2dd532dd · inbound

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning cites this paper.

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 17

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metadata mismatch
arxiv_id, observed 2026-05-20T06:18:05.302009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T06:16:47.650748Z digest=sha256:556e64e7db08f714f8dd84e1ce292b393913756b8854788a3ac62c4e2f758988

Observation 913fe041-bf1c-4595-8295-43f8808509d4 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 73

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verified exact
arxiv_id, observed 2026-07-02T22:47:26.007669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T18:39:44.696961Z digest=sha256:319a45b25a8fe64e891acc25258b00e91029574ee17b779376355bc309a799cc

Observation 664e61c1-603b-4fdd-9fe9-9deef7b40e75 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 73

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no resolver link, observed 2026-08-02T12:05:09.795947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:05:09.795947Z digest=sha256:2fedeb1edc9d9ac8459a1445f8bf96adad2e02f83176291fd25a3dcfcccb0535

Observation 8ea9a2ae-b86a-4381-8109-45b8302c42c7 · inbound

FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation cites this paper.

FormalAnalyticGeo: A Neural-Symbolic Based Framework for Multimodal Analytic Geometry Problem Generation MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 35

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no resolver link, observed 2026-08-02T06:15:36.702227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:15:36.702227Z digest=sha256:674ebd6aff174fbec4aa012ceda85f613ef33567dbe246aac909ab71d3950ed3