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Paper Citation Record · LEDGER

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework

As of 11 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2602.23615.

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

pith.paper-citation-record.v1
2602.23615 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:19:18.145721Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:53:13.255412Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:55:28.907050Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 275b3669-c68b-4811-9262-55cdb4878412 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:13.048310Z digest=sha256:2d4f3aa2b0eecd5cc7c55693e0a937a0dedc2e58e8872e42367f1fce0084eac9

Observation 91979e10-953a-47f9-bb58-c286fd10c144 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial In- telligence.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the AAAI Conference on Artificial In- telligence

Reference 2

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source=pdf_text observed=2026-08-02T20:19:13.111818Z digest=sha256:7437bfea045e18ed3a94e770a857429ecf8e89e04d9f027ede7209d7189439c7

Observation 4efb0695-f991-4e0e-bd61-732c6e3a1a29 · outbound

This paper cites Qwen2.5-VL Technical Report.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-02T20:19:13.167778Z digest=sha256:da62ac8900409f61c4b804bfdcfe2c0bd3b591ae5a240e8ade6401e345feb333

Observation 9c0035fc-46c9-4bff-96ac-21a454e0d4dc · outbound

This paper cites Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning

Reference 4

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source=pdf_text observed=2026-08-02T20:19:13.273609Z digest=sha256:0a6d7340f5fd4fd44d7e7fd56dc2dbb921a2341cae211ac30695d1a6811c4936

Observation 97ffbdd2-4ce4-413c-b8c2-1c6e751fa778 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T20:19:13.386540Z digest=sha256:c0b3725b6c8f15cd8f8ebb1e2e557d1354619ce90fd7c81736ff40593513272a

Observation bb2e2c30-9dc5-43f9-a2d5-8101406fb5b0 · outbound

This paper cites Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:13.457923Z digest=sha256:53e3042b83b6a50b9c20e365d25d65176ab2e009cc77a66977af0947636b69d6

Observation abc60261-8590-4fe8-a7e0-9ed001ac3d57 · outbound

This paper cites Advances in Neural Information Processing Systems37, 42566–42592 (2024) 2, 4.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Advances in Neural Information Processing Systems37, 42566–42592 (2024) 2, 4

Reference 7

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source=pdf_text observed=2026-08-02T20:19:13.519729Z digest=sha256:65539b1ddc0d76d5200069848be83f47cbecd3738224b2f0e094637e15ec64ba

Observation 69f9d66c-36c7-419d-9bbb-ac136c9c7967 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T20:19:13.573412Z digest=sha256:fa8d1c9aa31f35d9f4c505173b5f57ba116e746bfa59af0343a09edfb1a4bb1b

Observation 13db82c9-bf85-4f94-bc0d-2ae8bde85ccb · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-02T20:19:13.698688Z digest=sha256:9f5825ff0e3ce47ca391de7e8ce5dc1e8727a56e0b06fc27e8074daaa9a17e0f

Observation 33aa45fa-ea8e-431f-90db-8d7ce1732832 · outbound

This paper cites Nature645(8081), 633–638 (2025) 1, 4.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Nature645(8081), 633–638 (2025) 1, 4

Reference 10

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source=pdf_text observed=2026-08-02T20:19:13.819019Z digest=sha256:a03cb9111cc5dfa54d97c85de03696d4368a39a066e3d872be763e1cf1b4b00a

Observation 083c6a0b-ebfc-4fbd-8cd4-7ace85e552bb · outbound

This paper cites Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning

Reference 11

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source=pdf_text observed=2026-08-02T20:19:13.888889Z digest=sha256:b7696b2befd5e23bc4be313f185c5185c1101340d39d7d1923430060eacebb39

Observation 97acee85-ba2e-4c0c-bd92-a178adfb00ab · outbound

This paper cites In: European Conference on Computer Vision.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: European Conference on Computer Vision

Reference 12

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source=pdf_text observed=2026-08-02T20:19:13.978780Z digest=sha256:90bcdf50f32e452802cbf7dc6556f5e46e02ef69a351d355379c6d83cb0ad6b5

Observation dfca068a-ce1c-4348-87f7-f1a55734cadc · outbound

This paper cites mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding

Reference 13

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source=pdf_text observed=2026-08-02T20:19:14.038805Z digest=sha256:3856e27eca895aeadd5d51c4c0ab1315c586c8833340f39a46e66177039d6214

Observation 133447d1-ce7f-46b2-93f5-9fa881340a35 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 14

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source=pdf_text observed=2026-08-02T20:19:14.109013Z digest=sha256:e375b67788f42813a02a2f3e3a4fdddd51450f054fc135a6ee7f01d35ee3db0a

Observation 75664f17-c17d-45fa-b449-11f4e9e77b56 · outbound

This paper cites High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning

Reference 15

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source=pdf_text observed=2026-08-02T20:19:14.175809Z digest=sha256:b9b2cf36f857f8432e28ad38bc4c088dd1fdf9bae9217ae614a7f1a2f396096b

Observation f6dc410c-608e-4a26-ae4e-ae3f3b531be9 · outbound

This paper cites GPT-4o System Card.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework GPT-4o System Card

Reference 16

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source=pdf_text observed=2026-08-02T20:19:14.237828Z digest=sha256:8e67b90a394199d95d50dc0890bbeee412200d5cd7119e99a39702fc4a2184af

Observation 5a349c1f-8bf9-40d4-afb6-ef96a224426f · outbound

This paper cites OpenAI o1 System Card.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework OpenAI o1 System Card

Reference 17

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source=pdf_text observed=2026-08-02T20:19:14.285694Z digest=sha256:ec7993b13c522576e1b9090317145b1ba4201bb1a89a2d7326180de7cd30a123

Observation 7b219928-df0d-4ee5-b6e3-25d108537fc6 · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

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source=pdf_text observed=2026-08-02T20:19:14.414079Z digest=sha256:ec04598be20edce00dcc70a9ca4c5d86a59a1e84e79d92e520929134a93b3efb

Observation d0c609da-e448-422c-b6db-8d94a2441faa · outbound

This paper cites In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

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source=pdf_text observed=2026-08-02T20:19:14.462843Z digest=sha256:3a482099e7ddf4a7815ef2c6956511ea2df6ffa6d5cf4153123bf6993ad15e81

Observation 1b94b329-7fd3-4851-b138-f5d515deb13f · outbound

This paper cites Self-Rewarding Vision-Language Model via Reasoning Decomposition.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Self-Rewarding Vision-Language Model via Reasoning Decomposition

Reference 21

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source=pdf_text observed=2026-08-02T20:19:14.531269Z digest=sha256:f0131706ef24f268ee8186230b8c76ff742a718f4fc31c8fcdfc4003aa379731

Observation 422beb22-53ef-4611-96eb-9db5915e0bf6 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 22

Resolution
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source=pdf_text observed=2026-08-02T20:19:14.591268Z digest=sha256:4d9e0c135b47512e6da82a59de705c31984e2bdd5f9602e985e10cde080e54b0

Observation ebcbe87e-571c-4426-ae49-a3f966f52203 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 23

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source=pdf_text observed=2026-08-02T20:19:14.694209Z digest=sha256:90238d02c60a3e31056c3d326ece7c76fb188ba6f929f5047627842d0538d9f6

Observation 11764147-a7f2-492c-b0fe-3cd9d206f8c8 · outbound

This paper cites In: European conference on computer vision.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: European conference on computer vision

Reference 24

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source=pdf_text observed=2026-08-02T20:19:14.785165Z digest=sha256:04e76a0af20fc2141213a89518538bb23c2684d7aaa39853bd0f7196f830d57b

Observation a2564aa5-037b-4aff-a5fc-20746eea6fa1 · outbound

This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 25

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source=pdf_text observed=2026-08-02T20:19:14.895125Z digest=sha256:1a14966999bcb4eadce2c7ab01abe87a96053e4d2a0582485fe61ed039235a34

Observation 9e4ee4b3-3d4d-48a5-ad09-f02021c937b2 · outbound

This paper cites Visual-RFT: Visual Reinforcement Fine-Tuning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 26

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source=pdf_text observed=2026-08-02T20:19:14.979185Z digest=sha256:52c898a57944179b89bb43521953ea32e65509b224ed9a51c20a20cbca3727cf

Observation 81ccac28-6780-4ccc-bf9c-914ecbc5c514 · outbound

This paper cites In: The Thirteenth Inter- national Conference on Learning Representations (2025) 2, 4 Title Suppressed Due to Excessive Length 17.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: The Thirteenth Inter- national Conference on Learning Representations (2025) 2, 4 Title Suppressed Due to Excessive Length 17

Reference 27

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source=pdf_text observed=2026-08-02T20:19:15.077280Z digest=sha256:dc0e04d23c7639435c42abca114c5f53dbcb690d646b47bbe6bb1d5909698dc2

Observation 684c86e5-0d91-499a-85b5-0a00f9524f72 · outbound

This paper cites Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models

Reference 28

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source=pdf_text observed=2026-08-02T20:19:15.127415Z digest=sha256:af9062180d815b5366c0be15635b2edca44d7823f27e026cfdc4fa244d91c21e

Observation 9a53a9d3-7f3c-4e1b-9c85-eef5ff213a55 · outbound

This paper cites TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding

Reference 29

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source=pdf_text observed=2026-08-02T20:19:15.251753Z digest=sha256:04d7be158bcb375fe91adbdfea380add09f85e4cf2c61142c574638f6ce50bd0

Observation b4459221-2015-4fbd-84b5-4fd4fa2e20be · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:15.320680Z digest=sha256:81456c84138e7acff8ec69ecbb4d5d804145aa4544f0ecf65028c1001f1b6992

Observation 1bb18f53-14e7-4282-8d02-654e57df0580 · outbound

This paper cites IEEE Transactions on Intelligent Transporta- tion Systems26(3), 2851–2879 (2025) 6.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework IEEE Transactions on Intelligent Transporta- tion Systems26(3), 2851–2879 (2025) 6

Reference 31

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source=pdf_text observed=2026-08-02T20:19:15.380005Z digest=sha256:a27786593f315876c34cadbcc176c32769aa9a4d2ff0010f885f5529f4ce6fe1

Observation 0a366a8e-f5d7-4c05-a3cb-ee0d59a7e914 · outbound

This paper cites Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning

Reference 32

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source=pdf_text observed=2026-08-02T20:19:15.437999Z digest=sha256:b0123c12d8e02c9014fcb0636a639dd2f82cff8d1398824aefc9be10ab15a3b6

Observation 57104f53-df50-4023-b6e5-273abcc4c7e1 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-02T20:19:15.496640Z digest=sha256:b3907620cb375e89c184a7711ef65aad1bc9abe615e5e379a40787cecc4a024e

Observation 51541620-deeb-4096-8198-d3e7082789b6 · outbound

This paper cites com / index / introducing - o3 - and - o4 - mini/(2025) 11.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework com / index / introducing - o3 - and - o4 - mini/(2025) 11

Reference 34

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source=pdf_text observed=2026-08-02T20:19:15.540266Z digest=sha256:dc8e989c0d8930e171a5b3954c42c3bb2120ae64c441d3c47031cef740680c32

Observation ba6059e0-13b4-4dfa-af91-b103e7177430 · outbound

This paper cites LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Reference 35

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source=pdf_text observed=2026-08-02T20:19:15.616914Z digest=sha256:8839a5d5682d5cf457062a81652acf54189c03db18cbf992ea936d6dafdb70ba

Observation 0b292c63-60a1-4069-83c9-ec4cccdec445 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-02T20:19:15.699798Z digest=sha256:a5481c3266b7a863382d074470c87378fd365f97bb1fb2a7025aa2e686c076d8

Observation f3731e62-beb4-4ec3-a6d7-b1d053f52556 · outbound

This paper cites Advances in Neural Information Processing Systems37, 8612–8642 (2024) 2, 4, 6, 12, 13.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Advances in Neural Information Processing Systems37, 8612–8642 (2024) 2, 4, 6, 12, 13

Reference 37

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source=pdf_text observed=2026-08-02T20:19:15.760114Z digest=sha256:d1d2b45f30912645b914557c078c02ee179de266a6937db4e1d57b472fe1ad41

Observation ad32fce8-8c68-4be6-9f46-a407f2643bfe · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

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source=pdf_text observed=2026-08-02T20:19:15.820927Z digest=sha256:cfc87c980e96e40aaef0aaeae28c7758dfd2102527a3ab9fbb6fd120f7c4a829

Observation bab4e334-fae2-4c1e-9a71-35ae3a90e4cb · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 39

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source=pdf_text observed=2026-08-02T20:19:15.914946Z digest=sha256:6459c03defbbb3854ecddb5018b2f3f85542b9081da67f187049561c2016c567

Observation 9b86dba6-9345-40ce-9ce0-9839901b1dff · outbound

This paper cites Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning

Reference 40

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source=pdf_text observed=2026-08-02T20:19:16.005929Z digest=sha256:c8abc4e32293188663f888f09c07f0c2b087dd47eb4bc18881c06397325b5cc3

Observation 6c62dd5c-10f2-4aa4-b1c2-be947ff78a6e · outbound

This paper cites Visual Agents as Fast and Slow Thinkers.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Visual Agents as Fast and Slow Thinkers

Reference 41

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no resolver link, observed 2026-08-02T20:19:16.095682Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T20:19:16.095682Z digest=sha256:ada8a8c54ee8bbbb72e0e4a2f682ae604f6072fdfe7c016598f887e1ec25012f

Observation 143d14df-d708-49fd-a7df-71a84f4a0bb4 · outbound

This paper cites an unresolved cited work.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-02T20:19:16.157561Z

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source=pdf_text observed=2026-08-02T20:19:16.157561Z digest=sha256:7f7aac7d2caeef6fb1247bdb6bc9de025a6792ddb96d51855ebae953f8f2d344

Observation 11d88913-1d6a-4394-b498-33e39fb15602 · outbound

This paper cites arXiv preprint arXiv:2503.20752 (2025) 4.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework arXiv preprint arXiv:2503.20752 (2025) 4

Reference 43

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source=pdf_text observed=2026-08-02T20:19:16.227084Z digest=sha256:4ab9e6159062bda7355b2c7a2b11af5badae0d059798892b6515997c6495de03

Observation 5c9dc1a0-022a-4fb2-b823-e2cd49efe134 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 44

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no resolver link, observed 2026-08-02T20:19:16.299171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:16.299171Z digest=sha256:9846336c62f4216f5fd30266aa6a152a324ea45b28ab3690711839c567502b37

Observation c3bf73b8-b3ca-4dfd-a1f8-e5793b1e7c0f · outbound

This paper cites CoRR (2025) 4 18 Authors Suppressed Due to Excessive Length.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework CoRR (2025) 4 18 Authors Suppressed Due to Excessive Length

Reference 45

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source=pdf_text observed=2026-08-02T20:19:16.410124Z digest=sha256:91a273c30e20058de3365e32a4becf6c2ff231a9e00ddb3010adf543b2e4d9bb

Observation 6a2b6f0a-97ea-4a09-a86d-fdaf0821c341 · outbound

This paper cites arXiv preprint arXiv:2507.07999 (2025) 2, 3, 4, 6, 10, 11, 12, 13, 14.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework arXiv preprint arXiv:2507.07999 (2025) 2, 3, 4, 6, 10, 11, 12, 13, 14

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:16.508488Z digest=sha256:586f86f9543bb5c11147da28a2679bd9da168c93f8b0019bc4965ac965e83c7e

Observation f5f96ff2-7dd0-4a6a-ab00-8aea76ffae5b · outbound

This paper cites VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 47

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no resolver link, observed 2026-08-02T20:19:16.590114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:16.590114Z digest=sha256:d629e75de68db9aa301a7b0822f2cc2575848db6236fa0d19d6e4fc95140828f

Observation 22fac538-a271-4c7e-b86a-b04655c403eb · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 48

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no resolver link, observed 2026-08-02T20:19:16.690981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:16.690981Z digest=sha256:72af01f87aa89336dd5f5cd1ac799d121d08258e60a79db436b288f9d1628c88

Observation ef794795-c47c-4dfc-8c05-0799626520a4 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 49

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no resolver link, observed 2026-08-02T20:19:16.745769Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T20:19:16.745769Z digest=sha256:62799e72d66fac0c416d245bd166b9718dd8b8e36a6ca2406acdf85c580c3908

Observation 9ed547d4-6636-43d8-9c61-649d360de589 · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Reference 50

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no resolver link, observed 2026-08-02T20:19:16.874204Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:16.874204Z digest=sha256:c80919adb14da36ad7a402d81fc2734c058e3d41c452b27edeacb68b04d22adf

Observation 43922ca4-75e1-459a-b10f-2757e23e1cc5 · outbound

This paper cites https://github.com/huggingface/trl(2020) 10.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework https://github.com/huggingface/trl(2020) 10

Reference 51

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no resolver link, observed 2026-08-02T20:19:16.990175Z

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source=pdf_text observed=2026-08-02T20:19:16.990175Z digest=sha256:ced3cbf84b8a907ba2f1771f3de155011403fdeb107cb445e32d26fe12702ed5

Observation b1582df3-6712-4497-8b0b-058bfd08d6b4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 52

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no resolver link, observed 2026-08-02T20:19:17.090577Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T20:19:17.090577Z digest=sha256:7ce6a1730b8ad11f6537117fe27ba338bfa9b5b04d503a9c43cb151c566f3322

Observation 908f4f95-5cbf-4e6e-ba2f-0bece8458d6a · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 53

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no resolver link, observed 2026-08-02T20:19:17.169695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.169695Z digest=sha256:acdfd6c56ee092cf8f3048b0ea1a20153d8953bb9540f87247288c75b80876f9

Observation e0737aac-4eb1-4935-a26e-16094a7c31ef · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 54

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no resolver link, observed 2026-08-02T20:19:17.273507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.273507Z digest=sha256:4e16aa6ef64d7af0fb89a806acc0f04fe8ddafdf770043b3cfecb4b20507dd11

Observation e120ccee-3a35-41fb-b725-164da5ac8017 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 55

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no resolver link, observed 2026-08-02T20:19:17.355558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.355558Z digest=sha256:5092326afe89d961045640de25546e0fe5727cd22ee973374b4cc3195632f080

Observation f85148e9-91de-480b-902b-788e24b75114 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 56

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unresolved
no resolver link, observed 2026-08-02T20:19:17.457027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.457027Z digest=sha256:84784bc6661d8b8dc9f5c80793f9c04ccf860f06f7388fb65667f04d4cf8c7a7

Observation beeca18e-d2b1-464b-b1e3-598ecc4e571f · outbound

This paper cites Pattern Recognition155, 110714 (2024) 6.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Pattern Recognition155, 110714 (2024) 6

Reference 57

Resolution
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no resolver link, observed 2026-08-02T20:19:17.537008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.537008Z digest=sha256:3d3c8047f782f08dc9dd129af98563b2d1dc4941f1e264b369c42f0427ec08e0

Observation 20d9d905-29ee-4343-b162-a991ad2358e2 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision

Reference 58

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no resolver link, observed 2026-08-02T20:19:17.610498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.610498Z digest=sha256:b0c49f638f687e3acf653d907e9dc79ebdb83d702739bfa86652e721746c5224

Observation 07127ac1-77b1-4542-bf60-8ba6f0a983cf · outbound

This paper cites CoRR (2025) 4.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework CoRR (2025) 4

Reference 59

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no resolver link, observed 2026-08-02T20:19:17.678122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.678122Z digest=sha256:478f42d1f5e69fa63d56132ae8c2e9d775ba491b12118c88152730b2778168c8

Observation 54ee5f04-205f-48ab-8d41-960dac095b47 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 60

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no resolver link, observed 2026-08-02T20:19:17.751573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.751573Z digest=sha256:fbb7b6925ead924fd0f69aee4ba0fc326cf4991c135f6cc2d64181daf4125808

Observation faf31667-fb50-4a07-b6f3-f211e6fe840c · outbound

This paper cites In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework In: Proceedings of the IEEE/CVF Interna- tional Conference on Computer Vision

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T20:19:17.819003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.819003Z digest=sha256:42c224d8525124b7f0b7bea1f45c179e894c6e50030f3eb16c40ecde926138bc

Observation 2825c939-e432-4838-a4b1-6456fd772dab · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-02T20:19:17.878795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.878795Z digest=sha256:87a95ab9ec6662ab0e90c22fc8231d266504111ad030c34b57cd56a6738018f9

Observation 4b9c40e3-2f48-44b9-aed1-f197da9f5f74 · outbound

This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 63

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unresolved
no resolver link, observed 2026-08-02T20:19:17.934527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.934527Z digest=sha256:62018247ef4993c76c0e6a756972c552c1fb7966df04a787125335243cb16b98

Observation 03ad4cbc-e928-44ea-b1f8-b0c945d233cb · outbound

This paper cites Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework Unsupervised Visual Chain-of-Thought Reasoning via Preference Optimization

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-02T20:19:17.996747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:17.996747Z digest=sha256:63c31b7444d6da4d794d8755324c8be2461566950c9eee8fc859e30763f254ff

Observation f53afc1c-bd1e-4e11-a03f-fd6212f5f2d8 · outbound

This paper cites DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning.

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Reference 65

Resolution
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no resolver link, observed 2026-08-02T20:19:18.067693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:18.067693Z digest=sha256:9acdb3c523d05b332cbc0442c416e2e5b4bef47dcd24ea152dc3377fc4e065a2

Observation 367c201d-292e-475e-99c8-f71f33b1a26c · outbound

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

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 66

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no resolver link, observed 2026-08-02T20:19:18.145721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:19:18.145721Z digest=sha256:95245677b7daadab2bd2f19055a583cc708ca9f3824b833bf9f21dbac21c93f8

Pith citing papers

Observation b093fa26-d4ce-4b8a-97aa-daa1ec2ec902 · inbound

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing cites this paper.

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:19:51.127350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T13:53:13.255412Z digest=sha256:ff1e089adfa5145ac6bbf2284ceb303465eb6c886e88b74944b6d47db00a5356