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Paper Citation Record · LEDGER

Efficient Medical VIE via Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2506.13363.

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

pith.paper-citation-record.v1
2506.13363 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:07:32.940649Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88165b4a-c61c-4b95-81f1-b4dc7dd35c0f · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.719234Z digest=sha256:904c116da010c31694f60d010b3c4ed40090765a25c342cc8615c9a55469f3b1

Observation 745b9373-5538-4eec-9ee2-9bb2d99c41db · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.723937Z digest=sha256:4e177a04f75bd254ab4047675db58e5a39f343220abbf4f90d22950fccd598eb

Observation 48e60ed1-1eb9-4f0d-8ce6-b06d477d630f · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.728004Z digest=sha256:25e282ca1cfd4b672b081fd15ab8b3fe30859b39fc4fc46d3ff744cb2792538e

Observation 140ffc85-08dd-4cd3-ada9-9b5e6f962ab3 · outbound

This paper cites Qwen2.5-VL Technical Report.

Efficient Medical VIE via Reinforcement Learning Qwen2.5-VL Technical Report

Reference 4

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source=arxiv_source observed=2026-08-15T20:07:32.732063Z digest=sha256:5370129236fb7de9cb0c05fa5e6e42bd02711bb8bb258f4fc36679cf2bdfe71e

Observation 21c798cd-f84e-476a-8b34-86a54f7680d4 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.736509Z digest=sha256:de9d6e21d4b3e4668be64421529670bad7078d9ebf7ce17da8109cbdd5f40937

Observation 462383e6-dccb-4fb2-8c0f-e0eea6ef5da9 · outbound

This paper cites XDoc: Unified Pre-training for Cross-Format Document Understanding.

Efficient Medical VIE via Reinforcement Learning XDoc: Unified Pre-training for Cross-Format Document Understanding

Reference 6

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source=arxiv_source observed=2026-08-15T20:07:32.740243Z digest=sha256:a4779e1429dae3e62c7d29dd9452b175ae1624463a1f6794e581cc1b60997d02

Observation 40593def-5c1e-4ad5-9828-5edca05b8ef2 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Efficient Medical VIE via Reinforcement Learning Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.744544Z digest=sha256:bf0698bee508841218a23756eb78ea66372abdb2f7936fcb514d49960b72f577

Observation e503597a-d6ab-4396-9eea-e996ce28c636 · outbound

This paper cites GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning.

Efficient Medical VIE via Reinforcement Learning GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning

Reference 8

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source=arxiv_source observed=2026-08-15T20:07:32.748538Z digest=sha256:e87a3b439695c27fc7ac830e8c44731ee848895917f0ca6a43419923ada7981a

Observation 8f1ae0d9-3d35-4fdc-b9bf-5e80d7e6c9ef · outbound

This paper cites Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting.

Efficient Medical VIE via Reinforcement Learning Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

Reference 9

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source=arxiv_source observed=2026-08-15T20:07:32.752495Z digest=sha256:0d538efbc2229172ffb236c0e2b4569f8e95d1b98e4b91e8716633ae8ebad338

Observation addf7860-33c8-4696-bf28-598ebf3d108b · outbound

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

Efficient Medical VIE via Reinforcement Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=arxiv_source observed=2026-08-15T20:07:32.756770Z digest=sha256:5e2a81d0d41957d2cd0f87153d8237419de4238539ad4faa0c9c2f0b21e64d41

Observation e39ac7c8-950a-48d7-b0ac-df1c817b328f · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 938f25ad-08af-4410-825d-481589b20d6c · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 12

Resolution
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.763991Z digest=sha256:9c11ccdc37298f81afcf413c21b2cd82f12b58b01f242215b791dd7e96dce800

Observation fe6df740-4442-4828-9e07-6c62a3d4c2ec · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Efficient Medical VIE via Reinforcement Learning Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-15T20:07:32.767327Z digest=sha256:a0e0a8cca3b8fa34f516b23378c2c603d0e6a348b9b49cb76b53a7516670987e

Observation 3c2e7f3c-f8fa-480e-86e7-6fc9bc008f6b · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.771245Z digest=sha256:c102835040d346f8fe3158c0c5c4a9071f933be57177487e7ce5b22e3ec1493d

Observation 33209933-1583-457e-880f-5355566e4111 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.774849Z digest=sha256:ebb71bb0037c21c8471537ae62cea0325e566b6c4049723e3fb23326d47ec6d0

Observation 6b4a1632-4585-46c9-b05b-e1a435271895 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.778445Z digest=sha256:ba14dd39172e72dbf6f9b0502a3480cd0c2cae18c3506f8714635f9a26b944e1

Observation 966ad411-d3d4-490a-85f7-1a34742f9e6c · outbound

This paper cites Qwen2.5-Coder Technical Report.

Efficient Medical VIE via Reinforcement Learning Qwen2.5-Coder Technical Report

Reference 17

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no resolver link, observed 2026-08-15T20:07:32.781890Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.781890Z digest=sha256:47541d0efd75402c9e1c8a05ad9238a276a84174965cd2f4ffe39fbb5800acb6

Observation ca39ee48-e43d-44b9-80f0-ac5b19b51297 · outbound

This paper cites OpenAI o1 System Card.

Efficient Medical VIE via Reinforcement Learning OpenAI o1 System Card

Reference 18

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source=arxiv_source observed=2026-08-15T20:07:32.785657Z digest=sha256:7d69fe54ee511ef7c966dfe7859fb87c5c247e23b2cc8e957787f176f3604440

Observation 8837b525-6a9e-4d8d-a004-6509324f5381 · outbound

This paper cites FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents.

Efficient Medical VIE via Reinforcement Learning FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

Reference 19

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source=arxiv_source observed=2026-08-15T20:07:32.788828Z digest=sha256:1d7a89669e1cf99be8ab1001c5f73961c6afd0e05f60dbedc46b8d7816cd872d

Observation 74ed1078-a865-4ae8-86f7-521d8e69de89 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-15T20:07:32.792217Z digest=sha256:0b4a9bac5c3ee8a5bb03df67ee9a14bac74f5626070ead0625d106b74a9d4d85

Observation 09069969-53bc-4182-aec9-e12ed3247a83 · outbound

This paper cites OCR-free Document Understanding Transformer.

Efficient Medical VIE via Reinforcement Learning OCR-free Document Understanding Transformer

Reference 21

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source=arxiv_source observed=2026-08-15T20:07:32.795122Z digest=sha256:eb24c2b8d63ff93996373d7cec64cf258cbbbd0e8e8e25583c3bd88d817eb532

Observation 3ab5ef12-b9c5-4328-a390-9fd4074c5785 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-15T20:07:33.650907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.798323Z digest=sha256:54cc8a6bfdbc4929e4411142db5a9b1be6473c23987cff9a4a1e8fdf0a190967

Observation 2ac07f1f-23c7-44ee-8b91-cd0d2d5783e5 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.801860Z digest=sha256:9765cbbf280ac01540dc732fbde932a4f17bad881f1f46b324eba7d7af3e723a

Observation 893ad9d4-8057-4e71-b927-a151c0db9bc0 · outbound

This paper cites Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement.

Efficient Medical VIE via Reinforcement Learning Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Reference 24

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source=arxiv_source observed=2026-08-15T20:07:32.804979Z digest=sha256:0d180dd1fc952d7348de0780d4149948eaba5c8536044f1b67220fae2f807879

Observation 5d2c3be1-739e-454f-8a05-fce427644dc7 · outbound

This paper cites Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators.

Efficient Medical VIE via Reinforcement Learning Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators

Reference 25

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source=arxiv_source observed=2026-08-15T20:07:32.808708Z digest=sha256:0be2b6afd3f612ffc8a055214693c5f4f4f27df76d27dca725b75160cadd8b51

Observation a1615558-5312-4497-a22e-5d869aad8d3e · outbound

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

Efficient Medical VIE via Reinforcement Learning Visual-RFT: Visual Reinforcement Fine-Tuning

Reference 26

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Observation d6fc7d67-c1be-4c1f-997f-926c15052475 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-15T20:07:33.628191Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 408cdee4-b889-46f3-a4e5-69c0c2f94873 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2d48124c-9c16-40ff-813c-24898a52d462 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 29

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Observation 61a516ec-3481-4e4a-a8f3-b64e55068b00 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 30

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Observation bb99b492-f8e1-40fc-ac2a-d4efcf5704cd · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 31

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raw_fallback, observed 2026-08-15T20:07:33.593368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a8a95dca-c406-4aad-bda3-1b6a99a23d53 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 826ff621-32cd-4409-bad9-6c2ea42bf7df · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 54ccf7e9-d0b3-49b8-b339-c4a5cae8fc1d · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0f4b7101-616e-4c3e-8ad9-3968b1787286 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-15T20:07:32.845228Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.845228Z digest=sha256:79e3dafef73d0d344eb96ccbe122c45245b8544ac4ade69d089aeba70414d2f5

Observation 1e5b4d3f-4552-4e1c-8f0a-055119218761 · outbound

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

Efficient Medical VIE via Reinforcement Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 36

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source=arxiv_source observed=2026-08-15T20:07:32.848766Z digest=sha256:05fcc81e0cb494ddda69b690b92e2b827277d275b2d50d69e58f65b69def3115

Observation 7850afa4-5faf-4094-b137-a9a9299ec896 · outbound

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

Efficient Medical VIE via Reinforcement Learning VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 37

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source=arxiv_source observed=2026-08-15T20:07:32.852213Z digest=sha256:3b08d21f0043a674dab8a296a6f2f88bfa0fcc35a08b91c1539a86eb15547be4

Observation 2265a11a-bcd4-4dfd-ac0a-e17596622c07 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Efficient Medical VIE via Reinforcement Learning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 38

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source=arxiv_source observed=2026-08-15T20:07:32.856264Z digest=sha256:ac77ebb720b6354c6098141690ab1d2969eaec8fcdbf214b0e9869cb5ba75d01

Observation ee9aac83-2bfa-4ef9-918d-27332ce5119b · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 39

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raw_fallback, observed 2026-08-15T20:07:33.549128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.859902Z digest=sha256:ff091fce68f0021fd0963f387915ca6999a9af32a19e975074cf538d428b6f16

Observation 818e5c8d-ee5f-4e27-afbf-60437074582f · outbound

This paper cites UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition.

Efficient Medical VIE via Reinforcement Learning UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.863915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.863915Z digest=sha256:60164cf19a0dd1bafa441043f7e19c650cf79d17d65d5fb8965603ad46de23e1

Observation a77a739f-5e45-4c01-8c55-d73158012094 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

Efficient Medical VIE via Reinforcement Learning MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.867780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.867780Z digest=sha256:dd0b4ddbe586d553b1eb4e108a5e627bd7837f9e0983201800372fa5ad241ed6

Observation 4865ba8c-6e27-449c-b529-07fca4e6e191 · outbound

This paper cites Chatschema: development and validation of a pipeline for extracting structured nursing information with large multimodal models.

Efficient Medical VIE via Reinforcement Learning Chatschema: development and validation of a pipeline for extracting structured nursing information with large multimodal models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:33.538275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.871721Z digest=sha256:ca4b9975d457274c95f68e494af9567a4a5220b6d4e5aeaf9d741f42ef27e8fc

Observation 6f15ea14-ccba-43f6-9a15-5dee938996f5 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.525563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.875477Z digest=sha256:5b8baf9411c564b3fb57db504b955414ef9e163b6fe094defce32c8ee2a49b4d

Observation a7736d87-9cd9-4d43-8d7f-bf5d06e672db · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.514796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.879138Z digest=sha256:a36c2b8c15c0ecec0109125b443cf74623d3ae1be0af010cacbe16cdc3709a85

Observation 00453e91-d27e-4141-b2c4-2dd83e789603 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.504546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.882565Z digest=sha256:89aa48aba4410e05a6e1b17d693b9771d48cc21b645e8b392506cb7aa0f8928c

Observation 22d8b55e-b414-4830-bbb1-b992ee000476 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.885802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.885802Z digest=sha256:ceb3439c3e595a55565a6e54366c3266d9d03d8e2872747665a74f51810342e3

Observation 88948ef0-041f-4b33-a248-02c28b3e80d5 · outbound

This paper cites LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.

Efficient Medical VIE via Reinforcement Learning LLaVA-CoT: Let Vision Language Models Reason Step-by-Step

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.889478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.889478Z digest=sha256:da31b3abb18d75d6d03034dccbe3ab3b9576719fb2d84970b9f7495dff3b4cec

Observation fb3a692f-f73e-451b-8bff-479829049f9d · outbound

This paper cites LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding.

Efficient Medical VIE via Reinforcement Learning LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.892858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.892858Z digest=sha256:ae8d56b5960b09cf0eb829afb11106579682a73f67864eef40bc7688933d1905

Observation 6bbdd560-e577-47e5-844b-97dfe095898f · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.896333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.896333Z digest=sha256:796e1c7e95c95305543a19999386092f93cf917ca987256b736d72a384213f22

Observation e1659de7-3ae8-417c-a3ef-118f73d8d043 · outbound

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

Efficient Medical VIE via Reinforcement Learning R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.900013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.900013Z digest=sha256:f165354a50be2033eebe4a3ede9aa53398f0f26aa68a0b480b016aa6f4fb6646

Observation 6fb9e489-ece7-4b75-94cb-438870cb84d1 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.487748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.903784Z digest=sha256:2ed3f645a12069c049c00164bbf94fc3be2b5d652632ac6c9683ca5694f6544f

Observation a9222a38-b5a1-4d06-8aba-a0b5b6a6e9cf · outbound

This paper cites InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Efficient Medical VIE via Reinforcement Learning InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.907307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.907307Z digest=sha256:fd2cf10c3fe0106135f9521481a6f2ff361fd7d0f7602f49efb36c3ee3803442

Observation b2f7a081-d9ec-4414-bb4c-2ecd80e87187 · outbound

This paper cites Perception-R1: Pioneering Perception Policy with Reinforcement Learning.

Efficient Medical VIE via Reinforcement Learning Perception-R1: Pioneering Perception Policy with Reinforcement Learning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.911052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.911052Z digest=sha256:cd2d0e58379ed48d24772ef89b86061261bfa33e7f6afbc05282774c436d315f

Observation 80278853-8a72-4804-9f0e-07d4050fb8d3 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Efficient Medical VIE via Reinforcement Learning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.914603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.914603Z digest=sha256:0be2e55c7a525aace43c97f0a4d384d9a54376a1d0592b2cd4255704bcec169e

Observation 239995b7-ecae-4f74-8746-5c488126928a · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.476685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.918417Z digest=sha256:7e225b07a9e57d1ed2efe466659fd022a34ded51ceed5dfd5bb99e7846d24510

Observation 40d93a95-4a97-4814-9452-20c02bbfd3f6 · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.465928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.921744Z digest=sha256:26f1f4bd52a358dbe48663887ca8ab87d0ead468950384546582ca96e26da030

Observation 5cfa7778-3709-40c8-b441-641ecac46690 · outbound

This paper cites DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.

Efficient Medical VIE via Reinforcement Learning DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.924940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.924940Z digest=sha256:093c1e6cee5e40391c66cddedbd1ef2687dd21f8ddb5da251c43396898fcfbda

Observation bdc49db7-f385-41cc-b2d1-ea55e2e7dafa · outbound

This paper cites an unresolved cited work.

Efficient Medical VIE via Reinforcement Learning Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:07:33.454987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T20:07:32.928719Z digest=sha256:5580052166ac6931d32d438f2f6a65aa7f83533e7c090f69a6d69efae6bba70d

Observation 52129832-20e9-4278-a551-a695d73d49dc · outbound

This paper cites R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model.

Efficient Medical VIE via Reinforcement Learning R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.932309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.932309Z digest=sha256:730f8eab587862380290c0f1164af0e8be47af6073437dfe9d2162cedaceff18

Observation 3da24375-d375-4099-9e84-8b89e1619ce8 · outbound

This paper cites online" 'onlinestring :=.

Efficient Medical VIE via Reinforcement Learning online" 'onlinestring :=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.936187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.936187Z digest=sha256:87a440be30ed9b15b391ebb344bb42d22582df7833f2ec716eaa114688d02f72

Observation 14423f14-6ada-47d4-a7fc-1e230fca4b58 · outbound

This paper cites write newline.

Efficient Medical VIE via Reinforcement Learning write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:32.940649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:07:32.940649Z digest=sha256:0d0739b6756f297925563877361915f18bb823bdc95bd21115889085277328d6

Pith citing papers

No inbound Pith citation observations are available.