Paper Citation Record · LEDGER

Adaptations of AI models for querying the LandMatrix database in natural language

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.12961.

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

pith.paper-citation-record.v1
2412.12961 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:36:21.262459Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy1
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df55498f-726e-4cf7-ac32-7cfa81aa2082 · outbound

This paper cites Boche, T.

Adaptations of AI models for querying the LandMatrix database in natural language Boche, T

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:36:21.561805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e62fc161-d0af-4e04-8f88-d9187f272f26 · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

Adaptations of AI models for querying the LandMatrix database in natural language RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.191997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9764f5-6c96-4388-a0f5-33c7b36d7bf6 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptations of AI models for querying the LandMatrix database in natural language Language Models are Few-Shot Learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.197973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbf4aba-b3f3-44a4-9a0b-1e5e5bac6ced · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Adaptations of AI models for querying the LandMatrix database in natural language BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.203858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae2736f6-8443-4884-829b-164d472bd952 · outbound

This paper cites an unresolved cited work.

Adaptations of AI models for querying the LandMatrix database in natural language Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:36:21.543252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b75ea5a1-0432-4f83-9b79-f47bdf77e5d2 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Adaptations of AI models for querying the LandMatrix database in natural language Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.215850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c23e6a1-a04c-4c99-ae77-b2a0bfb564b5 · outbound

This paper cites SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models.

Adaptations of AI models for querying the LandMatrix database in natural language SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.228661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2962e1a-73fd-4abf-b807-cc5088128ec2 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Adaptations of AI models for querying the LandMatrix database in natural language Code Llama: Open Foundation Models for Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.234543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3cc4831-66bb-445b-8aa7-b6c95d50ed9b · outbound

This paper cites an unresolved cited work.

Adaptations of AI models for querying the LandMatrix database in natural language Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:36:21.522137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a27c1cc-6d60-43af-9789-e80d871c041e · outbound

This paper cites Attention Is All You Need.

Adaptations of AI models for querying the LandMatrix database in natural language Attention Is All You Need

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.246010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a975bec0-5640-4fbe-9c96-c339c6298b0e · outbound

This paper cites Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.

Adaptations of AI models for querying the LandMatrix database in natural language Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.251862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d28edcee-556d-4d92-ac6b-9b7ec355bc85 · outbound

This paper cites A Survey of Large Language Models.

Adaptations of AI models for querying the LandMatrix database in natural language A Survey of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.257658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89329975-0516-42f9-8d96-f1363ed89489 · outbound

This paper cites LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset.

Adaptations of AI models for querying the LandMatrix database in natural language LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:36:21.262459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.