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Paper Citation Record · LEDGER

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2505.17609.

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

pith.paper-citation-record.v1
2505.17609 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:36.084003Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:07:41.729629Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:32:44.942041Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7cf1643-08b3-4264-8a0d-34ff03143c1a · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Flamingo: a visual language model for few-shot learning

Reference 1

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no resolver link, observed 2026-08-07T14:47:30.291808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:30.291808Z digest=sha256:1f5a4e7e4fcf573b4d327620d6118877e08134305b4c31f76ee1ac57540c5396

Observation 533f91e3-e6e0-40e3-a99f-ccfd8133d26c · outbound

This paper cites Qwen Technical Report.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Qwen Technical Report

Reference 2

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no resolver link, observed 2026-08-07T14:47:30.390793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:30.390793Z digest=sha256:f31d61912b1da153857362e7f2d5357fb5da8832d1e9fbaef2e939d4c7266077

Observation 552ad251-ec16-47e3-8ae4-0f615f32382f · outbound

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

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 3

Resolution
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no resolver link, observed 2026-08-07T14:47:30.484426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:30.484426Z digest=sha256:a69de594f1dc16d5ab352938e90c2188258d9b3cb92773e09fb4e49186a6c760

Observation 56b1ef94-3b59-4823-b454-ed683db651db · outbound

This paper cites Comt: A novel benchmark for chain of multi-modal thought on large vision- language models, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Comt: A novel benchmark for chain of multi-modal thought on large vision- language models, 2024

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:43.045383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:30.637752Z digest=sha256:fbf88f060a27e6e2d40be2384e8eece5df143e55a937f19d3c080bff3ab69054

Observation d4861593-0ad5-486e-aa9f-176f8dcd5bd1 · outbound

This paper cites R-cot: Reverse chain-of-thought problem generation for geometric reasoning in large multimodal models, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving R-cot: Reverse chain-of-thought problem generation for geometric reasoning in large multimodal models, 2024

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:42.873009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:30.759765Z digest=sha256:b53caa1d26bd5e1412273fb536d68dd9de4a0fabc91d22d2c405aabd233a0728

Observation 0ea2a75a-960a-4a94-a8de-75aa43244682 · outbound

This paper cites G-llava: Solving geomet- ric problem with multi-modal large language model, 2023.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving G-llava: Solving geomet- ric problem with multi-modal large language model, 2023

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:42.677269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:30.892440Z digest=sha256:e6aedf7c6593d3c8ff8105aeb75b144d6fad0cfa41663566cecc5b688ec1425b

Observation 9edcad66-0962-4658-9157-0d39ca24da16 · outbound

This paper cites Interleaved-modal chain-of-thought, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Interleaved-modal chain-of-thought, 2024

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:42.476504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.048269Z digest=sha256:70567cdb040536dacb3168753bd65281ddea2001d0ea52be97cbb6c17fe8df43

Observation c39060a5-ecab-4cc9-b748-7be13bca7710 · outbound

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

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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no resolver link, observed 2026-08-07T14:47:31.177597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:31.177597Z digest=sha256:27b7e5bd5b88e3dd0afee7ae7a732c0704d595be5e73aaa591a0483a50b6ef4a

Observation 42a41d0e-8bde-4065-a0c4-786dc5f47374 · outbound

This paper cites Infimm-webmath-40b: Ad- vancing multimodal pre-training for enhanced mathematical reasoning, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Infimm-webmath-40b: Ad- vancing multimodal pre-training for enhanced mathematical reasoning, 2024

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:42.241732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.348600Z digest=sha256:aebc7271cecb7c90de94f38498e86486652d9a029fe26288d9764177f2a4b4ca

Observation fe2b4cc8-b3ac-4878-960e-8210d466fed2 · outbound

This paper cites Can mllms reason in multimodality? emma: An enhanced multimodal reasoning benchmark, 2025.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Can mllms reason in multimodality? emma: An enhanced multimodal reasoning benchmark, 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:42.032216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.462609Z digest=sha256:7a0e14f903c051610e123b936c197015a52bd29adae3cf645955cde0295b6eb5

Observation 1305a56a-5437-46ef-87c5-f29bb8916d3f · outbound

This paper cites V- star: Training verifiers for self-taught reasoners, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving V- star: Training verifiers for self-taught reasoners, 2024

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:41.850434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.620508Z digest=sha256:ebe00d7f103a2b7d33a8ca1dfe987dbfc67e1b46f44c89a130388e5e56a05cf3

Observation 337c9337-9012-49d0-8392-760a73b00c6f · outbound

This paper cites Why vision language models struggle with visual arithmetic? to- wards enhanced chart and geometry understanding, 2025.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Why vision language models struggle with visual arithmetic? to- wards enhanced chart and geometry understanding, 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:41.639160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.727616Z digest=sha256:5ac59ce198f91dbe6830953699334610d0dc07e2162b38707e4914c1ee3fa3f8

Observation 929b7b64-f18c-47d4-bb38-57102a6fffde · outbound

This paper cites Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:41.464081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:31.876835Z digest=sha256:1426ea3ae10f1b36b1e41c38850de86e7c336a7e013a5f8f4c73a9322bf9b739

Observation 05f7bccb-0f31-4f0f-a28b-bbdb3b079bc7 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 14

Resolution
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no resolver link, observed 2026-08-07T14:47:31.956475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:31.956475Z digest=sha256:d23119682d9b2626528cc24f596a74ef4af3624fae68a030cbf34c33f7c0316a

Observation 3dbb7cab-ad52-45ee-922b-f9fd6034d599 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:32.059858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:32.059858Z digest=sha256:e2489496678c1ba07c6273a835dd29944aa4fb2ceb4054ba32ac68bb1598e925

Observation 6437156d-ee2c-4780-8d24-c4bb42bacb1e · outbound

This paper cites Let’s verify step by step,.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Let’s verify step by step,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:41.233452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:32.165273Z digest=sha256:ea8dcffc8302a74374e3f96fba2bd27c0fb13c85f2f2afbf1a8580c5b7f9c99d

Observation 42862b6b-2095-4c10-8f7d-e04f9d111cce · outbound

This paper cites Visual instruction tuning.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Visual instruction tuning

Reference 17

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no resolver link, observed 2026-08-07T14:47:32.289866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:32.289866Z digest=sha256:4c3bbc510286ac218e5456d0518b862dbe7225eb19e747a7126f46f8f6ec4779

Observation 905af32e-42a9-4563-90d0-474da0734f1c · outbound

This paper cites Visual instruction tuning.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Visual instruction tuning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:32.393396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:32.393396Z digest=sha256:d9147c9361b363ff01ed407a61809be9bbcea72cc2331f7059ea9447c6c368a8

Observation 88b247ec-8a59-4c65-b641-199438e0a1a9 · outbound

This paper cites Improved baselines with visual instruction tuning.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Improved baselines with visual instruction tuning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:32.549847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:32.549847Z digest=sha256:0c2980984927b8791d64edb6e80c3ed343bae09745a2a88f97bff59d445d6b16

Observation 311bc923-e6d6-4673-bbc1-5047c0bbb309 · outbound

This paper cites Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:41.015915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:32.631099Z digest=sha256:12e9f226f4656e7b20e5766ddbe314f8ef695e4157a04e66cbea934b71bfeb39

Observation f8aca2f8-2b87-461c-974f-a09d66061dda · outbound

This paper cites Reft: Reasoning with reinforced fine-tuning, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Reft: Reasoning with reinforced fine-tuning, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:40.812974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:32.788606Z digest=sha256:373c23b90e591d6966b925e58d593e472cc0988b7ceb7d461cfdee75836ce5ee

Observation b5034237-5478-4012-8de3-7ef2a51da934 · outbound

This paper cites Exploring the limit of outcome reward for learning mathematical reasoning, 2025.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Exploring the limit of outcome reward for learning mathematical reasoning, 2025

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:40.583463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:32.905189Z digest=sha256:60356742c4eabeedd25fbaa66cee7cab724561e7241de83701f16d7c1fdeeb12

Observation 0900553d-5280-4126-a7f5-36208960ef38 · outbound

This paper cites S1: Simple test-time scaling, 2025.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving S1: Simple test-time scaling, 2025

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:40.407357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.014200Z digest=sha256:b62ebbd1f17d8356ff0befc3f12839249ff4b079ae8a90d18762a675b828936c

Observation 66ee2e16-c878-4135-a509-96ed5d231faa · outbound

This paper cites an unresolved cited work.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:47:40.113828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 205eb7af-e202-46d3-96b9-9beddbaae91c · outbound

This paper cites Multimath: Bridging visual and math- ematical reasoning for large language models, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Multimath: Bridging visual and math- ematical reasoning for large language models, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.964561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.237895Z digest=sha256:7234a0a895cd6e2f62e567e7ac23a485897d673de9a154239aa6fa623d440544

Observation 69389a61-be99-46ee-916d-8113c2bc7dba · outbound

This paper cites Mutual reasoning makes smaller llms stronger problem-solvers, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Mutual reasoning makes smaller llms stronger problem-solvers, 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.854576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.377679Z digest=sha256:d096a40661d258cc8c9a317c1ce6ba04d81e7566e125e60b75559b19b0f4dc12

Observation ebd2c04a-d3f8-4f34-bb5e-9d5ed0df9b5c · outbound

This paper cites O1 replication journey: A strategic progress report – part 1, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving O1 replication journey: A strategic progress report – part 1, 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.661379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.485679Z digest=sha256:49040014e6debaaf3e75388ff3a318ecaeabf3810a32a0430c247390a3ca2f60

Observation 59959f09-fd48-4b1d-925e-70bd1fb2738c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Direct preference optimization: Your language model is secretly a reward model

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.388599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.597371Z digest=sha256:6b6a054fc415752729d5b9824e3799fb14eafae73349383d5dd90fa8a1c4bda1

Observation 13fad878-7308-4af9-986b-8e6d541555d3 · outbound

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

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:33.780681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:33.780681Z digest=sha256:8e0385e26408ff5bb472e879a5aa11e38a573e8e79677929b229d316bf1d4253

Observation beedb142-aa54-4d4d-8b22-c9eebc44eb31 · outbound

This paper cites Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Math- llava: Bootstrapping mathematical reasoning for multimodal large language models, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:39.171333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:33.916385Z digest=sha256:2628df04d03ff7c14b2ef9ebee5cca1dd69c06a640aab7a3686bf3aaf8710269

Observation f6b91cd2-8da6-4a7f-a2f4-6cb215b22f90 · outbound

This paper cites Scaling llm test-time compute optimally can be more effec- tive than scaling model parameters, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Scaling llm test-time compute optimally can be more effec- tive than scaling model parameters, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.873933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.086124Z digest=sha256:be5037ce1f867c3448f9a3dccf96d3ec0acdaa0fd20a2f4b42b42834b4ff1392

Observation 1e699345-5325-494d-ba47-ecba532371d0 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:34.230841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:34.230841Z digest=sha256:b51f8cd4e0bbd32b607dfb433544cd6b74d6742e9f800e6451cc2ba8a455b48b

Observation 6457b7f5-58db-4579-bdde-0639d5f18a72 · outbound

This paper cites an unresolved cited work.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:47:38.621626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.330075Z digest=sha256:99bcb0b515053a96217b8d54919bb49711b1daea2ffbad925d6b5eabdf494c09

Observation 75b67f35-8a69-4758-ab29-1a920dd71080 · outbound

This paper cites Slow perception: Let’s perceive geometric figures step-by-step,.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Slow perception: Let’s perceive geometric figures step-by-step,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.344081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.447530Z digest=sha256:15b9f2259ee78a3ec40287c62059f13c0e95879b2d1b4c15794c34f63f64b012

Observation 2cf9270d-7f2a-4bae-a1ae-aaf940c3196b · outbound

This paper cites Gee, and Yixin Nie.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Gee, and Yixin Nie

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:38.072859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.534458Z digest=sha256:55fc7c2fb4a972e2d8c5cfa30892a3e2d67f2ab14e20ad4795adc345a4d035d3

Observation 8ea95854-cd31-4c74-ba11-364496fbee7c · outbound

This paper cites Atomthink: A slow thinking framework for multi- modal mathematical reasoning, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Atomthink: A slow thinking framework for multi- modal mathematical reasoning, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.825685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.696748Z digest=sha256:2a4a7754036f37400bffc38335de3889426e8cf582c322d5c745f53a93c42db2

Observation 3e140fd6-88b9-484c-bfb3-29cc11bfe3b0 · outbound

This paper cites Llava-o1: Let vision language models reason step- by-step, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Llava-o1: Let vision language models reason step- by-step, 2024

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.600994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.807611Z digest=sha256:3e10885e2648305e24ad32eadf041adb96f2ad48d8315ba45b3e966f4e98be12

Observation f18cd552-9e7a-4032-bab2-c8f85fbe2254 · outbound

This paper cites Mulberry: Em- powering mllm with o1-like reasoning and reflection via col- lective monte carlo tree search, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Mulberry: Em- powering mllm with o1-like reasoning and reflection via col- lective monte carlo tree search, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.361926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:34.981884Z digest=sha256:0037834af0740fdd4ec8363780056f4ccd49335a848c516412c2ee808e30a95e

Observation 4abcf3b2-5b6b-4f51-b40b-b5d214c9dc2c · outbound

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

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:35.106693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:35.106693Z digest=sha256:555c91df7d173665bed9030f73989effb81ccbed0df7ef12d98bcfdd3e5c5893

Observation ec856a6f-535f-40ce-bfb6-0f840bf6e849 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:35.253719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:35.253719Z digest=sha256:698a78f16c4e7121423631ea68db626e4e780d3396f9d87cf822cbe23af57843

Observation f7e4553a-2ff7-4b7a-ac97-ea4998f64c7e · outbound

This paper cites Llama-berry: Pair- wise optimization for o1-like olympiad-level mathematical reasoning, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Llama-berry: Pair- wise optimization for o1-like olympiad-level mathematical reasoning, 2024

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:37.056126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:35.370481Z digest=sha256:1729fb74bcef38f8bb335ed07e6ddb0b2f4143024a5215ceb9ee404dcbec3c98

Observation 394f68ed-fa5f-4064-afee-71b6e90151e0 · outbound

This paper cites Euclid: Supercharging multimodal llms with synthetic high-fidelity visual descriptions, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Euclid: Supercharging multimodal llms with synthetic high-fidelity visual descriptions, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.828643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:35.466112Z digest=sha256:f960bd568c45cbe0ae78cdda55f5ef51708cc3b4d1cb0eeef5118ff214036df8

Observation 4aa23182-35f4-4281-adc2-4ccc16aebf93 · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math prob- lems?, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Mathverse: Does your multi-modal llm truly see the diagrams in visual math prob- lems?, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.590741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:35.613884Z digest=sha256:dbf290d6aaa3519abf08cf0dd17ce6884b4b0c39a73c37eff9e44667d8230678

Observation e9448574-25cb-4b7c-b5f6-af5423f213ad · outbound

This paper cites Improve Vision Language Model Chain-of-thought Reasoning.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving Improve Vision Language Model Chain-of-thought Reasoning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:35.769084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:35.769084Z digest=sha256:2db61b484e712250ff4f4039b357e612b1d83eca84263ab5f44ec95e04a32a2e

Observation 9d2b6d23-6b04-4fce-b952-447ad17d3f1a · outbound

This paper cites How far are we from intelligent visual deductive reasoning?, 2024.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving How far are we from intelligent visual deductive reasoning?, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:47:36.367751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:47:35.974557Z digest=sha256:20a83dce8f1a6c456ce9a0f846b41c16363c232d3a9642b7ea3f2eab38481da7

Observation 220a7715-c1b0-424b-8e53-c18b8e34f584 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:36.084003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:36.084003Z digest=sha256:ee790da5a97956301d8c43d11799e18d0ec08f666549eaf86f7c313248e81a24

Pith citing papers

Observation 810f532a-3356-4d45-b17f-066ddf3c9118 · inbound

CPPO: Contrastive Perception Policy Optimization for VLM Agents cites this paper.

CPPO: Contrastive Perception Policy Optimization for VLM Agents Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T13:07:41.729629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:07:41.729629Z digest=sha256:55242902c5b599c02f005fbd0f806d8f0a640ece887fd6bf0e90701c162d8f64

Observation 87c3c1dd-5e30-4533-b455-2fdf424e070c · inbound

Concise Geometric Description as a Bridge: Unleashing the Potential of LLM for Plane Geometry Problem Solving cites this paper.

Concise Geometric Description as a Bridge: Unleashing the Potential of LLM for Plane Geometry Problem Solving Integrating Visual Interpretation and Linguistic Reasoning for Math Problem Solving

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:32:44.943620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T10:31:06.712428Z digest=sha256:509b1f4527d23aa1879a30c34924c16fabadb05e0ac41c71f99d5709ab46c0dd