Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:35.477535Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 29 inbound Pith citation observations for arXiv:2506.17221.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:35.477535Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:28:52.281460Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-05T11:41:02.489833Z
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 95820f54-6477-4737-adfc-a83fcceeb0bc · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning On Evaluation of Embodied Navigation Agents
Reference 1
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Observation 03b99020-06ec-4168-a455-16f04ced02dc · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Reference 2
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Observation e5c9ecc8-645d-4305-b11c-2fbe24adca73 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning InternLM2 Technical Report
Reference 3
Source-reported events for the cited work
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Observation 39cce60e-1488-4877-8bc3-a49c2a7001e1 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Matterport3D: Learning from RGB-D data in indoor environments
Reference 4
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Observation 0207b2e9-a086-4c2f-8608-a1fac5f3f3c1 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Mapgpt: Map-guided prompting for unified vision-and-language navigation
Reference 5
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Observation e78035b7-549d-4078-b256-330e318eab6b · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Topological planning with transformers for vision-and-language navigation
Reference 6
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Observation bc4f4967-a47e-4ded-87b0-f95b28402055 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Weakly-supervised multi-granularity map learning for vision-and-language navigation
Reference 7
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Action-aware zero-shot robot navigation by exploiting vision-and-language ability of foundation models
Reference 8
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Observation d730a088-f690-4c8d-a931-221c2bd60bb4 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning History aware multimodal transformer for vision-and-language navigation
Reference 9
Source-reported events for the cited work
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Observation b41ab028-19db-4a8e-a4b5-753ec7b0ef97 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Uniter: Universal image-text representation learning
Reference 10
Source-reported events for the cited work
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Observation f4e8e106-83e4-4343-81d7-e9d8bec7007b · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation
Reference 11
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Observation c9741b62-7064-4284-a6f4-b7f06ec1a3c8 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Cross-modal map learning for vision and language navigation
Reference 12
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Observation 697f58a8-9f65-4993-9ff7-9268d923dbbd · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Airbert: In-domain pretraining for vision-and-language navigation
Reference 13
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Observation 785dd256-8062-4a6d-a829-f1952d97f422 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 14
Source-reported events for the cited work
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Observation 3f99d3f0-6805-467f-94f1-0230da081561 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Towards learning a generic agent for vision-and-language navigation via pre-training
Reference 15
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Observation 17049884-3f30-4baf-af0b-8db308361993 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Bridging the gap between learning in discrete and continuous environments for vision-and-language navigation
Reference 16
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Observation 806dff77-4bba-4208-a52a-4979530cd93b · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Visual language maps for robot navigation
Reference 17
Source-reported events for the cited work
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Observation c4658de4-9c2e-4aa0-b1f2-327923451d36 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Qwen2.5-Coder Technical Report
Reference 18
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Observation 99160d84-0f57-43c3-937b-616320948f42 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
Reference 19
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Observation e1840740-6108-41ca-a6b0-109baf4aaf77 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Preference Optimization for Reasoning with Pseudo Feedback
Reference 20
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Observation 802f7653-1b0d-4e2a-b34c-618cc36a8ec6 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Waypoint models for instruction-guided navigation in continuous environments
Reference 21
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Observation 7a30ae0f-578e-42f2-9d6c-ca424061c678 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Sim-2-sim transfer for vision-and-language navigation in continu- ous environments
Reference 22
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Observation 0a56a40f-7e5e-455b-b4f6-108cf6bc48f7 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Beyond the nav-graph: Vision and language navigation in continuous environments
Reference 23
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Observation e520c7a6-6cfc-4087-9022-9f0c700f1ad7 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Room-across- room: Multilingual vision-and-language navigation with dense spatiotemporal grounding
Reference 24
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Observation c940f246-21f2-45bc-9120-d0d5e31d92c4 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 25
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Observation 294741cb-7211-46f6-9a0c-efdb784586c5 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning LLaVA-OneVision: Easy Visual Task Transfer
Reference 26
Source-reported events for the cited work
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Observation 88b44393-45b1-4300-b672-c7118fe9035f · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning VisualBERT: A Simple and Performant Baseline for Vision and Language
Reference 27
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Observation 9d7b072b-2819-49f8-89ec-b0ca015c7125 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Oscar: Object-semantics aligned pre-training for vision-language tasks
Reference 28
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Observation 0da77dcf-3ab5-4fe2-9120-8f1fc6bbd410 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning DeepSeek-V3 Technical Report
Reference 29
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Observation 7a3af02d-e39d-4fc3-9183-98dedf14e1f8 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Reference 30
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Observation 0a325bba-ec89-4346-a5f6-d4d744577944 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Visual instruction tuning
Reference 31
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Observation 67aede46-2b0c-45b4-87fc-9d58544cd12d · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
Reference 32
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Observation 3ffb0c44-ba32-4a86-9701-b58cf209230d · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Instructnav: Zero-shot system for generic instruction navigation in unexplored environment
Reference 33
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Observation 5f45575c-524a-4a69-a58f-e9dccd63ccaa · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions
Reference 34
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Observation 1630eed5-2748-4040-ad58-ae41279ceef6 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Openeqa: Embodied question answering in the era of foundation models
Reference 35
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Observation 04aecad7-8264-4423-9a18-067a2b59e62e · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Improving vision-and-language navigation with image-text pairs from the web
Reference 36
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Observation 52a91510-ec62-4ba5-8dd6-26896011261a · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Core challenges of social robot navigation: A survey.ACM Transactions on Human-Robot Interaction, 2023
Reference 37
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Observation 2f3dc8c7-0ce2-4101-814d-4c1c5b642f5a · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation
Reference 38
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Observation 5fee35b4-0900-41df-a076-6127f161c7c8 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Hello gpt-4o, 2024
Reference 39
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Observation a353eb50-356f-489e-80fa-cd2efd9adf0a · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Reference 40
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Observation 92d978e1-ad7d-4697-b8b2-2741cb00972b · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Hop: History- and-order aware pre-training for vision-and-language navigation
Reference 41
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Observation 9cc78092-9cd9-421b-86ac-0e845ac13106 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning March in chat: Interactive prompting for remote embodied referring expression
Reference 42
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Observation 7c358a7f-d137-4465-9834-efd9306310f0 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Direct preference optimization: Your language model is secretly a reward model
Reference 43
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Observation 5dc97792-0628-496d-88d0-8f3ffcae0902 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Reference 44
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Observation 2a45ed90-b05c-4e60-aa7a-3d9eff51b244 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
Reference 45
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Observation 03faa876-b8ed-4f59-9b04-28bda83bdc0e · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Habitat: A Platform for Embodied AI Research
Reference 46
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Observation af473092-c51e-41af-ae58-b89b1d093ac0 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Proximal Policy Optimization Algorithms
Reference 47
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Observation ea8bbc1f-f466-4dc8-ac43-b7f4575299b5 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action
Reference 48
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Observation c4eda079-a033-49f0-bd35-e33ab1691b84 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 49
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Observation cdf2fac2-3abc-4af1-a821-ff090a05bdb1 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Reference 50
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Observation 20bac8e7-16be-4130-8bb0-a77188020fda · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Aligning Large Multimodal Models with Factually Augmented RLHF
Reference 52
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Observation 0add378d-4fe4-4695-aec2-e461b438987f · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Lxmert: Learning cross-modality encoder representations from transformers
Reference 53
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Observation 471ca004-79fa-4a4e-b5bd-95f5debe78f2 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 54
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Observation e0723114-6cbb-4338-a40e-6655eb42e865 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 55
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Observation eac053ab-16e0-427a-bbf0-39a34d8e9763 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Cross-modal semantic alignment pre-training for vision-and-language navigation
Reference 56
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning RlHF-V: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback
Reference 57
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Reference 58
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Uni-navid: A video-based vision-language-action model for unifying embodied navigation tasks
Reference 59
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Navid: Video-based vlm plans the next step for vision-and-language navigation
Reference 60
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
Reference 61
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Observation 342689a5-54d0-457f-b725-6638bf4380a0 · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning o1-Coder: an o1 Replication for Coding
Reference 62
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Observation 8fe4223b-2061-47d0-bd69-ad85a6f78bbc · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
Reference 63
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Towards learning a generalist model for embodied navigation
Reference 64
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Observation 214c657b-3da0-4473-be45-54f0f86dbf7f · outbound
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Navgpt-2: Unleashing navigational reasoning capability for large vision-language models
Reference 65
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Reference 66
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Reference 67
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VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning Deep Learning for Embodied Vision Navigation: A Survey
Reference 68
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Reference 140
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Reference 50
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Reference 76
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Reference 24
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Reference 42
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Reference 24
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Observation 062ae992-5bef-4e9a-af06-a426058fbc1f · inbound
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Reference 22
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Observation d7e87bfa-b62d-4502-b272-c4e2f2ccce5b · inbound
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Reference 9
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Observation 9f612723-deee-4adf-a40e-1a7f51c2744e · inbound
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Reference 77
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Observation c75ecfb5-fb62-42f1-a8d0-f4067bd19a30 · inbound
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Reference 77
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Reference 54
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Observation 79ce5e0b-fb83-47c5-bf81-7c5e0cf19292 · inbound
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Reference 84
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Observation f66da04d-f31d-4ccc-9688-5ff8f158570e · inbound
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Reference 30
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Reference 32
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Reference 36
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Reference 22
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Reference 37
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Reference 18
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Reference 32
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Reference 239
Source-reported events for the cited work
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Reference 43
Source-reported events for the cited work
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Reference 19
Source-reported events for the cited work
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Observation 86424cd5-e548-4337-b63d-c8f01723c1ad · inbound
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Reference 11
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Observation 7b9be73c-fe2f-4bf4-b991-db29888e2848 · inbound
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Reference 25
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Observation 918d788f-3643-4bfe-b999-c2ffe3ed2f8f · inbound
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Reference 28
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