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Paper Citation Record · LEDGER

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.05494.

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

pith.paper-citation-record.v1
2505.05494 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:47.615674Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved30
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45f7806a-b67b-41ee-a0fa-1b84ed3579e8 · outbound

This paper cites URL: " 'urlintro :=.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact URL: " 'urlintro :=

Reference 1

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Observation 48f3c13e-f274-4f05-ab9f-ae4bf9c88b15 · outbound

This paper cites write newline.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact write newline

Reference 2

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This paper cites an unresolved cited work.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 87107857-eed2-4176-a6dc-1c542e5620fa · outbound

This paper cites Post-training 4-bit quantization of convolution networks for rapid-deployment.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Post-training 4-bit quantization of convolution networks for rapid-deployment

Reference 4

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Observation c5ad8b71-ae8e-43bd-9a0f-72d279e928b6 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact SciBERT: A Pretrained Language Model for Scientific Text

Reference 5

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Observation e5d0b0c5-5f5f-4c19-b432-fa965424f66d · outbound

This paper cites Bommarito, D.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Bommarito, D

Reference 6

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verified exact
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Source-reported events for the cited work

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 7

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Observation de15acbc-60dd-462c-a1c2-0083fec6752f · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation a346e13d-db58-4c79-b988-b2988a4acafa · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact LEGAL-BERT: The Muppets straight out of Law School

Reference 9

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Observation d8738f30-66d6-4265-bcd5-c4cf536cad41 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Scaling Instruction-Finetuned Language Models

Reference 10

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Observation 526baaa5-4123-4189-8fbc-9909d5da8f1e · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact QLoRA: Efficient Finetuning of Quantized LLMs

Reference 11

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This paper cites an unresolved cited work.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 12

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Observation df0f3b14-d4db-458f-aa09-650cdd47efe1 · outbound

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

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 13

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 14

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation 7e9f953c-9aa9-4eab-8892-f837a2e3b04f · outbound

This paper cites an unresolved cited work.

An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 16

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Observation 4a412b51-c6d2-4580-b8b5-fbc4e3d4b638 · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Jenkins, Stuart L

Reference 17

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Source-reported events for the cited work

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 18

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Observation 5072fe1a-bb5a-466d-ab69-6d750495b185 · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 19

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Fine-tuning Large Language Models with Sequential Instructions

Reference 20

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 21

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 22

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Active Retrieval Augmented Generation

Reference 23

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 24

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 25

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Observation c2694a9a-84a7-436d-932c-1794f3060182 · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 26

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Source-reported events for the cited work

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Rosenberg, Patrick McCully, and Catherine M

Reference 28

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Source-reported events for the cited work

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Tjong Kim Sang and Fien De Meulder

Reference 29

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Enhancing Knowledge Graph Construction Using Large Language Models

Reference 30

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Observation ca47ed46-fc29-486e-9189-ea7b3068c673 · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact GPT-NER: Named Entity Recognition via Large Language Models

Reference 31

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact Unresolved cited work

Reference 32

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Observation f79e2280-b8c2-48de-ba9c-8c0cd7fd7b25 · outbound

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An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact High Critical Current Density 4 MA/cm2 in Co-Doped BaFe2As2 Epitaxial Films Grown on (La, Sr)(Al, Ta)O3 Substrates without Buffer Layers

Reference 33

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Pith citing papers

No inbound Pith citation observations are available.