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Paper Citation Record · LEDGER

LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.01165.

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

pith.paper-citation-record.v1
2404.01165 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:28:58.424037Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T13:35:46.196169Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 60be177e-e1d4-4a3b-853f-55cb20291c3e · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T21:28:58.424037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:28:58.424037Z digest=sha256:4ea51c03a78a7429a4027fb8c284a68c7bcd2494400921be14fb7cd494fb5bda

Observation 54e99542-bcda-4481-8293-e097b205b706 · inbound

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation cites this paper.

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T19:36:33.534797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:36:33.534797Z digest=sha256:ad4d4ec7f0b529fb5729087490ec80ce3a12201ab60629a869d0d838a139edfb

Observation 1fef85ef-e72d-4998-9dbd-92933b7c4461 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.415676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:67c10e1a45b57a73558077521f898a41cf5f0a17a08e46274e0c6751e1f89925

Observation 34b3310d-8151-467e-a6ea-8894e5d987d1 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery LITE: Modeling Environmental Ecosystems with Multimodal Large Language Models

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.198394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:d6647388ffe990b39a0447720b162da494e03802898335d28c717a981c068a7d