Pith. sign in

Paper Citation Record · LEDGER

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting

As of 5 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.06916.

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

pith.paper-citation-record.v1
2605.06916 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:03:10.009202Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

19 of 19 outbound references displayed

  • verified exact12
  • verified fuzzy2
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72bdbb9e-1f04-4448-b12f-b20cbfb8f997 · outbound

This paper cites Skillful joint probabilistic weather forecasting from marginals.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Skillful joint probabilistic weather forecasting from marginals

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.526054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:d346ddbea495f3a35efabede0063831151d830006c94ea972deb509efa559ff8

Observation d839870a-06f2-41b4-abca-fe0fc33ea88e · outbound

This paper cites Elucidated rolling diffusion models for probabilistic forecasting of complex dynamics.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Elucidated rolling diffusion models for probabilistic forecasting of complex dynamics

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.594805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:b08d2621220e4e309979127f04636f43ac7ba64c7e7fe0c4fb5b662bf4355a82

Observation affafd9b-250c-45da-9782-1a676a3f01e7 · outbound

This paper cites ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.626180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:8f62ac1f41e5be062fefca3389651ce060022ac85ec565a948f9633071fe3c90

Observation f6cfe111-5653-4661-98cc-12acf33ce3be · outbound

This paper cites One Step Diffusion via Shortcut Models.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting One Step Diffusion via Shortcut Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:40:55.602339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:706d95b8f06308d906a305f9e295392bb7dddc7fa7fb97b2f1f974f5a72c70b0

Observation 2d8e7023-9ebf-41e4-946b-5dddf4a8306a · outbound

This paper cites Oneforecast: A universal framework for global and regional weather forecasting.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Oneforecast: A universal framework for global and regional weather forecasting

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.605024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:9936d3f1d89d7f4f1a715273033c8df91e6691bdd3eb3e5abfc848ddc89a6b95

Observation 0202b6c5-188d-4c4c-87cd-edfa73c78aae · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Mean Flows for One-step Generative Modeling

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:29:30.500037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:9b106a8e5473b515f7d0dca7aaddaa1319e294ffbfb92b193f28810d5b4926fa

Observation 37330027-abfa-4c81-bcf6-67990a195c71 · outbound

This paper cites The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.561143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:11b26dfc6720c3b7e0ba33c31c378f40993b32bee030d1bff78c811ba0bae57e

Observation f111cb32-cdbb-47f7-a0f7-e4ca05d1de31 · outbound

This paper cites Flow Matching for Generative Modeling.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Flow Matching for Generative Modeling

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:50:55.666457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:7ee849c5d804cf417a6c54279fbe2c8656082eef1f98f0d6f9cf7234f3be390f

Observation dcf8e5de-b172-49b8-b946-42eb2ce35d77 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:50:55.617888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:5973016c07b2ff9ed7073f9c49185da98f55509666d5825a5994bfae6b26deab

Observation 726e44fc-f2b5-4b6a-9f14-055cecc7e9b7 · outbound

This paper cites Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T10:26:23.772771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:010433be1f1c8db1a48faceac68292029a450ec1675899db784ba932557f7aef

Observation 65f26669-abc0-4eaf-b0eb-5639a50f0dbe · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:04:51.544820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:5dc8c7167be4107400823287da5ddb04a6475535e0d9e5326bc1f31fcd84da7f

Observation 99033c48-9dcd-48d0-9228-7a244267fc92 · outbound

This paper cites GLU Variants Improve Transformer.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting GLU Variants Improve Transformer

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:50:55.574308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:657f1d564afab50d005276e5d10701a33ad42f62a691d945082060756369c865

Observation 3c3efa3d-6c04-4c7d-8640-e1dd9ceb614a · outbound

This paper cites Consistency Models.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Consistency Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:47:29.003852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:ab580ec39fb090702f4a99b796a3893715e06578624550fa5a3c8cbeac5228ce

Observation 9dc68031-9086-4855-a900-03c1133c92c1 · outbound

This paper cites & Kotamarthi, R.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting & Kotamarthi, R

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.660419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:7d788955199203e2f6369c4699313b1af390480018fdfb4f7b9e548b6e0d7dfc

Observation f7c9d464-f85b-4b22-bc18-2bd8e73a22b7 · outbound

This paper cites GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting GEN2: A Generative Prediction-Correction Framework for Long-time Emulations of Spatially-Resolved Climate Extremes

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.568929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:8269d5fdf490f287f17577317a52b1abe412fc8c3f07f5617e068363a556a0bb

Observation b1f92820-147c-48f3-a40b-1cbaa9fc443e · outbound

This paper cites Advanced long-term earth system forecasting by learning the small-scale nature.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Advanced long-term earth system forecasting by learning the small-scale nature

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:55.514024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:8b8af66ffda06461647bcfa04296209703d3daa0fd70aa3d2e4bd82c318653ce

Observation e8c7058c-2bd9-4794-adcf-d5febc020cf2 · outbound

This paper cites Zhang, A.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting Zhang, A

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.558339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:6bb2ffea9d46aebb70bc6db92e1640041cd1154603e6e4f754b71496f668a03e

Observation 4f0431bd-9e8c-470b-8261-1d9b85cd3f72 · outbound

This paper cites LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:50:55.548769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:afa991001f60472a2bd2c3e7d9f74133f9a8831ac6cd098b2cfa33efcdb280c4

Observation 7fe5dc53-41d5-400d-a5e0-698a9e54c5d4 · outbound

This paper cites These variables are defined on 13 standard pressure levels, namely 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 850, 925, and 1000 hPa.

Tyche: One Step Flow for Efficient Probabilistic Weather Forecasting These variables are defined on 13 standard pressure levels, namely 50, 100, 150, 200, 250, 300, 400, 500, 600, 700, 850, 925, and 1000 hPa

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T00:26:59.556647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-11T01:03:10.009202Z digest=sha256:eee0cc8799451c88a996428fad396e925920065522e23d4fb8c2f46a1455dcfc

Pith citing papers

No inbound Pith citation observations are available.