Paper Citation Record · LEDGER

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.03217.

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

pith.paper-citation-record.v1
2607.03217 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:03:57.058629Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

29 of 29 outbound references displayed

verified exact1
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5eb4d702-9a5b-4918-a98d-ad79bd3280bf · outbound

This paper cites Water Resources Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Water Resources Research , volume=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 097c799b-ab06-4271-a6ae-c970449b9b0f · outbound

This paper cites npj Artificial Intelligence , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models npj Artificial Intelligence , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e013174-2c70-42b1-814d-aad5e809a346 · outbound

This paper cites Quarterly Journal of the Royal Meteorological Society , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Quarterly Journal of the Royal Meteorological Society , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 880f29cd-2c7f-4e02-9c80-1611134ecccc · outbound

This paper cites Hydrology and Earth System Sciences , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Hydrology and Earth System Sciences , volume=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 837747b7-925f-4ec6-8ef8-94eafb7cd66c · outbound

This paper cites Artificial Intelligence for the Earth Systems , year=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Artificial Intelligence for the Earth Systems , year=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb55d31-5e3a-4a60-a004-9261591f4f49 · outbound

This paper cites Hydrology and Earth System Sciences , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Hydrology and Earth System Sciences , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1cd7b6d-b464-4f9a-a427-863eea644640 · outbound

This paper cites Authorea Preprints , year=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Authorea Preprints , year=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f018173-d02d-4e2a-8e73-cd94c3338d88 · outbound

This paper cites Weather and Forecasting , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Weather and Forecasting , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27c08720-189a-49bc-965c-a876160a9106 · outbound

This paper cites 2005 , publisher=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models 2005 , publisher=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 441532d9-f58e-4e07-8afd-9b1da2967fab · outbound

This paper cites Geophysical Research Letters , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Geophysical Research Letters , volume=

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9e52e40-f8d6-4a57-b22c-a0dbc9673e1d · outbound

This paper cites 2021 , publisher=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models 2021 , publisher=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a30a55c-319f-40c9-8fd8-f7e079facf99 · outbound

This paper cites Bulletin of the American Meteorological Society , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Bulletin of the American Meteorological Society , volume=

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4d07d46-0879-4792-887c-347faf848fa3 · outbound

This paper cites Journal of hydrology , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Journal of hydrology , volume=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12ce2c8-9556-42f1-be79-8c5a9e3c0edc · outbound

This paper cites and Klotz, D.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models and Klotz, D

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b113a4-d76f-449d-b670-55a59b8f761e · outbound

This paper cites Water Resources Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Water Resources Research , volume=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c19b420f-17b9-4667-9063-27d6facdb0d6 · outbound

This paper cites Scientific Data , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Scientific Data , volume=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6babfa22-9a75-4a68-9610-1c1eec10ffd5 · outbound

This paper cites Journal of Geophysical Research: Machine Learning and Computation , volume =.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Journal of Geophysical Research: Machine Learning and Computation , volume =

Reference 17

Resolution: verified exact; doi, observed 2026-07-12T04:08:32.279471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation accc20ec-c65e-4fc1-b904-4d21c7e6ea13 · outbound

This paper cites Water Resources Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Water Resources Research , volume=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b431da1-2640-49a7-af67-8ee58dce932b · outbound

This paper cites Water Resources Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Water Resources Research , volume=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a53c6bd-1699-42af-8880-6305323bcbf1 · outbound

This paper cites Bifidelity Parameter Estimation Using Conditional Diffusion Models.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Bifidelity Parameter Estimation Using Conditional Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e42abe70-6ea1-45c7-9a12-ed98578063f5 · outbound

This paper cites an unresolved cited work.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1e73cc-14b5-4598-be5f-1331f0e04af3 · outbound

This paper cites Water Resources Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Water Resources Research , volume=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1538f694-7557-4fca-96ad-02f595085ece · outbound

This paper cites EGUsphere , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models EGUsphere , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd88d27d-6d4f-44a0-a9f9-c54b32d9da8f · outbound

This paper cites Ecology and Evolution , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Ecology and Evolution , volume=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d403228d-2732-4c9c-b3e5-10f0ee49bc3a · outbound

This paper cites Journal of Disaster Research , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Journal of Disaster Research , volume=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96e1c76-cf65-4554-ad18-7b0541cfe088 · outbound

This paper cites Hydrological Research Letters , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Hydrological Research Letters , volume=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e8848b-fae5-4308-ae08-d7e18584af82 · outbound

This paper cites RSMC Tokyo--Typhoon Center Technical Review , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models RSMC Tokyo--Typhoon Center Technical Review , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ee642e-e984-4507-8dcf-bbfe16616a2f · outbound

This paper cites Journal of JSCE , volume=.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Journal of JSCE , volume=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d448009-10e3-485a-ba7e-fc21f6eb5034 · outbound

This paper cites an unresolved cited work.

Joint distribution of upstream runoff governs downstream river-discharge prediction uncertainty in distributed ML models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T04:03:57.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.