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Paper Citation Record · LEDGER

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.11289.

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

pith.paper-citation-record.v1
2411.11289 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:45:47.456648Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

49 of 49 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e505cc8e-abb1-461d-a3f9-9e173c33a16a · outbound

This paper cites online" 'onlinestring :=.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models online" 'onlinestring :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5877f6c-8252-4ead-a9cf-37c6047e80cf · outbound

This paper cites write newline.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models write newline

Reference 2

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no resolver link, observed 2026-08-12T18:45:47.281045Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-12T18:45:47.281045Z digest=sha256:f7aabcd9af9b7f2813825d038c856edcb30b67c2dc81a6dc530c937754ed97f1

Observation a88e7e4e-3016-4037-b503-f83531d6c160 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 3

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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.

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Observation 49244de8-3e6e-493f-bb21-2d486fef0b19 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 4

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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.

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Observation 4a628319-8cf8-44c8-bd8a-b33e7edf056c · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 5

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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.

source=arxiv_source observed=2026-08-12T18:45:47.293373Z digest=sha256:e05d8cb6001d5016ba7df04ade304528bd7d394df4fa2cf2c1e4a187fadbb533

Observation c4d78c37-cda5-4eff-9b41-cb463bd6fb13 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-12T18:45:47.297558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:45:47.297558Z digest=sha256:bc427181dd706a051cc7e37acedc1941ff809d7a808d2aff6e2bdf85e9e2d15a

Observation 71be09d8-9059-4f0c-8cce-b89197e44551 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-12T18:45:47.966152Z

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.

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Observation 5647e516-a565-4874-8267-3ee41f1a8693 · outbound

This paper cites Adapting Large Language Models to Domains via Reading Comprehension.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Adapting Large Language Models to Domains via Reading Comprehension

Reference 8

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unresolved
no resolver link, observed 2026-08-12T18:45:47.305514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 27e35cb7-e3fb-4721-beb4-3a92ec083588 · outbound

This paper cites Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach

Reference 9

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verified exact
local_arxiv, observed 2026-08-12T18:45:47.866879Z

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.

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Observation 1d069b1b-f0c9-495a-8c1c-f34ab889b51f · outbound

This paper cites On the Use of ArXiv as a Dataset.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models On the Use of ArXiv as a Dataset

Reference 10

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73a62454-40bf-4f5f-af00-0fe41e54a12f · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 11

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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.

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Observation 7e26c37d-631e-4a13-8e85-00606b53cbd5 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 259781e1-1179-4b19-9d5b-72610e974917 · outbound

This paper cites Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6ae8fc1-d58a-4850-982d-360f3ee55ee6 · outbound

This paper cites Data Quality Control in Federated Instruction-tuning of Large Language Models.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Data Quality Control in Federated Instruction-tuning of Large Language Models

Reference 14

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no resolver link, observed 2026-08-12T18:45:47.330011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f540b78-7172-4ca0-ba3b-5906990ecb16 · outbound

This paper cites The Llama 3 Herd of Models.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models The Llama 3 Herd of Models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0b0540e2-641a-45b1-baed-c59bcd8b7d58 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 16

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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.

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Observation 56830293-ee0c-42cb-8170-52d29974fe33 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3db9891d-f6de-43e7-88d7-82bba16f8de5 · outbound

This paper cites Textbooks Are All You Need.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Textbooks Are All You Need

Reference 18

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8f45303-ff9b-4ae4-9439-d3f80663947c · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 19

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e7fbd059-4ac2-467e-be30-3a8de261fbfa · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0f623f01-33f5-4707-8538-7b3077cb2f5f · outbound

This paper cites AceGPT, Localizing Large Language Models in Arabic.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models AceGPT, Localizing Large Language Models in Arabic

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d6e6250e-023d-4d6d-a103-021db00e6a67 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e306c955-246b-4b5b-b0f2-d0ebd66141ae · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Bag of Tricks for Efficient Text Classification

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c493f4d8-994e-4771-8471-d6d58d7eed69 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 67c03c44-4ea8-49cf-b150-d5e53cc813e5 · outbound

This paper cites Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models

Reference 25

Resolution
verified exact
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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.

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Observation fcccf092-180c-4eb0-94de-4d42536a4822 · outbound

This paper cites Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora

Reference 26

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verified exact
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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.

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Observation 14047864-7f4e-4151-9a07-5b9d27dae966 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2e0b4a27-b7c8-4664-8681-5df646ce620a · outbound

This paper cites A Survey of Large Language Models in Finance (FinLLMs).

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Survey of Large Language Models in Finance (FinLLMs)

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4c72d3dd-a3df-4e6a-b461-9f0e09781dfe · outbound

This paper cites ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af398f6b-33f5-4362-92d1-3dc7512643f2 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Textbooks Are All You Need II: phi-1.5 technical report

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4ccd94f2-71d0-40b4-9a6c-c400eed6ac19 · outbound

This paper cites Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 37096026-1430-4e0c-8202-edc335fd51ae · outbound

This paper cites Datasets for Large Language Models: A Comprehensive Survey.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Datasets for Large Language Models: A Comprehensive Survey

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 52887b6f-242a-42ba-a6a8-527b283ffe2f · outbound

This paper cites A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a0afc553-5248-47f1-8675-99c78764db6e · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

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Observation 4a0dba26-7c89-486b-91b2-1df0765b4655 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db0e676f-f173-4203-8376-45b5f9a53136 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4a4a7a2-4d5d-4754-a317-017caa9419c0 · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a99f2ae-5b13-4e08-90b5-ef4151953a8b · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 38

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Observation 115cdbb7-6edb-4bc4-9cf9-7979d9badd47 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 39

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Observation ba007ee1-7879-4889-8ecc-81f8c819e6ee · outbound

This paper cites Towards Trustable Language Models: Investigating Information Quality of Large Language Models.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Towards Trustable Language Models: Investigating Information Quality of Large Language Models

Reference 40

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Observation c3d4efd7-58b9-4bca-be02-88d5c24569b8 · outbound

This paper cites How to Train Data-Efficient LLMs.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models How to Train Data-Efficient LLMs

Reference 41

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Observation 8d292b3c-475e-4d4a-95d0-54bfb8352ec4 · outbound

This paper cites SlimPajama-DC: Understanding Data Combinations for LLM Training.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models SlimPajama-DC: Understanding Data Combinations for LLM Training

Reference 42

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Observation ace21aff-d788-466c-b759-b0916ab20317 · outbound

This paper cites an unresolved cited work.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation 3cab4dd2-992a-49d9-9ce9-52b24aa345f8 · outbound

This paper cites The Computational Limits of Deep Learning.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models The Computational Limits of Deep Learning

Reference 44

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Observation e22af3df-990c-46e8-853a-605afbf5b485 · outbound

This paper cites LaVy: Vietnamese Multimodal Large Language Model.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models LaVy: Vietnamese Multimodal Large Language Model

Reference 45

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Source-reported events for the cited work

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Observation 056c7337-fd3a-4750-b319-ba5022c4b0e8 · outbound

This paper cites CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Reference 46

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Observation 7484a543-0137-4b88-b206-5367299cfeff · outbound

This paper cites A Survey of Large Language Models.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models A Survey of Large Language Models

Reference 47

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Observation bbcbf633-7451-4458-907c-cdfd33e8a7aa · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models How do Large Language Models Handle Multilingualism?

Reference 48

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Observation 6f51b415-8845-43ba-bc12-264b5b970d3e · outbound

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

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Reference 49

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Pith citing papers

No inbound Pith citation observations are available.