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Paper Citation Record · LEDGER

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model

As of 4 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.19600.

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

pith.paper-citation-record.v1
2605.19600 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T04:58:09.950240Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

31 of 31 outbound references displayed

  • verified exact11
  • verified fuzzy20
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4598482c-fdd7-49b7-bb01-f9c546487efe · outbound

This paper cites Scaling Laws for Neural Language Models.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Scaling Laws for Neural Language Models

Reference 1

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local_arxiv, observed 2026-05-20T05:03:03.955244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 473a2bd8-73ba-496e-8cab-5eef0624382b · outbound

This paper cites Gen-1: Scaling embodied foundation models to mastery.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Gen-1: Scaling embodied foundation models to mastery

Reference 2

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raw_fallback, observed 2026-05-20T05:03:06.368989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 9804ef05-74bb-4a2a-8ec2-11875ce5efc7 · outbound

This paper cites UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model UAV-Flow Colosseo: A Real-World Benchmark for Flying-on-a-Word UAV Imitation Learning

Reference 3

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arxiv_id, observed 2026-05-20T05:03:03.877395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 87114318-327d-4d2b-8770-5e9beb49861a · outbound

This paper cites Vision-and-language nav- igation: Interpreting visually-grounded navigation instructions in real environments.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Vision-and-language nav- igation: Interpreting visually-grounded navigation instructions in real environments

Reference 4

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raw_fallback, observed 2026-05-20T05:03:06.345379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 0227ff3b-aeea-44ed-98cc-933c0cc89ffc · outbound

This paper cites Room- Across-Room: Multilingual vision-and-language navigation with dense spatiotemporal grounding.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Room- Across-Room: Multilingual vision-and-language navigation with dense spatiotemporal grounding

Reference 5

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raw_fallback, observed 2026-05-20T05:03:06.350816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c7b5d897-f16b-4e07-8067-ca84a089fe52 · outbound

This paper cites Beyond the nav-graph: Vision and language navigation in continuous environ- ments.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Beyond the nav-graph: Vision and language navigation in continuous environ- ments

Reference 6

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raw_fallback, observed 2026-05-20T05:03:06.356462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 6cbb9136-bb9d-4c38-97eb-63ccd75a5e03 · outbound

This paper cites Towards physically executable 3d gaussian for embodied navigation.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Towards physically executable 3d gaussian for embodied navigation

Reference 7

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arxiv_id, observed 2026-05-20T05:03:03.902697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation db05f581-62fc-4165-9e29-969a32590a84 · outbound

This paper cites OpenFly: A comprehensive platform for aerial vision-language navigation.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model OpenFly: A comprehensive platform for aerial vision-language navigation

Reference 8

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arxiv_id, observed 2026-05-20T05:03:03.909806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d86bd06e-e2cd-44f1-bfbb-e0fa33860801 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model A formal basis for the heuristic determination of minimum cost paths

Reference 9

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raw_fallback, observed 2026-05-20T05:03:06.338313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation baa5af11-a378-4f73-a539-ce2dc204de5f · outbound

This paper cites Marble models.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Marble models

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation f469790b-0cce-418e-b3e2-efbb227d5db2 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model 3d gaussian splatting for real-time radiance field rendering

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b5735250-d217-4df3-9a32-cc837d1f6466 · outbound

This paper cites Interiorgs: A 3d gaussian splatting dataset of semantically labeled indoor scenes.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Interiorgs: A 3d gaussian splatting dataset of semantically labeled indoor scenes

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 92e8612a-c6eb-42fb-b758-d12c45143fb6 · outbound

This paper cites Citynav: Language-goal aerial navigation dataset with geographic information.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Citynav: Language-goal aerial navigation dataset with geographic information

Reference 13

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raw_fallback, observed 2026-05-20T05:03:06.321758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:036f68a15c00ee45755060c45754b08d1392fcc37c508b3602e5a8495a7defcc

Observation 39a01e06-758f-4994-aced-398a2efdd531 · outbound

This paper cites Aerialvln: Vision-and-language navigation for uavs.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Aerialvln: Vision-and-language navigation for uavs

Reference 14

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raw_fallback, observed 2026-05-20T05:03:06.327235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:f092cd09457f7850dfd0cebf085385b23fd8ba6cb869e856097ef2300f73e4cd

Observation 30957f8a-49d5-43b7-9b34-c5b3d01bc956 · outbound

This paper cites Aerial vision-and-dialog navigation.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Aerial vision-and-dialog navigation

Reference 15

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raw_fallback, observed 2026-05-20T05:03:06.297628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:518221f39f204c8ab075eab8a8e08172e465fb92e215910d7c99655bdea747ff

Observation 5e941778-354f-4c2e-91f4-a5f0cbb9ca61 · outbound

This paper cites Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology

Reference 16

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arxiv_id, observed 2026-05-20T05:03:03.937561Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d009ef11-894e-4803-9343-ae492a9a1011 · outbound

This paper cites Learning Vision-and-Language Navigation from YouTube Videos.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Learning Vision-and-Language Navigation from YouTube Videos

Reference 17

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arxiv_id, observed 2026-05-20T05:03:03.930172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 24de6cf9-071b-4571-aab5-b286a7ba9c51 · outbound

This paper cites RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation

Reference 18

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arxiv_id, observed 2026-05-20T05:03:03.886048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:d9e571fc09bcf32f67e42420b121acc2d030f3e84b441eafae3c7041d433c841

Observation 79c35fc0-3356-4743-922b-926ab528c896 · outbound

This paper cites Holodeck: Language guided generation of 3d embodied ai environments.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Holodeck: Language guided generation of 3d embodied ai environments

Reference 19

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raw_fallback, observed 2026-05-20T05:03:06.292956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation af94c113-73bb-4091-a97c-4aad95b637fe · outbound

This paper cites Sceneweaver: All-in-one 3d scene synthesis with an extensible and self-reflective agent.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Sceneweaver: All-in-one 3d scene synthesis with an extensible and self-reflective agent

Reference 20

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:117850ae19c501dd40d3822eaa6dc28af5e26a44c39be9c2eb6de8c53980544d

Observation cb4e3232-f3f8-4b20-b174-5187ff295f9b · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 21

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local_arxiv, observed 2026-05-20T05:03:03.944291Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:11a2294508548d56da049777569cae50d04db2c28d34ff1dd395d23d5c2ac8a4

Observation 199c827c-519d-41b3-afba-334a2115bf1b · outbound

This paper cites Boxer: Robust lifting of open-world 2d bounding boxes to 3d.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Boxer: Robust lifting of open-world 2d bounding boxes to 3d

Reference 22

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raw_fallback, observed 2026-05-20T05:03:06.266432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a5b9853c-bfc9-439a-876f-3360901d0374 · outbound

This paper cites gsplat: An open-source library for gaussian splatting.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model gsplat: An open-source library for gaussian splatting

Reference 23

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raw_fallback, observed 2026-05-20T05:03:06.261336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:2fe1dffc253653f81080749e61e291e00e4d1c3c39f69697a666b84be473a41c

Observation 04b6338e-18e2-4941-8239-2c70abb8c231 · outbound

This paper cites Ego-planner: An esdf- free gradient-based local planner for quadrotors.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Ego-planner: An esdf- free gradient-based local planner for quadrotors

Reference 24

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raw_fallback, observed 2026-05-20T05:03:06.272626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:19e5339379f9093508f48a523107f9fa9917967204e6e0d86a57e58395202472

Observation 0c32df9e-7b49-4ddf-b179-c4a01262c5bb · outbound

This paper cites Towards long-horizon vision-language navigation: Platform, benchmark and method.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Towards long-horizon vision-language navigation: Platform, benchmark and method

Reference 25

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raw_fallback, observed 2026-05-20T05:03:06.285965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:5e0362d0bb21400d5d7f97fb961bc59b6298167baaca404bd56dea87cc057210

Observation 4cfa4b3a-a9a3-4135-b096-57f9d664d8e4 · outbound

This paper cites Indooruav: Benchmarking vision-language uav navigation in continuous indoor environments.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Indooruav: Benchmarking vision-language uav navigation in continuous indoor environments

Reference 26

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raw_fallback, observed 2026-05-20T05:03:06.302690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:c3a888a3e234c62cd0cd0e0989644d6d177c8af2ac5debe26c0590fe212770a2

Observation fb571128-2649-47d7-9e2a-05f3739297bb · outbound

This paper cites Qwen3.5: Towards native multimodal agents.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Qwen3.5: Towards native multimodal agents

Reference 27

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raw_fallback, observed 2026-05-20T05:03:06.315842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:69816a5aa334146e4472cd4c648310f5cb07b00ebccdceaf97ede65aa404aa8f

Observation 731c3d09-7b2a-49e3-9029-4680e4ed60b0 · outbound

This paper cites Available: https://qwen.ai/blog?id=qwen3.5.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Available: https://qwen.ai/blog?id=qwen3.5

Reference 28

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raw_fallback, observed 2026-05-20T05:03:06.252998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:d88eb3e635b7dac2900aef3ece10380cdcb122fa6029c1ce9f65c9a2e2d526f9

Observation 42e9f521-e40a-4797-a7a5-0218d4f65f86 · outbound

This paper cites Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Reference 29

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local_arxiv, observed 2026-05-20T05:03:03.918339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:edeb60db98af06e646f04f0b22e7e9cc51b77ef5ac567fc89ef92f04d03d0051

Observation 5e5e1167-79aa-4d0c-a4d3-b2a7a2c5fc20 · outbound

This paper cites Vla-an: An efficient and onboard vision-language-action framework for aerial navigation in complex environments.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Vla-an: An efficient and onboard vision-language-action framework for aerial navigation in complex environments

Reference 30

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arxiv_id, observed 2026-05-20T05:03:03.894314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:a001cc4a060c599f72f34f59133e1d3edb4385dff7ab5eb0dc2a403e37fba420

Observation 80b6207a-3715-4792-ae38-30457c792f97 · outbound

This paper cites Navdreamer: Video models as zero-shot 3d navigators.

FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World Model Navdreamer: Video models as zero-shot 3d navigators

Reference 31

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verified exact
arxiv_id, observed 2026-05-20T05:03:03.870226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T04:58:09.950240Z digest=sha256:dac3257484b0331056df81d7388afd78a1f8c011d04a4368fbde2070344aa058

Pith citing papers

No inbound Pith citation observations are available.