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Paper Citation Record · LEDGER

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events

As of 21 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2411.12880.

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

pith.paper-citation-record.v1
2411.12880 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:10:25.207012Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

7 of 7 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dffd7a9e-9540-4d4e-affa-16a37f2377c8 · outbound

This paper cites GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:25.178796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:25.178796Z digest=sha256:f9ba9d986a5908cbc6704cb33f48be2e204a2839e4f80ba3867dc8e2a0a0a235

Observation e43765f7-9944-4385-aa71-18f964ba9cf0 · outbound

This paper cites Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:25.202046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:25.202046Z digest=sha256:b235b48c07ffaff0be78ff212783a3765f10852ef1b7877b233647a1d05b498a

Observation bb92372c-24cf-47af-ae4c-d058814b3e72 · outbound

This paper cites an unresolved cited work.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events Unresolved cited work

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-12T17:10:25.340291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T17:10:25.188120Z digest=sha256:f4efc33feb23f165bf1357da4ee76a8eebd733a7c3d960526f86f20a56fc0ad1

Observation 395f3719-ba72-4ab8-9d1a-4206ce26aff7 · outbound

This paper cites Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Reference 128

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:25.183602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:25.183602Z digest=sha256:7ebc0e3d771e07d2072a6f966a51eda797b32fdf608d8a9dafb25c56d7c42774

Observation b5c4616a-1376-4492-ac99-d189335aa563 · outbound

This paper cites GeoAI Reproducibility and Replicability: a computational and spatial perspective.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events GeoAI Reproducibility and Replicability: a computational and spatial perspective

Reference 385

Resolution
verified exact
local_arxiv, observed 2026-08-12T17:10:25.269547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T17:10:25.192001Z digest=sha256:41c142b11748ca2240db1a821af039e5f14da5802a4d015c9f56b2043c19d102

Observation b05cbb07-df67-4198-9e54-3b0da10c0167 · outbound

This paper cites Large Search Model: Redefining Search Stack in the Era of LLMs.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events Large Search Model: Redefining Search Stack in the Era of LLMs

Reference 480

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:25.207012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:25.207012Z digest=sha256:efb1b0381a5536ae2e2f6e759fa21c54354a1688dc0ae5e760987e916e574c97

Observation 33f2dd15-72c0-48e4-8a03-c086e35e8e29 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 496

Resolution
unresolved
no resolver link, observed 2026-08-12T17:10:25.196946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:10:25.196946Z digest=sha256:c2efb6a7713b2907a6ef13bfd1469863abd26c47a0971dc26abb7b96950f2744

Pith citing papers

No inbound Pith citation observations are available.