Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:05:49.954123Z
Paper Citation Record · LEDGER
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems
As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2509.01972.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
26 of 26 outbound references displayed
- verified exact2
- verified fuzzy11
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 421e8bea-72cd-4c6d-9da5-f91eeae6326c · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.399661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 87d8779d-287b-4ec6-803c-dc739ef17567 · outbound
This paper cites Transfer learning was more effective for the resolution coarsening scenarios, where model structures remained the same or similar but spatial heterogeneity was high.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Transfer learning was more effective for the resolution coarsening scenarios, where model structures remained the same or similar but spatial heterogeneity was high
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.389249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 304d601f-9b8b-45e8-b301-eee161cd74bd · outbound
This paper cites aggregated.
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.378784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c630d298-b171-4398-9811-0cf66423c06c · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.368367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 92a9cafb-6056-4ce4-a88a-4b8733dafd40 · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.358081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ae70fcb1-b462-4499-aaed-7a4b88ab02ac · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.348005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f943efba-5dd5-4e0a-93ea-9ed8675a66ab · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.337325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1dff6400-bc2f-495d-9aa8-da84197b501b · outbound
This paper cites 5(c)): Despite using a different nitrification equation, the model reproduce d outputs with good accuracy, demonstrating transferability between formulations in EcoHydroModel.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems 5(c)): Despite using a different nitrification equation, the model reproduce d outputs with good accuracy, demonstrating transferability between formulations in EcoHydroModel
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.327308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 299cfac3-b4c1-42f3-ae44-332cd14189bc · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.316776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3e7c75de-3aae-421c-bf2f-8e543b45e561 · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.306983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 00db6e94-b73e-4464-a6b1-0d788434253b · outbound
This paper cites This limits their ability to configure models, identify dominant processes, or implement structural changes.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems This limits their ability to configure models, identify dominant processes, or implement structural changes
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.296816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 52fc7454-f167-4971-8077-887eef934c62 · outbound
This paper cites This complexity manifests as unstructured data and code architectures, hindering AI from constructing coherent, structured representations.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems This complexity manifests as unstructured data and code architectures, hindering AI from constructing coherent, structured representations
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.286254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 153a4df2-6dec-4e53-a9d4-f0d1c7b515cb · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.275918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 43405863-fd2b-44ea-8429-17efcb91da47 · outbound
This paper cites Without domain -specific priors, AI models often struggle to transfer knowledge across watersheds or adapt to unfamiliar simulation settings.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Without domain -specific priors, AI models often struggle to transfer knowledge across watersheds or adapt to unfamiliar simulation settings
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.265660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation da43693d-761c-4707-b2b4-f7e08c03cbd6 · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.255385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dca86ac0-2263-426a-a6ee-b2eee190549f · outbound
This paper cites Brain (B): Knowledge Integration and Human-like Reasoning.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Brain (B): Knowledge Integration and Human-like Reasoning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.244912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 16a1bf01-8f9f-4669-b85d-2bfcca87ded6 · outbound
This paper cites Instruction tuning aligns this knowledge with domain semantics for targeted reasoning.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Instruction tuning aligns this knowledge with domain semantics for targeted reasoning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.234240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 30f6f476-07b2-4e21-a5a6-b2461a9ed37f · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.222724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0b512ad7-3859-42ee-a3d2-f3980008181f · outbound
This paper cites Hands (H): Model Construction, Execution, and Validation.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Hands (H): Model Construction, Execution, and Validation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.212201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 88ee7bd8-7c92-4c29-b26a-56641584082a · outbound
This paper cites They begin with the definition of conceptual structures and the assembly or selection of model components.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems They begin with the definition of conceptual structures and the assembly or selection of model components
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.200762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cbaecbc0-7029-4b4f-b6fa-92a87e34e7ed · outbound
This paper cites Integration of knowledge graphs and causal reasoning enables evaluation of ecohydrological impacts and supports multi-objective optimization.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Integration of knowledge graphs and causal reasoning enables evaluation of ecohydrological impacts and supports multi-objective optimization
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T12:05:50.187703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6dc17086-5df6-487b-acb7-48fee3397e21 · outbound
This paper cites an unresolved cited work.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T12:05:50.177038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b39d47a9-67dd-4c4d-add4-3bb758c96f38 · outbound
This paper cites overparameterization.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems overparameterization
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-05T12:05:50.093586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 27ee764b-8393-4c31-98be-13dc6a5ecc43 · outbound
This paper cites Stochastic Training is Not Necessary for Generalization.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems Stochastic Training is Not Necessary for Generalization
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T12:05:50.000752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 150e8808-9e1f-4fec-952e-f2bfe61a1039 · outbound
This paper cites high-flow.
Reference 2331
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:05:49.954123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1771c6e-d55b-47d4-8a80-5d3138088ac7 · outbound
This paper cites H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V.
Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V
Reference 7555
- Resolution
- verified exact
- doi, observed 2026-08-05T12:05:49.986877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.