Paper Citation Record · LEDGER

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 13 inbound Pith citation observations for arXiv:2505.05464.

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

pith.paper-citation-record.v1
2505.05464 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:08:16.658495Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:18.936793Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy15
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation ccf3fd5c-4381-4b9b-aae4-790e0695fb5b · outbound

This paper cites Evolutionary Optimization of Model Merging Recipes.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Evolutionary Optimization of Model Merging Recipes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.422983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8d76f8-0905-4178-a219-a85d901271b1 · outbound

This paper cites REMEDY : Recipe merging dynamics in large vision-language models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging REMEDY : Recipe merging dynamics in large vision-language models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.486690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cde49d14-bd8e-459d-b01e-00aa23c5b8d8 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.435598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c402e13-1642-48cb-bd30-73d4dff25892 · outbound

This paper cites Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.441638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f8f40c3-4add-4f31-baac-6d8aa8f00aa1 · outbound

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

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.446722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0997f6d3-00c6-4dfa-bcbc-9925e639c325 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.466108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a06c253-00f0-4158-82f2-fa1b4e4bec81 · outbound

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

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.456750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4189c3d9-3df3-41ff-9220-22b1edf407c4 · outbound

This paper cites The Llama 3 Herd of Models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging The Llama 3 Herd of Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.461410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f74812ff-a28e-45b4-af5a-dda916c8d9ff · outbound

This paper cites T., Wortsman, M., Schmidt, L., Hajishirzi, H., and Farhadi, A.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging T., Wortsman, M., Schmidt, L., Hajishirzi, H., and Farhadi, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.436551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57462b7b-c950-43e9-a8f9-df24f4bc77ce · outbound

This paper cites Mistral 7B.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Mistral 7B

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.472192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f08ca0f-ae16-49a4-ac77-ec5b5db4bd5a · outbound

This paper cites Dataless knowledge fusion by merging weights of language models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Dataless knowledge fusion by merging weights of language models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.412229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56f4915b-39f6-4608-842d-2efc3cd56b50 · outbound

This paper cites What matters when building vision-language models? Advances in Neural Information Processing Systems, 37: 0 87874--87907, 2024.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging What matters when building vision-language models? Advances in Neural Information Processing Systems, 37: 0 87874--87907, 2024

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.393565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8cf25caf-15e2-4715-802b-c9528d975a69 · outbound

This paper cites What matters when building vision-language models?, 2024.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging What matters when building vision-language models?, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.376191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad09fd08-c2ae-437d-9346-76d49900fc2c · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging LLaVA-OneVision: Easy Visual Task Transfer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.494882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3e6ac4-67f8-4605-b331-2de84277439d · outbound

This paper cites L ogi C o T : Logical chain-of-thought instruction tuning.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging L ogi C o T : Logical chain-of-thought instruction tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.499089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a3714b-448c-4f30-a914-7fa1af3a5733 · outbound

This paper cites an unresolved cited work.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:08:17.360854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84667f08-28f2-4abd-947c-7ceb7ddea65f · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.509070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde0602a-d2a7-4702-ae27-d545e40c5aa9 · outbound

This paper cites and Raffel, C.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging and Raffel, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.335353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a2e1e3e-efff-4c76-99f1-2dc0aa9ff052 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc922c32-eb26-4a40-983d-c8eaccbbac5d · outbound

This paper cites MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.532473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99f00c08-1220-4658-9078-45431ee3810a · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.537631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aea0911-47b1-4f82-8f5c-8be4f8bcccee · outbound

This paper cites Measuring multimodal mathematical reasoning with math-vision dataset, 2024 a.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Measuring multimodal mathematical reasoning with math-vision dataset, 2024 a

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.297225Z

Source-reported events for the cited work

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Observation e5453415-e96a-4976-9142-894bf7d0efdf · outbound

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

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.548458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a31c3ae-5984-44c7-bd30-5150a696efe6 · outbound

This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.554851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff6c16f-60e2-4b84-ba46-6d30d5f1d899 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.560353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 722bc919-0364-46c2-902a-1d514f241cb0 · outbound

This paper cites A., and Bansal, M.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging A., and Bansal, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.269231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2c0f643-a7c3-4af1-8155-95926d035679 · outbound

This paper cites What Matters for Model Merging at Scale?.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging What Matters for Model Merging at Scale?

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6146401c-192f-4e73-ae18-d9e70734471f · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.577402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb39ff89-8176-4e48-9d2e-bca122b63720 · outbound

This paper cites AdaMerging: Adaptive Model Merging for Multi-Task Learning.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging AdaMerging: Adaptive Model Merging for Multi-Task Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.584752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ceb6a0-ae80-4260-8409-c6dcd1092dca · outbound

This paper cites Metamath: Bootstrap your own mathematical questions for large language models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Metamath: Bootstrap your own mathematical questions for large language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.246881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82340a4c-b78f-4d68-8bb8-a14dac31a9c4 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.231811Z

Source-reported events for the cited work

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Observation 4809fd7e-7b06-4fd8-aded-56e37ab6aba7 · outbound

This paper cites MA mmo TH : Building math generalist models through hybrid instruction tuning.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging MA mmo TH : Building math generalist models through hybrid instruction tuning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.211154Z

Source-reported events for the cited work

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Observation e229af11-847d-4058-8984-2c2be6a21326 · outbound

This paper cites Mammoth2: Scaling instructions from the web.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Mammoth2: Scaling instructions from the web

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.184490Z

Source-reported events for the cited work

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Observation ee765e21-7378-4868-85f8-c2af11ecf95e · outbound

This paper cites Sigmoid loss for language image pre-training.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Sigmoid loss for language image pre-training

Reference 34

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Source-reported events for the cited work

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Observation 909c2e30-124d-4367-a7ef-4d2e7b45ce31 · outbound

This paper cites Composing parameter-efficient modules with arithmetic operation.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Composing parameter-efficient modules with arithmetic operation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.165996Z

Source-reported events for the cited work

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Observation c9b4285c-884f-40ae-a2ca-b8ca5f4e0a31 · outbound

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

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Improve Vision Language Model Chain-of-thought Reasoning

Reference 36

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Observation fcd7e9a2-a7a9-4a32-a579-8ec3abc0227b · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pp.\ 169--186.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pp.\ 169--186

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.642768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11312815-6f71-4dda-a9a1-b46fdb279f7b · outbound

This paper cites H., ZHANG, R., Gu, J., Zhai, S., Susskind, J.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging H., ZHANG, R., Gu, J., Zhai, S., Susskind, J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:08:17.137961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b5ba975-18cb-48b2-b248-6d6ab60b6e18 · outbound

This paper cites DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T23:08:16.654069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77a79bef-b527-43e7-b51d-c03f2b4a677b · outbound

This paper cites write newline.

Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging write newline

Reference 40

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Pith citing papers

Observation 00e8cf36-898b-4728-a796-78f4cd00c571 · inbound

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic cites this paper.

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T17:01:02.057343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9585c7-f145-4952-9ca8-d51d77c80e69 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.876272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e1bae59-1e0b-4397-9f9f-566475f688ee · inbound

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective cites this paper.

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 6

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Observation 52166a51-173b-4065-baed-1b8849038595 · inbound

PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models cites this paper.

PlanGPT-VL: Enhancing Urban Planning with Domain-Specific Vision-Language Models Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:50.323121Z

Source-reported events for the cited work

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Observation c9568ce4-e1e1-418e-97cd-37470082b171 · inbound

Training-Free Reasoning and Reflection in MLLMs cites this paper.

Training-Free Reasoning and Reflection in MLLMs Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:55.819405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18bcdaae-1d8b-42aa-9472-b489a4c8ac21 · inbound

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models cites this paper.

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T20:44:35.625880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c15fbc6-41d7-49d8-9fe3-6b4c95398690 · inbound

Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging cites this paper.

Reasoning Resides in Layers: Restoring Temporal Reasoning in Video-Language Models with Layer-Selective Merging Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:05.779148Z

Source-reported events for the cited work

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Observation 5e991e75-8394-4b31-8ba6-d69525255154 · inbound

Towards Long-horizon Agentic Multimodal Search cites this paper.

Towards Long-horizon Agentic Multimodal Search Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:00.190608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd4b5312-f3f0-48b6-aeb6-f3645440beb6 · inbound

ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails cites this paper.

ConsisGuard: Aligning Safety Deliberation with Policy Enforcement in LLM Guardrails Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:46.487917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9a56e1a-b4b3-4e7f-852a-9ff13eb396d9 · inbound

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning cites this paper.

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:16.623754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 613f2f3a-19a1-4ec1-a37f-867336c1a40e · inbound

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models cites this paper.

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.348287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4417778-bbfb-4451-8ae9-3e4b983a85e3 · inbound

Recursive Vision Language Models for General Symbolic Reasoning cites this paper.

Recursive Vision Language Models for General Symbolic Reasoning Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:11:24.638371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c0e90a-481d-4511-b135-8327fc93146a · inbound

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging cites this paper.

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T11:15:06.746182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.